From 787dbbed900dfb1c4dc853a89e2e9374b150003f Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Thu, 30 Oct 2025 22:50:02 +0100 Subject: [PATCH 01/18] Updating DiffstarPop to final model from the paper, which uses the sigslope model for the scaling relations of the mean ecrit and qtime parameters --- ...arfits_mgash_galacticus_in_plus_ex_situ.py | 129 ++++++------ ...s_diffstarfits_mgash_galacticus_in_situ.py | 135 +++++++------ .../params_diffstarfits_mgash_smdpl_dr1.py | 139 +++++++------ ..._diffstarfits_mgash_smdpl_dr1_nomerging.py | 133 +++++++------ .../params/params_diffstarfits_mgash_tng.py | 137 +++++++------ ...opfits_mgash_galacticus_in_plus_ex_situ.py | 145 +++++++------- ...iffstarpopfits_mgash_galacticus_in_situ.py | 145 +++++++------- .../params_diffstarpopfits_mgash_smdpl_dr1.py | 151 +++++++------- ...ffstarpopfits_mgash_smdpl_dr1_nomerging.py | 151 +++++++------- .../params_diffstarpopfits_mgash_tng.py | 143 ++++++------- diffstar/diffstarpop/kernels/sfh_pdf_mgash.py | 188 ++++++++++-------- 11 files changed, 842 insertions(+), 754 deletions(-) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_galacticus_in_plus_ex_situ.py b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_galacticus_in_plus_ex_situ.py index e6c65b6..9176a3a 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_galacticus_in_plus_ex_situ.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_galacticus_in_plus_ex_situ.py @@ -1,74 +1,82 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.780), - ("mean_ulgm_mseq_ytp", 11.668), - ("mean_ulgm_mseq_lo", 0.748), + ("mean_ulgm_mseq_xtp", 12.029), + ("mean_ulgm_mseq_ytp", 11.300), + ("mean_ulgm_mseq_lo", 2.812), ("mean_ulgm_mseq_hi", 0.400), - ("mean_ulgy_mseq_int", -9.299), - ("mean_ulgy_mseq_slp", 0.409), + ("mean_ulgy_mseq_xtp", 12.344), + ("mean_ulgy_mseq_ytp", -9.296), + ("mean_ulgy_mseq_lo", 0.902), + ("mean_ulgy_mseq_hi", 0.303), ("mean_ul_mseq_int", -0.639), ("mean_ul_mseq_slp", 0.988), - ("mean_uh_mseq_int", -0.607), - ("mean_uh_mseq_slp", -0.312), - ("mean_ulgm_qseq_xtp", 13.252), - ("mean_ulgm_qseq_ytp", 11.971), - ("mean_ulgm_qseq_lo", 0.639), - ("mean_ulgm_qseq_hi", 0.208), - ("mean_ulgy_qseq_int", -9.243), - ("mean_ulgy_qseq_slp", 0.660), - ("mean_ul_qseq_int", -0.758), - ("mean_ul_qseq_slp", 0.421), - ("mean_uh_qseq_int", -0.661), - ("mean_uh_qseq_slp", -0.334), - ("mean_uqt_int", 1.065), - ("mean_uqt_slp", -0.003), - ("mean_uqs_int", -0.352), - ("mean_uqs_slp", -0.273), - ("mean_udrop_int", -1.938), - ("mean_udrop_slp", 0.551), - ("mean_urej_int", -0.620), - ("mean_urej_slp", -0.206), + ("mean_uh_mseq_int", -0.391), + ("mean_uh_mseq_slp", 0.161), + ("mean_ulgm_qseq_xtp", 13.078), + ("mean_ulgm_qseq_ytp", 11.903), + ("mean_ulgm_qseq_lo", 0.794), + ("mean_ulgm_qseq_hi", 0.230), + ("mean_ulgy_qseq_xtp", 12.112), + ("mean_ulgy_qseq_ytp", -9.421), + ("mean_ulgy_qseq_lo", 0.725), + ("mean_ulgy_qseq_hi", 0.356), + ("mean_ul_qseq_int", -0.714), + ("mean_ul_qseq_slp", 0.616), + ("mean_uh_qseq_int", -0.582), + ("mean_uh_qseq_slp", -0.115), + ("mean_uqt_xtp", 12.922), + ("mean_uqt_ytp", 1.047), + ("mean_uqt_lo", -0.100), + ("mean_uqt_hi", -0.100), + ("mean_uqs_int", -0.298), + ("mean_uqs_slp", -0.411), + ("mean_udrop_int", -1.953), + ("mean_udrop_slp", 0.586), + ("mean_urej_int", -0.853), + ("mean_urej_slp", 0.329), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ - ("std_ulgm_mseq_int", 0.355), - ("std_ulgm_mseq_slp", -0.015), - ("std_ulgy_mseq_int", 0.277), - ("std_ulgy_mseq_slp", 0.103), - ("std_ul_mseq_int", 2.221), - ("std_ul_mseq_slp", 0.900), - ("std_uh_mseq_int", 0.651), - ("std_uh_mseq_slp", -0.155), - ("std_ulgm_qseq_int", 0.313), - ("std_ulgm_qseq_slp", -0.022), - ("std_ulgy_qseq_int", 0.257), - ("std_ulgy_qseq_slp", 0.075), - ("std_ul_qseq_int", 2.241), - ("std_ul_qseq_slp", -0.130), - ("std_uh_qseq_int", 0.482), - ("std_uh_qseq_slp", 0.007), + ("std_ulgm_mseq_int", 0.552), + ("std_ulgm_mseq_slp", -0.433), + ("std_ulgy_mseq_int", 0.298), + ("std_ulgy_mseq_slp", 0.046), + ("std_ul_mseq_int", 2.469), + ("std_ul_mseq_slp", 0.677), + ("std_uh_mseq_int", 0.705), + ("std_uh_mseq_slp", -0.287), + ("std_ulgm_qseq_int", 0.492), + ("std_ulgm_qseq_slp", -0.293), + ("std_ulgy_qseq_int", 0.264), + ("std_ulgy_qseq_slp", 0.063), + ("std_ul_qseq_int", 2.263), + ("std_ul_qseq_slp", -0.165), + ("std_uh_qseq_int", 0.528), + ("std_uh_qseq_slp", -0.067), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.067), - ("std_uqt_slp", 0.013), + ("std_uqt_int", 0.075), + ("std_uqt_slp", -0.008), ("std_uqs_int", 0.900), ("std_uqs_slp", 0.900), - ("std_udrop_int", 0.589), - ("std_udrop_slp", 0.049), - ("std_urej_int", 0.867), - ("std_urej_slp", 0.049), + ("std_udrop_int", 0.600), + ("std_udrop_slp", 0.020), + ("std_urej_int", 0.979), + ("std_urej_slp", -0.205), ] ) @@ -76,18 +84,18 @@ [ ("frac_quench_cen_x0_tpeak", 7.000), ("frac_quench_cen_k_tpeak", 2.000), - ("frac_quench_cen_x0_ylotpeak", 11.100), - ("frac_quench_cen_x0_yhitpeak", 13.008), + ("frac_quench_cen_x0_ylotpeak", 11.750), + ("frac_quench_cen_x0_yhitpeak", 12.965), ("frac_quench_cen_ylo_ylotpeak", 0.990), - ("frac_quench_cen_ylo_yhitpeak", 0.446), + ("frac_quench_cen_ylo_yhitpeak", 0.625), ("frac_quench_cen_k", 3.848), ("frac_quench_cen_yhi", 0.971), ("frac_quench_sat_x0_tpeak", 7.000), ("frac_quench_sat_k_tpeak", 2.000), - ("frac_quench_sat_x0_ylotpeak", 11.100), - ("frac_quench_sat_x0_yhitpeak", 13.008), + ("frac_quench_sat_x0_ylotpeak", 11.750), + ("frac_quench_sat_x0_yhitpeak", 12.965), ("frac_quench_sat_ylo_ylotpeak", 0.990), - ("frac_quench_sat_ylo_yhitpeak", 0.446), + ("frac_quench_sat_ylo_yhitpeak", 0.625), ("frac_quench_sat_k", 3.848), ("frac_quench_sat_yhi", 0.971), ] @@ -95,10 +103,10 @@ DELTA_UQT_PDICT = OrderedDict( [ ("delta_uqt_x0", 1.001), - ("delta_uqt_k", 0.836), - ("delta_uqt_ylo", -0.583), - ("delta_uqt_yhi", -0.006), - ("delta_uqt_slope", -0.017), + ("delta_uqt_k", 0.714), + ("delta_uqt_ylo", -0.611), + ("delta_uqt_yhi", 0.002), + ("delta_uqt_slope", -0.024), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -112,7 +120,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARFITS_GALACTICUS_INPLUSEX_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_galacticus_in_situ.py b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_galacticus_in_situ.py index 5d9348e..708fd1c 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_galacticus_in_situ.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_galacticus_in_situ.py @@ -1,74 +1,82 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 13.561), - ("mean_ulgm_mseq_ytp", 12.181), - ("mean_ulgm_mseq_lo", 0.628), - ("mean_ulgm_mseq_hi", -0.819), - ("mean_ulgy_mseq_int", -9.663), - ("mean_ulgy_mseq_slp", 0.105), + ("mean_ulgm_mseq_xtp", 13.189), + ("mean_ulgm_mseq_ytp", 12.079), + ("mean_ulgm_mseq_lo", 0.783), + ("mean_ulgm_mseq_hi", -0.001), + ("mean_ulgy_mseq_xtp", 11.995), + ("mean_ulgy_mseq_ytp", -9.781), + ("mean_ulgy_mseq_lo", 0.927), + ("mean_ulgy_mseq_hi", 0.091), ("mean_ul_mseq_int", -0.715), ("mean_ul_mseq_slp", 1.717), - ("mean_uh_mseq_int", -0.392), - ("mean_uh_mseq_slp", 0.043), - ("mean_ulgm_qseq_xtp", 12.728), - ("mean_ulgm_qseq_ytp", 11.931), - ("mean_ulgm_qseq_lo", 0.769), - ("mean_ulgm_qseq_hi", 0.123), - ("mean_ulgy_qseq_int", -9.647), - ("mean_ulgy_qseq_slp", 0.382), - ("mean_ul_qseq_int", -0.378), - ("mean_ul_qseq_slp", 1.047), - ("mean_uh_qseq_int", -0.196), - ("mean_uh_qseq_slp", 0.157), - ("mean_uqt_int", 1.034), - ("mean_uqt_slp", -0.096), - ("mean_uqs_int", 0.040), - ("mean_uqs_slp", -0.173), - ("mean_udrop_int", -1.963), - ("mean_udrop_slp", 0.746), - ("mean_urej_int", -0.524), - ("mean_urej_slp", 0.164), + ("mean_uh_mseq_int", -0.253), + ("mean_uh_mseq_slp", 0.364), + ("mean_ulgm_qseq_xtp", 13.473), + ("mean_ulgm_qseq_ytp", 12.089), + ("mean_ulgm_qseq_lo", 0.404), + ("mean_ulgm_qseq_hi", -0.228), + ("mean_ulgy_qseq_xtp", 12.303), + ("mean_ulgy_qseq_ytp", -9.608), + ("mean_ulgy_qseq_lo", 0.446), + ("mean_ulgy_qseq_hi", 0.017), + ("mean_ul_qseq_int", -0.388), + ("mean_ul_qseq_slp", 0.954), + ("mean_uh_qseq_int", -0.153), + ("mean_uh_qseq_slp", 0.284), + ("mean_uqt_xtp", 12.746), + ("mean_uqt_ytp", 1.035), + ("mean_uqt_lo", -0.100), + ("mean_uqt_hi", -0.150), + ("mean_uqs_int", 0.057), + ("mean_uqs_slp", -0.196), + ("mean_udrop_int", -1.917), + ("mean_udrop_slp", 0.684), + ("mean_urej_int", -0.749), + ("mean_urej_slp", 0.472), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ - ("std_ulgm_mseq_int", 0.405), - ("std_ulgm_mseq_slp", -0.094), - ("std_ulgy_mseq_int", 0.229), - ("std_ulgy_mseq_slp", -0.006), - ("std_ul_mseq_int", 2.073), - ("std_ul_mseq_slp", 0.374), - ("std_uh_mseq_int", 1.176), - ("std_uh_mseq_slp", -0.200), - ("std_ulgm_qseq_int", 0.420), - ("std_ulgm_qseq_slp", -0.019), - ("std_ulgy_qseq_int", 0.227), - ("std_ulgy_qseq_slp", -0.014), - ("std_ul_qseq_int", 2.174), - ("std_ul_qseq_slp", -0.137), - ("std_uh_qseq_int", 0.761), - ("std_uh_qseq_slp", -0.141), + ("std_ulgm_mseq_int", 0.527), + ("std_ulgm_mseq_slp", -0.248), + ("std_ulgy_mseq_int", 0.247), + ("std_ulgy_mseq_slp", -0.031), + ("std_ul_mseq_int", 2.156), + ("std_ul_mseq_slp", 0.260), + ("std_uh_mseq_int", 1.112), + ("std_uh_mseq_slp", -0.113), + ("std_ulgm_qseq_int", 0.434), + ("std_ulgm_qseq_slp", -0.097), + ("std_ulgy_qseq_int", 0.229), + ("std_ulgy_qseq_slp", -0.018), + ("std_ul_qseq_int", 2.179), + ("std_ul_qseq_slp", -0.124), + ("std_uh_qseq_int", 0.770), + ("std_uh_qseq_slp", -0.177), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.083), - ("std_uqt_slp", 0.070), + ("std_uqt_int", 0.110), + ("std_uqt_slp", 0.032), ("std_uqs_int", 0.900), - ("std_uqs_slp", 0.002), - ("std_udrop_int", 0.607), - ("std_udrop_slp", 0.097), - ("std_urej_int", 0.893), - ("std_urej_slp", 0.260), + ("std_uqs_slp", 0.120), + ("std_udrop_int", 0.639), + ("std_udrop_slp", 0.053), + ("std_urej_int", 1.118), + ("std_urej_slp", -0.044), ] ) @@ -76,29 +84,29 @@ [ ("frac_quench_cen_x0_tpeak", 7.000), ("frac_quench_cen_k_tpeak", 2.000), - ("frac_quench_cen_x0_ylotpeak", 11.708), - ("frac_quench_cen_x0_yhitpeak", 13.900), + ("frac_quench_cen_x0_ylotpeak", 11.692), + ("frac_quench_cen_x0_yhitpeak", 12.963), ("frac_quench_cen_ylo_ylotpeak", 0.990), - ("frac_quench_cen_ylo_yhitpeak", 0.413), + ("frac_quench_cen_ylo_yhitpeak", 0.525), ("frac_quench_cen_k", 3.848), ("frac_quench_cen_yhi", 0.971), ("frac_quench_sat_x0_tpeak", 7.000), ("frac_quench_sat_k_tpeak", 2.000), - ("frac_quench_sat_x0_ylotpeak", 11.708), - ("frac_quench_sat_x0_yhitpeak", 13.900), + ("frac_quench_sat_x0_ylotpeak", 11.692), + ("frac_quench_sat_x0_yhitpeak", 12.963), ("frac_quench_sat_ylo_ylotpeak", 0.990), - ("frac_quench_sat_ylo_yhitpeak", 0.413), + ("frac_quench_sat_ylo_yhitpeak", 0.525), ("frac_quench_sat_k", 3.848), ("frac_quench_sat_yhi", 0.971), ] ) DELTA_UQT_PDICT = OrderedDict( [ - ("delta_uqt_x0", 1.977), - ("delta_uqt_k", 1.334), - ("delta_uqt_ylo", -0.367), - ("delta_uqt_yhi", -0.008), - ("delta_uqt_slope", -0.013), + ("delta_uqt_x0", 1.659), + ("delta_uqt_k", 0.939), + ("delta_uqt_ylo", -0.466), + ("delta_uqt_yhi", 0.000), + ("delta_uqt_slope", -0.022), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -112,7 +120,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARFITS_GALACTICUS_IN_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_smdpl_dr1.py b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_smdpl_dr1.py index 17debe7..28d4f48 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_smdpl_dr1.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_smdpl_dr1.py @@ -1,74 +1,82 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.167), - ("mean_ulgm_mseq_ytp", 12.109), - ("mean_ulgm_mseq_lo", 0.751), - ("mean_ulgm_mseq_hi", 0.173), - ("mean_ulgy_mseq_int", -9.812), - ("mean_ulgy_mseq_slp", 0.625), + ("mean_ulgm_mseq_xtp", 12.097), + ("mean_ulgm_mseq_ytp", 12.082), + ("mean_ulgm_mseq_lo", 0.812), + ("mean_ulgm_mseq_hi", 0.185), + ("mean_ulgy_mseq_xtp", 12.131), + ("mean_ulgy_mseq_ytp", -10.094), + ("mean_ulgy_mseq_lo", 0.929), + ("mean_ulgy_mseq_hi", 0.400), ("mean_ul_mseq_int", -1.815), ("mean_ul_mseq_slp", 1.089), - ("mean_uh_mseq_int", 0.746), - ("mean_uh_mseq_slp", -0.726), - ("mean_ulgm_qseq_xtp", 12.147), - ("mean_ulgm_qseq_ytp", 12.145), - ("mean_ulgm_qseq_lo", 0.940), - ("mean_ulgm_qseq_hi", 0.046), - ("mean_ulgy_qseq_int", -9.829), - ("mean_ulgy_qseq_slp", 0.831), - ("mean_ul_qseq_int", -1.954), - ("mean_ul_qseq_slp", 0.784), - ("mean_uh_qseq_int", 0.986), - ("mean_uh_qseq_slp", -0.186), - ("mean_uqt_int", 1.025), - ("mean_uqt_slp", 0.013), - ("mean_uqs_int", -0.226), - ("mean_uqs_slp", 0.098), - ("mean_udrop_int", -1.823), - ("mean_udrop_slp", 0.071), - ("mean_urej_int", -0.753), - ("mean_urej_slp", -0.236), + ("mean_uh_mseq_int", 0.820), + ("mean_uh_mseq_slp", -0.458), + ("mean_ulgm_qseq_xtp", 12.168), + ("mean_ulgm_qseq_ytp", 12.153), + ("mean_ulgm_qseq_lo", 0.882), + ("mean_ulgm_qseq_hi", 0.040), + ("mean_ulgy_qseq_xtp", 12.803), + ("mean_ulgy_qseq_ytp", -9.594), + ("mean_ulgy_qseq_lo", 0.714), + ("mean_ulgy_qseq_hi", 0.400), + ("mean_ul_qseq_int", -2.700), + ("mean_ul_qseq_slp", -0.220), + ("mean_uh_qseq_int", 1.910), + ("mean_uh_qseq_slp", 1.035), + ("mean_uqt_xtp", 12.005), + ("mean_uqt_ytp", 1.036), + ("mean_uqt_lo", -0.190), + ("mean_uqt_hi", -0.100), + ("mean_uqs_int", -0.230), + ("mean_uqs_slp", 0.104), + ("mean_udrop_int", -1.814), + ("mean_udrop_slp", 0.054), + ("mean_urej_int", -0.739), + ("mean_urej_slp", -0.261), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ ("std_ulgm_mseq_int", 0.254), - ("std_ulgm_mseq_slp", 0.154), - ("std_ulgy_mseq_int", 0.269), - ("std_ulgy_mseq_slp", 0.033), - ("std_ul_mseq_int", 1.925), - ("std_ul_mseq_slp", 0.544), - ("std_uh_mseq_int", 1.463), - ("std_uh_mseq_slp", 0.010), - ("std_ulgm_qseq_int", 0.192), - ("std_ulgm_qseq_slp", 0.127), - ("std_ulgy_qseq_int", 0.287), - ("std_ulgy_qseq_slp", -0.034), - ("std_ul_qseq_int", 2.015), - ("std_ul_qseq_slp", 0.181), - ("std_uh_qseq_int", 1.041), - ("std_uh_qseq_slp", 0.063), + ("std_ulgm_mseq_slp", 0.153), + ("std_ulgy_mseq_int", 0.273), + ("std_ulgy_mseq_slp", 0.027), + ("std_ul_mseq_int", 1.941), + ("std_ul_mseq_slp", 0.516), + ("std_uh_mseq_int", 1.458), + ("std_uh_mseq_slp", 0.020), + ("std_ulgm_qseq_int", 0.194), + ("std_ulgm_qseq_slp", 0.096), + ("std_ulgy_qseq_int", 0.291), + ("std_ulgy_qseq_slp", -0.223), + ("std_ul_qseq_int", 2.091), + ("std_ul_qseq_slp", -0.183), + ("std_uh_qseq_int", 1.017), + ("std_uh_qseq_slp", 0.066), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.080), - ("std_uqt_slp", 0.010), - ("std_uqs_int", 0.613), - ("std_uqs_slp", 0.221), - ("std_udrop_int", 0.796), - ("std_udrop_slp", -0.120), - ("std_urej_int", 1.166), - ("std_urej_slp", -0.021), + ("std_uqt_int", 0.079), + ("std_uqt_slp", 0.001), + ("std_uqs_int", 0.615), + ("std_uqs_slp", 0.217), + ("std_udrop_int", 0.798), + ("std_udrop_slp", -0.124), + ("std_urej_int", 1.168), + ("std_urej_slp", -0.025), ] ) @@ -76,29 +84,29 @@ [ ("frac_quench_cen_x0_tpeak", 7.000), ("frac_quench_cen_k_tpeak", 2.000), - ("frac_quench_cen_x0_ylotpeak", 11.238), - ("frac_quench_cen_x0_yhitpeak", 11.780), - ("frac_quench_cen_ylo_ylotpeak", 0.246), - ("frac_quench_cen_ylo_yhitpeak", 0.027), + ("frac_quench_cen_x0_ylotpeak", 11.280), + ("frac_quench_cen_x0_yhitpeak", 11.658), + ("frac_quench_cen_ylo_ylotpeak", 0.010), + ("frac_quench_cen_ylo_yhitpeak", 0.040), ("frac_quench_cen_k", 3.848), ("frac_quench_cen_yhi", 0.971), ("frac_quench_sat_x0_tpeak", 7.000), ("frac_quench_sat_k_tpeak", 2.000), - ("frac_quench_sat_x0_ylotpeak", 11.238), - ("frac_quench_sat_x0_yhitpeak", 11.780), - ("frac_quench_sat_ylo_ylotpeak", 0.246), - ("frac_quench_sat_ylo_yhitpeak", 0.027), + ("frac_quench_sat_x0_ylotpeak", 11.280), + ("frac_quench_sat_x0_yhitpeak", 11.658), + ("frac_quench_sat_ylo_ylotpeak", 0.010), + ("frac_quench_sat_ylo_yhitpeak", 0.040), ("frac_quench_sat_k", 3.848), ("frac_quench_sat_yhi", 0.971), ] ) DELTA_UQT_PDICT = OrderedDict( [ - ("delta_uqt_x0", 2.846), - ("delta_uqt_k", 0.515), - ("delta_uqt_ylo", -0.484), - ("delta_uqt_yhi", 0.036), - ("delta_uqt_slope", -0.072), + ("delta_uqt_x0", 3.260), + ("delta_uqt_k", 0.536), + ("delta_uqt_ylo", -0.372), + ("delta_uqt_yhi", 0.015), + ("delta_uqt_slope", -0.065), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -112,7 +120,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARFITS_SMDPL_DR1_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_smdpl_dr1_nomerging.py b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_smdpl_dr1_nomerging.py index 5afa440..c11ab6f 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_smdpl_dr1_nomerging.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_smdpl_dr1_nomerging.py @@ -1,74 +1,82 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.113), - ("mean_ulgm_mseq_ytp", 12.089), - ("mean_ulgm_mseq_lo", 0.821), - ("mean_ulgm_mseq_hi", 0.108), - ("mean_ulgy_mseq_int", -9.899), - ("mean_ulgy_mseq_slp", 0.389), + ("mean_ulgm_mseq_xtp", 12.133), + ("mean_ulgm_mseq_ytp", 12.097), + ("mean_ulgm_mseq_lo", 0.793), + ("mean_ulgm_mseq_hi", 0.104), + ("mean_ulgy_mseq_xtp", 13.085), + ("mean_ulgy_mseq_ytp", -9.718), + ("mean_ulgy_mseq_lo", 0.638), + ("mean_ulgy_mseq_hi", 0.144), ("mean_ul_mseq_int", -0.804), ("mean_ul_mseq_slp", 0.743), - ("mean_uh_mseq_int", -1.615), - ("mean_uh_mseq_slp", -2.708), - ("mean_ulgm_qseq_xtp", 12.282), - ("mean_ulgm_qseq_ytp", 12.238), - ("mean_ulgm_qseq_lo", 0.781), - ("mean_ulgm_qseq_hi", 0.072), - ("mean_ulgy_qseq_int", -9.977), - ("mean_ulgy_qseq_slp", 0.734), - ("mean_ul_qseq_int", -0.705), - ("mean_ul_qseq_slp", 0.850), - ("mean_uh_qseq_int", -0.350), - ("mean_uh_qseq_slp", -1.369), - ("mean_uqt_int", 0.950), - ("mean_uqt_slp", -0.203), - ("mean_uqs_int", -0.112), - ("mean_uqs_slp", 0.395), - ("mean_udrop_int", -2.143), - ("mean_udrop_slp", 0.232), - ("mean_urej_int", -1.227), - ("mean_urej_slp", -0.010), + ("mean_uh_mseq_int", -1.504), + ("mean_uh_mseq_slp", -2.294), + ("mean_ulgm_qseq_xtp", 12.264), + ("mean_ulgm_qseq_ytp", 12.232), + ("mean_ulgm_qseq_lo", 0.816), + ("mean_ulgm_qseq_hi", 0.075), + ("mean_ulgy_qseq_xtp", 12.567), + ("mean_ulgy_qseq_ytp", -9.840), + ("mean_ulgy_qseq_lo", 0.579), + ("mean_ulgy_qseq_hi", 0.329), + ("mean_ul_qseq_int", -0.847), + ("mean_ul_qseq_slp", 0.753), + ("mean_uh_qseq_int", 1.142), + ("mean_uh_qseq_slp", 0.581), + ("mean_uqt_xtp", 12.862), + ("mean_uqt_ytp", 0.902), + ("mean_uqt_lo", -0.124), + ("mean_uqt_hi", -0.267), + ("mean_uqs_int", -0.109), + ("mean_uqs_slp", 0.391), + ("mean_udrop_int", -2.140), + ("mean_udrop_slp", 0.229), + ("mean_urej_int", -1.217), + ("mean_urej_slp", -0.024), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ - ("std_ulgm_mseq_int", 0.287), - ("std_ulgm_mseq_slp", 0.146), - ("std_ulgy_mseq_int", 0.285), - ("std_ulgy_mseq_slp", 0.039), - ("std_ul_mseq_int", 1.263), - ("std_ul_mseq_slp", 0.445), - ("std_uh_mseq_int", 2.516), + ("std_ulgm_mseq_int", 0.288), + ("std_ulgm_mseq_slp", 0.145), + ("std_ulgy_mseq_int", 0.289), + ("std_ulgy_mseq_slp", 0.034), + ("std_ul_mseq_int", 1.284), + ("std_ul_mseq_slp", 0.415), + ("std_uh_mseq_int", 2.477), ("std_uh_mseq_slp", -0.900), - ("std_ulgm_qseq_int", 0.250), - ("std_ulgm_qseq_slp", 0.190), - ("std_ulgy_qseq_int", 0.307), - ("std_ulgy_qseq_slp", 0.022), - ("std_ul_qseq_int", 1.687), - ("std_ul_qseq_slp", 0.269), - ("std_uh_qseq_int", 1.499), - ("std_uh_qseq_slp", -0.246), + ("std_ulgm_qseq_int", 0.238), + ("std_ulgm_qseq_slp", 0.125), + ("std_ulgy_qseq_int", 0.257), + ("std_ulgy_qseq_slp", -0.220), + ("std_ul_qseq_int", 1.661), + ("std_ul_qseq_slp", -0.455), + ("std_uh_qseq_int", 1.484), + ("std_uh_qseq_slp", 0.218), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ ("std_uqt_int", 0.121), - ("std_uqt_slp", 0.052), - ("std_uqs_int", 0.567), - ("std_uqs_slp", -0.029), - ("std_udrop_int", 0.749), - ("std_udrop_slp", 0.162), - ("std_urej_int", 1.357), - ("std_urej_slp", 0.069), + ("std_uqt_slp", 0.053), + ("std_uqs_int", 0.565), + ("std_uqs_slp", -0.027), + ("std_udrop_int", 0.745), + ("std_udrop_slp", 0.168), + ("std_urej_int", 1.359), + ("std_urej_slp", 0.066), ] ) @@ -76,17 +84,17 @@ [ ("frac_quench_cen_x0_tpeak", 7.000), ("frac_quench_cen_k_tpeak", 2.000), - ("frac_quench_cen_x0_ylotpeak", 11.652), - ("frac_quench_cen_x0_yhitpeak", 11.882), - ("frac_quench_cen_ylo_ylotpeak", 0.555), + ("frac_quench_cen_x0_ylotpeak", 11.349), + ("frac_quench_cen_x0_yhitpeak", 11.862), + ("frac_quench_cen_ylo_ylotpeak", 0.038), ("frac_quench_cen_ylo_yhitpeak", 0.010), ("frac_quench_cen_k", 3.848), ("frac_quench_cen_yhi", 0.971), ("frac_quench_sat_x0_tpeak", 7.000), ("frac_quench_sat_k_tpeak", 2.000), - ("frac_quench_sat_x0_ylotpeak", 11.652), - ("frac_quench_sat_x0_yhitpeak", 11.882), - ("frac_quench_sat_ylo_ylotpeak", 0.555), + ("frac_quench_sat_x0_ylotpeak", 11.349), + ("frac_quench_sat_x0_yhitpeak", 11.862), + ("frac_quench_sat_ylo_ylotpeak", 0.038), ("frac_quench_sat_ylo_yhitpeak", 0.010), ("frac_quench_sat_k", 3.848), ("frac_quench_sat_yhi", 0.971), @@ -94,11 +102,11 @@ ) DELTA_UQT_PDICT = OrderedDict( [ - ("delta_uqt_x0", 1.554), - ("delta_uqt_k", 0.501), - ("delta_uqt_ylo", -0.578), - ("delta_uqt_yhi", 0.037), - ("delta_uqt_slope", -0.050), + ("delta_uqt_x0", 1.548), + ("delta_uqt_k", 0.493), + ("delta_uqt_ylo", -0.494), + ("delta_uqt_yhi", 0.023), + ("delta_uqt_slope", -0.049), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -112,7 +120,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARFITS_SMDPL_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_tng.py b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_tng.py index 8e158b3..21553f7 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_tng.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarfits_mgash_tng.py @@ -1,74 +1,82 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.315), - ("mean_ulgm_mseq_ytp", 11.579), - ("mean_ulgm_mseq_lo", 0.122), - ("mean_ulgm_mseq_hi", 0.372), - ("mean_ulgy_mseq_int", -9.593), - ("mean_ulgy_mseq_slp", 0.403), + ("mean_ulgm_mseq_xtp", 11.300), + ("mean_ulgm_mseq_ytp", 11.300), + ("mean_ulgm_mseq_lo", 1.296), + ("mean_ulgm_mseq_hi", 0.336), + ("mean_ulgy_mseq_xtp", 13.509), + ("mean_ulgy_mseq_ytp", -9.297), + ("mean_ulgy_mseq_lo", 0.543), + ("mean_ulgy_mseq_hi", 0.247), ("mean_ul_mseq_int", -0.358), ("mean_ul_mseq_slp", 1.187), - ("mean_uh_mseq_int", -0.473), - ("mean_uh_mseq_slp", 1.422), - ("mean_ulgm_qseq_xtp", 11.803), - ("mean_ulgm_qseq_ytp", 11.551), - ("mean_ulgm_qseq_lo", -0.008), - ("mean_ulgm_qseq_hi", 0.282), - ("mean_ulgy_qseq_int", -9.828), - ("mean_ulgy_qseq_slp", 0.562), - ("mean_ul_qseq_int", -0.328), - ("mean_ul_qseq_slp", 1.712), - ("mean_uh_qseq_int", -0.755), - ("mean_uh_qseq_slp", -0.501), - ("mean_uqt_int", 0.990), - ("mean_uqt_slp", -0.071), - ("mean_uqs_int", 0.172), - ("mean_uqs_slp", -0.124), - ("mean_udrop_int", -2.095), - ("mean_udrop_slp", 0.646), - ("mean_urej_int", -0.979), - ("mean_urej_slp", 0.478), + ("mean_uh_mseq_int", -0.807), + ("mean_uh_mseq_slp", 0.066), + ("mean_ulgm_qseq_xtp", 12.622), + ("mean_ulgm_qseq_ytp", 11.767), + ("mean_ulgm_qseq_lo", 0.289), + ("mean_ulgm_qseq_hi", 0.297), + ("mean_ulgy_qseq_xtp", 12.334), + ("mean_ulgy_qseq_ytp", -9.655), + ("mean_ulgy_qseq_lo", 0.572), + ("mean_ulgy_qseq_hi", 0.388), + ("mean_ul_qseq_int", -0.354), + ("mean_ul_qseq_slp", 1.694), + ("mean_uh_qseq_int", -0.924), + ("mean_uh_qseq_slp", -0.869), + ("mean_uqt_xtp", 13.226), + ("mean_uqt_ytp", 0.929), + ("mean_uqt_lo", -0.100), + ("mean_uqt_hi", -0.100), + ("mean_uqs_int", 0.144), + ("mean_uqs_slp", -0.081), + ("mean_udrop_int", -2.026), + ("mean_udrop_slp", 0.543), + ("mean_urej_int", -0.932), + ("mean_urej_slp", 0.409), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ - ("std_ulgm_mseq_int", 0.404), - ("std_ulgm_mseq_slp", -0.013), - ("std_ulgy_mseq_int", 0.281), - ("std_ulgy_mseq_slp", 0.009), - ("std_ul_mseq_int", 1.583), - ("std_ul_mseq_slp", 0.462), - ("std_uh_mseq_int", 1.616), - ("std_uh_mseq_slp", -0.297), - ("std_ulgm_qseq_int", 0.361), - ("std_ulgm_qseq_slp", 0.056), - ("std_ulgy_qseq_int", 0.275), - ("std_ulgy_qseq_slp", -0.011), - ("std_ul_qseq_int", 1.740), - ("std_ul_qseq_slp", -0.135), - ("std_uh_qseq_int", 1.327), - ("std_uh_qseq_slp", -0.477), + ("std_ulgm_mseq_int", 0.379), + ("std_ulgm_mseq_slp", 0.025), + ("std_ulgy_mseq_int", 0.283), + ("std_ulgy_mseq_slp", 0.007), + ("std_ul_mseq_int", 1.665), + ("std_ul_mseq_slp", 0.337), + ("std_uh_mseq_int", 1.588), + ("std_uh_mseq_slp", -0.254), + ("std_ulgm_qseq_int", 0.362), + ("std_ulgm_qseq_slp", 0.001), + ("std_ulgy_qseq_int", 0.274), + ("std_ulgy_qseq_slp", -0.008), + ("std_ul_qseq_int", 1.766), + ("std_ul_qseq_slp", -0.476), + ("std_uh_qseq_int", 1.306), + ("std_uh_qseq_slp", -0.208), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.124), - ("std_uqt_slp", 0.082), - ("std_uqs_int", 0.577), - ("std_uqs_slp", 0.204), - ("std_udrop_int", 0.806), - ("std_udrop_slp", -0.100), - ("std_urej_int", 1.197), - ("std_urej_slp", -0.076), + ("std_uqt_int", 0.131), + ("std_uqt_slp", 0.071), + ("std_uqs_int", 0.590), + ("std_uqs_slp", 0.184), + ("std_udrop_int", 0.784), + ("std_udrop_slp", -0.065), + ("std_urej_int", 1.221), + ("std_urej_slp", -0.111), ] ) @@ -76,29 +84,29 @@ [ ("frac_quench_cen_x0_tpeak", 7.000), ("frac_quench_cen_k_tpeak", 2.000), - ("frac_quench_cen_x0_ylotpeak", 11.610), - ("frac_quench_cen_x0_yhitpeak", 12.066), + ("frac_quench_cen_x0_ylotpeak", 11.100), + ("frac_quench_cen_x0_yhitpeak", 12.813), ("frac_quench_cen_ylo_ylotpeak", 0.990), - ("frac_quench_cen_ylo_yhitpeak", 0.099), + ("frac_quench_cen_ylo_yhitpeak", 0.196), ("frac_quench_cen_k", 3.848), ("frac_quench_cen_yhi", 0.971), ("frac_quench_sat_x0_tpeak", 7.000), ("frac_quench_sat_k_tpeak", 2.000), - ("frac_quench_sat_x0_ylotpeak", 11.610), - ("frac_quench_sat_x0_yhitpeak", 12.066), + ("frac_quench_sat_x0_ylotpeak", 11.100), + ("frac_quench_sat_x0_yhitpeak", 12.813), ("frac_quench_sat_ylo_ylotpeak", 0.990), - ("frac_quench_sat_ylo_yhitpeak", 0.099), + ("frac_quench_sat_ylo_yhitpeak", 0.196), ("frac_quench_sat_k", 3.848), ("frac_quench_sat_yhi", 0.971), ] ) DELTA_UQT_PDICT = OrderedDict( [ - ("delta_uqt_x0", 3.294), - ("delta_uqt_k", 4.727), - ("delta_uqt_ylo", -0.326), - ("delta_uqt_yhi", 0.025), - ("delta_uqt_slope", 0.021), + ("delta_uqt_x0", 3.309), + ("delta_uqt_k", 4.719), + ("delta_uqt_ylo", -0.308), + ("delta_uqt_yhi", 0.029), + ("delta_uqt_slope", 0.009), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -112,7 +120,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARFITS_TNG_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_galacticus_in_plus_ex_situ.py b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_galacticus_in_plus_ex_situ.py index 5efd474..f6eda0d 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_galacticus_in_plus_ex_situ.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_galacticus_in_plus_ex_situ.py @@ -1,105 +1,113 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 11.990), - ("mean_ulgm_mseq_ytp", 11.146), - ("mean_ulgm_mseq_lo", 0.415), - ("mean_ulgm_mseq_hi", -0.261), - ("mean_ulgy_mseq_int", -8.857), - ("mean_ulgy_mseq_slp", 1.175), - ("mean_ul_mseq_int", -2.622), - ("mean_ul_mseq_slp", 0.819), - ("mean_uh_mseq_int", -0.577), - ("mean_uh_mseq_slp", 0.606), - ("mean_ulgm_qseq_xtp", 13.247), - ("mean_ulgm_qseq_ytp", 11.923), - ("mean_ulgm_qseq_lo", 0.290), - ("mean_ulgm_qseq_hi", 0.500), - ("mean_ulgy_qseq_int", -9.306), - ("mean_ulgy_qseq_slp", 0.592), + ("mean_ulgm_mseq_xtp", 11.986), + ("mean_ulgm_mseq_ytp", 11.189), + ("mean_ulgm_mseq_lo", 0.370), + ("mean_ulgm_mseq_hi", 0.147), + ("mean_ulgy_mseq_xtp", 12.677), + ("mean_ulgy_mseq_ytp", -9.236), + ("mean_ulgy_mseq_lo", 0.934), + ("mean_ulgy_mseq_hi", -2.625), + ("mean_ul_mseq_int", -2.997), + ("mean_ul_mseq_slp", 0.001), + ("mean_uh_mseq_int", -0.596), + ("mean_uh_mseq_slp", 0.708), + ("mean_ulgm_qseq_xtp", 13.105), + ("mean_ulgm_qseq_ytp", 11.937), + ("mean_ulgm_qseq_lo", 0.504), + ("mean_ulgm_qseq_hi", 0.616), + ("mean_ulgy_qseq_xtp", 11.979), + ("mean_ulgy_qseq_ytp", -9.432), + ("mean_ulgy_qseq_lo", 0.995), + ("mean_ulgy_qseq_hi", 0.310), ("mean_ul_qseq_int", -2.997), - ("mean_ul_qseq_slp", 3.163), - ("mean_uh_qseq_int", -1.156), - ("mean_uh_qseq_slp", -0.498), - ("mean_uqt_int", 1.109), - ("mean_uqt_slp", 0.024), - ("mean_uqs_int", 1.581), - ("mean_uqs_slp", 0.434), - ("mean_udrop_int", -2.222), - ("mean_udrop_slp", 0.983), - ("mean_urej_int", -1.646), - ("mean_urej_slp", 2.075), + ("mean_ul_qseq_slp", -1.731), + ("mean_uh_qseq_int", -1.134), + ("mean_uh_qseq_slp", -0.500), + ("mean_uqt_xtp", 12.400), + ("mean_uqt_ytp", 1.104), + ("mean_uqt_lo", -0.053), + ("mean_uqt_hi", -0.209), + ("mean_uqs_int", 1.676), + ("mean_uqs_slp", 0.509), + ("mean_udrop_int", -2.189), + ("mean_udrop_slp", 1.064), + ("mean_urej_int", -3.147), + ("mean_urej_slp", 0.202), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ ("std_ulgm_mseq_int", 0.011), - ("std_ulgm_mseq_slp", 0.999), - ("std_ulgy_mseq_int", 0.053), - ("std_ulgy_mseq_slp", 0.999), - ("std_ul_mseq_int", 0.054), - ("std_ul_mseq_slp", 0.058), - ("std_uh_mseq_int", 0.119), - ("std_uh_mseq_slp", 0.999), - ("std_ulgm_qseq_int", 0.011), - ("std_ulgm_qseq_slp", -0.341), - ("std_ulgy_qseq_int", 0.011), - ("std_ulgy_qseq_slp", 0.198), - ("std_ul_qseq_int", 0.825), + ("std_ulgm_mseq_slp", -0.081), + ("std_ulgy_mseq_int", 0.011), + ("std_ulgy_mseq_slp", 0.234), + ("std_ul_mseq_int", 0.013), + ("std_ul_mseq_slp", 0.006), + ("std_uh_mseq_int", 0.012), + ("std_uh_mseq_slp", 0.005), + ("std_ulgm_qseq_int", 0.037), + ("std_ulgm_qseq_slp", 0.030), + ("std_ulgy_qseq_int", 0.025), + ("std_ulgy_qseq_slp", 0.146), + ("std_ul_qseq_int", 0.011), ("std_ul_qseq_slp", -0.999), - ("std_uh_qseq_int", 0.133), - ("std_uh_qseq_slp", 0.082), + ("std_uh_qseq_int", 0.301), + ("std_uh_qseq_slp", -0.083), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.122), - ("std_uqt_slp", 0.048), + ("std_uqt_int", 0.114), + ("std_uqt_slp", 0.057), ("std_uqs_int", 0.999), - ("std_uqs_slp", 0.636), - ("std_udrop_int", 0.435), - ("std_udrop_slp", 0.285), - ("std_urej_int", 0.011), - ("std_urej_slp", 0.739), + ("std_uqs_slp", 0.930), + ("std_udrop_int", 0.512), + ("std_udrop_slp", 0.280), + ("std_urej_int", 0.025), + ("std_urej_slp", 0.008), ] ) SFH_PDF_FRAC_QUENCH_PDICT = OrderedDict( [ - ("frac_quench_cen_x0_tpeak", 6.476), - ("frac_quench_cen_k_tpeak", 2.282), - ("frac_quench_cen_x0_ylotpeak", 11.100), - ("frac_quench_cen_x0_yhitpeak", 12.619), + ("frac_quench_cen_x0_tpeak", 6.475), + ("frac_quench_cen_k_tpeak", 2.287), + ("frac_quench_cen_x0_ylotpeak", 11.742), + ("frac_quench_cen_x0_yhitpeak", 12.605), ("frac_quench_cen_ylo_ylotpeak", 0.990), - ("frac_quench_cen_ylo_yhitpeak", 0.028), + ("frac_quench_cen_ylo_yhitpeak", 0.007), ("frac_quench_cen_k", 4.995), - ("frac_quench_cen_yhi", 0.999), - ("frac_quench_sat_x0_tpeak", 5.944), - ("frac_quench_sat_k_tpeak", 9.994), - ("frac_quench_sat_x0_ylotpeak", 11.906), - ("frac_quench_sat_x0_yhitpeak", 12.378), + ("frac_quench_cen_yhi", 0.997), + ("frac_quench_sat_x0_tpeak", 7.617), + ("frac_quench_sat_k_tpeak", 9.998), + ("frac_quench_sat_x0_ylotpeak", 13.994), + ("frac_quench_sat_x0_yhitpeak", 12.583), ("frac_quench_sat_ylo_ylotpeak", 0.999), - ("frac_quench_sat_ylo_yhitpeak", 0.677), + ("frac_quench_sat_ylo_yhitpeak", 0.665), ("frac_quench_sat_k", 4.995), - ("frac_quench_sat_yhi", 0.924), + ("frac_quench_sat_yhi", 0.999), ] ) DELTA_UQT_PDICT = OrderedDict( [ - ("delta_uqt_x0", 2.373), - ("delta_uqt_k", 0.450), - ("delta_uqt_ylo", -0.622), - ("delta_uqt_yhi", 0.075), - ("delta_uqt_slope", -0.017), + ("delta_uqt_x0", 2.423), + ("delta_uqt_k", 0.285), + ("delta_uqt_ylo", -0.758), + ("delta_uqt_yhi", 0.227), + ("delta_uqt_slope", 0.049), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -114,7 +122,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARPOP_FITS_GALACTICUS_INPLUSEX_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_galacticus_in_situ.py b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_galacticus_in_situ.py index 1f4abff..0c9d504 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_galacticus_in_situ.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_galacticus_in_situ.py @@ -1,93 +1,101 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.576), - ("mean_ulgm_mseq_ytp", 11.226), - ("mean_ulgm_mseq_lo", 0.252), - ("mean_ulgm_mseq_hi", -2.900), - ("mean_ulgy_mseq_int", -9.254), - ("mean_ulgy_mseq_slp", 1.003), - ("mean_ul_mseq_int", -2.997), - ("mean_ul_mseq_slp", 12.403), - ("mean_uh_mseq_int", -0.598), - ("mean_uh_mseq_slp", 0.336), - ("mean_ulgm_qseq_xtp", 12.167), - ("mean_ulgm_qseq_ytp", 11.852), - ("mean_ulgm_qseq_lo", 0.840), - ("mean_ulgm_qseq_hi", 0.091), - ("mean_ulgy_qseq_int", -9.671), - ("mean_ulgy_qseq_slp", 0.312), - ("mean_ul_qseq_int", -2.997), - ("mean_ul_qseq_slp", 4.249), - ("mean_uh_qseq_int", -1.484), - ("mean_uh_qseq_slp", -0.251), - ("mean_uqt_int", 0.927), - ("mean_uqt_slp", -0.085), - ("mean_uqs_int", 0.161), - ("mean_uqs_slp", -0.798), - ("mean_udrop_int", -1.809), - ("mean_udrop_slp", 1.253), - ("mean_urej_int", -4.271), - ("mean_urej_slp", -0.664), + ("mean_ulgm_mseq_xtp", 12.077), + ("mean_ulgm_mseq_ytp", 11.198), + ("mean_ulgm_mseq_lo", 0.324), + ("mean_ulgm_mseq_hi", -0.612), + ("mean_ulgy_mseq_xtp", 12.708), + ("mean_ulgy_mseq_ytp", -9.579), + ("mean_ulgy_mseq_lo", 0.753), + ("mean_ulgy_mseq_hi", -3.358), + ("mean_ul_mseq_int", -2.739), + ("mean_ul_mseq_slp", 8.577), + ("mean_uh_mseq_int", 0.164), + ("mean_uh_mseq_slp", 1.255), + ("mean_ulgm_qseq_xtp", 13.525), + ("mean_ulgm_qseq_ytp", 12.100), + ("mean_ulgm_qseq_lo", 0.420), + ("mean_ulgm_qseq_hi", 0.423), + ("mean_ulgy_qseq_xtp", 12.166), + ("mean_ulgy_qseq_ytp", -9.571), + ("mean_ulgy_qseq_lo", 0.702), + ("mean_ulgy_qseq_hi", 0.005), + ("mean_ul_qseq_int", -2.400), + ("mean_ul_qseq_slp", 0.968), + ("mean_uh_qseq_int", -0.915), + ("mean_uh_qseq_slp", -0.459), + ("mean_uqt_xtp", 12.555), + ("mean_uqt_ytp", 1.035), + ("mean_uqt_lo", -0.031), + ("mean_uqt_hi", -0.589), + ("mean_uqs_int", 1.451), + ("mean_uqs_slp", 0.307), + ("mean_udrop_int", -2.247), + ("mean_udrop_slp", 1.486), + ("mean_urej_int", -1.420), + ("mean_urej_slp", 1.622), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ ("std_ulgm_mseq_int", 0.011), - ("std_ulgm_mseq_slp", 0.001), - ("std_ulgy_mseq_int", 0.046), - ("std_ulgy_mseq_slp", 0.132), - ("std_ul_mseq_int", 0.011), - ("std_ul_mseq_slp", 0.005), + ("std_ulgm_mseq_slp", 0.011), + ("std_ulgy_mseq_int", 0.011), + ("std_ulgy_mseq_slp", 0.009), + ("std_ul_mseq_int", 1.725), + ("std_ul_mseq_slp", -0.999), ("std_uh_mseq_int", 0.011), - ("std_uh_mseq_slp", -0.999), - ("std_ulgm_qseq_int", 0.142), - ("std_ulgm_qseq_slp", -0.021), + ("std_uh_mseq_slp", -0.981), + ("std_ulgm_qseq_int", 0.095), + ("std_ulgm_qseq_slp", 0.004), ("std_ulgy_qseq_int", 0.011), - ("std_ulgy_qseq_slp", -0.189), - ("std_ul_qseq_int", 1.080), - ("std_ul_qseq_slp", -0.999), - ("std_uh_qseq_int", 0.011), - ("std_uh_qseq_slp", 0.086), + ("std_ulgy_qseq_slp", -0.122), + ("std_ul_qseq_int", 2.224), + ("std_ul_qseq_slp", -0.412), + ("std_uh_qseq_int", 0.149), + ("std_uh_qseq_slp", -0.996), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.024), - ("std_uqt_slp", 0.301), - ("std_uqs_int", 0.711), - ("std_uqs_slp", 0.458), - ("std_udrop_int", 0.716), - ("std_udrop_slp", 0.538), - ("std_urej_int", 0.011), - ("std_urej_slp", 0.002), + ("std_uqt_int", 0.077), + ("std_uqt_slp", 0.045), + ("std_uqs_int", 0.857), + ("std_uqs_slp", 0.999), + ("std_udrop_int", 0.510), + ("std_udrop_slp", 0.334), + ("std_urej_int", 0.020), + ("std_urej_slp", 0.010), ] ) SFH_PDF_FRAC_QUENCH_PDICT = OrderedDict( [ - ("frac_quench_cen_x0_tpeak", 6.501), - ("frac_quench_cen_k_tpeak", 2.281), - ("frac_quench_cen_x0_ylotpeak", 13.193), - ("frac_quench_cen_x0_yhitpeak", 12.520), - ("frac_quench_cen_ylo_ylotpeak", 0.588), + ("frac_quench_cen_x0_tpeak", 6.475), + ("frac_quench_cen_k_tpeak", 2.293), + ("frac_quench_cen_x0_ylotpeak", 11.675), + ("frac_quench_cen_x0_yhitpeak", 12.484), + ("frac_quench_cen_ylo_ylotpeak", 0.990), ("frac_quench_cen_ylo_yhitpeak", 0.001), ("frac_quench_cen_k", 4.995), - ("frac_quench_cen_yhi", 0.902), - ("frac_quench_sat_x0_tpeak", 7.829), - ("frac_quench_sat_k_tpeak", 9.990), - ("frac_quench_sat_x0_ylotpeak", 11.011), - ("frac_quench_sat_x0_yhitpeak", 12.406), + ("frac_quench_cen_yhi", 0.995), + ("frac_quench_sat_x0_tpeak", 8.624), + ("frac_quench_sat_k_tpeak", 2.214), + ("frac_quench_sat_x0_ylotpeak", 12.859), + ("frac_quench_sat_x0_yhitpeak", 12.191), ("frac_quench_sat_ylo_ylotpeak", 0.999), - ("frac_quench_sat_ylo_yhitpeak", 0.510), + ("frac_quench_sat_ylo_yhitpeak", 0.563), ("frac_quench_sat_k", 4.995), ("frac_quench_sat_yhi", 0.999), ] @@ -95,11 +103,11 @@ DELTA_UQT_PDICT = OrderedDict( [ - ("delta_uqt_x0", 1.864), - ("delta_uqt_k", 0.290), - ("delta_uqt_ylo", -0.781), - ("delta_uqt_yhi", 0.295), - ("delta_uqt_slope", 0.011), + ("delta_uqt_x0", 1.273), + ("delta_uqt_k", 0.203), + ("delta_uqt_ylo", -0.983), + ("delta_uqt_yhi", 0.384), + ("delta_uqt_slope", 0.025), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -114,7 +122,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARPOP_FITS_GALACTICUS_IN_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_smdpl_dr1.py b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_smdpl_dr1.py index 8761427..f497e69 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_smdpl_dr1.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_smdpl_dr1.py @@ -1,105 +1,113 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.228), - ("mean_ulgm_mseq_ytp", 11.925), - ("mean_ulgm_mseq_lo", 0.733), - ("mean_ulgm_mseq_hi", -0.212), - ("mean_ulgy_mseq_int", -9.361), - ("mean_ulgy_mseq_slp", 1.696), + ("mean_ulgm_mseq_xtp", 12.842), + ("mean_ulgm_mseq_ytp", 12.447), + ("mean_ulgm_mseq_lo", 0.812), + ("mean_ulgm_mseq_hi", 0.285), + ("mean_ulgy_mseq_xtp", 11.674), + ("mean_ulgy_mseq_ytp", -10.608), + ("mean_ulgy_mseq_lo", 1.895), + ("mean_ulgy_mseq_hi", 0.781), ("mean_ul_mseq_int", -2.997), - ("mean_ul_mseq_slp", 0.021), - ("mean_uh_mseq_int", -3.647), - ("mean_uh_mseq_slp", 1.908), - ("mean_ulgm_qseq_xtp", 11.405), - ("mean_ulgm_qseq_ytp", 11.834), - ("mean_ulgm_qseq_lo", 2.487), - ("mean_ulgm_qseq_hi", 0.225), - ("mean_ulgy_qseq_int", -9.925), - ("mean_ulgy_qseq_slp", 0.626), - ("mean_ul_qseq_int", -2.999), - ("mean_ul_qseq_slp", 0.002), - ("mean_uh_qseq_int", -1.603), - ("mean_uh_qseq_slp", 0.194), - ("mean_uqt_int", 1.245), - ("mean_uqt_slp", -0.030), - ("mean_uqs_int", 0.688), - ("mean_uqs_slp", 1.099), - ("mean_udrop_int", -2.064), - ("mean_udrop_slp", -0.114), - ("mean_urej_int", -9.313), - ("mean_urej_slp", -11.160), + ("mean_ul_mseq_slp", 0.001), + ("mean_uh_mseq_int", -4.995), + ("mean_uh_mseq_slp", -2.820), + ("mean_ulgm_qseq_xtp", 11.011), + ("mean_ulgm_qseq_ytp", 12.142), + ("mean_ulgm_qseq_lo", 4.995), + ("mean_ulgm_qseq_hi", 0.010), + ("mean_ulgy_qseq_xtp", 12.836), + ("mean_ulgy_qseq_ytp", -9.690), + ("mean_ulgy_qseq_lo", 0.602), + ("mean_ulgy_qseq_hi", 0.842), + ("mean_ul_qseq_int", -2.997), + ("mean_ul_qseq_slp", 0.001), + ("mean_uh_qseq_int", -2.241), + ("mean_uh_qseq_slp", 0.606), + ("mean_uqt_xtp", 13.533), + ("mean_uqt_ytp", 1.127), + ("mean_uqt_lo", -0.011), + ("mean_uqt_hi", -0.238), + ("mean_uqs_int", 1.028), + ("mean_uqs_slp", 2.132), + ("mean_udrop_int", -2.177), + ("mean_udrop_slp", 0.308), + ("mean_urej_int", -4.516), + ("mean_urej_slp", -2.300), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ - ("std_ulgm_mseq_int", 0.047), - ("std_ulgm_mseq_slp", -0.062), - ("std_ulgy_mseq_int", 0.213), - ("std_ulgy_mseq_slp", 0.154), - ("std_ul_mseq_int", 0.025), - ("std_ul_mseq_slp", 0.023), - ("std_uh_mseq_int", 0.498), - ("std_uh_mseq_slp", -0.443), - ("std_ulgm_qseq_int", 0.300), - ("std_ulgm_qseq_slp", -0.252), - ("std_ulgy_qseq_int", 0.016), - ("std_ulgy_qseq_slp", -0.186), - ("std_ul_qseq_int", 0.018), - ("std_ul_qseq_slp", -0.003), - ("std_uh_qseq_int", 0.744), - ("std_uh_qseq_slp", -0.314), + ("std_ulgm_mseq_int", 0.074), + ("std_ulgm_mseq_slp", -0.106), + ("std_ulgy_mseq_int", 0.011), + ("std_ulgy_mseq_slp", 0.001), + ("std_ul_mseq_int", 0.014), + ("std_ul_mseq_slp", 0.009), + ("std_uh_mseq_int", 0.011), + ("std_uh_mseq_slp", -0.999), + ("std_ulgm_qseq_int", 0.243), + ("std_ulgm_qseq_slp", -0.162), + ("std_ulgy_qseq_int", 0.091), + ("std_ulgy_qseq_slp", -0.229), + ("std_ul_qseq_int", 0.013), + ("std_ul_qseq_slp", 0.007), + ("std_uh_qseq_int", 0.702), + ("std_uh_qseq_slp", -0.274), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.033), - ("std_uqt_slp", 0.063), - ("std_uqs_int", 0.013), - ("std_uqs_slp", -0.154), - ("std_udrop_int", 0.652), - ("std_udrop_slp", -0.998), - ("std_urej_int", 0.203), - ("std_urej_slp", -0.633), + ("std_uqt_int", 0.029), + ("std_uqt_slp", 0.041), + ("std_uqs_int", 0.011), + ("std_uqs_slp", 0.001), + ("std_udrop_int", 0.599), + ("std_udrop_slp", -0.868), + ("std_urej_int", 0.974), + ("std_urej_slp", -0.050), ] ) SFH_PDF_FRAC_QUENCH_PDICT = OrderedDict( [ - ("frac_quench_cen_x0_tpeak", 10.626), - ("frac_quench_cen_k_tpeak", 9.976), - ("frac_quench_cen_x0_ylotpeak", 11.006), - ("frac_quench_cen_x0_yhitpeak", 12.101), + ("frac_quench_cen_x0_tpeak", 11.207), + ("frac_quench_cen_k_tpeak", 9.998), + ("frac_quench_cen_x0_ylotpeak", 11.001), + ("frac_quench_cen_x0_yhitpeak", 12.606), ("frac_quench_cen_ylo_ylotpeak", 0.999), ("frac_quench_cen_ylo_yhitpeak", 0.001), - ("frac_quench_cen_k", 1.896), + ("frac_quench_cen_k", 1.954), ("frac_quench_cen_yhi", 0.999), - ("frac_quench_sat_x0_tpeak", 5.829), - ("frac_quench_sat_k_tpeak", 9.814), - ("frac_quench_sat_x0_ylotpeak", 11.418), - ("frac_quench_sat_x0_yhitpeak", 11.258), - ("frac_quench_sat_ylo_ylotpeak", 0.998), + ("frac_quench_sat_x0_tpeak", 9.372), + ("frac_quench_sat_k_tpeak", 9.995), + ("frac_quench_sat_x0_ylotpeak", 11.810), + ("frac_quench_sat_x0_yhitpeak", 11.547), + ("frac_quench_sat_ylo_ylotpeak", 0.524), ("frac_quench_sat_ylo_yhitpeak", 0.001), - ("frac_quench_sat_k", 4.997), - ("frac_quench_sat_yhi", 0.922), + ("frac_quench_sat_k", 4.995), + ("frac_quench_sat_yhi", 0.797), ] ) DELTA_UQT_PDICT = OrderedDict( [ - ("delta_uqt_x0", 10.958), - ("delta_uqt_k", 0.092), - ("delta_uqt_ylo", -0.594), - ("delta_uqt_yhi", 0.285), - ("delta_uqt_slope", -0.072), + ("delta_uqt_x0", 2.173), + ("delta_uqt_k", 0.110), + ("delta_uqt_ylo", -0.713), + ("delta_uqt_yhi", 0.217), + ("delta_uqt_slope", -0.023), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -114,7 +122,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARPOP_FITS_SMDPL_DR1_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_smdpl_dr1_nomerging.py b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_smdpl_dr1_nomerging.py index e5aefe1..bfd532a 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_smdpl_dr1_nomerging.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_smdpl_dr1_nomerging.py @@ -1,105 +1,113 @@ -"""""" - from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.126), - ("mean_ulgm_mseq_ytp", 11.925), - ("mean_ulgm_mseq_lo", 0.809), - ("mean_ulgm_mseq_hi", -0.045), - ("mean_ulgy_mseq_int", -9.342), - ("mean_ulgy_mseq_slp", 1.631), - ("mean_ul_mseq_int", 3.450), - ("mean_ul_mseq_slp", 12.619), + ("mean_ulgm_mseq_xtp", 12.900), + ("mean_ulgm_mseq_ytp", 12.526), + ("mean_ulgm_mseq_lo", 0.745), + ("mean_ulgm_mseq_hi", -0.061), + ("mean_ulgy_mseq_xtp", 11.885), + ("mean_ulgy_mseq_ytp", -10.536), + ("mean_ulgy_mseq_lo", 1.644), + ("mean_ulgy_mseq_hi", 0.461), + ("mean_ul_mseq_int", -2.806), + ("mean_ul_mseq_slp", -0.321), ("mean_uh_mseq_int", -4.995), - ("mean_uh_mseq_slp", 0.424), - ("mean_ulgm_qseq_xtp", 12.547), - ("mean_ulgm_qseq_ytp", 12.283), - ("mean_ulgm_qseq_lo", 0.612), - ("mean_ulgm_qseq_hi", -0.188), - ("mean_ulgy_qseq_int", -9.907), - ("mean_ulgy_qseq_slp", 0.596), - ("mean_ul_qseq_int", -2.790), - ("mean_ul_qseq_slp", 1.725), - ("mean_uh_qseq_int", -1.461), - ("mean_uh_qseq_slp", -0.218), - ("mean_uqt_int", 0.870), - ("mean_uqt_slp", -0.319), - ("mean_uqs_int", 0.602), - ("mean_uqs_slp", -0.250), + ("mean_uh_mseq_slp", 1.479), + ("mean_ulgm_qseq_xtp", 13.349), + ("mean_ulgm_qseq_ytp", 12.240), + ("mean_ulgm_qseq_lo", 0.345), + ("mean_ulgm_qseq_hi", -0.122), + ("mean_ulgy_qseq_xtp", 11.938), + ("mean_ulgy_qseq_ytp", -9.896), + ("mean_ulgy_qseq_lo", 0.922), + ("mean_ulgy_qseq_hi", 0.450), + ("mean_ul_qseq_int", -0.597), + ("mean_ul_qseq_slp", 0.255), + ("mean_uh_qseq_int", -1.440), + ("mean_uh_qseq_slp", -0.799), + ("mean_uqt_xtp", 11.305), + ("mean_uqt_ytp", 1.181), + ("mean_uqt_lo", -0.001), + ("mean_uqt_hi", -0.445), + ("mean_uqs_int", 0.665), + ("mean_uqs_slp", 0.073), ("mean_udrop_int", -2.997), - ("mean_udrop_slp", 0.431), - ("mean_urej_int", -3.370), - ("mean_urej_slp", 1.119), + ("mean_udrop_slp", 0.960), + ("mean_urej_int", -4.668), + ("mean_urej_slp", 2.971), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ - ("std_ulgm_mseq_int", 0.011), - ("std_ulgm_mseq_slp", -0.127), - ("std_ulgy_mseq_int", 0.078), - ("std_ulgy_mseq_slp", 0.050), - ("std_ul_mseq_int", 1.309), - ("std_ul_mseq_slp", -0.908), - ("std_uh_mseq_int", 1.005), - ("std_uh_mseq_slp", 0.984), - ("std_ulgm_qseq_int", 0.362), - ("std_ulgm_qseq_slp", -0.065), - ("std_ulgy_qseq_int", 0.055), - ("std_ulgy_qseq_slp", -0.162), - ("std_ul_qseq_int", 1.129), - ("std_ul_qseq_slp", -0.999), - ("std_uh_qseq_int", 0.050), - ("std_uh_qseq_slp", -0.033), + ("std_ulgm_mseq_int", 0.063), + ("std_ulgm_mseq_slp", -0.058), + ("std_ulgy_mseq_int", 0.057), + ("std_ulgy_mseq_slp", 0.246), + ("std_ul_mseq_int", 0.871), + ("std_ul_mseq_slp", -0.999), + ("std_uh_mseq_int", 0.011), + ("std_uh_mseq_slp", 0.014), + ("std_ulgm_qseq_int", 0.440), + ("std_ulgm_qseq_slp", -0.309), + ("std_ulgy_qseq_int", 0.045), + ("std_ulgy_qseq_slp", 0.119), + ("std_ul_qseq_int", 0.762), + ("std_ul_qseq_slp", 0.636), + ("std_uh_qseq_int", 0.011), + ("std_uh_qseq_slp", 0.001), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.071), - ("std_uqt_slp", 0.009), - ("std_uqs_int", 0.032), - ("std_uqs_slp", 0.046), - ("std_udrop_int", 0.252), - ("std_udrop_slp", -0.405), - ("std_urej_int", 1.104), - ("std_urej_slp", -0.999), + ("std_uqt_int", 0.054), + ("std_uqt_slp", 0.021), + ("std_uqs_int", 0.077), + ("std_uqs_slp", 0.074), + ("std_udrop_int", 0.288), + ("std_udrop_slp", -0.999), + ("std_urej_int", 0.965), + ("std_urej_slp", -0.998), ] ) SFH_PDF_FRAC_QUENCH_PDICT = OrderedDict( [ - ("frac_quench_cen_x0_tpeak", 10.225), + ("frac_quench_cen_x0_tpeak", 9.731), ("frac_quench_cen_k_tpeak", 9.989), - ("frac_quench_cen_x0_ylotpeak", 11.011), - ("frac_quench_cen_x0_yhitpeak", 12.579), - ("frac_quench_cen_ylo_ylotpeak", 0.222), - ("frac_quench_cen_ylo_yhitpeak", 0.223), - ("frac_quench_cen_k", 4.995), - ("frac_quench_cen_yhi", 0.979), - ("frac_quench_sat_x0_tpeak", 3.998), - ("frac_quench_sat_k_tpeak", 4.400), - ("frac_quench_sat_x0_ylotpeak", 11.870), - ("frac_quench_sat_x0_yhitpeak", 11.456), - ("frac_quench_sat_ylo_ylotpeak", 0.999), - ("frac_quench_sat_ylo_yhitpeak", 0.203), + ("frac_quench_cen_x0_ylotpeak", 13.998), + ("frac_quench_cen_x0_yhitpeak", 13.654), + ("frac_quench_cen_ylo_ylotpeak", 0.999), + ("frac_quench_cen_ylo_yhitpeak", 0.302), + ("frac_quench_cen_k", 2.169), + ("frac_quench_cen_yhi", 0.999), + ("frac_quench_sat_x0_tpeak", 9.464), + ("frac_quench_sat_k_tpeak", 0.587), + ("frac_quench_sat_x0_ylotpeak", 11.097), + ("frac_quench_sat_x0_yhitpeak", 13.986), + ("frac_quench_sat_ylo_ylotpeak", 0.501), + ("frac_quench_sat_ylo_yhitpeak", 0.001), ("frac_quench_sat_k", 4.995), - ("frac_quench_sat_yhi", 0.887), + ("frac_quench_sat_yhi", 0.999), ] ) DELTA_UQT_PDICT = OrderedDict( [ ("delta_uqt_x0", 1.001), - ("delta_uqt_k", 0.673), - ("delta_uqt_ylo", -0.857), - ("delta_uqt_yhi", 0.131), - ("delta_uqt_slope", -0.041), + ("delta_uqt_k", 0.578), + ("delta_uqt_ylo", -0.569), + ("delta_uqt_yhi", 0.309), + ("delta_uqt_slope", 0.098), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -114,7 +122,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARPOP_FITS_SMDPL_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_tng.py b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_tng.py index 022ff64..468dc41 100644 --- a/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_tng.py +++ b/diffstar/diffstarpop/kernels/params/params_diffstarpopfits_mgash_tng.py @@ -1,103 +1,113 @@ from collections import OrderedDict, namedtuple -from ..defaults_mgash import DiffstarPopParams, get_unbounded_diffstarpop_params +from ..defaults_mgash import ( + DiffstarPopParams, + get_unbounded_diffstarpop_params, +) + from ..satquenchpop_model import DEFAULT_SATQUENCHPOP_PARAMS SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.142), - ("mean_ulgm_mseq_ytp", 11.376), - ("mean_ulgm_mseq_lo", 0.489), - ("mean_ulgm_mseq_hi", 0.279), - ("mean_ulgy_mseq_int", -9.181), - ("mean_ulgy_mseq_slp", 1.319), - ("mean_ul_mseq_int", 0.442), - ("mean_ul_mseq_slp", 1.391), - ("mean_uh_mseq_int", -2.218), - ("mean_uh_mseq_slp", -1.589), - ("mean_ulgm_qseq_xtp", 13.299), - ("mean_ulgm_qseq_ytp", 11.894), - ("mean_ulgm_qseq_lo", 0.036), - ("mean_ulgm_qseq_hi", 0.361), - ("mean_ulgy_qseq_int", -9.558), - ("mean_ulgy_qseq_slp", 0.568), - ("mean_ul_qseq_int", -2.997), - ("mean_ul_qseq_slp", -1.791), - ("mean_uh_qseq_int", -1.426), - ("mean_uh_qseq_slp", -0.129), - ("mean_uqt_int", 0.983), - ("mean_uqt_slp", -0.358), - ("mean_uqs_int", 1.406), - ("mean_uqs_slp", -0.414), + ("mean_ulgm_mseq_xtp", 11.934), + ("mean_ulgm_mseq_ytp", 11.392), + ("mean_ulgm_mseq_lo", 0.654), + ("mean_ulgm_mseq_hi", 0.409), + ("mean_ulgy_mseq_xtp", 12.716), + ("mean_ulgy_mseq_ytp", -9.372), + ("mean_ulgy_mseq_lo", 0.691), + ("mean_ulgy_mseq_hi", 0.999), + ("mean_ul_mseq_int", 0.350), + ("mean_ul_mseq_slp", 2.462), + ("mean_uh_mseq_int", -2.144), + ("mean_uh_mseq_slp", -0.700), + ("mean_ulgm_qseq_xtp", 13.590), + ("mean_ulgm_qseq_ytp", 11.911), + ("mean_ulgm_qseq_lo", 0.218), + ("mean_ulgm_qseq_hi", 0.294), + ("mean_ulgy_qseq_xtp", 12.038), + ("mean_ulgy_qseq_ytp", -9.768), + ("mean_ulgy_qseq_lo", 1.350), + ("mean_ulgy_qseq_hi", 0.597), + ("mean_ul_qseq_int", -1.536), + ("mean_ul_qseq_slp", -0.132), + ("mean_uh_qseq_int", -1.129), + ("mean_uh_qseq_slp", -0.216), + ("mean_uqt_xtp", 13.551), + ("mean_uqt_ytp", 0.698), + ("mean_uqt_lo", -0.332), + ("mean_uqt_hi", -0.018), + ("mean_uqs_int", 1.324), + ("mean_uqs_slp", 0.301), ("mean_udrop_int", -2.997), - ("mean_udrop_slp", 1.363), - ("mean_urej_int", -9.691), - ("mean_urej_slp", -0.406), + ("mean_udrop_slp", 1.093), + ("mean_urej_int", -9.199), + ("mean_urej_slp", -0.854), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ ("std_ulgm_mseq_int", 0.011), - ("std_ulgm_mseq_slp", 0.037), + ("std_ulgm_mseq_slp", 0.001), ("std_ulgy_mseq_int", 0.011), - ("std_ulgy_mseq_slp", 0.001), - ("std_ul_mseq_int", 0.123), - ("std_ul_mseq_slp", 0.346), - ("std_uh_mseq_int", 0.054), + ("std_ulgy_mseq_slp", -0.184), + ("std_ul_mseq_int", 0.085), + ("std_ul_mseq_slp", 0.994), + ("std_uh_mseq_int", 0.103), ("std_uh_mseq_slp", -0.999), - ("std_ulgm_qseq_int", 0.015), - ("std_ulgm_qseq_slp", -0.435), - ("std_ulgy_qseq_int", 0.036), - ("std_ulgy_qseq_slp", -0.103), - ("std_ul_qseq_int", 0.161), - ("std_ul_qseq_slp", -0.466), - ("std_uh_qseq_int", 0.577), - ("std_uh_qseq_slp", -0.268), + ("std_ulgm_qseq_int", 0.011), + ("std_ulgm_qseq_slp", -0.175), + ("std_ulgy_qseq_int", 0.011), + ("std_ulgy_qseq_slp", -0.122), + ("std_ul_qseq_int", 0.014), + ("std_ul_qseq_slp", -0.002), + ("std_uh_qseq_int", 0.575), + ("std_uh_qseq_slp", -0.469), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.066), - ("std_uqt_slp", -0.002), - ("std_uqs_int", 0.353), - ("std_uqs_slp", -0.253), + ("std_uqt_int", 0.073), + ("std_uqt_slp", -0.009), + ("std_uqs_int", 0.042), + ("std_uqs_slp", -0.035), ("std_udrop_int", 0.011), - ("std_udrop_slp", 0.662), - ("std_urej_int", 0.100), - ("std_urej_slp", -0.074), + ("std_udrop_slp", 0.753), + ("std_urej_int", 0.127), + ("std_urej_slp", -0.063), ] ) SFH_PDF_FRAC_QUENCH_PDICT = OrderedDict( [ - ("frac_quench_cen_x0_tpeak", 10.224), - ("frac_quench_cen_k_tpeak", 2.036), - ("frac_quench_cen_x0_ylotpeak", 13.985), - ("frac_quench_cen_x0_yhitpeak", 12.398), - ("frac_quench_cen_ylo_ylotpeak", 0.999), - ("frac_quench_cen_ylo_yhitpeak", 0.234), - ("frac_quench_cen_k", 4.291), + ("frac_quench_cen_x0_tpeak", 13.615), + ("frac_quench_cen_k_tpeak", 9.240), + ("frac_quench_cen_x0_ylotpeak", 13.966), + ("frac_quench_cen_x0_yhitpeak", 11.541), + ("frac_quench_cen_ylo_ylotpeak", 0.041), + ("frac_quench_cen_ylo_yhitpeak", 0.737), + ("frac_quench_cen_k", 4.995), ("frac_quench_cen_yhi", 0.999), - ("frac_quench_sat_x0_tpeak", 10.161), - ("frac_quench_sat_k_tpeak", 9.993), - ("frac_quench_sat_x0_ylotpeak", 13.082), - ("frac_quench_sat_x0_yhitpeak", 12.443), + ("frac_quench_sat_x0_tpeak", 11.905), + ("frac_quench_sat_k_tpeak", 4.158), + ("frac_quench_sat_x0_ylotpeak", 12.469), + ("frac_quench_sat_x0_yhitpeak", 12.456), ("frac_quench_sat_ylo_ylotpeak", 0.999), - ("frac_quench_sat_ylo_yhitpeak", 0.002), + ("frac_quench_sat_ylo_yhitpeak", 0.001), ("frac_quench_sat_k", 4.995), - ("frac_quench_sat_yhi", 0.843), + ("frac_quench_sat_yhi", 0.999), ] ) DELTA_UQT_PDICT = OrderedDict( [ - ("delta_uqt_x0", 3.678), - ("delta_uqt_k", 0.554), - ("delta_uqt_ylo", -0.605), - ("delta_uqt_yhi", 0.050), - ("delta_uqt_slope", 0.020), + ("delta_uqt_x0", 2.532), + ("delta_uqt_k", 0.454), + ("delta_uqt_ylo", -0.977), + ("delta_uqt_yhi", -0.002), + ("delta_uqt_slope", -0.030), ] ) SFH_PDF_QUENCH_PDICT = SFH_PDF_FRAC_QUENCH_PDICT.copy() @@ -112,7 +122,6 @@ _UPNAMES = ["u_" + key for key in QseqParams._fields] QseqUParams = namedtuple("QseqUParams", _UPNAMES) - DIFFSTARPOP_FITS_TNG_DIFFSTARPOP_PARAMS = DiffstarPopParams( *SFH_PDF_QUENCH_PARAMS, *DEFAULT_SATQUENCHPOP_PARAMS ) diff --git a/diffstar/diffstarpop/kernels/sfh_pdf_mgash.py b/diffstar/diffstarpop/kernels/sfh_pdf_mgash.py index 73adb2b..fdfe8a7 100644 --- a/diffstar/diffstarpop/kernels/sfh_pdf_mgash.py +++ b/diffstar/diffstarpop/kernels/sfh_pdf_mgash.py @@ -14,6 +14,7 @@ smoothly_clipped_line, ) + TODAY = 13.8 LGT0 = jnp.log10(TODAY) @@ -24,34 +25,40 @@ SFH_PDF_QUENCH_MU_PDICT = OrderedDict( [ - ("mean_ulgm_mseq_xtp", 12.126), - ("mean_ulgm_mseq_ytp", 11.925), - ("mean_ulgm_mseq_lo", 0.809), - ("mean_ulgm_mseq_hi", -0.045), - ("mean_ulgy_mseq_int", -9.342), - ("mean_ulgy_mseq_slp", 1.631), - ("mean_ul_mseq_int", 3.450), - ("mean_ul_mseq_slp", 12.619), + ("mean_ulgm_mseq_xtp", 12.900), + ("mean_ulgm_mseq_ytp", 12.526), + ("mean_ulgm_mseq_lo", 0.745), + ("mean_ulgm_mseq_hi", -0.061), + ("mean_ulgy_mseq_xtp", 11.885), + ("mean_ulgy_mseq_ytp", -10.536), + ("mean_ulgy_mseq_lo", 1.644), + ("mean_ulgy_mseq_hi", 0.461), + ("mean_ul_mseq_int", -2.806), + ("mean_ul_mseq_slp", -0.321), ("mean_uh_mseq_int", -4.995), - ("mean_uh_mseq_slp", 0.424), - ("mean_ulgm_qseq_xtp", 12.547), - ("mean_ulgm_qseq_ytp", 12.283), - ("mean_ulgm_qseq_lo", 0.612), - ("mean_ulgm_qseq_hi", -0.188), - ("mean_ulgy_qseq_int", -9.907), - ("mean_ulgy_qseq_slp", 0.596), - ("mean_ul_qseq_int", -2.790), - ("mean_ul_qseq_slp", 1.725), - ("mean_uh_qseq_int", -1.461), - ("mean_uh_qseq_slp", -0.218), - ("mean_uqt_int", 0.870), - ("mean_uqt_slp", -0.319), - ("mean_uqs_int", 0.602), - ("mean_uqs_slp", -0.250), + ("mean_uh_mseq_slp", 1.479), + ("mean_ulgm_qseq_xtp", 13.349), + ("mean_ulgm_qseq_ytp", 12.240), + ("mean_ulgm_qseq_lo", 0.345), + ("mean_ulgm_qseq_hi", -0.122), + ("mean_ulgy_qseq_xtp", 11.938), + ("mean_ulgy_qseq_ytp", -9.896), + ("mean_ulgy_qseq_lo", 0.922), + ("mean_ulgy_qseq_hi", 0.450), + ("mean_ul_qseq_int", -0.597), + ("mean_ul_qseq_slp", 0.255), + ("mean_uh_qseq_int", -1.440), + ("mean_uh_qseq_slp", -0.799), + ("mean_uqt_xtp", 11.305), + ("mean_uqt_ytp", 1.181), + ("mean_uqt_lo", -0.001), + ("mean_uqt_hi", -0.445), + ("mean_uqs_int", 0.665), + ("mean_uqs_slp", 0.073), ("mean_udrop_int", -2.997), - ("mean_udrop_slp", 0.431), - ("mean_urej_int", -3.370), - ("mean_urej_slp", 1.119), + ("mean_udrop_slp", 0.960), + ("mean_urej_int", -4.668), + ("mean_urej_slp", 2.971), ] ) SFH_PDF_QUENCH_MU_BOUNDS_PDICT = OrderedDict( @@ -59,8 +66,10 @@ mean_ulgm_mseq_ytp=(11.0, 14.0), mean_ulgm_mseq_lo=(-1.0, 5.0), mean_ulgm_mseq_hi=(-5.0, 1.0), - mean_ulgy_mseq_int=(-13.0, -7.0), - mean_ulgy_mseq_slp=(-20.0, 20.0), + mean_ulgy_mseq_xtp=(11.0, 14.0), + mean_ulgy_mseq_ytp=(-13.0, -8.0), + mean_ulgy_mseq_lo=(-1.0, 5.0), + mean_ulgy_mseq_hi=(-5.0, 1.0), mean_ul_mseq_int=(-3.0, 5.0), mean_ul_mseq_slp=(-20.0, 20.0), mean_uh_mseq_int=(-5.0, 3.0), @@ -69,14 +78,18 @@ mean_ulgm_qseq_ytp=(11.0, 14.0), mean_ulgm_qseq_lo=(-1.0, 5.0), mean_ulgm_qseq_hi=(-5.0, 1.0), - mean_ulgy_qseq_int=(-13.0, -7.0), - mean_ulgy_qseq_slp=(-20.0, 20.0), + mean_ulgy_qseq_xtp=(11.0, 14.0), + mean_ulgy_qseq_ytp=(-13.0, -8.0), + mean_ulgy_qseq_lo=(-1.0, 5.0), + mean_ulgy_qseq_hi=(-5.0, 1.0), mean_ul_qseq_int=(-3.0, 5.0), mean_ul_qseq_slp=(-20.0, 20.0), mean_uh_qseq_int=(-5.0, 3.0), mean_uh_qseq_slp=(-20.0, 20.0), - mean_uqt_int=(0.0, 2.0), - mean_uqt_slp=(-20.0, 20.0), + mean_uqt_xtp=(11.0, 14.0), + mean_uqt_ytp=(0.0, 2.0), + mean_uqt_lo=(-1.0, 0.0), + mean_uqt_hi=(-1.0, 0.0), mean_uqs_int=(-5.0, 2.0), mean_uqs_slp=(-20.0, 20.0), mean_udrop_int=(-3.0, 2.0), @@ -87,22 +100,22 @@ SFH_PDF_QUENCH_COV_MS_BLOCK_PDICT = OrderedDict( [ - ("std_ulgm_mseq_int", 0.011), - ("std_ulgm_mseq_slp", -0.127), - ("std_ulgy_mseq_int", 0.078), - ("std_ulgy_mseq_slp", 0.050), - ("std_ul_mseq_int", 1.309), - ("std_ul_mseq_slp", -0.908), - ("std_uh_mseq_int", 1.005), - ("std_uh_mseq_slp", 0.984), - ("std_ulgm_qseq_int", 0.362), - ("std_ulgm_qseq_slp", -0.065), - ("std_ulgy_qseq_int", 0.055), - ("std_ulgy_qseq_slp", -0.162), - ("std_ul_qseq_int", 1.129), - ("std_ul_qseq_slp", -0.999), - ("std_uh_qseq_int", 0.050), - ("std_uh_qseq_slp", -0.033), + ("std_ulgm_mseq_int", 0.063), + ("std_ulgm_mseq_slp", -0.058), + ("std_ulgy_mseq_int", 0.057), + ("std_ulgy_mseq_slp", 0.246), + ("std_ul_mseq_int", 0.871), + ("std_ul_mseq_slp", -0.999), + ("std_uh_mseq_int", 0.011), + ("std_uh_mseq_slp", 0.014), + ("std_ulgm_qseq_int", 0.440), + ("std_ulgm_qseq_slp", -0.309), + ("std_ulgy_qseq_int", 0.045), + ("std_ulgy_qseq_slp", 0.119), + ("std_ul_qseq_int", 0.762), + ("std_ul_qseq_slp", 0.636), + ("std_uh_qseq_int", 0.011), + ("std_uh_qseq_slp", 0.001), ] ) SFH_PDF_QUENCH_COV_MS_BLOCK_BOUNDS_PDICT = OrderedDict( @@ -126,14 +139,14 @@ SFH_PDF_QUENCH_COV_Q_BLOCK_PDICT = OrderedDict( [ - ("std_uqt_int", 0.071), - ("std_uqt_slp", 0.009), - ("std_uqs_int", 0.032), - ("std_uqs_slp", 0.046), - ("std_udrop_int", 0.252), - ("std_udrop_slp", -0.405), - ("std_urej_int", 1.104), - ("std_urej_slp", -0.999), + ("std_uqt_int", 0.054), + ("std_uqt_slp", 0.021), + ("std_uqs_int", 0.077), + ("std_uqs_slp", 0.074), + ("std_udrop_int", 0.288), + ("std_udrop_slp", -0.999), + ("std_urej_int", 0.965), + ("std_urej_slp", -0.998), ] ) SFH_PDF_QUENCH_COV_Q_BLOCK_BOUNDS_PDICT = OrderedDict( @@ -149,22 +162,22 @@ SFH_PDF_FRAC_QUENCH_PDICT = OrderedDict( [ - ("frac_quench_cen_x0_tpeak", 10.225), + ("frac_quench_cen_x0_tpeak", 9.731), ("frac_quench_cen_k_tpeak", 9.989), - ("frac_quench_cen_x0_ylotpeak", 11.011), - ("frac_quench_cen_x0_yhitpeak", 12.579), - ("frac_quench_cen_ylo_ylotpeak", 0.222), - ("frac_quench_cen_ylo_yhitpeak", 0.223), - ("frac_quench_cen_k", 4.995), - ("frac_quench_cen_yhi", 0.979), - ("frac_quench_sat_x0_tpeak", 3.998), - ("frac_quench_sat_k_tpeak", 4.400), - ("frac_quench_sat_x0_ylotpeak", 11.870), - ("frac_quench_sat_x0_yhitpeak", 11.456), - ("frac_quench_sat_ylo_ylotpeak", 0.999), - ("frac_quench_sat_ylo_yhitpeak", 0.203), + ("frac_quench_cen_x0_ylotpeak", 13.998), + ("frac_quench_cen_x0_yhitpeak", 13.654), + ("frac_quench_cen_ylo_ylotpeak", 0.999), + ("frac_quench_cen_ylo_yhitpeak", 0.302), + ("frac_quench_cen_k", 2.169), + ("frac_quench_cen_yhi", 0.999), + ("frac_quench_sat_x0_tpeak", 9.464), + ("frac_quench_sat_k_tpeak", 0.587), + ("frac_quench_sat_x0_ylotpeak", 11.097), + ("frac_quench_sat_x0_yhitpeak", 13.986), + ("frac_quench_sat_ylo_ylotpeak", 0.501), + ("frac_quench_sat_ylo_yhitpeak", 0.001), ("frac_quench_sat_k", 4.995), - ("frac_quench_sat_yhi", 0.887), + ("frac_quench_sat_yhi", 0.999), ] ) SFH_PDF_FRAC_QUENCH_BOUNDS_PDICT = OrderedDict( @@ -210,10 +223,10 @@ DELTA_UQT_PDICT = OrderedDict( [ ("delta_uqt_x0", 1.001), - ("delta_uqt_k", 0.673), - ("delta_uqt_ylo", -0.857), - ("delta_uqt_yhi", 0.131), - ("delta_uqt_slope", -0.041), + ("delta_uqt_k", 0.578), + ("delta_uqt_ylo", -0.569), + ("delta_uqt_yhi", 0.309), + ("delta_uqt_slope", 0.098), ] ) DELTA_UQT_BOUNDS_PDICT = OrderedDict( @@ -316,11 +329,12 @@ def _get_mean_u_params_mseq(params, logmp0): params.mean_ulgm_mseq_hi, ) - ulgy = line_model( + ulgy = Mcrit_model( logmp0, - params.mean_ulgy_mseq_int, - params.mean_ulgy_mseq_slp, - *BOUNDING_VALS.mean_ulgy, + params.mean_ulgy_mseq_xtp, + params.mean_ulgy_mseq_ytp, + params.mean_ulgy_mseq_lo, + params.mean_ulgy_mseq_hi, ) ul = line_model( @@ -351,11 +365,12 @@ def _get_mean_u_params_qseq(params, logmp0, tpeak): params.mean_ulgm_qseq_hi, ) - ulgy = line_model( + ulgy = Mcrit_model( logmp0, - params.mean_ulgy_qseq_int, - params.mean_ulgy_qseq_slp, - *BOUNDING_VALS.mean_ulgy, + params.mean_ulgy_qseq_xtp, + params.mean_ulgy_qseq_ytp, + params.mean_ulgy_qseq_lo, + params.mean_ulgy_qseq_hi, ) ul = line_model( @@ -372,11 +387,12 @@ def _get_mean_u_params_qseq(params, logmp0, tpeak): *BOUNDING_VALS.mean_uh, ) - _uqt = line_model( + _uqt = Mcrit_model( logmp0, - params.mean_uqt_int, - params.mean_uqt_slp, - *BOUNDING_VALS.mean_uqt, + params.mean_uqt_xtp, + params.mean_uqt_ytp, + params.mean_uqt_lo, + params.mean_uqt_hi, ) delta_uqt = _delta_uqt(params, logmp0, tpeak) uqt = _uqt + delta_uqt From 3ebc83a75eed4a275ce53428baedb78172d10bba Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Thu, 30 Oct 2025 23:01:05 +0100 Subject: [PATCH 02/18] Bringing the diffstarpop fitting scripts used by the paper, along with the scripts used to create the target data for the Diffstarpop paper. --- .../fit_get_loss_helpers_mgash.py | 1374 +++++++++++++++++ .../fit_mstar_ssfr_pdfs_mgash.py | 228 +++ ...easure_smhm_galacticus_script_mpi_mgash.py | 232 +++ .../measure_smhm_smdpl_script_mpi_mgash.py | 291 ++++ .../measure_smhm_tng_script_mpi_mgash.py | 229 +++ .../smhm_utils_galacticus_mgash.py | 516 +++++++ .../smhm_utils_smdpl_mgash.py | 650 ++++++++ .../smhm_utils_tng_mgash.py | 585 +++++++ 8 files changed, 4105 insertions(+) create mode 100644 scripts/diffstarpop_scripts/fit_get_loss_helpers_mgash.py create mode 100644 scripts/diffstarpop_scripts/fit_mstar_ssfr_pdfs_mgash.py create mode 100644 scripts/diffstarpop_scripts/measure_smhm_galacticus_script_mpi_mgash.py create mode 100644 scripts/diffstarpop_scripts/measure_smhm_smdpl_script_mpi_mgash.py create mode 100644 scripts/diffstarpop_scripts/measure_smhm_tng_script_mpi_mgash.py create mode 100644 scripts/diffstarpop_scripts/smhm_utils_galacticus_mgash.py create mode 100644 scripts/diffstarpop_scripts/smhm_utils_smdpl_mgash.py create mode 100644 scripts/diffstarpop_scripts/smhm_utils_tng_mgash.py diff --git a/scripts/diffstarpop_scripts/fit_get_loss_helpers_mgash.py b/scripts/diffstarpop_scripts/fit_get_loss_helpers_mgash.py new file mode 100644 index 0000000..d8c8bb8 --- /dev/null +++ b/scripts/diffstarpop_scripts/fit_get_loss_helpers_mgash.py @@ -0,0 +1,1374 @@ +""" """ + +import os +import h5py +import numpy as np +from diffmah.diffmah_kernels import DiffmahParams, mah_halopop +from diffstar.defaults import LGT0 +from jax import random as jran +from jax import numpy as jnp + + +def get_loss_data_smhm(indir, nhalos): + # Load SMHM data --------------------------------------------- + print("Loading SMHM data...") + + with h5py.File(indir + "smdpl_smhm.h5", "r") as hdf: + redshift_targets = hdf["redshift_targets"][:] + # smhm_diff = hdf["smhm_diff"][:] + smhm = hdf["smhm"][:] + logmh_bins = hdf["logmh_bins"][:] + age_targets = hdf["age_targets"][:] + """ + hdfout["counts_diff"] = wcounts + hdfout["hist_diff"] = whist + hdfout["counts"] = counts + hdfout["hist"] = hist + hdfout["smhm_diff"] = whist / wcounts + hdfout["smhm"] = hist / counts + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["subvol_used"] = subvol_used + """ + + logmh_binsc = 0.5 * (logmh_bins[1:] + logmh_bins[:-1]) + + with h5py.File(indir + "smdpl_smhm_samples_haloes.h5", "r") as hdf: + logmh_id = hdf["logmh_id"][:] + # logmh_val = hdf["logmh_id"][:] + mah_params_samp = hdf["mah_params_samp"][:] + upid_samp = hdf["upid_samp"][:] + # ms_params_samp = hdf["ms_params_samp"][:] + # q_params_samp = hdf["q_params_samp"][:] + tobs_id = hdf["tobs_id"][:] + # tobs_val = hdf["tobs_val"][:] + # redshift_val = hdf["redshift_val"][:] + + # Create loss_data --------------------------------------------- + print("Creating loss data...") + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + smhm_targets = [] + + tarr_logm0 = np.logspace(-1, LGT0, 50) + + for i in range(len(age_targets)): + t_target = age_targets[i] + + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) + + if sel.sum() < nhalos: + continue + arange_sel = np.arange(len(tobs_id))[sel] + arange_sel = np.random.choice(arange_sel, nhalos, replace=False) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + smhm_targets.append(smhm[i, j]) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + smhm_targets = np.array(smhm_targets) + + ran_key_data = jran.split(ran_key, len(smhm_targets)) + loss_data = ( + mah_params_data, + logmp0_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + smhm_targets, + ) + + plot_data = ( + age_targets, + logmh_binsc, + tobs_id, + logmh_id, + tarr_logm0, + lgmu_infall, + logmhost_infall, + gyr_since_infall, + ran_key, + redshift_targets, + smhm, + mah_params_samp, + upid_samp, + ) + + return loss_data, plot_data + + +def get_loss_data_pdfs_mstar(indir, nhalos): + # Load PDF data --------------------------------------------- + print("Loading PDF Mstar data...") + + fname = os.path.join(indir, "smdpl_smhm.h5") + with h5py.File(fname, "r") as hdf: + redshift_targets = hdf["redshift_targets"][:] + smhm_diff = hdf["smhm_diff"][:] + smhm = hdf["smhm"][:] + logmh_bins = hdf["logmh_bins"][:] + age_targets = hdf["age_targets"][:] + hist = hdf["hist"][:] + counts = hdf["counts"][:] + counts_cen = hdf["counts_cen"][:] + counts_sat = hdf["counts_sat"][:] + + logmh_binsc = 0.5 * (logmh_bins[1:] + logmh_bins[:-1]) + + fname = os.path.join(indir, "smdpl_smhm_samples_haloes.h5") + with h5py.File(fname, "r") as hdf: + logmh_id = hdf["logmh_id"][:] + logmh_val = hdf["logmh_id"][:] + mah_params_samp = hdf["mah_params_samp"][:] + ms_params_samp = hdf["ms_params_samp"][:] + q_params_samp = hdf["q_params_samp"][:] + upid_samp = hdf["upid_samp"][:] + tobs_id = hdf["tobs_id"][:] + tobs_val = hdf["tobs_val"][:] + redshift_val = hdf["redshift_val"][:] + + fname = os.path.join(indir, "smdpl_mstar_ssfr.h5") + with h5py.File(fname, "r") as hdf: + mstar_wcounts = hdf["mstar_wcounts"][:] + mstar_counts = hdf["mstar_counts"][:] + mstar_ssfr_wcounts_cent = hdf["mstar_ssfr_wcounts_cent"][:] + mstar_ssfr_wcounts_sat = hdf["mstar_ssfr_wcounts_sat"][:] + logssfr_bins_pdf = hdf["logssfr_bins_pdf"][:] + logmstar_bins_pdf = hdf["logmstar_bins_pdf"][:] + """ + hdfout["mstar_wcounts"] = mstar_wcounts + hdfout["mstar_counts"] = mstar_counts + hdfout["mstar_ssfr_wcounts_cent"] = mstar_ssfr_wcounts_cent + hdfout["mstar_ssfr_wcounts_sat"] = mstar_ssfr_wcounts_sat + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["logmstar_bins_pdf"] = smhm_utils.LOGMSTAR_BINS_PDF + hdfout["logssfr_bins_pdf"] = smhm_utils.LOGSSFR_BINS_PDF + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + """ + + logssfr_binsc_pdf = 0.5 * (logssfr_bins_pdf[1:] + logssfr_bins_pdf[:-1]) + logmstar_binsc_pdf = 0.5 * (logmstar_bins_pdf[1:] + logmstar_bins_pdf[:-1]) + + # Create loss_data --------------------------------------------- + print("Creating loss data...") + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + mstar_counts_target = [] + + tarr_logm0 = np.logspace(-1, LGT0, 50) + + for i in range(len(age_targets)): + t_target = age_targets[i] + + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) + + if sel.sum() < 50: + continue + replace = True if sel.sum() < nhalos else False + arange_sel = np.arange(len(tobs_id))[sel] + arange_sel = np.random.choice(arange_sel, nhalos, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mstar_counts_target.append(mstar_wcounts[i, j] / mstar_wcounts[i, j].sum()) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + # break + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + mstar_counts_target = np.array(mstar_counts_target) + + ran_key_data = jran.split(ran_key, len(mstar_counts_target)) + loss_data_mstar = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + logmstar_bins_pdf, + mstar_counts_target, + ) + + # Create loss_data for plot --------------------------------------------- + print("Creating loss data for plot...") + nhalos_plot = 10000 + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + mstar_counts_target = [] + + tarr_logm0 = np.logspace(-1, LGT0, 50) + + for i in range(len(age_targets)): + t_target = age_targets[i] + + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) + + if sel.sum() < 50: + continue + replace = True if sel.sum() < nhalos_plot else False + arange_sel = np.arange(len(tobs_id))[sel] + arange_sel = np.random.choice(arange_sel, nhalos_plot, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mstar_counts_target.append(mstar_wcounts[i, j] / mstar_wcounts[i, j].sum()) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + # break + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + mstar_counts_target = np.array(mstar_counts_target) + + ran_key_data = jran.split(ran_key, len(mstar_counts_target)) + loss_data_mstar_pred = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + logmstar_bins_pdf, + mstar_counts_target, + ) + plot_data = ( + logmstar_bins_pdf, + mstar_wcounts, + age_targets, + redshift_targets, + tobs_id, + logmh_id, + logmh_binsc, + loss_data_mstar_pred, + ) + + return loss_data_mstar, plot_data + + +def prepare_ragged(indx_pdf, nmhalo_pdf, index_mhalo): + """Run this outside jit once per dataset to create dense, shape-stable arrays.""" + nz = len(indx_pdf) + Mmax = max(len(ix) for ix in indx_pdf) + + # Build dense (nz, Mmax) arrays for indices, weights, and mask + idx_np = np.zeros((nz, Mmax), dtype=jnp.int32) + w_np = np.zeros((nz, Mmax), dtype=nmhalo_pdf.dtype) + # msk_np = np.zeros((nz, Mmax), dtype=bool) + + for z in range(nz): + m = len(indx_pdf[z]) + idx_np[z, :m] = jnp.asarray(indx_pdf[z]) + w_np[z, :m] = jnp.asarray(nmhalo_pdf[z, index_mhalo[z]]) + # msk_np[z, :m] = True + idx = jnp.asarray(idx_np) + w = jnp.asarray(w_np) + # msk = jnp.asarray(msk_np) + # return idx, w, msk # shapes: (nz, Mmax), (nz, Mmax), (nz, Mmax) + return idx, w # shapes: (nz, Mmax), (nz, Mmax) + + +def get_loss_data_pdfs_ssfr_central(indir, nhalos): + + print("Loading PDF Mstar data...") + + fname = os.path.join(indir, "smdpl_smhm.h5") + with h5py.File(fname, "r") as hdf: + redshift_targets = hdf["redshift_targets"][:] + smhm_diff = hdf["smhm_diff"][:] + smhm = hdf["smhm"][:] + logmh_bins = hdf["logmh_bins"][:] + age_targets = hdf["age_targets"][:] + hist = hdf["hist"][:] + counts = hdf["counts"][:] + counts_cen = hdf["counts_cen"][:] + counts_sat = hdf["counts_sat"][:] + + logmh_binsc = 0.5 * (logmh_bins[1:] + logmh_bins[:-1]) + + fname = os.path.join(indir, "smdpl_smhm_samples_haloes.h5") + with h5py.File(fname, "r") as hdf: + logmh_id = hdf["logmh_id"][:] + logmh_val = hdf["logmh_id"][:] + mah_params_samp = hdf["mah_params_samp"][:] + ms_params_samp = hdf["ms_params_samp"][:] + q_params_samp = hdf["q_params_samp"][:] + upid_samp = hdf["upid_samp"][:] + tobs_id = hdf["tobs_id"][:] + tobs_val = hdf["tobs_val"][:] + redshift_val = hdf["redshift_val"][:] + + fname = os.path.join(indir, "smdpl_mstar_ssfr.h5") + with h5py.File(fname, "r") as hdf: + mstar_wcounts = hdf["mstar_wcounts"][:] + mstar_counts = hdf["mstar_counts"][:] + mstar_ssfr_wcounts_cent = hdf["mstar_ssfr_wcounts_cent"][:] + mstar_ssfr_wcounts_sat = hdf["mstar_ssfr_wcounts_sat"][:] + logssfr_bins_pdf = hdf["logssfr_bins_pdf"][:] + logmstar_bins_pdf = hdf["logmstar_bins_pdf"][:] + """ + hdfout["mstar_wcounts"] = mstar_wcounts + hdfout["mstar_counts"] = mstar_counts + hdfout["mstar_ssfr_wcounts_cent"] = mstar_ssfr_wcounts_cent + hdfout["mstar_ssfr_wcounts_sat"] = mstar_ssfr_wcounts_sat + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["logmstar_bins_pdf"] = smhm_utils.LOGMSTAR_BINS_PDF + hdfout["logssfr_bins_pdf"] = smhm_utils.LOGSSFR_BINS_PDF + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + """ + + logssfr_binsc_pdf = 0.5 * (logssfr_bins_pdf[1:] + logssfr_bins_pdf[:-1]) + logmstar_binsc_pdf = 0.5 * (logmstar_bins_pdf[1:] + logmstar_bins_pdf[:-1]) + + mhalo_pdf_hist = hist / np.sum(hist, axis=1)[:, None] + mhalo_pdf = counts / np.sum(counts, axis=1)[:, None] + mhalo_pdf_cen = counts_cen / np.sum(counts_cen, axis=1)[:, None] + mhalo_pdf_sat = counts_sat / np.sum(counts_sat, axis=1)[:, None] + + # Create loss_data --------------------------------------------- + print("Creating loss data...") + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + + mstar_ssfr_pdfs_cent = np.clip(mstar_ssfr_wcounts_cent, 0.0, None) + mstar_ssfr_pdfs_cent = ( + mstar_ssfr_pdfs_cent + / np.sum(mstar_ssfr_pdfs_cent, axis=(2, 3))[:, :, None, None] + ) + mstar_ssfr_pdfs_cent = np.where( + np.isnan(mstar_ssfr_pdfs_cent), 0.0, mstar_ssfr_pdfs_cent + ) + mstar_ssfr_pdfs_cent = np.einsum( + "zmab,zm->zab", mstar_ssfr_pdfs_cent, mhalo_pdf_cen + ) + + tarr_logm0 = np.logspace(-1, LGT0, 50) + + index_mhalo = [] + indx_pdf = [] + _run_indx = 0 + for i in range(len(age_targets)): + t_target = age_targets[i] + index_mhalo_atz = [] + indx_pdf_atz = [] + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) & (upid_samp == -1) + + if sel.sum() < 50: + print(i, j) + continue + arange_sel = np.arange(len(tobs_id))[sel] + replace = True if sel.sum() < nhalos else False + arange_sel = np.random.choice(arange_sel, nhalos, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + + index_mhalo_atz.append(j) + indx_pdf_atz.append(_run_indx) + _run_indx += 1 + + index_mhalo.append(np.array(index_mhalo_atz)) + indx_pdf.append(np.array(indx_pdf_atz)) + # break + # target_mstar_ids = np.array([4, 9, 14, 17, 19, 22]) + # target_mstar_ids = np.array([9, 14, 17, 19, 22]) + target_mstar_ids = np.array([8, 10, 13, 16, 19]) + # target_mstar_ids = np.array([9, 12, 15, 17, 19]) + # target_mstar_ids = np.array([14, 17, 19, 22]) + print(logmstar_binsc_pdf[target_mstar_ids]) + target_data = np.zeros( + (len(age_targets), len(target_mstar_ids), len(logssfr_binsc_pdf)) + ) + for i in range(len(age_targets)): + for j, jval in enumerate(target_mstar_ids): + if mstar_ssfr_pdfs_cent[i, jval].sum() > 0.0: + target_data[i, j] = ( + mstar_ssfr_pdfs_cent[i, jval] / mstar_ssfr_pdfs_cent[i, jval].sum() + ) + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + + ran_key_data = jran.split(ran_key, len(t_obs_targets)) + + ndbins_lo = [] + ndbins_hi = [] + for i in range(len(logmstar_bins_pdf) - 1): + for j in range(len(logssfr_bins_pdf) - 1): + ndbins_lo.append([logmstar_bins_pdf[i], logssfr_bins_pdf[j]]) + ndbins_hi.append([logmstar_bins_pdf[i + 1], logssfr_bins_pdf[j + 1]]) + ndbins_lo = np.array(ndbins_lo) + ndbins_hi = np.array(ndbins_hi) + + indx_pdf, mhalo_pdf_cen_ragged = prepare_ragged( + indx_pdf, mhalo_pdf_cen, index_mhalo + ) + + loss_data_ssfr = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + mhalo_pdf_cen_ragged, + indx_pdf, + jnp.asarray(target_mstar_ids), + target_data, + ) + + # Create loss_data for plot --------------------------------------------- + print("Creating loss data for plot...") + nhalos_plot = 10000 + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + + mstar_ssfr_pdfs_cent = np.clip(mstar_ssfr_wcounts_cent, 0.0, None) + mstar_ssfr_pdfs_cent = ( + mstar_ssfr_pdfs_cent + / np.sum(mstar_ssfr_pdfs_cent, axis=(2, 3))[:, :, None, None] + ) + mstar_ssfr_pdfs_cent = np.where( + np.isnan(mstar_ssfr_pdfs_cent), 0.0, mstar_ssfr_pdfs_cent + ) + mstar_ssfr_pdfs_cent = np.einsum( + "zmab,zm->zab", mstar_ssfr_pdfs_cent, mhalo_pdf_cen + ) + + index_mhalo = [] + indx_pdf = [] + _run_indx = 0 + for i in range(len(age_targets)): + t_target = age_targets[i] + index_mhalo_atz = [] + indx_pdf_atz = [] + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) & (upid_samp == -1) + + if sel.sum() < 50: + print(i, j, t_target, logmh_binsc[j], sel.sum()) + continue + arange_sel = np.arange(len(tobs_id))[sel] + replace = True if sel.sum() < nhalos_plot else False + arange_sel = np.random.choice(arange_sel, nhalos_plot, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + + index_mhalo_atz.append(j) + indx_pdf_atz.append(_run_indx) + _run_indx += 1 + + index_mhalo.append(np.array(index_mhalo_atz)) + indx_pdf.append(np.array(indx_pdf_atz)) + # break + # target_mstar_ids = np.array([4, 9, 14, 17, 19, 22]) + # target_mstar_ids = np.array([9, 14, 17, 19, 22]) + target_mstar_ids = np.array([8, 10, 13, 16, 19]) + # target_mstar_ids = np.array([9, 12, 15, 17, 19]) + # target_mstar_ids = np.array([14, 17, 19, 22]) + print(logmstar_binsc_pdf[target_mstar_ids]) + target_data = np.zeros( + (len(age_targets), len(target_mstar_ids), len(logssfr_binsc_pdf)) + ) + for i in range(len(age_targets)): + for j, jval in enumerate(target_mstar_ids): + if mstar_ssfr_pdfs_cent[i, jval].sum() > 0.0: + target_data[i, j] = ( + mstar_ssfr_pdfs_cent[i, jval] / mstar_ssfr_pdfs_cent[i, jval].sum() + ) + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + + ran_key_data = jran.split(ran_key, len(t_obs_targets)) + + ndbins_lo = [] + ndbins_hi = [] + for i in range(len(logmstar_bins_pdf) - 1): + for j in range(len(logssfr_bins_pdf) - 1): + ndbins_lo.append([logmstar_bins_pdf[i], logssfr_bins_pdf[j]]) + ndbins_hi.append([logmstar_bins_pdf[i + 1], logssfr_bins_pdf[j + 1]]) + ndbins_lo = np.array(ndbins_lo) + ndbins_hi = np.array(ndbins_hi) + + indx_pdf, mhalo_pdf_cen_ragged = prepare_ragged( + indx_pdf, mhalo_pdf_cen, index_mhalo + ) + + loss_data_ssfr_pred = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + mhalo_pdf_cen_ragged, + indx_pdf, + jnp.asarray(target_mstar_ids), + target_data, + ) + + plot_data = ( + jnp.asarray(target_mstar_ids), + logssfr_binsc_pdf, + target_data, + loss_data_ssfr_pred, + ) + + return loss_data_ssfr, plot_data + + +def get_loss_data_pdfs_ssfr_satellite(indir, nhalos): + + print("Loading PDF Mstar data...") + + fname = os.path.join(indir, "smdpl_smhm.h5") + with h5py.File(fname, "r") as hdf: + redshift_targets = hdf["redshift_targets"][:] + smhm_diff = hdf["smhm_diff"][:] + smhm = hdf["smhm"][:] + logmh_bins = hdf["logmh_bins"][:] + age_targets = hdf["age_targets"][:] + hist = hdf["hist"][:] + counts = hdf["counts"][:] + counts_cen = hdf["counts_cen"][:] + counts_sat = hdf["counts_sat"][:] + + logmh_binsc = 0.5 * (logmh_bins[1:] + logmh_bins[:-1]) + + fname = os.path.join(indir, "smdpl_smhm_samples_haloes.h5") + with h5py.File(fname, "r") as hdf: + logmh_id = hdf["logmh_id"][:] + logmh_val = hdf["logmh_id"][:] + mah_params_samp = hdf["mah_params_samp"][:] + ms_params_samp = hdf["ms_params_samp"][:] + q_params_samp = hdf["q_params_samp"][:] + upid_samp = hdf["upid_samp"][:] + tobs_id = hdf["tobs_id"][:] + tobs_val = hdf["tobs_val"][:] + redshift_val = hdf["redshift_val"][:] + + fname = os.path.join(indir, "smdpl_mstar_ssfr.h5") + with h5py.File(fname, "r") as hdf: + mstar_wcounts = hdf["mstar_wcounts"][:] + mstar_counts = hdf["mstar_counts"][:] + mstar_ssfr_wcounts_cent = hdf["mstar_ssfr_wcounts_cent"][:] + mstar_ssfr_wcounts_sat = hdf["mstar_ssfr_wcounts_sat"][:] + logssfr_bins_pdf = hdf["logssfr_bins_pdf"][:] + logmstar_bins_pdf = hdf["logmstar_bins_pdf"][:] + """ + hdfout["mstar_wcounts"] = mstar_wcounts + hdfout["mstar_counts"] = mstar_counts + hdfout["mstar_ssfr_wcounts_cent"] = mstar_ssfr_wcounts_cent + hdfout["mstar_ssfr_wcounts_sat"] = mstar_ssfr_wcounts_sat + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["logmstar_bins_pdf"] = smhm_utils.LOGMSTAR_BINS_PDF + hdfout["logssfr_bins_pdf"] = smhm_utils.LOGSSFR_BINS_PDF + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + """ + + logssfr_binsc_pdf = 0.5 * (logssfr_bins_pdf[1:] + logssfr_bins_pdf[:-1]) + logmstar_binsc_pdf = 0.5 * (logmstar_bins_pdf[1:] + logmstar_bins_pdf[:-1]) + + mhalo_pdf_hist = hist / np.sum(hist, axis=1)[:, None] + mhalo_pdf = counts / np.sum(counts, axis=1)[:, None] + mhalo_pdf_cen = counts_cen / np.sum(counts_cen, axis=1)[:, None] + mhalo_pdf_sat = counts_sat / np.sum(counts_sat, axis=1)[:, None] + + # Create loss_data --------------------------------------------- + print("Creating loss data...") + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + + mstar_ssfr_pdfs_sat = np.clip(mstar_ssfr_wcounts_sat, 0.0, None) + mstar_ssfr_pdfs_sat = ( + mstar_ssfr_pdfs_sat / np.sum(mstar_ssfr_pdfs_sat, axis=(2, 3))[:, :, None, None] + ) + mstar_ssfr_pdfs_sat = np.where( + np.isnan(mstar_ssfr_pdfs_sat), 0.0, mstar_ssfr_pdfs_sat + ) + mstar_ssfr_pdfs_sat = np.einsum("zmab,zm->zab", mstar_ssfr_pdfs_sat, mhalo_pdf_sat) + + index_mhalo = [] + indx_pdf = [] + _run_indx = 0 + + tarr_logm0 = np.logspace(-1, LGT0, 50) + for i in range(len(age_targets)): + t_target = age_targets[i] + index_mhalo_atz = [] + indx_pdf_atz = [] + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) & (upid_samp != -1) + + if sel.sum() < 50: + print(i, j) + continue + arange_sel = np.arange(len(tobs_id))[sel] + replace = True if sel.sum() < nhalos else False + arange_sel = np.random.choice(arange_sel, nhalos, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + + index_mhalo_atz.append(j) + indx_pdf_atz.append(_run_indx) + _run_indx += 1 + + index_mhalo.append(np.array(index_mhalo_atz)) + indx_pdf.append(np.array(indx_pdf_atz)) + + # break + # target_mstar_ids = np.array([4, 9, 14, 17, 19, 22]) + # target_mstar_ids = np.array([9, 14, 17, 19, 22]) + target_mstar_ids = np.array([8, 10, 13, 16, 19]) + # target_mstar_ids = np.array([9, 12, 15, 17]) + # target_mstar_ids = np.array([14, 17, 19, 22]) + print(logmstar_binsc_pdf[target_mstar_ids]) + target_data_sat = np.zeros( + (len(age_targets), len(target_mstar_ids), len(logssfr_binsc_pdf)) + ) + for i in range(len(age_targets)): + for j, jval in enumerate(target_mstar_ids): + if mstar_ssfr_pdfs_sat[i, jval].sum() > 0.0: + target_data_sat[i, j] = ( + mstar_ssfr_pdfs_sat[i, jval] / mstar_ssfr_pdfs_sat[i, jval].sum() + ) + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + + ran_key_data = jran.split(ran_key, len(t_obs_targets)) + + ndbins_lo = [] + ndbins_hi = [] + for i in range(len(logmstar_bins_pdf) - 1): + for j in range(len(logssfr_bins_pdf) - 1): + ndbins_lo.append([logmstar_bins_pdf[i], logssfr_bins_pdf[j]]) + ndbins_hi.append([logmstar_bins_pdf[i + 1], logssfr_bins_pdf[j + 1]]) + ndbins_lo = np.array(ndbins_lo) + ndbins_hi = np.array(ndbins_hi) + + indx_pdf, mhalo_pdf_sat_ragged = prepare_ragged( + indx_pdf, mhalo_pdf_sat, index_mhalo + ) + + loss_data_ssfr_sat = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + mhalo_pdf_sat_ragged, + indx_pdf, + jnp.asarray(target_mstar_ids), + target_data_sat, + ) + + # Create loss_data for plot --------------------------------------------- + print("Creating loss data for plot...") + nhalos_plot = 10000 + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + + mstar_ssfr_pdfs_sat = np.clip(mstar_ssfr_wcounts_sat, 0.0, None) + mstar_ssfr_pdfs_sat = ( + mstar_ssfr_pdfs_sat / np.sum(mstar_ssfr_pdfs_sat, axis=(2, 3))[:, :, None, None] + ) + mstar_ssfr_pdfs_sat = np.where( + np.isnan(mstar_ssfr_pdfs_sat), 0.0, mstar_ssfr_pdfs_sat + ) + mstar_ssfr_pdfs_sat = np.einsum("zmab,zm->zab", mstar_ssfr_pdfs_sat, mhalo_pdf_sat) + + index_mhalo = [] + indx_pdf = [] + _run_indx = 0 + + for i in range(len(age_targets)): + t_target = age_targets[i] + index_mhalo_atz = [] + indx_pdf_atz = [] + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) & (upid_samp != -1) + + if sel.sum() < 50: + print(i, j) + continue + arange_sel = np.arange(len(tobs_id))[sel] + replace = True if sel.sum() < nhalos_plot else False + arange_sel = np.random.choice(arange_sel, nhalos_plot, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + + index_mhalo_atz.append(j) + indx_pdf_atz.append(_run_indx) + _run_indx += 1 + + index_mhalo.append(np.array(index_mhalo_atz)) + indx_pdf.append(np.array(indx_pdf_atz)) + # break + # target_mstar_ids = np.array([4, 9, 14, 17, 19, 22]) + # target_mstar_ids = np.array([9, 14, 17, 19, 22]) + target_mstar_ids = np.array([8, 10, 13, 16, 19]) + # target_mstar_ids = np.array([9, 12, 15, 17]) + # target_mstar_ids = np.array([14, 17, 19, 22]) + print(logmstar_binsc_pdf[target_mstar_ids]) + target_data_sat = np.zeros( + (len(age_targets), len(target_mstar_ids), len(logssfr_binsc_pdf)) + ) + for i in range(len(age_targets)): + for j, jval in enumerate(target_mstar_ids): + if mstar_ssfr_pdfs_sat[i, jval].sum() > 0.0: + target_data_sat[i, j] = ( + mstar_ssfr_pdfs_sat[i, jval] / mstar_ssfr_pdfs_sat[i, jval].sum() + ) + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + + ran_key_data = jran.split(ran_key, len(t_obs_targets)) + + ndbins_lo = [] + ndbins_hi = [] + for i in range(len(logmstar_bins_pdf) - 1): + for j in range(len(logssfr_bins_pdf) - 1): + ndbins_lo.append([logmstar_bins_pdf[i], logssfr_bins_pdf[j]]) + ndbins_hi.append([logmstar_bins_pdf[i + 1], logssfr_bins_pdf[j + 1]]) + ndbins_lo = np.array(ndbins_lo) + ndbins_hi = np.array(ndbins_hi) + + indx_pdf, mhalo_pdf_sat_ragged = prepare_ragged( + indx_pdf, mhalo_pdf_sat, index_mhalo + ) + + loss_data_ssfr_sat_pred = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + mhalo_pdf_sat_ragged, + indx_pdf, + jnp.asarray(target_mstar_ids), + target_data_sat, + ) + + plot_data = ( + jnp.asarray(target_mstar_ids), + logssfr_binsc_pdf, + target_data_sat, + loss_data_ssfr_sat_pred, + ) + + return loss_data_ssfr_sat, plot_data + + +def get_loss_data_pdfs_mstar_cen(indir, nhalos): + # Load PDF data --------------------------------------------- + print("Loading PDF Mstar for centrals data...") + + fname = os.path.join(indir, "smdpl_smhm.h5") + with h5py.File(fname, "r") as hdf: + redshift_targets = hdf["redshift_targets"][:] + smhm_diff = hdf["smhm_diff"][:] + smhm = hdf["smhm"][:] + logmh_bins = hdf["logmh_bins"][:] + age_targets = hdf["age_targets"][:] + hist = hdf["hist"][:] + counts = hdf["counts"][:] + counts_cen = hdf["counts_cen"][:] + counts_sat = hdf["counts_sat"][:] + + logmh_binsc = 0.5 * (logmh_bins[1:] + logmh_bins[:-1]) + + fname = os.path.join(indir, "smdpl_smhm_samples_haloes.h5") + with h5py.File(fname, "r") as hdf: + logmh_id = hdf["logmh_id"][:] + logmh_val = hdf["logmh_id"][:] + mah_params_samp = hdf["mah_params_samp"][:] + ms_params_samp = hdf["ms_params_samp"][:] + q_params_samp = hdf["q_params_samp"][:] + upid_samp = hdf["upid_samp"][:] + tobs_id = hdf["tobs_id"][:] + tobs_val = hdf["tobs_val"][:] + redshift_val = hdf["redshift_val"][:] + + fname = os.path.join(indir, "smdpl_mstar_ssfr.h5") + with h5py.File(fname, "r") as hdf: + mstar_wcounts = hdf["mstar_wcounts"][:] + mstar_counts = hdf["mstar_counts"][:] + mstar_ssfr_wcounts_cent = hdf["mstar_ssfr_wcounts_cent"][:] + mstar_ssfr_wcounts_sat = hdf["mstar_ssfr_wcounts_sat"][:] + logssfr_bins_pdf = hdf["logssfr_bins_pdf"][:] + logmstar_bins_pdf = hdf["logmstar_bins_pdf"][:] + """ + hdfout["mstar_wcounts"] = mstar_wcounts + hdfout["mstar_counts"] = mstar_counts + hdfout["mstar_ssfr_wcounts_cent"] = mstar_ssfr_wcounts_cent + hdfout["mstar_ssfr_wcounts_sat"] = mstar_ssfr_wcounts_sat + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["logmstar_bins_pdf"] = smhm_utils.LOGMSTAR_BINS_PDF + hdfout["logssfr_bins_pdf"] = smhm_utils.LOGSSFR_BINS_PDF + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + """ + + mstar_wcounts_cen = np.sum(mstar_ssfr_wcounts_cent, axis=3) + mstar_wcounts_sat = np.sum(mstar_ssfr_wcounts_sat, axis=3) + + logssfr_binsc_pdf = 0.5 * (logssfr_bins_pdf[1:] + logssfr_bins_pdf[:-1]) + logmstar_binsc_pdf = 0.5 * (logmstar_bins_pdf[1:] + logmstar_bins_pdf[:-1]) + + # Create loss_data --------------------------------------------- + print("Creating loss data...") + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + # Centrals + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + mstar_counts_target = [] + + tarr_logm0 = np.logspace(-1, LGT0, 50) + + for i in range(len(age_targets)): + t_target = age_targets[i] + + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) & (upid_samp == -1) + + if sel.sum() < 50: + continue + replace = True if sel.sum() < nhalos else False + arange_sel = np.arange(len(tobs_id))[sel] + arange_sel = np.random.choice(arange_sel, nhalos, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mstar_counts_target.append( + mstar_wcounts_cen[i, j] / mstar_wcounts_cen[i, j].sum() + ) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + # break + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + mstar_counts_target = np.array(mstar_counts_target) + + ran_key_data = jran.split(ran_key, len(mstar_counts_target)) + loss_data_mstar = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + logmstar_bins_pdf, + mstar_counts_target, + ) + + # Create loss_data for plot --------------------------------------------- + print("Creating loss data for plot...") + nhalos_plot = 10000 + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + mstar_counts_target = [] + + tarr_logm0 = np.logspace(-1, LGT0, 50) + + for i in range(len(age_targets)): + t_target = age_targets[i] + + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) & (upid_samp == -1) + + if sel.sum() < 50: + continue + replace = True if sel.sum() < nhalos_plot else False + arange_sel = np.arange(len(tobs_id))[sel] + arange_sel = np.random.choice(arange_sel, nhalos_plot, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mstar_counts_target.append( + mstar_wcounts_cen[i, j] / mstar_wcounts_cen[i, j].sum() + ) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + # break + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + mstar_counts_target = np.array(mstar_counts_target) + + ran_key_data = jran.split(ran_key, len(mstar_counts_target)) + loss_data_mstar_pred = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + logmstar_bins_pdf, + mstar_counts_target, + ) + plot_data = ( + logmstar_bins_pdf, + mstar_wcounts, + age_targets, + redshift_targets, + tobs_id, + logmh_id, + logmh_binsc, + loss_data_mstar_pred, + ) + + return loss_data_mstar, plot_data + + +def get_loss_data_pdfs_mstar_sat(indir, nhalos): + # Load PDF data --------------------------------------------- + print("Loading PDF Mstar for satellites data...") + + fname = os.path.join(indir, "smdpl_smhm.h5") + with h5py.File(fname, "r") as hdf: + redshift_targets = hdf["redshift_targets"][:] + smhm_diff = hdf["smhm_diff"][:] + smhm = hdf["smhm"][:] + logmh_bins = hdf["logmh_bins"][:] + age_targets = hdf["age_targets"][:] + hist = hdf["hist"][:] + counts = hdf["counts"][:] + counts_cen = hdf["counts_cen"][:] + counts_sat = hdf["counts_sat"][:] + + logmh_binsc = 0.5 * (logmh_bins[1:] + logmh_bins[:-1]) + + fname = os.path.join(indir, "smdpl_smhm_samples_haloes.h5") + with h5py.File(fname, "r") as hdf: + logmh_id = hdf["logmh_id"][:] + logmh_val = hdf["logmh_id"][:] + mah_params_samp = hdf["mah_params_samp"][:] + ms_params_samp = hdf["ms_params_samp"][:] + q_params_samp = hdf["q_params_samp"][:] + upid_samp = hdf["upid_samp"][:] + tobs_id = hdf["tobs_id"][:] + tobs_val = hdf["tobs_val"][:] + redshift_val = hdf["redshift_val"][:] + + fname = os.path.join(indir, "smdpl_mstar_ssfr.h5") + with h5py.File(fname, "r") as hdf: + mstar_wcounts = hdf["mstar_wcounts"][:] + mstar_counts = hdf["mstar_counts"][:] + mstar_ssfr_wcounts_cent = hdf["mstar_ssfr_wcounts_cent"][:] + mstar_ssfr_wcounts_sat = hdf["mstar_ssfr_wcounts_sat"][:] + logssfr_bins_pdf = hdf["logssfr_bins_pdf"][:] + logmstar_bins_pdf = hdf["logmstar_bins_pdf"][:] + """ + hdfout["mstar_wcounts"] = mstar_wcounts + hdfout["mstar_counts"] = mstar_counts + hdfout["mstar_ssfr_wcounts_cent"] = mstar_ssfr_wcounts_cent + hdfout["mstar_ssfr_wcounts_sat"] = mstar_ssfr_wcounts_sat + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["logmstar_bins_pdf"] = smhm_utils.LOGMSTAR_BINS_PDF + hdfout["logssfr_bins_pdf"] = smhm_utils.LOGSSFR_BINS_PDF + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + """ + + mstar_wcounts_cen = np.sum(mstar_ssfr_wcounts_cent, axis=3) + mstar_wcounts_sat = np.sum(mstar_ssfr_wcounts_sat, axis=3) + + logssfr_binsc_pdf = 0.5 * (logssfr_bins_pdf[1:] + logssfr_bins_pdf[:-1]) + logmstar_binsc_pdf = 0.5 * (logmstar_bins_pdf[1:] + logmstar_bins_pdf[:-1]) + + # Create loss_data --------------------------------------------- + print("Creating loss data...") + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + # Centrals + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + mstar_counts_target = [] + + tarr_logm0 = np.logspace(-1, LGT0, 50) + + for i in range(len(age_targets)): + t_target = age_targets[i] + + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) & (upid_samp != -1) + + if sel.sum() < 50: + continue + replace = True if sel.sum() < nhalos else False + arange_sel = np.arange(len(tobs_id))[sel] + arange_sel = np.random.choice(arange_sel, nhalos, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mstar_counts_target.append( + mstar_wcounts_sat[i, j] / mstar_wcounts_sat[i, j].sum() + ) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + # break + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + mstar_counts_target = np.array(mstar_counts_target) + + ran_key_data = jran.split(ran_key, len(mstar_counts_target)) + loss_data_mstar = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + logmstar_bins_pdf, + mstar_counts_target, + ) + + # Create loss_data for plot --------------------------------------------- + print("Creating loss data for plot...") + nhalos_plot = 10000 + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + lgmu_infall = -1.0 + logmhost_infall = 13.0 + gyr_since_infall = -99.0 # 2.0 + + mah_params_data = [] + logmp0_data = [] + upid_data = [] + lgmu_infall_data = [] + logmhost_infall_data = [] + gyr_since_infall_data = [] + t_obs_targets = [] + mstar_counts_target = [] + + tarr_logm0 = np.logspace(-1, LGT0, 50) + + for i in range(len(age_targets)): + t_target = age_targets[i] + + for j in range(len(logmh_binsc)): + sel = (tobs_id == i) & (logmh_id == j) & (upid_samp != -1) + + if sel.sum() < 50: + continue + replace = True if sel.sum() < nhalos_plot else False + arange_sel = np.arange(len(tobs_id))[sel] + arange_sel = np.random.choice(arange_sel, nhalos_plot, replace=replace) + mah_params_data.append(mah_params_samp[:, arange_sel]) + upid_data.append(upid_samp[arange_sel]) + lgmu_infall_data.append(np.ones(len(arange_sel)) * lgmu_infall) + logmhost_infall_data.append(np.ones(len(arange_sel)) * logmhost_infall) + gyr_since_infall_data.append(np.ones(len(arange_sel)) * gyr_since_infall) + t_obs_targets.append(t_target) + mstar_counts_target.append( + mstar_wcounts_sat[i, j] / mstar_wcounts_sat[i, j].sum() + ) + mah_pars_ntuple = DiffmahParams(*mah_params_samp[:, arange_sel]) + dmhdt_fit, log_mah_fit = mah_halopop(mah_pars_ntuple, tarr_logm0, LGT0) + logmp0_data.append(log_mah_fit[:, -1]) + # break + + mah_params_data = np.array(mah_params_data) + logmp0_data = np.array(logmp0_data) + upid_data = np.array(upid_data) + lgmu_infall_data = np.array(lgmu_infall_data) + logmhost_infall_data = np.array(logmhost_infall_data) + gyr_since_infall_data = np.array(gyr_since_infall_data) + t_obs_targets = np.array(t_obs_targets) + mstar_counts_target = np.array(mstar_counts_target) + + ran_key_data = jran.split(ran_key, len(mstar_counts_target)) + loss_data_mstar_pred = ( + mah_params_data, + logmp0_data, + upid_data, + lgmu_infall_data, + logmhost_infall_data, + gyr_since_infall_data, + ran_key_data, + t_obs_targets, + logmstar_bins_pdf, + mstar_counts_target, + ) + plot_data = ( + logmstar_bins_pdf, + mstar_wcounts, + age_targets, + redshift_targets, + tobs_id, + logmh_id, + logmh_binsc, + loss_data_mstar_pred, + ) + + return loss_data_mstar, plot_data diff --git a/scripts/diffstarpop_scripts/fit_mstar_ssfr_pdfs_mgash.py b/scripts/diffstarpop_scripts/fit_mstar_ssfr_pdfs_mgash.py new file mode 100644 index 0000000..1cb4d43 --- /dev/null +++ b/scripts/diffstarpop_scripts/fit_mstar_ssfr_pdfs_mgash.py @@ -0,0 +1,228 @@ +import os +import h5py +import numpy as np +from jax import ( + numpy as jnp, + jit as jjit, + random as jran, + grad, + vmap, +) +import argparse +from time import time +from scipy.optimize import minimize +from jax.example_libraries import optimizers as jax_opt + +from collections import OrderedDict, namedtuple + +from diffstar.defaults import TODAY, LGT0 +from diffmah.diffmah_kernels import mah_halopop + +from diffstar.diffstarpop.loss_kernels.mstar_ssfr_loss_mgash import ( + loss_mstar_kern_tobs_grad_wrapper, + loss_mstar_ssfr_kern_tobs_grad_wrapper, + loss_combined_wrapper, + loss_combined_3loss_wrapper, +) + +from diffstar.diffstarpop.kernels.defaults_mgash import ( + DEFAULT_DIFFSTARPOP_U_PARAMS, + DEFAULT_DIFFSTARPOP_PARAMS, + get_bounded_diffstarpop_params, +) + +from fit_get_loss_helpers_mgash import ( + get_loss_data_pdfs_mstar, + get_loss_data_pdfs_ssfr_central, + get_loss_data_pdfs_ssfr_satellite, +) +from diffstar.diffstarpop.kernels.params import ( + DiffstarPop_UParams_Diffstarfits_mgash, +) + +BEBOP_SMHM_MEAN_DATA = "/lcrc/project/halotools/alarcon/results/" + +if __name__ == "__main__": + + parser = argparse.ArgumentParser() + parser.add_argument( + "-indir", help="input drn", type=str, default=BEBOP_SMHM_MEAN_DATA + ) + parser.add_argument( + "-outdir", help="output drn", type=str, default=BEBOP_SMHM_MEAN_DATA + ) + parser.add_argument( + "-nhalos", help="Number of halos for fitting", type=int, default=100 + ) + parser.add_argument( + "-nstep", help="Number of steps for fitting", type=int, default=1000 + ) + parser.add_argument( + "-outname", + help="output fname for best params", + type=str, + default="bestfit_diffstarpop_params", + ) + parser.add_argument( + "-loss_type", + help="Which data to target", + type=str, + choices=["mstar", "mstar_ssfr_cen", "mstar_ssfr_cen_sat"], + default="mstar", + ) + parser.add_argument( + "--params_path", + type=str, + default=None, + help="Path were diffstarpop params are stored", + ) + parser.add_argument( + "--print_loss", + type=int, + default=100, + help="How many steps before printing current loss", + ) + + args = parser.parse_args() + indir = args.indir + outdir = args.outdir + nhalos = args.nhalos + n_step = args.nstep + outname = args.outname + params_path = args.params_path + loss_type = args.loss_type + + # Load MStar pdf data --------------------------------------------- + + if loss_type == "mstar": + loss_data_mstar, plot_data_mstar = get_loss_data_pdfs_mstar(indir, nhalos) + loss_data = (loss_data_mstar,) + elif loss_type == "mstar_ssfr_cen": + loss_data_mstar, plot_data_mstar = get_loss_data_pdfs_mstar(indir, nhalos) + loss_data_ssfr_cen, plot_data_ssfr_cen = get_loss_data_pdfs_ssfr_central( + indir, nhalos + ) + loss_data = (loss_data_mstar, loss_data_ssfr_cen) + elif loss_type == "mstar_ssfr_cen_sat": + loss_data_mstar, plot_data_mstar = get_loss_data_pdfs_mstar(indir, nhalos) + loss_data_ssfr_cen, plot_data_ssfr_cen = get_loss_data_pdfs_ssfr_central( + indir, nhalos + ) + loss_data_ssfr_sat, plot_data_ssfr_sat = get_loss_data_pdfs_ssfr_satellite( + indir, nhalos + ) + loss_data = (loss_data_mstar, loss_data_ssfr_cen, loss_data_ssfr_sat) + + # Define loss kernel --------------------------------------------- + if loss_type == "mstar": + loss_kernel = loss_mstar_kern_tobs_grad_wrapper + elif loss_type == "mstar_ssfr_cen": + loss_kernel = loss_combined_wrapper + elif loss_type == "mstar_ssfr_cen_sat": + loss_kernel = loss_combined_3loss_wrapper + + # Register params --------------------------------------------- + + if params_path is None: + all_u_params = jnp.asarray(DEFAULT_DIFFSTARPOP_U_PARAMS) + elif params_path.startswith("diffstarfits"): + sim_name = params_path.split("_")[1:] + sim_name = ("_").join(sim_name) + params_tuple = DiffstarPop_UParams_Diffstarfits_mgash[sim_name] + all_u_params = jnp.asarray(params_tuple) + else: + params = np.load(params_path) + all_u_params = params["diffstarpop_u_params"] + + # Run fitter --------------------------------------------- + print("Running fitter...") + + params_init = jnp.asarray(all_u_params) + loss_kernel(params_init, *loss_data) + + start = time() + + step_size = 0.01 + + loss_arr = np.zeros(n_step).astype("f4") + np.inf + + opt_init, opt_update, get_params = jax_opt.adam(step_size) + opt_state = opt_init(params_init) + + n_params = len(params_init) + params_arr = np.zeros((n_step, n_params)).astype("f4") + + n_mah = 100 + + ran_key = jran.PRNGKey(np.random.randint(2**32)) + + no_nan_grads_arr = np.zeros(n_step) + for istep in range(n_step): + start = time() + ran_key, subkey = jran.split(ran_key, 2) + + p = np.array(get_params(opt_state)) + + loss, grads = loss_kernel(p, *loss_data) + + no_nan_params = np.all(np.isfinite(p)) + no_nan_loss = np.isfinite(loss) + no_nan_grads = np.all(np.isfinite(grads)) + if ~no_nan_loss: + print("NaN in loss, trying to take extra gradient step") + opt_state2 = opt_update(istep, current_grads, opt_state) + p2 = np.array(get_params(opt_state2)) + loss2, grads2 = loss_kernel(p2, *loss_data) + no_nan_params2 = np.all(np.isfinite(p2)) + no_nan_loss2 = np.isfinite(loss2) + no_nan_grads2 = np.all(np.isfinite(grads2)) + if ~no_nan_params2 | ~no_nan_loss2 | ~no_nan_grads2: + print("Extra step failed") + continue + else: + p = p2.copy() + loss = loss2.copy() + grads = grads2.copy() + no_nan_params = np.all(np.isfinite(p)) + no_nan_loss = np.isfinite(loss) + no_nan_grads = np.all(np.isfinite(grads)) + + if ~no_nan_params | ~no_nan_loss | ~no_nan_grads: + # break + if istep > 0: + indx_best = np.nanargmin(loss_arr[:istep]) + best_fit_params = params_arr[indx_best] + best_fit_loss = loss_arr[indx_best] + else: + best_fit_params = np.copy(p) + best_fit_loss = 999.99 + else: + params_arr[istep, :] = p + loss_arr[istep] = loss + opt_state = opt_update(istep, grads, opt_state) + + current_grads = grads.copy() + + no_nan_grads_arr[istep] = ~no_nan_grads + end = time() + if istep % args.print_loss == 0: + print(istep, loss, end - start, no_nan_grads) + if ~no_nan_grads: + break + + argmin_best = np.argmin(loss_arr) + best_fit_u_params = params_arr[argmin_best] + + def return_params_from_result(best_fit_u_params): + bestfit_u_tuple = DEFAULT_DIFFSTARPOP_U_PARAMS._make(best_fit_u_params) + diffstarpop_params = get_bounded_diffstarpop_params(bestfit_u_tuple) + return diffstarpop_params + + best_fit_params = return_params_from_result(best_fit_u_params) + best_fit_params = jnp.asarray(best_fit_params) + + np.savez( + os.path.join(outdir, outname) + ".npz", + diffstarpop_params=best_fit_params, + diffstarpop_u_params=best_fit_u_params, + ) diff --git a/scripts/diffstarpop_scripts/measure_smhm_galacticus_script_mpi_mgash.py b/scripts/diffstarpop_scripts/measure_smhm_galacticus_script_mpi_mgash.py new file mode 100644 index 0000000..e359d0c --- /dev/null +++ b/scripts/diffstarpop_scripts/measure_smhm_galacticus_script_mpi_mgash.py @@ -0,0 +1,232 @@ +"""This module tabulates for SMDPL""" + +import argparse +import os +from time import time +import subprocess + +import h5py +import numpy as np +import gc + +import smhm_utils_galacticus_mgash as smhm_utils + +from mpi4py import MPI + +TMP_OUTPATH = "_tmp_subvol_{0}_galacticus_smhm.h5" + +if __name__ == "__main__": + comm = MPI.COMM_WORLD + rank, nranks = comm.Get_rank(), comm.Get_size() + + parser = argparse.ArgumentParser() + parser.add_argument( + "-diffmah_drn", help="input drn", type=str, default=smhm_utils.BEBOP_GALAC + ) + parser.add_argument( + "-diffstar_drn", + help="input drn", + type=str, + default=smhm_utils.BEBOP_GALAC, + ) + + parser.add_argument("-outdrn", help="output directory", type=str) + parser.add_argument( + "-sfh_type", + help="Type of star formation histories", + choices=["in_situ", "in_plus_ex_situ"], + default="in_situ", + ) + parser.add_argument( + "-z_bins", + nargs="+", + type=float, + help="List of redshift bins", + default=smhm_utils.Z_BINS, + ) + + args = parser.parse_args() + + outdrn = args.outdrn + diffmah_drn = args.diffmah_drn + diffstar_drn = args.diffstar_drn + sfh_type = args.sfh_type + + redshift_targets = args.z_bins + nz, nm = len(redshift_targets), smhm_utils.LOGMH_BINS.size - 1 + nmstar = len(smhm_utils.LOGMSTAR_BINS_PDF) - 1 + nssfr = len(smhm_utils.LOGSSFR_BINS_PDF) - 1 + + haloes_data = [] + print("Beginning loop over subvolumes...\n") + + start = time() + _res = smhm_utils.create_target_data( + sfh_type, redshift_targets, diffmah_drn=diffmah_drn, diffstar_drn=diffstar_drn + ) + ( + wcounts_i, + whist_i, + counts_i, + hist_i, + age_targets, + haloes, + counts_cen_i, + counts_sat_i, + ) = _res + + ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) = haloes + + _res = smhm_utils.create_pdf_target_data( + sfh_type, redshift_targets, diffmah_drn=diffmah_drn, diffstar_drn=diffstar_drn + ) + + fnout = os.path.join(outdrn, TMP_OUTPATH.format(rank)) + with h5py.File(fnout, "w") as hdfout: + hdfout["wcounts_i"] = wcounts_i + hdfout["whist_i"] = whist_i + hdfout["counts_i"] = counts_i + hdfout["hist_i"] = hist_i + hdfout["age_targets"] = age_targets + hdfout["counts_cen_i"] = counts_cen_i + hdfout["counts_sat_i"] = counts_sat_i + hdfout["mstar_wcounts_i"] = _res[0] + hdfout["mstar_counts_i"] = _res[1] + hdfout["mstar_ssfr_wcounts_cent_i"] = _res[2] + hdfout["mstar_ssfr_wcounts_sat_i"] = _res[3] + + hdfout["logmh_id"] = logmh_id + hdfout["logmh_val"] = logmh_val + hdfout["mah_params_samp"] = mah_params_samp + hdfout["ms_params_samp"] = ms_params_samp + hdfout["q_params_samp"] = q_params_samp + hdfout["upid_samp"] = upid_samp + hdfout["tobs_id"] = tobs_id + hdfout["tobs_val"] = tobs_val + hdfout["redshift_val"] = redshift_val + + end = time() + runtime = end - start + print( + f"...computed sumstat counts for subvolume {rank}", + "Time: %.2f seconds." % (end - start), + ) + + comm.Barrier() + + if rank == 0: + print("Collecting all data in rank 0.") + start = time() + + wcounts = np.zeros((nz, nm)) + whist = np.zeros_like(wcounts) + counts = np.zeros_like(wcounts) + hist = np.zeros_like(wcounts) + counts_cen = np.zeros_like(wcounts) + counts_sat = np.zeros_like(wcounts) + + mstar_wcounts = np.zeros((nz, nm, nmstar)) + mstar_counts = np.zeros((nz, nm, nmstar)) + + mstar_ssfr_wcounts_cent = np.zeros((nz, nm, nmstar, nssfr)) + mstar_ssfr_wcounts_sat = np.zeros((nz, nm, nmstar, nssfr)) + + for i in range(1): + fnout = os.path.join(outdrn, TMP_OUTPATH.format(i)) + with h5py.File(fnout, "r") as hdfout: + wcounts = wcounts + hdfout["wcounts_i"][:] + whist = whist + hdfout["whist_i"][:] + counts = counts + hdfout["counts_i"][:] + hist = hist + hdfout["hist_i"][:] + counts_cen = counts_cen + hdfout["counts_cen_i"][:] + counts_sat = counts_sat + hdfout["counts_sat_i"][:] + mstar_wcounts += hdfout["mstar_wcounts_i"][:] + mstar_counts += hdfout["mstar_counts_i"][:] + mstar_ssfr_wcounts_cent += hdfout["mstar_ssfr_wcounts_cent_i"][:] + mstar_ssfr_wcounts_sat += hdfout["mstar_ssfr_wcounts_sat_i"][:] + + haloes_data.append( + ( + hdfout["logmh_id"][:], + hdfout["logmh_val"][:], + hdfout["mah_params_samp"][:], + hdfout["ms_params_samp"][:], + hdfout["q_params_samp"][:], + hdfout["upid_samp"][:], + hdfout["tobs_id"][:], + hdfout["tobs_val"][:], + hdfout["redshift_val"][:], + ) + ) + + sampled_haloes = smhm_utils.concatenate_samples_haloes(haloes_data) + end = time() + runtime = end - start + print("Ended collecting data. Time: %.2f seconds." % (end - start)) + + print("Saving final target data...") + + fnout = os.path.join(outdrn, "smdpl_smhm.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["counts_diff"] = wcounts + hdfout["hist_diff"] = whist + hdfout["counts"] = counts + hdfout["hist"] = hist + hdfout["counts_cen"] = counts_cen + hdfout["counts_sat"] = counts_sat + hdfout["smhm_diff"] = whist / wcounts + hdfout["smhm"] = hist / counts + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + + ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) = sampled_haloes + + fnout = os.path.join(outdrn, "smdpl_smhm_samples_haloes.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["logmh_id"] = logmh_id + hdfout["logmh_val"] = logmh_val + hdfout["mah_params_samp"] = mah_params_samp + hdfout["ms_params_samp"] = ms_params_samp + hdfout["q_params_samp"] = q_params_samp + hdfout["upid_samp"] = upid_samp + hdfout["tobs_id"] = tobs_id + hdfout["tobs_val"] = tobs_val + hdfout["redshift_val"] = redshift_val + + fnout = os.path.join(outdrn, "smdpl_mstar_ssfr.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["mstar_wcounts"] = mstar_wcounts + hdfout["mstar_counts"] = mstar_counts + hdfout["mstar_ssfr_wcounts_cent"] = mstar_ssfr_wcounts_cent + hdfout["mstar_ssfr_wcounts_sat"] = mstar_ssfr_wcounts_sat + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["logmstar_bins_pdf"] = smhm_utils.LOGMSTAR_BINS_PDF + hdfout["logssfr_bins_pdf"] = smhm_utils.LOGSSFR_BINS_PDF + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + + # clean up all temporary data + bnpat = os.path.join(outdrn, "_tmp_subvol_*") + command = "rm " + bnpat + subprocess.os.system(command) diff --git a/scripts/diffstarpop_scripts/measure_smhm_smdpl_script_mpi_mgash.py b/scripts/diffstarpop_scripts/measure_smhm_smdpl_script_mpi_mgash.py new file mode 100644 index 0000000..34a6247 --- /dev/null +++ b/scripts/diffstarpop_scripts/measure_smhm_smdpl_script_mpi_mgash.py @@ -0,0 +1,291 @@ +"""This module tabulates for SMDPL""" + +import argparse +import os +from time import time +import subprocess + +import h5py +import numpy as np +import gc +import re + +import smhm_utils_smdpl_mgash as smhm_utils + +from mpi4py import MPI + + +if __name__ == "__main__": + comm = MPI.COMM_WORLD + rank, nranks = comm.Get_rank(), comm.Get_size() + + parser = argparse.ArgumentParser() + parser.add_argument( + "-n_subvol_max", + help="Last subvolume", + type=int, + default=smhm_utils.N_SUBVOL_SMDPL, + ) + parser.add_argument( + "-diffmah_drn", + help="input drn", + type=str, + default=smhm_utils.LCRC_NOMERGING_DIFFMAH_DRN, + ) + parser.add_argument( + "-diffstar_drn", + help="input drn", + type=str, + default=smhm_utils.LCRC_NOMERGING_DIFFSTAR_DRN, + ) + parser.add_argument( + "-sim_name", + help="Simulation name", + choices=["DR1", "DR1_nomerging", "other"], + default="DR1_nomerging", + ) + parser.add_argument( + "-z_bins", + nargs="+", + type=float, + help="List of redshift bins", + default=smhm_utils.Z_BINS, + ) + + parser.add_argument("-outdrn", help="output directory", type=str, default="") + args = parser.parse_args() + n_subvol_max = args.n_subvol_max + outdrn = args.outdrn + sim_name = args.sim_name + + if sim_name == "DR1_nomerging": + diffmah_drn = smhm_utils.LCRC_NOMERGING_DIFFMAH_DRN + diffstar_drn = smhm_utils.LCRC_NOMERGING_DIFFSTAR_DRN + binaries_drn = smhm_utils.LCRC_NOMERGING_BINARIES_DRN + diffstar_bnpat = smhm_utils.LCRC_NOMERGING_diffstar_bnpat + elif sim_name == "DR1": + diffmah_drn = smhm_utils.LCRC_DR1_DIFFMAH_DRN + diffstar_drn = smhm_utils.LCRC_DR1_DIFFSTAR_DRN + binaries_drn = smhm_utils.LCRC_DR1_BINARIES_DRN + diffstar_bnpat = smhm_utils.LCRC_DR1_diffstar_bnpat + else: + diffmah_drn = args.diffmah_drn + diffstar_drn = args.diffstar_drn + binaries_drn = smhm_utils.LCRC_NOMERGING_BINARIES_DRN + diffstar_bnpat = smhm_utils.LCRC_NOMERGING_diffstar_bnpat + + # redshift_targets = np.concatenate((np.arange(0,1,0.1), np.arange(1, 2.1, 0.5))) + redshift_targets = args.z_bins + nz, nm = len(redshift_targets), smhm_utils.LOGMH_BINS.size - 1 + nmstar = len(smhm_utils.LOGMSTAR_BINS_PDF) - 1 + nssfr = len(smhm_utils.LOGSSFR_BINS_PDF) - 1 + + # see which subvolumes are available + # Replace the '{}' with regex to match 1 to 3 digits + # Match filenames that have the 'pattern' + regex_str = re.escape(diffstar_bnpat).replace(r"\{\}", r"(\d{1,3})") + pattern = re.compile(f"^{regex_str}$") + matching_files = [f for f in os.listdir(diffstar_drn) if pattern.match(f)] + subvol_avail = len(matching_files) + subvols = [x.split("_")[-1].split(".")[0] for x in matching_files] + subvols = np.sort(np.array(subvols).astype(int)) + subvols_arr = np.array_split(subvols, nranks)[rank] + n_subvol_smdpl = len(subvols) + subvol_used = np.zeros(n_subvol_max).astype(int) + + haloes_data = [] + print("Beginning loop over subvolumes...\n") + + for i in subvols_arr: + gc.collect() + try: + start = time() + _res = smhm_utils.create_target_data( + i, + sim_name, + n_subvol_smdpl, + redshift_targets=redshift_targets, + binaries_drn=binaries_drn, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + diffstar_bnpat=diffstar_bnpat, + ) + ( + wcounts_i, + whist_i, + counts_i, + hist_i, + age_targets, + haloes, + counts_cen_i, + counts_sat_i, + ) = _res + + ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) = haloes + + _res = smhm_utils.create_pdf_target_data( + i, + sim_name, + redshift_targets, + binaries_drn=binaries_drn, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + diffstar_bnpat=diffstar_bnpat, + ) + + fnout = os.path.join(outdrn, "_tmp_subvol_%d_smdpl_smhm.h5" % i) + with h5py.File(fnout, "w") as hdfout: + hdfout["wcounts_i"] = wcounts_i + hdfout["whist_i"] = whist_i + hdfout["counts_i"] = counts_i + hdfout["hist_i"] = hist_i + hdfout["age_targets"] = age_targets + hdfout["counts_cen_i"] = counts_cen_i + hdfout["counts_sat_i"] = counts_sat_i + hdfout["mstar_wcounts_i"] = _res[0] + hdfout["mstar_counts_i"] = _res[1] + hdfout["mstar_ssfr_wcounts_cent_i"] = _res[2] + hdfout["mstar_ssfr_wcounts_sat_i"] = _res[3] + + hdfout["logmh_id"] = logmh_id + hdfout["logmh_val"] = logmh_val + hdfout["mah_params_samp"] = mah_params_samp + hdfout["ms_params_samp"] = ms_params_samp + hdfout["q_params_samp"] = q_params_samp + hdfout["upid_samp"] = upid_samp + hdfout["tobs_id"] = tobs_id + hdfout["tobs_val"] = tobs_val + hdfout["redshift_val"] = redshift_val + + end = time() + runtime = end - start + print( + f"...computed sumstat counts for subvolume {i}", + "Time: %.2f seconds." % (end - start), + ) + except FileNotFoundError: + print(f"...NO sumstat counts for subvolume {i}") + pass + + comm.Barrier() + + if rank == 0: + print("Collecting all data in rank 0.") + start = time() + + wcounts = np.zeros((nz, nm)) + whist = np.zeros_like(wcounts) + counts = np.zeros_like(wcounts) + hist = np.zeros_like(wcounts) + counts_cen = np.zeros_like(wcounts) + counts_sat = np.zeros_like(wcounts) + + mstar_wcounts = np.zeros((nz, nm, nmstar)) + mstar_counts = np.zeros((nz, nm, nmstar)) + + mstar_ssfr_wcounts_cent = np.zeros((nz, nm, nmstar, nssfr)) + mstar_ssfr_wcounts_sat = np.zeros((nz, nm, nmstar, nssfr)) + + for i in subvols: + fnout = os.path.join(outdrn, "_tmp_subvol_%d_smdpl_smhm.h5" % i) + with h5py.File(fnout, "r") as hdfout: + wcounts = wcounts + hdfout["wcounts_i"][:] + whist = whist + hdfout["whist_i"][:] + counts = counts + hdfout["counts_i"][:] + hist = hist + hdfout["hist_i"][:] + counts_cen = counts_cen + hdfout["counts_cen_i"][:] + counts_sat = counts_sat + hdfout["counts_sat_i"][:] + subvol_used[i] = 1 + mstar_wcounts += hdfout["mstar_wcounts_i"][:] + mstar_counts += hdfout["mstar_counts_i"][:] + mstar_ssfr_wcounts_cent += hdfout["mstar_ssfr_wcounts_cent_i"][:] + mstar_ssfr_wcounts_sat += hdfout["mstar_ssfr_wcounts_sat_i"][:] + + haloes_data.append( + ( + hdfout["logmh_id"][:], + hdfout["logmh_val"][:], + hdfout["mah_params_samp"][:], + hdfout["ms_params_samp"][:], + hdfout["q_params_samp"][:], + hdfout["upid_samp"][:], + hdfout["tobs_id"][:], + hdfout["tobs_val"][:], + hdfout["redshift_val"][:], + ) + ) + + sampled_haloes = smhm_utils.concatenate_samples_haloes(haloes_data) + end = time() + runtime = end - start + print("Ended collecting data. Time: %.2f seconds." % (end - start)) + + print("Saving final target data...") + + fnout = os.path.join(outdrn, "smdpl_smhm.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["counts_diff"] = wcounts + hdfout["hist_diff"] = whist + hdfout["counts"] = counts + hdfout["hist"] = hist + hdfout["counts_cen"] = counts_cen + hdfout["counts_sat"] = counts_sat + hdfout["smhm_diff"] = whist / wcounts + hdfout["smhm"] = hist / counts + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["subvol_used"] = subvol_used + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + + ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) = sampled_haloes + + fnout = os.path.join(outdrn, "smdpl_smhm_samples_haloes.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["logmh_id"] = logmh_id + hdfout["logmh_val"] = logmh_val + hdfout["mah_params_samp"] = mah_params_samp + hdfout["ms_params_samp"] = ms_params_samp + hdfout["q_params_samp"] = q_params_samp + hdfout["upid_samp"] = upid_samp + hdfout["tobs_id"] = tobs_id + hdfout["tobs_val"] = tobs_val + hdfout["redshift_val"] = redshift_val + + fnout = os.path.join(outdrn, "smdpl_mstar_ssfr.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["mstar_wcounts"] = mstar_wcounts + hdfout["mstar_counts"] = mstar_counts + hdfout["mstar_ssfr_wcounts_cent"] = mstar_ssfr_wcounts_cent + hdfout["mstar_ssfr_wcounts_sat"] = mstar_ssfr_wcounts_sat + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["logmstar_bins_pdf"] = smhm_utils.LOGMSTAR_BINS_PDF + hdfout["logssfr_bins_pdf"] = smhm_utils.LOGSSFR_BINS_PDF + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + + n_used = subvol_used.sum() + + # clean up all temporary data + bnpat = os.path.join(outdrn, "_tmp_subvol_*") + command = "rm " + bnpat + subprocess.os.system(command) diff --git a/scripts/diffstarpop_scripts/measure_smhm_tng_script_mpi_mgash.py b/scripts/diffstarpop_scripts/measure_smhm_tng_script_mpi_mgash.py new file mode 100644 index 0000000..97ab9da --- /dev/null +++ b/scripts/diffstarpop_scripts/measure_smhm_tng_script_mpi_mgash.py @@ -0,0 +1,229 @@ +"""This module tabulates for SMDPL""" + +import argparse +import os +from time import time +import subprocess + +import h5py +import numpy as np +import gc + +import smhm_utils_tng_mgash as smhm_utils + +from mpi4py import MPI + +TMP_OUTPATH = "_tmp_subvol_{0}_tng_smhm.h5" + +if __name__ == "__main__": + comm = MPI.COMM_WORLD + rank, nranks = comm.Get_rank(), comm.Get_size() + + parser = argparse.ArgumentParser() + parser.add_argument( + "-diffmah_drn", help="input drn", type=str, default=smhm_utils.BEBOP_TNG_MAH + ) + parser.add_argument( + "-diffstar_drn", + help="input drn", + type=str, + default=smhm_utils.BEBOP_TNG_SFH, + ) + + parser.add_argument("-outdrn", help="output directory", type=str) + parser.add_argument( + "-nchunks", help="Number of chunks", type=int, default=smhm_utils.NCHUNKS + ) + parser.add_argument( + "-z_bins", + nargs="+", + type=float, + help="List of redshift bins", + default=smhm_utils.Z_BINS, + ) + + args = parser.parse_args() + + outdrn = args.outdrn + diffmah_drn = args.diffmah_drn + diffstar_drn = args.diffstar_drn + nchunks = args.nchunks + + redshift_targets = args.z_bins + nz, nm = len(redshift_targets), smhm_utils.LOGMH_BINS.size - 1 + nmstar = len(smhm_utils.LOGMSTAR_BINS_PDF) - 1 + nssfr = len(smhm_utils.LOGSSFR_BINS_PDF) - 1 + + haloes_data = [] + print("Beginning loop over subvolumes...\n") + + start = time() + _res = smhm_utils.create_target_data( + rank, redshift_targets, diffmah_drn=diffmah_drn, diffstar_drn=diffstar_drn + ) + ( + wcounts_i, + whist_i, + counts_i, + hist_i, + age_targets, + haloes, + counts_cen_i, + counts_sat_i, + ) = _res + + ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) = haloes + + _res = smhm_utils.create_pdf_target_data( + rank, redshift_targets, diffmah_drn=diffmah_drn, diffstar_drn=diffstar_drn + ) + + fnout = os.path.join(outdrn, TMP_OUTPATH.format(rank)) + with h5py.File(fnout, "w") as hdfout: + hdfout["wcounts_i"] = wcounts_i + hdfout["whist_i"] = whist_i + hdfout["counts_i"] = counts_i + hdfout["hist_i"] = hist_i + hdfout["age_targets"] = age_targets + hdfout["counts_cen_i"] = counts_cen_i + hdfout["counts_sat_i"] = counts_sat_i + hdfout["mstar_wcounts_i"] = _res[0] + hdfout["mstar_counts_i"] = _res[1] + hdfout["mstar_ssfr_wcounts_cent_i"] = _res[2] + hdfout["mstar_ssfr_wcounts_sat_i"] = _res[3] + + hdfout["logmh_id"] = logmh_id + hdfout["logmh_val"] = logmh_val + hdfout["mah_params_samp"] = mah_params_samp + hdfout["ms_params_samp"] = ms_params_samp + hdfout["q_params_samp"] = q_params_samp + hdfout["upid_samp"] = upid_samp + hdfout["tobs_id"] = tobs_id + hdfout["tobs_val"] = tobs_val + hdfout["redshift_val"] = redshift_val + + end = time() + runtime = end - start + print( + f"...computed sumstat counts for subvolume {rank}", + "Time: %.2f seconds." % (end - start), + ) + + comm.Barrier() + + if rank == 0: + print("Collecting all data in rank 0.") + start = time() + + wcounts = np.zeros((nz, nm)) + whist = np.zeros_like(wcounts) + counts = np.zeros_like(wcounts) + hist = np.zeros_like(wcounts) + counts_cen = np.zeros_like(wcounts) + counts_sat = np.zeros_like(wcounts) + + mstar_wcounts = np.zeros((nz, nm, nmstar)) + mstar_counts = np.zeros((nz, nm, nmstar)) + + mstar_ssfr_wcounts_cent = np.zeros((nz, nm, nmstar, nssfr)) + mstar_ssfr_wcounts_sat = np.zeros((nz, nm, nmstar, nssfr)) + + for i in range(smhm_utils.NCHUNKS): + fnout = os.path.join(outdrn, TMP_OUTPATH.format(i)) + with h5py.File(fnout, "r") as hdfout: + wcounts = wcounts + hdfout["wcounts_i"][:] + whist = whist + hdfout["whist_i"][:] + counts = counts + hdfout["counts_i"][:] + hist = hist + hdfout["hist_i"][:] + counts_cen = counts_cen + hdfout["counts_cen_i"][:] + counts_sat = counts_sat + hdfout["counts_sat_i"][:] + mstar_wcounts += hdfout["mstar_wcounts_i"][:] + mstar_counts += hdfout["mstar_counts_i"][:] + mstar_ssfr_wcounts_cent += hdfout["mstar_ssfr_wcounts_cent_i"][:] + mstar_ssfr_wcounts_sat += hdfout["mstar_ssfr_wcounts_sat_i"][:] + + haloes_data.append( + ( + hdfout["logmh_id"][:], + hdfout["logmh_val"][:], + hdfout["mah_params_samp"][:], + hdfout["ms_params_samp"][:], + hdfout["q_params_samp"][:], + hdfout["upid_samp"][:], + hdfout["tobs_id"][:], + hdfout["tobs_val"][:], + hdfout["redshift_val"][:], + ) + ) + + sampled_haloes = smhm_utils.concatenate_samples_haloes(haloes_data) + end = time() + runtime = end - start + print("Ended collecting data. Time: %.2f seconds." % (end - start)) + + print("Saving final target data...") + + fnout = os.path.join(outdrn, "smdpl_smhm.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["counts_diff"] = wcounts + hdfout["hist_diff"] = whist + hdfout["counts"] = counts + hdfout["hist"] = hist + hdfout["counts_cen"] = counts_cen + hdfout["counts_sat"] = counts_sat + hdfout["smhm_diff"] = whist / wcounts + hdfout["smhm"] = hist / counts + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + + ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) = sampled_haloes + + fnout = os.path.join(outdrn, "smdpl_smhm_samples_haloes.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["logmh_id"] = logmh_id + hdfout["logmh_val"] = logmh_val + hdfout["mah_params_samp"] = mah_params_samp + hdfout["ms_params_samp"] = ms_params_samp + hdfout["q_params_samp"] = q_params_samp + hdfout["upid_samp"] = upid_samp + hdfout["tobs_id"] = tobs_id + hdfout["tobs_val"] = tobs_val + hdfout["redshift_val"] = redshift_val + + fnout = os.path.join(outdrn, "smdpl_mstar_ssfr.h5") + with h5py.File(fnout, "w") as hdfout: + hdfout["mstar_wcounts"] = mstar_wcounts + hdfout["mstar_counts"] = mstar_counts + hdfout["mstar_ssfr_wcounts_cent"] = mstar_ssfr_wcounts_cent + hdfout["mstar_ssfr_wcounts_sat"] = mstar_ssfr_wcounts_sat + hdfout["logmh_bins"] = smhm_utils.LOGMH_BINS + hdfout["logmstar_bins_pdf"] = smhm_utils.LOGMSTAR_BINS_PDF + hdfout["logssfr_bins_pdf"] = smhm_utils.LOGSSFR_BINS_PDF + hdfout["redshift_targets"] = redshift_targets + hdfout["age_targets"] = age_targets + + # clean up all temporary data + bnpat = os.path.join(outdrn, "_tmp_subvol_*") + command = "rm " + bnpat + subprocess.os.system(command) diff --git a/scripts/diffstarpop_scripts/smhm_utils_galacticus_mgash.py b/scripts/diffstarpop_scripts/smhm_utils_galacticus_mgash.py new file mode 100644 index 0000000..395602f --- /dev/null +++ b/scripts/diffstarpop_scripts/smhm_utils_galacticus_mgash.py @@ -0,0 +1,516 @@ +""" """ + +import os + +import h5py +import numpy as np +from diffmah.diffmah_kernels import DEFAULT_MAH_PARAMS, mah_halopop +from diffsky.diffndhist import tw_ndhist_weighted +from diffstar.defaults_mgash_model import DEFAULT_DIFFSTAR_PARAMS, LGT0, T_TABLE_MIN +from diffstar.sfh_model_mgash import calc_sfh_galpop +from diffstar.data_loaders.load_galacticus_sfh import load_galacticus_diffstar_data +from scipy.stats import binned_statistic +from astropy.cosmology import Planck13 +from umachine_pyio.load_mock import load_mock_from_binaries + +BEBOP_GALAC = "/lcrc/project/halotools/Galacticus/diffstarpop_data/" +BEBOP_GALAC_SFH = "/lcrc/project/halotools/alarcon/results/mgash/Galacticus/" + +LGMH_MIN, LGMH_MAX = 11, 14.50 +N_LGM_BINS = 12 +LOGMH_BINS = np.linspace(LGMH_MIN, LGMH_MAX, N_LGM_BINS) +LOGMSTAR_BINS_PDF = np.linspace(7.0, 13.0, 26) +LOGSSFR_BINS_PDF = np.linspace(-13, -8, 30) + +Z_BINS = [0.0, 0.5, 1.0, 1.5, 2.0] + +T0_SMDPL = 13.7976158 + +N_HALOS_MAX = 20_000 + + +def load_diffstar_sfh_tables( + sfh_type, + diffmah_drn=BEBOP_GALAC, + diffstar_drn=BEBOP_GALAC, + lgt0=LGT0, + n_times=200, +): + + data = load_galacticus_diffstar_data( + BEBOP_GALAC, diffstar_drn=diffstar_drn, diffmah_drn=diffmah_drn + ) + + diffmah_data = data.diffmah_fit_data + if sfh_type == "in_situ": + diffstar_data = data.diffstar_in_situ_fit_data + elif sfh_type == "in_plus_ex_situ": + diffstar_data = data.diffstar_in_plus_ex_situ_fit_data + else: + raise NotImplementedError + + has_fit = ( + (diffmah_data["loss"] > 0.0) + & (diffstar_data["loss"] > 0.0) + & (diffstar_data["success"] == 1) + ) + + is_cen = data.galcus_sfh_data["is_cen"][has_fit] + + mah_params = DEFAULT_MAH_PARAMS._make( + [diffmah_data[key][has_fit] for key in DEFAULT_MAH_PARAMS._fields] + ) + + ms_params = DEFAULT_DIFFSTAR_PARAMS.ms_params._make( + [ + diffstar_data[key][has_fit] + for key in DEFAULT_DIFFSTAR_PARAMS.ms_params._fields + ] + ) + q_params = DEFAULT_DIFFSTAR_PARAMS.q_params._make( + [ + diffstar_data[key][has_fit] + for key in DEFAULT_DIFFSTAR_PARAMS.q_params._fields + ] + ) + + sfh_params = DEFAULT_DIFFSTAR_PARAMS._make((ms_params, q_params)) + + t_0 = 10**lgt0 + t_table = np.linspace(T_TABLE_MIN, t_0, n_times) + + __, log_mah_table = mah_halopop(mah_params, t_table, LGT0) + + sfh_table, smh_table = calc_sfh_galpop( + sfh_params, mah_params, t_table, lgt0=LGT0, return_smh=True + ) + log_sfh_table = np.log10(sfh_table) + log_smh_table = np.log10(smh_table) + log_ssfrh_table = log_sfh_table - log_smh_table + + out = ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + is_cen, + has_fit, + ) + + return out + + +def compute_diff_histograms_atz(logmh_bins, log_mah_table, log_smh_table): + + n_halos = log_smh_table.shape[0] + + nddata = log_mah_table.reshape((-1, 1)) + + sigma = np.mean(np.diff(logmh_bins)) + np.zeros(n_halos) + ndsig = sigma.reshape((-1, 1)) + + ydata = log_smh_table.reshape((-1, 1)) + _ones = np.ones_like(ydata) + + ndbins_lo = logmh_bins[:-1].reshape((-1, 1)) + ndbins_hi = logmh_bins[1:].reshape((-1, 1)) + + whist = tw_ndhist_weighted(nddata, ndsig, ydata, ndbins_lo, ndbins_hi) + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + return wcounts, whist + + +def compute_histograms_atz(logmh_bins, log_mah_table, log_smh_table): + count = binned_statistic( + log_mah_table, values=log_smh_table, bins=logmh_bins, statistic="count" + )[0] + whist = binned_statistic( + log_mah_table, values=log_smh_table, bins=logmh_bins, statistic="sum" + )[0] + return count, whist + + +def get_redshift_from_age(age): + z_table = np.linspace(0, 10, 2000)[::-1] + t_table = Planck13.age(z_table).value + redshift_from_age = np.interp(age, t_table, z_table) + return redshift_from_age + + +def return_target_redshfit_index(t_table, redshift_targets): + z_table = get_redshift_from_age(t_table) + return np.digitize(redshift_targets, z_table) + + +def sample_halos( + logmh_bins, + log_mah, + log_smh, + mah_params, + ms_params, + q_params, + upid, +): + ndbins_lo = logmh_bins[:-1] + ndbins_hi = logmh_bins[1:] + arange_arr = np.arange(len(log_mah)) + logmh_id = [] + logmh_val = [] + mah_params_samp = [] + ms_params_samp = [] + q_params_samp = [] + upid_samp = [] + + mah_params = np.array(mah_params).T + ms_params = np.array(ms_params).T + q_params = np.array(q_params).T + + for i in range(len(ndbins_lo)): + sel = (log_mah >= ndbins_lo[i]) & (log_mah < ndbins_hi[i]) + if sel.sum() == 0: + continue + sel_num = int(min(N_HALOS_MAX, sel.sum())) + sel = np.random.choice(arange_arr[sel], sel_num, replace=False) + logmh_id.append(np.ones_like(sel) * i) + logmh_val.append(np.ones_like(sel) * ((ndbins_lo[i] + ndbins_hi[i]) / 2.0)) + mah_params_samp.append(mah_params[sel]) + ms_params_samp.append(ms_params[sel]) + q_params_samp.append(q_params[sel]) + upid_samp.append(upid[sel]) + + logmh_id = np.concatenate(logmh_id) + logmh_val = np.concatenate(logmh_val) + mah_params_samp = np.concatenate(mah_params_samp) + ms_params_samp = np.concatenate(ms_params_samp) + q_params_samp = np.concatenate(q_params_samp) + upid_samp = np.concatenate(upid_samp) + + mah_params_samp = DEFAULT_MAH_PARAMS._make(mah_params_samp.T) + ms_params_samp = DEFAULT_DIFFSTAR_PARAMS.ms_params._make(ms_params_samp.T) + q_params_samp = DEFAULT_DIFFSTAR_PARAMS.q_params._make(q_params_samp.T) + out = ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + ) + return out + + +def create_target_data( + sfh_type, + redshift_targets=Z_BINS, + diffmah_drn=BEBOP_GALAC, + diffstar_drn=BEBOP_GALAC, + lgt0=LGT0, + logmh_bins=LOGMH_BINS, +): + _res = load_diffstar_sfh_tables( + sfh_type, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + lgt0=lgt0, + ) + ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + is_cen, + has_fit, + ) = _res + + _path = os.path.join(diffmah_drn, "tarr_disk.npy") + tarr = np.load(_path) + + tids = return_target_redshfit_index(t_table, redshift_targets) + tids_galac = return_target_redshfit_index(tarr, redshift_targets) + + nz, nm = len(redshift_targets), len(logmh_bins) - 1 + + wcounts_zid = np.zeros((nz, nm)) + whist_zid = np.zeros((nz, nm)) + counts_zid = np.zeros((nz, nm)) + hist_zid = np.zeros((nz, nm)) + + counts_zid_cen = np.zeros((nz, nm)) + counts_zid_sat = np.zeros((nz, nm)) + + is_central = is_cen == 1 + is_satell = is_cen == 0 + + for i, tid in enumerate(tids): + _res = compute_diff_histograms_atz( + logmh_bins, log_mah_table[:, tid], log_smh_table[:, tid] + ) + wcounts_zid[i] = _res[0] + whist_zid[i] = _res[1] + + _res = compute_histograms_atz( + logmh_bins, log_mah_table[:, tid], log_smh_table[:, tid] + ) + counts_zid[i] = _res[0] + hist_zid[i] = _res[1] + + counts_zid_cen[i] = compute_histograms_atz( + logmh_bins, + log_mah_table[:, tid][is_central], + log_smh_table[:, tid][is_central], + )[0] + counts_zid_sat[i] = compute_histograms_atz( + logmh_bins, + log_mah_table[:, tid][is_satell], + log_smh_table[:, tid][is_satell], + )[0] + + data = [] + + final_upid = is_cen.copy() + final_upid[is_central] = -1 + + for i, tid in enumerate(tids): + _res = sample_halos( + logmh_bins, + log_mah_table[:, tid], + log_smh_table[:, tid], + mah_params, + ms_params, + q_params, + final_upid, + ) + data.append( + ( + *_res, + np.ones_like(_res[0]) * i, + np.ones_like(_res[0]) * t_table[tid], + np.ones_like(_res[0]) * redshift_targets[i], + ) + ) + + haloes = concatenate_samples_haloes(data) + + out = ( + wcounts_zid, + whist_zid, + counts_zid, + hist_zid, + t_table[tids], + haloes, + counts_zid_cen, + counts_zid_sat, + ) + + return out + + +def concatenate_samples_haloes(data): + logmh_id = [] + logmh_val = [] + redshift_val = [] + tobs_id = [] + tobs_val = [] + mah_params_samp = [] + ms_params_samp = [] + q_params_samp = [] + upid_samp = [] + + for subdata in data: + + logmh_id.append(subdata[0]) + logmh_val.append(subdata[1]) + mah_params_samp.append(np.array(subdata[2]).T) + ms_params_samp.append(np.array(subdata[3]).T) + q_params_samp.append(np.array(subdata[4]).T) + upid_samp.append(subdata[5]) + tobs_id.append(subdata[6]) + tobs_val.append(subdata[7]) + redshift_val.append(subdata[8]) + + logmh_id = np.concatenate(logmh_id) + logmh_val = np.concatenate(logmh_val) + mah_params_samp = np.concatenate(mah_params_samp) + ms_params_samp = np.concatenate(ms_params_samp) + q_params_samp = np.concatenate(q_params_samp) + upid_samp = np.concatenate(upid_samp) + tobs_id = np.concatenate(tobs_id) + tobs_val = np.concatenate(tobs_val) + redshift_val = np.concatenate(redshift_val) + + mah_params_samp = DEFAULT_MAH_PARAMS._make(mah_params_samp.T) + ms_params_samp = DEFAULT_DIFFSTAR_PARAMS.ms_params._make(ms_params_samp.T) + q_params_samp = DEFAULT_DIFFSTAR_PARAMS.q_params._make(q_params_samp.T) + + haloes = ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) + return haloes + + +def compute_diff_histograms_mstar_atmobs_z( + logmstar_bins, + log_smh_table, +): + + n_halos = log_smh_table.shape[0] + + nddata = log_smh_table.reshape((-1, 1)) + + sigma = np.mean(np.diff(logmstar_bins)) + np.zeros(n_halos) + ndsig = sigma.reshape((-1, 1)) + + ydata = log_smh_table.reshape((-1, 1)) + _ones = np.ones_like(ydata) + + ndbins_lo = logmstar_bins[:-1].reshape((-1, 1)) + ndbins_hi = logmstar_bins[1:].reshape((-1, 1)) + + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + counts = np.histogram(ydata, logmstar_bins)[0] + + return wcounts, counts + + +def compute_diff_histograms_mstar_ssfr_atz( + log_smh_table, + log_ssfr_table, + ndbins_lo, + ndbins_hi, + logmstar_bins, + logssfr_bins, +): + n_halos = log_smh_table.shape[0] + + sigma_mstar = np.mean(np.diff(logmstar_bins)) + np.zeros(n_halos) + sigma_ssfr = np.mean(np.diff(logssfr_bins)) + np.zeros(n_halos) + + ndsig = np.ones((n_halos, 2)) + ndsig[:, 0] = sigma_mstar + ndsig[:, 1] = sigma_ssfr + + nddata = np.array([log_smh_table, log_ssfr_table]).T + + _ones = np.ones(n_halos) + + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + return wcounts + + +def create_pdf_target_data( + sfh_type, + redshift_targets=Z_BINS, + diffmah_drn=BEBOP_GALAC, + diffstar_drn=BEBOP_GALAC, + lgt0=LGT0, + logmh_bins=LOGMH_BINS, + logmstar_bins_pdf=LOGMSTAR_BINS_PDF, + logssfr_bins_pdf=LOGSSFR_BINS_PDF, +): + _res = load_diffstar_sfh_tables( + sfh_type, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + lgt0=lgt0, + ) + ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + is_cen, + has_fit, + ) = _res + + log_ssfrh_table = np.clip(log_ssfrh_table, -12.0, None) + + _path = os.path.join(diffmah_drn, "tarr_disk.npy") + tarr = np.load(_path) + + tids = return_target_redshfit_index(t_table, redshift_targets) + tids_galac = return_target_redshfit_index(tarr, redshift_targets) + + nz, nm = len(redshift_targets), len(logmh_bins) - 1 + nmstar = len(logmstar_bins_pdf) - 1 + nssfr = len(logssfr_bins_pdf) - 1 + + ndbins_lo = [] + ndbins_hi = [] + for i in range(len(logmstar_bins_pdf) - 1): + for j in range(len(logssfr_bins_pdf) - 1): + ndbins_lo.append([logmstar_bins_pdf[i], logssfr_bins_pdf[j]]) + ndbins_hi.append([logmstar_bins_pdf[i + 1], logssfr_bins_pdf[j + 1]]) + ndbins_lo = np.array(ndbins_lo) + ndbins_hi = np.array(ndbins_hi) + + mstar_wcounts = np.zeros((nz, nm, nmstar)) + mstar_counts = np.zeros((nz, nm, nmstar)) + + mstar_ssfr_wcounts_cent = np.zeros((nz, nm, nmstar, nssfr)) + mstar_ssfr_wcounts_sat = np.zeros((nz, nm, nmstar, nssfr)) + + is_central = is_cen == 1 + is_satell = is_cen == 0 + for i, tid in enumerate(tids): + + for j in range(nm): + mobs_sel = (log_mah_table[:, tid] > logmh_bins[j]) & ( + log_mah_table[:, tid] < logmh_bins[j + 1] + ) + _res = compute_diff_histograms_mstar_atmobs_z( + logmstar_bins_pdf, + log_smh_table[mobs_sel][:, tid], + ) + mstar_wcounts[i, j] = _res[0] + mstar_counts[i, j] = _res[1] + + mobs_sel_cent = mobs_sel & is_central + _res = compute_diff_histograms_mstar_ssfr_atz( + log_smh_table[mobs_sel_cent][:, tid], + log_ssfrh_table[mobs_sel_cent][:, tid], + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + ) + mstar_ssfr_wcounts_cent[i, j] = _res.reshape((nmstar, nssfr)) + + mobs_sel_sat = mobs_sel & is_satell + _res = compute_diff_histograms_mstar_ssfr_atz( + log_smh_table[mobs_sel_sat][:, tid], + log_ssfrh_table[mobs_sel_sat][:, tid], + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + ) + mstar_ssfr_wcounts_sat[i, j] = _res.reshape((nmstar, nssfr)) + + out = ( + mstar_wcounts, + mstar_counts, + mstar_ssfr_wcounts_cent, + mstar_ssfr_wcounts_sat, + ) + + return out diff --git a/scripts/diffstarpop_scripts/smhm_utils_smdpl_mgash.py b/scripts/diffstarpop_scripts/smhm_utils_smdpl_mgash.py new file mode 100644 index 0000000..aa4c36f --- /dev/null +++ b/scripts/diffstarpop_scripts/smhm_utils_smdpl_mgash.py @@ -0,0 +1,650 @@ +""" """ + +import os +import re +import h5py +import numpy as np +from diffmah.diffmah_kernels import DEFAULT_MAH_PARAMS, mah_halopop +from diffsky.diffndhist import tw_ndhist_weighted +from diffstar.defaults_mgash_model import DEFAULT_DIFFSTAR_PARAMS, LGT0, T_TABLE_MIN +from diffstar.sfh_model_mgash import calc_sfh_galpop +from scipy.stats import binned_statistic +from astropy.cosmology import Planck13 +from umachine_pyio.load_mock import load_mock_from_binaries + +LCRC_NOMERGING_DIFFSTAR_DRN = ( + "/lcrc/project/halotools/alarcon/results/mgash/UniverseMachine/DR1_nomerging/" +) +LCRC_NOMERGING_DIFFMAH_DRN = ( + "/lcrc/project/halotools/SMDPL/dr1_no_merging_upidh/diffmah_tpeak_fits/" +) +LCRC_NOMERGING_BINARIES_DRN = ( + "/lcrc/project/halotools/SMDPL/dr1_no_merging_upidh/sfh_binary_catalogs/a_1.000000/" +) + +LCRC_DR1_DIFFSTAR_DRN = ( + "/lcrc/project/halotools/alarcon/results/mgash/UniverseMachine/DR1/" +) +LCRC_DR1_DIFFMAH_DRN = "/lcrc/project/halotools/UniverseMachine/SMDPL/sfh_binaries_dr1_bestfit/diffmah_tpeak_fits/" +LCRC_DR1_BINARIES_DRN = ( + "/lcrc/project/halotools/UniverseMachine/SMDPL/sfh_binaries_dr1_bestfit/a_1.000000/" +) +LCRC_NOMERGING_diffstar_bnpat = "diffstar_fits_subvol_{}.hdf5" +LCRC_DR1_diffstar_bnpat = "diffstar_fits_subvol_{}.hdf5" +LCRC_NOMERGING_diffmah_bnpat = "subvol_{}_diffmah_fits.h5" + +TASSO_DIFFSTAR_DRN = "/Users/aphearin/work/DATA/diffstar_data/SMDPL/" +N_SUBVOL_SMDPL = 576 + +LGMH_MIN, LGMH_MAX = 11, 14.75 +N_LGM_BINS = 12 +LOGMH_BINS = np.linspace(LGMH_MIN, LGMH_MAX, N_LGM_BINS) + +LOGMSTAR_BINS_PDF = np.linspace(7.0, 13.0, 26) +LOGSSFR_BINS_PDF = np.linspace(-13.0, -8.0, 30) + +Z_BINS = [0.0, 0.5, 1.0, 1.5, 2.0] + +T0_SMDPL = 13.7976158 + +N_HALOS_MAX = 20_000 +N_HALOS_PER_SUBVOL = N_HALOS_MAX // N_SUBVOL_SMDPL + + +def _load_flat_hdf5(fn): + data = dict() + with h5py.File(fn, "r") as hdf: + for key in hdf.keys(): + data[key] = hdf[key][...] + return data + + +def return_subvol_str_diffmah(subvol, sim_name, diffstar_drn, diffstar_bnpat): + regex_str = re.escape(diffstar_bnpat).replace(r"\{\}", r"(\d{1,3})") + pattern = re.compile(f"^{regex_str}$") + matching_files = [f for f in os.listdir(diffstar_drn) if pattern.match(f)] + if sim_name == "DR1_nomerging": + subvols = [x.split("_")[1] for x in matching_files] + elif sim_name == "DR1": + subvols = [x.split("_")[-1].split(".")[0] for x in matching_files] + subvols_len = np.array([len(x) for x in subvols]) + + if np.any(subvols_len == 1): + subvol_str = f"{subvol:d}" + elif np.all(subvols_len == subvols_len.max()): + nchar_subvol = subvols_len.max() + subvol_str = f"{subvol:0{nchar_subvol}d}" + return subvol_str + + +def return_subvol_str(subvol, sim_name, diffstar_drn, diffstar_bnpat): + regex_str = re.escape(diffstar_bnpat).replace(r"\{\}", r"(\d{1,3})") + pattern = re.compile(f"^{regex_str}$") + matching_files = [f for f in os.listdir(diffstar_drn) if pattern.match(f)] + subvols = [x.split("_")[-1].split(".")[0] for x in matching_files] + subvols_len = np.array([len(x) for x in subvols]) + + if np.any(subvols_len == 1): + subvol_str = f"{subvol:d}" + elif np.all(subvols_len == subvols_len.max()): + nchar_subvol = subvols_len.max() + subvol_str = f"{subvol:0{nchar_subvol}d}" + return subvol_str + + +def load_diffstar_subvolume( + subvol, + sim_name, + n_subvol_tot=N_SUBVOL_SMDPL, + diffmah_drn=TASSO_DIFFSTAR_DRN, + diffstar_drn=TASSO_DIFFSTAR_DRN, + diffstar_bnpat=LCRC_NOMERGING_diffstar_bnpat, +): + # nchar_subvol = len(str(n_subvol_tot)) + subvol_str = return_subvol_str(subvol, sim_name, diffstar_drn, diffstar_bnpat) + + diffstar_bn = diffstar_bnpat.format(subvol_str) + diffstar_fn = os.path.join(diffstar_drn, diffstar_bn) + diffstar_data = _load_flat_hdf5(diffstar_fn) + + if sim_name == "DR1_nomerging": + subvol_str = return_subvol_str_diffmah( + subvol, sim_name, diffmah_drn, LCRC_NOMERGING_diffmah_bnpat + ) + diffmah_bn = LCRC_NOMERGING_diffmah_bnpat.format(subvol_str).replace( + "diffstar", "diffmah" + ) + elif sim_name == "DR1": + diffmah_bn = diffstar_bn.replace("diffstar", "diffmah") + diffmah_fn = os.path.join(diffmah_drn, diffmah_bn) + diffmah_data = _load_flat_hdf5(diffmah_fn) + + return diffmah_data, diffstar_data + + +def load_diffstar_sfh_tables( + subvol, + sim_name, + n_subvol_tot=N_SUBVOL_SMDPL, + diffmah_drn=TASSO_DIFFSTAR_DRN, + diffstar_drn=TASSO_DIFFSTAR_DRN, + diffstar_bnpat=LCRC_NOMERGING_diffstar_bnpat, + lgt0=LGT0, + n_times=200, +): + diffmah_data, diffstar_data = load_diffstar_subvolume( + subvol, + sim_name, + n_subvol_tot=n_subvol_tot, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + diffstar_bnpat=diffstar_bnpat, + ) + has_fit = (diffmah_data["loss"] > 0.0) & (diffstar_data["success"] == 1) + mah_params = DEFAULT_MAH_PARAMS._make( + [diffmah_data[key][has_fit] for key in DEFAULT_MAH_PARAMS._fields] + ) + + ms_params = DEFAULT_DIFFSTAR_PARAMS.ms_params._make( + [ + diffstar_data[key][has_fit] + for key in DEFAULT_DIFFSTAR_PARAMS.ms_params._fields + ] + ) + q_params = DEFAULT_DIFFSTAR_PARAMS.q_params._make( + [ + diffstar_data[key][has_fit] + for key in DEFAULT_DIFFSTAR_PARAMS.q_params._fields + ] + ) + sfh_params = DEFAULT_DIFFSTAR_PARAMS._make((ms_params, q_params)) + + t_0 = 10**lgt0 + t_table = np.linspace(T_TABLE_MIN, t_0, n_times) + + __, log_mah_table = mah_halopop(mah_params, t_table, LGT0) + + sfh_table, smh_table = calc_sfh_galpop( + sfh_params, mah_params, t_table, lgt0=LGT0, return_smh=True + ) + log_sfh_table = np.log10(sfh_table) + log_smh_table = np.log10(smh_table) + log_ssfrh_table = log_sfh_table - log_smh_table + + out = ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + has_fit, + ) + + return out + + +def compute_weighted_histograms_z0( + subvol, + sim_name, + n_subvol_tot=N_SUBVOL_SMDPL, + diffmah_drn=TASSO_DIFFSTAR_DRN, + diffstar_drn=TASSO_DIFFSTAR_DRN, + diffstar_bnpat=LCRC_NOMERGING_diffstar_bnpat, + lgt0=LGT0, + logmh_bins=LOGMH_BINS, +): + _res = load_diffstar_sfh_tables( + subvol, + sim_name, + n_subvol_tot=n_subvol_tot, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + diffstar_bnpat=diffstar_bnpat, + lgt0=lgt0, + ) + t_table, log_mah_table, log_smh_table, log_ssfrh_table = _res[:4] + + n_halos = log_smh_table.shape[0] + + nddata = log_mah_table[:, -1].reshape((-1, 1)) + + sigma = np.mean(np.diff(logmh_bins)) + np.zeros(n_halos) + ndsig = sigma.reshape((-1, 1)) + + ydata = log_smh_table[:, -1].reshape((-1, 1)) + _ones = np.ones_like(ydata) + + ndbins_lo = logmh_bins[:-1].reshape((-1, 1)) + ndbins_hi = logmh_bins[1:].reshape((-1, 1)) + + whist = tw_ndhist_weighted(nddata, ndsig, ydata, ndbins_lo, ndbins_hi) + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + return wcounts, whist + + +def compute_diff_histograms_atz(logmh_bins, log_mah_table, log_smh_table): + + n_halos = log_smh_table.shape[0] + + nddata = log_mah_table.reshape((-1, 1)) + + sigma = np.mean(np.diff(logmh_bins)) + np.zeros(n_halos) + ndsig = sigma.reshape((-1, 1)) + + ydata = log_smh_table.reshape((-1, 1)) + _ones = np.ones_like(ydata) + + ndbins_lo = logmh_bins[:-1].reshape((-1, 1)) + ndbins_hi = logmh_bins[1:].reshape((-1, 1)) + + whist = tw_ndhist_weighted(nddata, ndsig, ydata, ndbins_lo, ndbins_hi) + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + return wcounts, whist + + +def compute_histograms_atz(logmh_bins, log_mah_table, log_smh_table): + count = binned_statistic( + log_mah_table, values=log_smh_table, bins=logmh_bins, statistic="count" + )[0] + whist = binned_statistic( + log_mah_table, values=log_smh_table, bins=logmh_bins, statistic="sum" + )[0] + return count, whist + + +def get_redshift_from_age(age): + z_table = np.linspace(0, 10, 2000)[::-1] + t_table = Planck13.age(z_table).value + redshift_from_age = np.interp(age, t_table, z_table) + return redshift_from_age + + +def return_target_redshfit_index(t_table, redshift_targets): + z_table = get_redshift_from_age(t_table) + return np.digitize(redshift_targets, z_table) + + +def sample_halos( + n_subvol_smdpl, + logmh_bins, + log_mah, + log_smh, + mah_params, + ms_params, + q_params, + upid, +): + ndbins_lo = logmh_bins[:-1] + ndbins_hi = logmh_bins[1:] + arange_arr = np.arange(len(log_mah)) + logmh_id = [] + logmh_val = [] + mah_params_samp = [] + ms_params_samp = [] + q_params_samp = [] + upid_samp = [] + + mah_params = np.array(mah_params).T + ms_params = np.array(ms_params).T + q_params = np.array(q_params).T + + n_halos_per_subvol = N_HALOS_MAX // n_subvol_smdpl + + for i in range(len(ndbins_lo)): + sel = (log_mah >= ndbins_lo[i]) & (log_mah < ndbins_hi[i]) + sel_num = int(min(n_halos_per_subvol, sel.sum())) + sel = np.random.choice(arange_arr[sel], sel_num, replace=False) + logmh_id.append(np.ones_like(sel) * i) + logmh_val.append(np.ones_like(sel) * ((ndbins_lo[i] + ndbins_hi[i]) / 2.0)) + mah_params_samp.append(mah_params[sel]) + ms_params_samp.append(ms_params[sel]) + q_params_samp.append(q_params[sel]) + upid_samp.append(upid[sel]) + + logmh_id = np.concatenate(logmh_id) + logmh_val = np.concatenate(logmh_val) + mah_params_samp = np.concatenate(mah_params_samp) + ms_params_samp = np.concatenate(ms_params_samp) + q_params_samp = np.concatenate(q_params_samp) + upid_samp = np.concatenate(upid_samp) + + mah_params_samp = DEFAULT_MAH_PARAMS._make(mah_params_samp.T) + ms_params_samp = DEFAULT_DIFFSTAR_PARAMS.ms_params._make(ms_params_samp.T) + q_params_samp = DEFAULT_DIFFSTAR_PARAMS.q_params._make(q_params_samp.T) + out = ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + ) + return out + + +def create_target_data( + subvol, + sim_name, + n_subvol_smdpl, + redshift_targets=Z_BINS, + n_subvol_tot=N_SUBVOL_SMDPL, + binaries_drn=LCRC_NOMERGING_BINARIES_DRN, + diffmah_drn=LCRC_NOMERGING_DIFFMAH_DRN, + diffstar_drn=LCRC_NOMERGING_DIFFSTAR_DRN, + diffstar_bnpat=LCRC_NOMERGING_diffstar_bnpat, + lgt0=LGT0, + logmh_bins=LOGMH_BINS, +): + _res = load_diffstar_sfh_tables( + subvol, + sim_name, + n_subvol_tot=n_subvol_tot, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + diffstar_bnpat=diffstar_bnpat, + lgt0=lgt0, + ) + ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + has_fit, + ) = _res + + galprops = ["halo_id", "upid"] + halos = load_mock_from_binaries( + np.atleast_1d(subvol), root_dirname=binaries_drn, galprops=galprops + ) + upid = np.array(halos["upid"])[has_fit] + + tids = return_target_redshfit_index(t_table, redshift_targets) + + nz, nm = len(redshift_targets), len(logmh_bins) - 1 + + wcounts_zid = np.zeros((nz, nm)) + whist_zid = np.zeros((nz, nm)) + counts_zid = np.zeros((nz, nm)) + hist_zid = np.zeros((nz, nm)) + + counts_zid_cen = np.zeros((nz, nm)) + counts_zid_sat = np.zeros((nz, nm)) + + for i, tid in enumerate(tids): + _res = compute_diff_histograms_atz( + logmh_bins, log_mah_table[:, tid], log_smh_table[:, tid] + ) + wcounts_zid[i] = _res[0] + whist_zid[i] = _res[1] + + _res = compute_histograms_atz( + logmh_bins, log_mah_table[:, tid], log_smh_table[:, tid] + ) + counts_zid[i] = _res[0] + hist_zid[i] = _res[1] + + is_central = upid == -1 + counts_zid_cen[i] = compute_histograms_atz( + logmh_bins, + log_mah_table[:, tid][is_central], + log_smh_table[:, tid][is_central], + )[0] + counts_zid_sat[i] = compute_histograms_atz( + logmh_bins, + log_mah_table[:, tid][~is_central], + log_smh_table[:, tid][~is_central], + )[0] + + data = [] + + for i, tid in enumerate(tids): + _res = sample_halos( + n_subvol_smdpl, + logmh_bins, + log_mah_table[:, tid], + log_smh_table[:, tid], + mah_params, + ms_params, + q_params, + upid, + ) + data.append( + ( + *_res, + np.ones_like(_res[0]) * i, + np.ones_like(_res[0]) * t_table[tid], + np.ones_like(_res[0]) * redshift_targets[i], + ) + ) + + haloes = concatenate_samples_haloes(data) + + out = ( + wcounts_zid, + whist_zid, + counts_zid, + hist_zid, + t_table[tids], + haloes, + counts_zid_cen, + counts_zid_sat, + ) + + return out + + +def concatenate_samples_haloes(data): + logmh_id = [] + logmh_val = [] + redshift_val = [] + tobs_id = [] + tobs_val = [] + mah_params_samp = [] + ms_params_samp = [] + q_params_samp = [] + upid_samp = [] + + for subdata in data: + + logmh_id.append(subdata[0]) + logmh_val.append(subdata[1]) + mah_params_samp.append(np.array(subdata[2]).T) + ms_params_samp.append(np.array(subdata[3]).T) + q_params_samp.append(np.array(subdata[4]).T) + upid_samp.append(subdata[5]) + tobs_id.append(subdata[6]) + tobs_val.append(subdata[7]) + redshift_val.append(subdata[8]) + + logmh_id = np.concatenate(logmh_id) + logmh_val = np.concatenate(logmh_val) + mah_params_samp = np.concatenate(mah_params_samp) + ms_params_samp = np.concatenate(ms_params_samp) + q_params_samp = np.concatenate(q_params_samp) + upid_samp = np.concatenate(upid_samp) + tobs_id = np.concatenate(tobs_id) + tobs_val = np.concatenate(tobs_val) + redshift_val = np.concatenate(redshift_val) + + mah_params_samp = DEFAULT_MAH_PARAMS._make(mah_params_samp.T) + ms_params_samp = DEFAULT_DIFFSTAR_PARAMS.ms_params._make(ms_params_samp.T) + q_params_samp = DEFAULT_DIFFSTAR_PARAMS.q_params._make(q_params_samp.T) + + haloes = ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) + return haloes + + +def compute_diff_histograms_mstar_atmobs_z( + logmstar_bins, + log_smh_table, +): + + n_halos = log_smh_table.shape[0] + + nddata = log_smh_table.reshape((-1, 1)) + + sigma = np.mean(np.diff(logmstar_bins)) + np.zeros(n_halos) + ndsig = sigma.reshape((-1, 1)) + + ydata = log_smh_table.reshape((-1, 1)) + _ones = np.ones_like(ydata) + + ndbins_lo = logmstar_bins[:-1].reshape((-1, 1)) + ndbins_hi = logmstar_bins[1:].reshape((-1, 1)) + + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + counts = np.histogram(ydata, logmstar_bins)[0] + + return wcounts, counts + + +def compute_diff_histograms_mstar_ssfr_atz( + log_smh_table, + log_ssfr_table, + ndbins_lo, + ndbins_hi, + logmstar_bins, + logssfr_bins, +): + n_halos = log_smh_table.shape[0] + + sigma_mstar = np.mean(np.diff(logmstar_bins)) + np.zeros(n_halos) + sigma_ssfr = np.mean(np.diff(logssfr_bins)) + np.zeros(n_halos) + + ndsig = np.ones((n_halos, 2)) + ndsig[:, 0] = sigma_mstar + ndsig[:, 1] = sigma_ssfr + + nddata = np.array([log_smh_table, log_ssfr_table]).T + + _ones = np.ones(n_halos) + + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + return wcounts + + +def create_pdf_target_data( + subvol, + sim_name, + redshift_targets=Z_BINS, + n_subvol_tot=N_SUBVOL_SMDPL, + binaries_drn=LCRC_NOMERGING_BINARIES_DRN, + diffmah_drn=LCRC_NOMERGING_DIFFMAH_DRN, + diffstar_drn=LCRC_NOMERGING_DIFFSTAR_DRN, + diffstar_bnpat=LCRC_NOMERGING_diffstar_bnpat, + lgt0=LGT0, + logmh_bins=LOGMH_BINS, + logmstar_bins_pdf=LOGMSTAR_BINS_PDF, + logssfr_bins_pdf=LOGSSFR_BINS_PDF, +): + _res = load_diffstar_sfh_tables( + subvol, + sim_name, + n_subvol_tot=n_subvol_tot, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + diffstar_bnpat=diffstar_bnpat, + lgt0=lgt0, + ) + ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + has_fit, + ) = _res + + log_ssfrh_table = np.clip(log_ssfrh_table, -12.0, None) + + galprops = ["halo_id", "upid"] + halos = load_mock_from_binaries( + np.atleast_1d(subvol), root_dirname=binaries_drn, galprops=galprops + ) + upid = np.array(halos["upid"])[has_fit] + is_central = upid == -1 + + tids = return_target_redshfit_index(t_table, redshift_targets) + + nz, nm = len(redshift_targets), len(logmh_bins) - 1 + nmstar = len(logmstar_bins_pdf) - 1 + nssfr = len(logssfr_bins_pdf) - 1 + + ndbins_lo = [] + ndbins_hi = [] + for i in range(len(logmstar_bins_pdf) - 1): + for j in range(len(logssfr_bins_pdf) - 1): + ndbins_lo.append([logmstar_bins_pdf[i], logssfr_bins_pdf[j]]) + ndbins_hi.append([logmstar_bins_pdf[i + 1], logssfr_bins_pdf[j + 1]]) + ndbins_lo = np.array(ndbins_lo) + ndbins_hi = np.array(ndbins_hi) + + mstar_wcounts = np.zeros((nz, nm, nmstar)) + mstar_counts = np.zeros((nz, nm, nmstar)) + + mstar_ssfr_wcounts_cent = np.zeros((nz, nm, nmstar, nssfr)) + mstar_ssfr_wcounts_sat = np.zeros((nz, nm, nmstar, nssfr)) + + for i, tid in enumerate(tids): + for j in range(nm): + mobs_sel = (log_mah_table[:, tid] > logmh_bins[j]) & ( + log_mah_table[:, tid] < logmh_bins[j + 1] + ) + _res = compute_diff_histograms_mstar_atmobs_z( + logmstar_bins_pdf, + log_smh_table[mobs_sel][:, tid], + ) + mstar_wcounts[i, j] = _res[0] + mstar_counts[i, j] = _res[1] + + mobs_sel_cent = mobs_sel & is_central + _res = compute_diff_histograms_mstar_ssfr_atz( + log_smh_table[mobs_sel_cent][:, tid], + log_ssfrh_table[mobs_sel_cent][:, tid], + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + ) + mstar_ssfr_wcounts_cent[i, j] = _res.reshape((nmstar, nssfr)) + + mobs_sel_sat = mobs_sel & (~is_central) + _res = compute_diff_histograms_mstar_ssfr_atz( + log_smh_table[mobs_sel_sat][:, tid], + log_ssfrh_table[mobs_sel_sat][:, tid], + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + ) + mstar_ssfr_wcounts_sat[i, j] = _res.reshape((nmstar, nssfr)) + + out = ( + mstar_wcounts, + mstar_counts, + mstar_ssfr_wcounts_cent, + mstar_ssfr_wcounts_sat, + ) + + return out diff --git a/scripts/diffstarpop_scripts/smhm_utils_tng_mgash.py b/scripts/diffstarpop_scripts/smhm_utils_tng_mgash.py new file mode 100644 index 0000000..eba419f --- /dev/null +++ b/scripts/diffstarpop_scripts/smhm_utils_tng_mgash.py @@ -0,0 +1,585 @@ +""" """ + +import os + +import h5py +import numpy as np +from diffmah.diffmah_kernels import DEFAULT_MAH_PARAMS, mah_halopop +from diffsky.diffndhist import tw_ndhist_weighted +from diffstar.defaults_mgash_model import DEFAULT_DIFFSTAR_PARAMS, LGT0, T_TABLE_MIN +from diffstar.sfh_model_mgash import calc_sfh_galpop +from scipy.stats import binned_statistic +from astropy.cosmology import Planck13 +from umachine_pyio.load_mock import load_mock_from_binaries + +BEBOP_TNG = "/lcrc/project/halotools/alarcon/data/" +BEBOP_TNG_MAH = "/lcrc/project/halotools/alarcon/results/tng_diffmah_tpeak/" +BEBOP_TNG_SFH = "/lcrc/project/halotools/alarcon/results/mgash/TNG/" + + +LGMH_MIN, LGMH_MAX = 11, 14.75 +N_LGM_BINS = 12 +LOGMH_BINS = np.linspace(LGMH_MIN, LGMH_MAX, N_LGM_BINS) + +LOGMSTAR_BINS_PDF = np.linspace(7.0, 13.0, 26) +LOGSSFR_BINS_PDF = np.linspace(-13.0, -8.0, 30) + + +Z_BINS = [0.0, 0.5, 1.0, 1.5, 2.0] + +T0_SMDPL = 13.7976158 + +NCHUNKS = 20 + +N_HALOS_MAX = 20_000 +N_HALOS_PER_SUBVOL = N_HALOS_MAX // NCHUNKS + + +def load_tng_chunk_data(subvol, indir=BEBOP_TNG): + + fn = os.path.join(indir, "tng_diffmah.npy") + halos = np.load(fn) + upid = halos["cen1_sat0"] + + nhalos_tot = len(upid) + + _a = np.arange(0, nhalos_tot).astype("i8") + indx = np.array_split(_a, NCHUNKS)[subvol] + + return upid[indx] + + +def _load_flat_hdf5(fn): + data = dict() + with h5py.File(fn, "r") as hdf: + for key in hdf.keys(): + data[key] = hdf[key][...] + return data + + +def load_diffdata( + diffmah_drn=BEBOP_TNG_MAH, + diffstar_drn=BEBOP_TNG_SFH, +): + diffstar_bn = "diffstar_tng_fits.hdf5" + diffstar_fn = os.path.join(diffstar_drn, diffstar_bn) + diffstar_data = _load_flat_hdf5(diffstar_fn) + + diffmah_bn = diffstar_bn.replace("diffstar", "diffmah") + diffmah_fn = os.path.join(diffmah_drn, diffmah_bn) + diffmah_data = _load_flat_hdf5(diffmah_fn) + + return diffmah_data, diffstar_data + + +def load_diffstar_sfh_tables( + subvol, + diffmah_drn=BEBOP_TNG_MAH, + diffstar_drn=BEBOP_TNG_SFH, + lgt0=LGT0, + n_times=200, +): + diffmah_data, diffstar_data = load_diffdata( + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + ) + nhalos_tot = len(diffmah_data["logm0"][...]) + _a = np.arange(0, nhalos_tot).astype("i8") + indx = np.array_split(_a, NCHUNKS)[subvol] + + has_fit = ( + (diffmah_data["loss"][indx] > 0.0) + & (diffstar_data["loss"][indx] > 0.0) + & (diffstar_data["success"][indx] == 1) + ) + + mah_params = DEFAULT_MAH_PARAMS._make( + [diffmah_data[key][indx][has_fit] for key in DEFAULT_MAH_PARAMS._fields] + ) + + ms_params = DEFAULT_DIFFSTAR_PARAMS.ms_params._make( + [ + diffstar_data[key][indx][has_fit] + for key in DEFAULT_DIFFSTAR_PARAMS.ms_params._fields + ] + ) + q_params = DEFAULT_DIFFSTAR_PARAMS.q_params._make( + [ + diffstar_data[key][indx][has_fit] + for key in DEFAULT_DIFFSTAR_PARAMS.q_params._fields + ] + ) + sfh_params = DEFAULT_DIFFSTAR_PARAMS._make((ms_params, q_params)) + + t_0 = 10**lgt0 + t_table = np.linspace(T_TABLE_MIN, t_0, n_times) + + __, log_mah_table = mah_halopop(mah_params, t_table, LGT0) + + sfh_table, smh_table = calc_sfh_galpop( + sfh_params, mah_params, t_table, lgt0=LGT0, return_smh=True + ) + log_sfh_table = np.log10(sfh_table) + log_smh_table = np.log10(smh_table) + log_ssfrh_table = log_sfh_table - log_smh_table + + out = ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + has_fit, + ) + + return out + + +def compute_weighted_histograms_z0( + subvol, + diffmah_drn=BEBOP_TNG_MAH, + diffstar_drn=BEBOP_TNG_SFH, + lgt0=LGT0, + logmh_bins=LOGMH_BINS, +): + _res = load_diffstar_sfh_tables( + subvol, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + lgt0=lgt0, + ) + t_table, log_mah_table, log_smh_table, log_ssfrh_table = _res[:4] + + n_halos = log_smh_table.shape[0] + + nddata = log_mah_table[:, -1].reshape((-1, 1)) + + sigma = np.mean(np.diff(logmh_bins)) + np.zeros(n_halos) + ndsig = sigma.reshape((-1, 1)) + + ydata = log_smh_table[:, -1].reshape((-1, 1)) + _ones = np.ones_like(ydata) + + ndbins_lo = logmh_bins[:-1].reshape((-1, 1)) + ndbins_hi = logmh_bins[1:].reshape((-1, 1)) + + whist = tw_ndhist_weighted(nddata, ndsig, ydata, ndbins_lo, ndbins_hi) + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + return wcounts, whist + + +def compute_diff_histograms_atz(logmh_bins, log_mah_table, log_smh_table): + + n_halos = log_smh_table.shape[0] + + nddata = log_mah_table.reshape((-1, 1)) + + sigma = np.mean(np.diff(logmh_bins)) + np.zeros(n_halos) + ndsig = sigma.reshape((-1, 1)) + + ydata = log_smh_table.reshape((-1, 1)) + _ones = np.ones_like(ydata) + + ndbins_lo = logmh_bins[:-1].reshape((-1, 1)) + ndbins_hi = logmh_bins[1:].reshape((-1, 1)) + + whist = tw_ndhist_weighted(nddata, ndsig, ydata, ndbins_lo, ndbins_hi) + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + return wcounts, whist + + +def compute_histograms_atz(logmh_bins, log_mah_table, log_smh_table): + count = binned_statistic( + log_mah_table, values=log_smh_table, bins=logmh_bins, statistic="count" + )[0] + whist = binned_statistic( + log_mah_table, values=log_smh_table, bins=logmh_bins, statistic="sum" + )[0] + return count, whist + + +def get_redshift_from_age(age): + z_table = np.linspace(0, 10, 2000)[::-1] + t_table = Planck13.age(z_table).value + redshift_from_age = np.interp(age, t_table, z_table) + return redshift_from_age + + +def return_target_redshfit_index(t_table, redshift_targets): + z_table = get_redshift_from_age(t_table) + return np.digitize(redshift_targets, z_table) + + +def sample_halos( + logmh_bins, + log_mah, + log_smh, + mah_params, + ms_params, + q_params, + upid, +): + ndbins_lo = logmh_bins[:-1] + ndbins_hi = logmh_bins[1:] + arange_arr = np.arange(len(log_mah)) + logmh_id = [] + logmh_val = [] + mah_params_samp = [] + ms_params_samp = [] + q_params_samp = [] + upid_samp = [] + + mah_params = np.array(mah_params).T + ms_params = np.array(ms_params).T + q_params = np.array(q_params).T + + for i in range(len(ndbins_lo)): + sel = (log_mah >= ndbins_lo[i]) & (log_mah < ndbins_hi[i]) + sel_num = int(min(N_HALOS_PER_SUBVOL, sel.sum())) + sel = np.random.choice(arange_arr[sel], sel_num, replace=False) + logmh_id.append(np.ones_like(sel) * i) + logmh_val.append(np.ones_like(sel) * ((ndbins_lo[i] + ndbins_hi[i]) / 2.0)) + mah_params_samp.append(mah_params[sel]) + ms_params_samp.append(ms_params[sel]) + q_params_samp.append(q_params[sel]) + upid_samp.append(upid[sel]) + + logmh_id = np.concatenate(logmh_id) + logmh_val = np.concatenate(logmh_val) + mah_params_samp = np.concatenate(mah_params_samp) + ms_params_samp = np.concatenate(ms_params_samp) + q_params_samp = np.concatenate(q_params_samp) + upid_samp = np.concatenate(upid_samp) + + mah_params_samp = DEFAULT_MAH_PARAMS._make(mah_params_samp.T) + ms_params_samp = DEFAULT_DIFFSTAR_PARAMS.ms_params._make(ms_params_samp.T) + q_params_samp = DEFAULT_DIFFSTAR_PARAMS.q_params._make(q_params_samp.T) + out = ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + ) + return out + + +def create_target_data( + subvol, + redshift_targets=Z_BINS, + diffmah_drn=BEBOP_TNG_MAH, + diffstar_drn=BEBOP_TNG_SFH, + lgt0=LGT0, + logmh_bins=LOGMH_BINS, +): + _res = load_diffstar_sfh_tables( + subvol, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + lgt0=lgt0, + ) + ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + has_fit, + ) = _res + + upid = load_tng_chunk_data(subvol)[has_fit] + tng_t = np.load(os.path.join(BEBOP_TNG, "tng_cosmic_time.npy")) + + tids = return_target_redshfit_index(t_table, redshift_targets) + tids_tng = return_target_redshfit_index(tng_t, redshift_targets) + + nz, nm = len(redshift_targets), len(logmh_bins) - 1 + + wcounts_zid = np.zeros((nz, nm)) + whist_zid = np.zeros((nz, nm)) + counts_zid = np.zeros((nz, nm)) + hist_zid = np.zeros((nz, nm)) + + counts_zid_cen = np.zeros((nz, nm)) + counts_zid_sat = np.zeros((nz, nm)) + + is_central = upid[:, -1] == 1 + is_satell = upid[:, -1] == 0 + + for i, tid in enumerate(tids): + _res = compute_diff_histograms_atz( + logmh_bins, log_mah_table[:, tid], log_smh_table[:, tid] + ) + wcounts_zid[i] = _res[0] + whist_zid[i] = _res[1] + + _res = compute_histograms_atz( + logmh_bins, log_mah_table[:, tid], log_smh_table[:, tid] + ) + counts_zid[i] = _res[0] + hist_zid[i] = _res[1] + + # is_central = upid[:, tids_tng[i]] == 1 + counts_zid_cen[i] = compute_histograms_atz( + logmh_bins, + log_mah_table[:, tid][is_central], + log_smh_table[:, tid][is_central], + )[0] + # is_satell = upid[:, tids_tng[i]] == 0 + counts_zid_sat[i] = compute_histograms_atz( + logmh_bins, + log_mah_table[:, tid][is_satell], + log_smh_table[:, tid][is_satell], + )[0] + + data = [] + + final_upid = upid[:, -1].copy() + final_upid[is_central] = -1 + + for i, tid in enumerate(tids): + _res = sample_halos( + logmh_bins, + log_mah_table[:, tid], + log_smh_table[:, tid], + mah_params, + ms_params, + q_params, + final_upid, + ) + data.append( + ( + *_res, + np.ones_like(_res[0]) * i, + np.ones_like(_res[0]) * t_table[tid], + np.ones_like(_res[0]) * redshift_targets[i], + ) + ) + + haloes = concatenate_samples_haloes(data) + + out = ( + wcounts_zid, + whist_zid, + counts_zid, + hist_zid, + t_table[tids], + haloes, + counts_zid_cen, + counts_zid_sat, + ) + + return out + + +def concatenate_samples_haloes(data): + logmh_id = [] + logmh_val = [] + redshift_val = [] + tobs_id = [] + tobs_val = [] + mah_params_samp = [] + ms_params_samp = [] + q_params_samp = [] + upid_samp = [] + + for subdata in data: + + logmh_id.append(subdata[0]) + logmh_val.append(subdata[1]) + mah_params_samp.append(np.array(subdata[2]).T) + ms_params_samp.append(np.array(subdata[3]).T) + q_params_samp.append(np.array(subdata[4]).T) + upid_samp.append(subdata[5]) + tobs_id.append(subdata[6]) + tobs_val.append(subdata[7]) + redshift_val.append(subdata[8]) + + logmh_id = np.concatenate(logmh_id) + logmh_val = np.concatenate(logmh_val) + mah_params_samp = np.concatenate(mah_params_samp) + ms_params_samp = np.concatenate(ms_params_samp) + q_params_samp = np.concatenate(q_params_samp) + upid_samp = np.concatenate(upid_samp) + tobs_id = np.concatenate(tobs_id) + tobs_val = np.concatenate(tobs_val) + redshift_val = np.concatenate(redshift_val) + + mah_params_samp = DEFAULT_MAH_PARAMS._make(mah_params_samp.T) + ms_params_samp = DEFAULT_DIFFSTAR_PARAMS.ms_params._make(ms_params_samp.T) + q_params_samp = DEFAULT_DIFFSTAR_PARAMS.q_params._make(q_params_samp.T) + + haloes = ( + logmh_id, + logmh_val, + mah_params_samp, + ms_params_samp, + q_params_samp, + upid_samp, + tobs_id, + tobs_val, + redshift_val, + ) + return haloes + + +def compute_diff_histograms_mstar_atmobs_z( + logmstar_bins, + log_smh_table, +): + + n_halos = log_smh_table.shape[0] + + nddata = log_smh_table.reshape((-1, 1)) + + sigma = np.mean(np.diff(logmstar_bins)) + np.zeros(n_halos) + ndsig = sigma.reshape((-1, 1)) + + ydata = log_smh_table.reshape((-1, 1)) + _ones = np.ones_like(ydata) + + ndbins_lo = logmstar_bins[:-1].reshape((-1, 1)) + ndbins_hi = logmstar_bins[1:].reshape((-1, 1)) + + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + counts = np.histogram(ydata, logmstar_bins)[0] + + return wcounts, counts + + +def compute_diff_histograms_mstar_ssfr_atz( + log_smh_table, + log_ssfr_table, + ndbins_lo, + ndbins_hi, + logmstar_bins, + logssfr_bins, +): + n_halos = log_smh_table.shape[0] + + sigma_mstar = np.mean(np.diff(logmstar_bins)) + np.zeros(n_halos) + sigma_ssfr = np.mean(np.diff(logssfr_bins)) + np.zeros(n_halos) + + ndsig = np.ones((n_halos, 2)) + ndsig[:, 0] = sigma_mstar + ndsig[:, 1] = sigma_ssfr + + nddata = np.array([log_smh_table, log_ssfr_table]).T + + _ones = np.ones(n_halos) + + wcounts = tw_ndhist_weighted(nddata, ndsig, _ones, ndbins_lo, ndbins_hi) + + return wcounts + + +def create_pdf_target_data( + subvol, + redshift_targets=Z_BINS, + diffmah_drn=BEBOP_TNG_MAH, + diffstar_drn=BEBOP_TNG_SFH, + lgt0=LGT0, + logmh_bins=LOGMH_BINS, + logmstar_bins_pdf=LOGMSTAR_BINS_PDF, + logssfr_bins_pdf=LOGSSFR_BINS_PDF, +): + _res = load_diffstar_sfh_tables( + subvol, + diffmah_drn=diffmah_drn, + diffstar_drn=diffstar_drn, + lgt0=lgt0, + ) + ( + t_table, + log_mah_table, + log_smh_table, + log_ssfrh_table, + mah_params, + ms_params, + q_params, + has_fit, + ) = _res + + log_ssfrh_table = np.clip(log_ssfrh_table, -12.0, None) + + upid = load_tng_chunk_data(subvol)[has_fit] + + tng_t = np.load(os.path.join(BEBOP_TNG, "tng_cosmic_time.npy")) + + tids = return_target_redshfit_index(t_table, redshift_targets) + tids_tng = return_target_redshfit_index(tng_t, redshift_targets) + + nz, nm = len(redshift_targets), len(logmh_bins) - 1 + nmstar = len(logmstar_bins_pdf) - 1 + nssfr = len(logssfr_bins_pdf) - 1 + + ndbins_lo = [] + ndbins_hi = [] + for i in range(len(logmstar_bins_pdf) - 1): + for j in range(len(logssfr_bins_pdf) - 1): + ndbins_lo.append([logmstar_bins_pdf[i], logssfr_bins_pdf[j]]) + ndbins_hi.append([logmstar_bins_pdf[i + 1], logssfr_bins_pdf[j + 1]]) + ndbins_lo = np.array(ndbins_lo) + ndbins_hi = np.array(ndbins_hi) + + mstar_wcounts = np.zeros((nz, nm, nmstar)) + mstar_counts = np.zeros((nz, nm, nmstar)) + + mstar_ssfr_wcounts_cent = np.zeros((nz, nm, nmstar, nssfr)) + mstar_ssfr_wcounts_sat = np.zeros((nz, nm, nmstar, nssfr)) + + is_central = upid[:, -1] == 1 + is_satell = upid[:, -1] == 0 + for i, tid in enumerate(tids): + # is_central = upid[:, tids_tng[i]] == 1 + # is_satell = upid[:, tids_tng[i]] == 0 + + for j in range(nm): + mobs_sel = (log_mah_table[:, tid] > logmh_bins[j]) & ( + log_mah_table[:, tid] < logmh_bins[j + 1] + ) + _res = compute_diff_histograms_mstar_atmobs_z( + logmstar_bins_pdf, + log_smh_table[mobs_sel][:, tid], + ) + mstar_wcounts[i, j] = _res[0] + mstar_counts[i, j] = _res[1] + + mobs_sel_cent = mobs_sel & is_central + _res = compute_diff_histograms_mstar_ssfr_atz( + log_smh_table[mobs_sel_cent][:, tid], + log_ssfrh_table[mobs_sel_cent][:, tid], + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + ) + mstar_ssfr_wcounts_cent[i, j] = _res.reshape((nmstar, nssfr)) + + mobs_sel_sat = mobs_sel & is_satell + _res = compute_diff_histograms_mstar_ssfr_atz( + log_smh_table[mobs_sel_sat][:, tid], + log_ssfrh_table[mobs_sel_sat][:, tid], + ndbins_lo, + ndbins_hi, + logmstar_bins_pdf, + logssfr_bins_pdf, + ) + mstar_ssfr_wcounts_sat[i, j] = _res.reshape((nmstar, nssfr)) + + out = ( + mstar_wcounts, + mstar_counts, + mstar_ssfr_wcounts_cent, + mstar_ssfr_wcounts_sat, + ) + + return out From e05e06c16778f94df24826ce4b7f49402f1c88d9 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Thu, 30 Oct 2025 23:13:54 +0100 Subject: [PATCH 03/18] Updating the scripts and notebook part of the readme file --- README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 8ea2e25..0604632 100644 --- a/README.md +++ b/README.md @@ -26,9 +26,15 @@ $ conda create -c conda-forge -n diffit python=3.11 numpy numba flake8 pytest ja Data for this project can be found [at this URL](https://portal.nersc.gov/project/hacc/aphearin/diffstar_data/). ## Scripts and demo notebooks + +The `demo_diffstar_sfh.ipynb` notebook in the `docs` folder illustrates how to use the Diffstar model for individual SFH, and how to generate the SFH of a population fo galaxies with DiffstarPop. + +See `diffstar_fitting_script_umachine_mgash.py` for an example of how to fit the SFHs of a large number of simulated galaxies in parallel with mpi4py. + The `diffstar_fitter_demo.ipynb` notebook demonstrates how to fit the SFH of a simulated galaxy with a diffstar approximation. -See `history_fitting_script.py` for an example of how to fit the SFHs of a large number of simulated galaxies in parallel with mpi4py. + +See `fit_mstar_ssfr_pdfs_mgash.py` for an example of how to use DiffstarPop to fit a set of Mstar and sSFR PDFs, and `measure_smhm_smdpl_script_mpi_mgash.py` for an example of how to generate the target data from a set of Diffstar fits. ## Citing diffstar [The Diffstar paper](https://arxiv.org/abs/2205.04273) has been published in [Monthly Notices of the Royal Astronomical Society](https://academic.oup.com/mnras/article-abstract/518/1/562/6795944?redirectedFrom=fulltext). Citation information for the paper can be found at [this ADS link](https://ui.adsabs.harvard.edu/abs/2023MNRAS.518..562A/abstract), copied below for convenience: From d1ffe265df6834a96a5df918e270c4e91f70f94a Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Thu, 30 Oct 2025 23:17:45 +0100 Subject: [PATCH 04/18] Fixing typo in the readme file --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 0604632..fd5c41f 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ Data for this project can be found [at this URL](https://portal.nersc.gov/projec ## Scripts and demo notebooks -The `demo_diffstar_sfh.ipynb` notebook in the `docs` folder illustrates how to use the Diffstar model for individual SFH, and how to generate the SFH of a population fo galaxies with DiffstarPop. +The `demo_diffstar_sfh.ipynb` notebook in the `docs` folder illustrates how to use the Diffstar model for individual SFH, and how to generate the SFH of a population of galaxies using DiffstarPop. See `diffstar_fitting_script_umachine_mgash.py` for an example of how to fit the SFHs of a large number of simulated galaxies in parallel with mpi4py. From 203a1732c1e1d2e1d205adad9b811e7eb3b586f7 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Thu, 30 Oct 2025 23:37:24 +0100 Subject: [PATCH 05/18] Adding best-fit diffstarpop params in the init file of the params module --- diffstar/diffstarpop/kernels/params/__init__.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/diffstar/diffstarpop/kernels/params/__init__.py b/diffstar/diffstarpop/kernels/params/__init__.py index cc1cc5b..584d36c 100644 --- a/diffstar/diffstarpop/kernels/params/__init__.py +++ b/diffstar/diffstarpop/kernels/params/__init__.py @@ -7,3 +7,8 @@ DiffstarPop_Params_Diffstarfits_mgash, DiffstarPop_UParams_Diffstarfits_mgash, ) + +from .params_diffstarpopfits_mgash import ( + DiffstarPop_Params_Diffstarpopfits_mgash, + DiffstarPop_UParams_Diffstarpopfits_mgash, +) From f008c842713f8cb2939a7e0d14bf8480c5b79469 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 00:27:02 +0100 Subject: [PATCH 06/18] Add notebook showing how to use Diffstarpop with diffmahpop --- scripts/demo_diffstarpop_sfh.ipynb | 446 +++++++++++++++++++++++++++++ 1 file changed, 446 insertions(+) create mode 100644 scripts/demo_diffstarpop_sfh.ipynb diff --git a/scripts/demo_diffstarpop_sfh.ipynb b/scripts/demo_diffstarpop_sfh.ipynb new file mode 100644 index 0000000..39b22d1 --- /dev/null +++ b/scripts/demo_diffstarpop_sfh.ipynb @@ -0,0 +1,446 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "dfda3a65", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "740ca990", + "metadata": {}, + "outputs": [], + "source": [ + "#__ = plt.style.use(\"./diffstar.mplstyle\")\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "import matplotlib.gridspec as gridspec\n", + "from matplotlib.patches import Patch\n", + "from matplotlib.lines import Line2D\n", + "from scipy.optimize import curve_fit\n", + "mred = u\"#d62728\"\n", + "morange = u\"#ff7f0e\"\n", + "mgreen = u\"#2ca02c\"\n", + "mblue = u\"#1f77b4\"\n", + "mpurple = u\"#9467bd\"\n", + "\n", + "colors = [mpurple,mblue,mgreen,morange, mred]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "49e88ec7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LaTeX rendering enabled.\n" + ] + } + ], + "source": [ + "import subprocess\n", + "\n", + "\n", + "def try_enable_latex():\n", + " \"\"\"Try enabling LaTeX text rendering in matplotlib,\n", + " fallback if not available.\"\"\"\n", + " try:\n", + " # Quick check: can we run latex?\n", + " subprocess.check_call(\n", + " [\"latex\", \"--version\"],\n", + " stdout=subprocess.DEVNULL,\n", + " stderr=subprocess.DEVNULL,\n", + " )\n", + " plt.rc(\"text\", usetex=True)\n", + " plt.rc(\"font\", family=\"serif\", size=22)\n", + " plt.rc('figure', figsize=(6,4)) \n", + " print(\"LaTeX rendering enabled.\")\n", + " except (subprocess.CalledProcessError, FileNotFoundError):\n", + " # LaTeX not installed or failed\n", + " plt.rc(\"text\", usetex=False)\n", + " plt.rc(\"font\", family=\"serif\", size=22)\n", + " plt.rc('figure', figsize=(6,4)) \n", + " print(\"LaTeX not available, falling back to default mathtext.\")\n", + "\n", + "try_enable_latex()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7de791ef", + "metadata": {}, + "outputs": [], + "source": [ + "from diffmah.diffmah_kernels import mah_halopop\n", + "from diffsky.mass_functions.mc_diffmah_tpeak import mc_subhalos\n", + "from jax import random as jran\n", + "\n", + "from diffsky.mass_functions.mc_diffmah_tpeak import mc_subhalos\n", + "from dsps.constants import T_TABLE_MIN\n", + "from jax import jit as jjit\n", + "from jax import numpy as jnp\n", + "from jax import random as jran\n", + "from jax import value_and_grad\n", + "\n", + "from diffstar.defaults import LGT0\n", + "\n", + "from diffstar.diffstarpop import mc_diffstar_sfh_galpop\n" + ] + }, + { + "cell_type": "markdown", + "id": "2766fcea", + "metadata": {}, + "source": [ + "### Load `DiffstarPop` parameters fitted to different simulations" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ec281a98", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "odict_keys(['smdpl_dr1_nomerging', 'smdpl_dr1', 'tng', 'galacticus_in_situ', 'galacticus_in_plus_ex_situ'])\n" + ] + } + ], + "source": [ + "from diffstar.diffstarpop.kernels.params import (\n", + " DiffstarPop_Params_Diffstarpopfits_mgash, \n", + ")\n", + "print(DiffstarPop_Params_Diffstarpopfits_mgash.keys())\n", + "\n", + "\n", + "DIFFSTARPOP_UM = DiffstarPop_Params_Diffstarpopfits_mgash[\"smdpl_dr1_nomerging\"]\n", + "DIFFSTARPOP_TNG = DiffstarPop_Params_Diffstarpopfits_mgash[\"tng\"]\n", + "DIFFSTARPOP_GALCUS = DiffstarPop_Params_Diffstarpopfits_mgash[\"galacticus_in_situ\"]" + ] + }, + { + "cell_type": "markdown", + "id": "af7e46f5", + "metadata": {}, + "source": [ + "### Generate a simulated halo catalog with `diffmahpop`" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "27d5a751", + "metadata": {}, + "outputs": [], + "source": [ + "ran_key = jran.PRNGKey(0)\n", + "\n", + "# Generate a random subhalo catalog\n", + "subcat_key, ran_key = jran.split(ran_key, 2)\n", + "lgmp_min = 11.25\n", + "z_obs = 0.01\n", + "Lbox = 75.0\n", + "volume_com = Lbox**3\n", + "subcat = mc_subhalos(subcat_key, z_obs, lgmp_min=lgmp_min, volume_com=volume_com)" + ] + }, + { + "cell_type": "markdown", + "id": "a24d8558", + "metadata": {}, + "source": [ + "### Calculate the SFHs using the UniverseMachine params" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "174f463a", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "ntimes = 50\n", + "tarr = np.linspace(0.1, 13.7, ntimes)\n", + "\n", + "\n", + "dmhdt_fit, log_mah_fit = mah_halopop(subcat.mah_params, tarr, LGT0)\n", + "logmp0 = log_mah_fit[:,-1]\n", + "# Manually set the infall data of each halo to no infall,\n", + "# since this part of the Diffstarpop model has not been calibrated\n", + "\n", + "n_halos = subcat.logmhost_ult_inf.shape[0]\n", + "\n", + "lgmu_infall = -1.0 * np.ones(n_halos)\n", + "logmhost_infall = 13.0 * np.ones(n_halos)\n", + "gyr_since_infall = -99.0 * np.ones(n_halos)\n", + "\n", + "# compute SFHs for the default galaxy population\n", + "args = (\n", + " DIFFSTARPOP_UM,\n", + " subcat.mah_params,\n", + " subcat.logmp0,\n", + " subcat.upids,\n", + " lgmu_infall,\n", + " logmhost_infall,\n", + " gyr_since_infall,\n", + " ran_key,\n", + " tarr,\n", + ")\n", + "\n", + "(\n", + " diffstar_params_ms,\n", + " diffstar_params_q,\n", + " default_sfh_ms,\n", + " default_sfh_q,\n", + " frac_q,\n", + " mc_is_q,\n", + ") = mc_diffstar_sfh_galpop(*args)\n", + "\n", + "# select at random if a galaxy is MS or Q based on frac_q.\n", + "default_sfh = np.zeros_like(default_sfh_ms) \n", + "default_sfh[mc_is_q] = default_sfh_q[mc_is_q]\n", + "default_sfh[~mc_is_q] = default_sfh_ms[~mc_is_q]" + ] + }, + { + "cell_type": "markdown", + "id": "8008bb83", + "metadata": {}, + "source": [ + "### Make some plots" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5d28d160", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,2, figsize=(16,6))\n", + "mpeak_vals = np.arange(11.5, 14, 0.5)\n", + "for i, mpeak in enumerate(mpeak_vals):\n", + " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", + " mean_log_mah_fit = np.mean(log_mah_fit[sel], axis=0)\n", + " mean_default_sfh = np.mean(default_sfh[sel], axis=0)\n", + " range_log_mah_fit = np.percentile(log_mah_fit[sel], [15.865, 84.135], axis=0)\n", + " range_mean_default_sfh = np.percentile(default_sfh[sel], [15.865, 84.135], axis=0)\n", + " \n", + " ax[0].plot(tarr, 10**mean_log_mah_fit, color=colors[i])\n", + " ax[0].fill_between(tarr, 10**range_log_mah_fit[0], 10**range_log_mah_fit[1], color=colors[i], alpha=0.1)\n", + " ax[1].plot(tarr, mean_default_sfh, color=colors[i])\n", + " ax[1].fill_between(tarr, range_mean_default_sfh[0], range_mean_default_sfh[1], color=colors[i], alpha=0.1)\n", + "\n", + "\n", + "ax[0].set_ylim(1e9, 1e14)\n", + "ax[0].set_xticks(np.arange(1.0, 14.0, 2.0))\n", + "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[0].set_yscale('log')\n", + "\n", + "ax[0].set_xlim(0.0, 13.7)\n", + "ax[1].set_xlim(0.0, 13.7)\n", + "ax[1].set_yscale('log')\n", + "ax[1].set_ylim(5e-3, 5e2)\n", + "ax[1].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", + "ax[0].set_ylabel(r\"$\\langle M_{\\rm halo} | M_{p,0} \\rangle [M_{\\odot}]$\")\n", + "\n", + "fig.subplots_adjust(wspace=0.25)\n", + "fig.suptitle(\"Average histories\")\n", + "\n", + "plt.show()\n", + "\n", + "fig, ax = plt.subplots(1,2, figsize=(16,6))\n", + "for i, mpeak in enumerate(mpeak_vals):\n", + " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", + "\n", + " ax[0].plot(tarr, 10**log_mah_fit[sel][np.random.choice(int(sel.sum()), 5)].T, color=colors[i])\n", + " ax[1].plot(tarr, default_sfh[sel][np.random.choice(int(sel.sum()), 5)].T, color=colors[i])\n", + "\n", + "\n", + "\n", + "ax[0].set_yscale('log')\n", + "ax[1].set_yscale('log')\n", + "ax[1].set_ylim(5e-3, 5e2)\n", + "\n", + "ax[0].set_xlim(0.0, 13.7)\n", + "ax[1].set_xlim(0.0, 13.7)\n", + "ax[0].set_ylim(1e9, 1e14)\n", + "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[0].set_ylabel(r\"$ M_{\\rm halo} | M_{p,0} \\,[M_{\\odot}]$\")\n", + "ax[1].set_ylabel(r\"$\\dot{M}_\\star | M_{p,0} \\,[M_{\\odot}/{\\rm yr}]$\")\n", + "fig.subplots_adjust(wspace=0.25)\n", + "fig.suptitle(\"Individual samples\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3fefff10", + "metadata": {}, + "source": [ + "### Compare SFHs for `DiffstarPop` params fitted to different simulations." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "00d9abad", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,4, figsize=(30,6), sharex=True)\n", + "mpeak_vals = np.arange(11.5, 14, 0.5)\n", + "\n", + "for i, mpeak in enumerate(mpeak_vals):\n", + " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", + " mean_log_mah_fit = np.mean(log_mah_fit[sel], axis=0)\n", + " range_log_mah_fit = np.percentile(log_mah_fit[sel], [15.865, 84.135], axis=0)\n", + " \n", + " ax[0].plot(tarr, mean_log_mah_fit, color=colors[i])\n", + " ax[0].fill_between(tarr, range_log_mah_fit[0], range_log_mah_fit[1], color=colors[i], alpha=0.1)\n", + "\n", + "for k, params in enumerate([DIFFSTARPOP_UM, DIFFSTARPOP_TNG, DIFFSTARPOP_GALCUS]):\n", + " # compute SFHs for the default galaxy population\n", + " args = (\n", + " params,\n", + " subcat.mah_params,\n", + " subcat.logmp0,\n", + " subcat.upids,\n", + " lgmu_infall,\n", + " logmhost_infall,\n", + " gyr_since_infall,\n", + " ran_key,\n", + " tarr,\n", + " )\n", + "\n", + " (\n", + " diffstar_params_ms,\n", + " diffstar_params_q,\n", + " default_sfh_ms,\n", + " default_sfh_q,\n", + " frac_q,\n", + " mc_is_q,\n", + " ) = mc_diffstar_sfh_galpop(*args)\n", + "\n", + " default_sfh = np.zeros_like(default_sfh_ms) \n", + " default_sfh[mc_is_q] = default_sfh_q[mc_is_q]\n", + " default_sfh[~mc_is_q] = default_sfh_ms[~mc_is_q]\n", + "\n", + " for i, mpeak in enumerate(mpeak_vals):\n", + " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", + " mean_default_sfh = np.mean(default_sfh[sel], axis=0)\n", + " range_mean_default_sfh = np.percentile(default_sfh[sel], [15.865, 84.135], axis=0)\n", + " \n", + " ax[k+1].plot(tarr, mean_default_sfh, color=colors[i])\n", + " ax[k+1].fill_between(tarr, range_mean_default_sfh[0], range_mean_default_sfh[1], color=colors[i], alpha=0.1)\n", + "\n", + "\n", + "ax[0].set_ylim(9, 14)\n", + "ax[0].set_xticks(np.arange(1.0, 14.0, 2.0))\n", + "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[2].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[3].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[0].set_xlim(0.0, 13.7)\n", + "\n", + "ax[1].set_yscale('log')\n", + "ax[2].set_yscale('log')\n", + "ax[3].set_yscale('log')\n", + "ax[1].set_ylim(5e-3, 5e2)\n", + "ax[2].set_ylim(5e-3, 5e2)\n", + "ax[3].set_ylim(5e-3, 5e2)\n", + "ax[0].set_ylabel(r\"$\\langle M_{\\rm halo} | M_{p,0} \\rangle [M_{\\odot}]$\")\n", + "ax[1].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", + "ax[2].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", + "ax[3].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", + "\n", + "ax[1].set_title(\"UniverseMachine\")\n", + "ax[2].set_title(\"IllustrisTNG\")\n", + "ax[3].set_title(\"Galacticus\")\n", + "\n", + "fig.subplots_adjust(wspace=0.25)\n", + "\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "471a75b8", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "diffstuff", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 245cd48daa3829a285f2b49e74f133ab40feaf5c Mon Sep 17 00:00:00 2001 From: Andrew Hearin Date: Fri, 31 Oct 2025 06:16:40 -0500 Subject: [PATCH 07/18] python black reformatting --- diffstar/diffstarpop/kernels/__init__.py | 3 +-- diffstar/diffstarpop/kernels/tests/test_satquench_model.py | 3 +-- diffstar/diffstarpop/sumstats/smdpl_smhm_targets.py | 3 +-- diffstar/diffstarpop/sumstats/tests/test_smhm.py | 3 +-- 4 files changed, 4 insertions(+), 8 deletions(-) diff --git a/diffstar/diffstarpop/kernels/__init__.py b/diffstar/diffstarpop/kernels/__init__.py index 93d911c..b1308d4 100644 --- a/diffstar/diffstarpop/kernels/__init__.py +++ b/diffstar/diffstarpop/kernels/__init__.py @@ -1,4 +1,3 @@ -""" -""" +""" """ # flake8: noqa diff --git a/diffstar/diffstarpop/kernels/tests/test_satquench_model.py b/diffstar/diffstarpop/kernels/tests/test_satquench_model.py index d0f949e..cbdd1d0 100644 --- a/diffstar/diffstarpop/kernels/tests/test_satquench_model.py +++ b/diffstar/diffstarpop/kernels/tests/test_satquench_model.py @@ -1,5 +1,4 @@ -""" -""" +""" """ import numpy as np from jax import random as jran diff --git a/diffstar/diffstarpop/sumstats/smdpl_smhm_targets.py b/diffstar/diffstarpop/sumstats/smdpl_smhm_targets.py index 992c014..239ab86 100644 --- a/diffstar/diffstarpop/sumstats/smdpl_smhm_targets.py +++ b/diffstar/diffstarpop/sumstats/smdpl_smhm_targets.py @@ -1,5 +1,4 @@ -""" -""" +""" """ import os diff --git a/diffstar/diffstarpop/sumstats/tests/test_smhm.py b/diffstar/diffstarpop/sumstats/tests/test_smhm.py index 277a30f..c3f4bd8 100644 --- a/diffstar/diffstarpop/sumstats/tests/test_smhm.py +++ b/diffstar/diffstarpop/sumstats/tests/test_smhm.py @@ -1,5 +1,4 @@ -""" -""" +""" """ import numpy as np From e804c06eb2081ede8a9dbbabbca919662a8527c3 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 12:28:50 +0100 Subject: [PATCH 08/18] Moving noteobok to docs --- {scripts => docs/source}/demo_diffstarpop_sfh.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {scripts => docs/source}/demo_diffstarpop_sfh.ipynb (100%) diff --git a/scripts/demo_diffstarpop_sfh.ipynb b/docs/source/demo_diffstarpop_sfh.ipynb similarity index 100% rename from scripts/demo_diffstarpop_sfh.ipynb rename to docs/source/demo_diffstarpop_sfh.ipynb From 1350d2d98458c349a30e8166b25b8dda5f0fea23 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 12:55:48 +0100 Subject: [PATCH 09/18] Updating diffstarpo demo notebook --- .../demo_diffmahpop_diffstarpop_sfh.ipynb | 445 +++++++++++++++++ docs/source/demo_diffstarpop_sfh.ipynb | 446 ------------------ 2 files changed, 445 insertions(+), 446 deletions(-) create mode 100644 docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb delete mode 100644 docs/source/demo_diffstarpop_sfh.ipynb diff --git a/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb b/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb new file mode 100644 index 0000000..798eadf --- /dev/null +++ b/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb @@ -0,0 +1,445 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2f5e4d41", + "metadata": {}, + "source": [ + "# Generating halo and galaxy populations with DiffmahPop and DiffstarPop\n", + "\n", + "This notebook gives a basic illustrations of how to use `DiffmahPop` and `DiffstarPop` withing the `diffsky` pipeline to generate a catalog of simulated mass accretion histories and star formation histories.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dfda3a65", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "740ca990", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "import matplotlib.gridspec as gridspec\n", + "from matplotlib.patches import Patch\n", + "from matplotlib.lines import Line2D\n", + "from scipy.optimize import curve_fit\n", + "mred = u\"#d62728\"\n", + "morange = u\"#ff7f0e\"\n", + "mgreen = u\"#2ca02c\"\n", + "mblue = u\"#1f77b4\"\n", + "mpurple = u\"#9467bd\"\n", + "\n", + "colors = [mpurple,mblue,mgreen,morange, mred]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "49e88ec7", + "metadata": {}, + "outputs": [], + "source": [ + "import subprocess\n", + "\n", + "\n", + "def try_enable_latex():\n", + " \"\"\"Try enabling LaTeX text rendering in matplotlib,\n", + " fallback if not available.\"\"\"\n", + " try:\n", + " # Quick check: can we run latex?\n", + " subprocess.check_call(\n", + " [\"latex\", \"--version\"],\n", + " stdout=subprocess.DEVNULL,\n", + " stderr=subprocess.DEVNULL,\n", + " )\n", + " plt.rc(\"text\", usetex=True)\n", + " plt.rc(\"font\", family=\"serif\", size=22)\n", + " plt.rc('figure', figsize=(6,4)) \n", + " print(\"LaTeX rendering enabled.\")\n", + " except (subprocess.CalledProcessError, FileNotFoundError):\n", + " # LaTeX not installed or failed\n", + " plt.rc(\"text\", usetex=False)\n", + " plt.rc(\"font\", family=\"serif\", size=22)\n", + " plt.rc('figure', figsize=(6,4)) \n", + " print(\"LaTeX not available, falling back to default mathtext.\")\n", + "\n", + "try_enable_latex()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7de791ef", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "from jax import jit as jjit\n", + "from jax import numpy as jnp\n", + "from jax import random as jran\n", + "from jax import value_and_grad\n", + "\n", + "# Some constants\n", + "from dsps.constants import T_TABLE_MIN\n", + "from diffstar.defaults import LGT0\n" + ] + }, + { + "cell_type": "markdown", + "id": "af7e46f5", + "metadata": {}, + "source": [ + "### Generate a simulated halo catalog with `diffmahpop`\n", + "\n", + "Here we generate a simulated Monte Carlo realization of a subhalo catalog at a single redshift using the diffmahpop wrapper in the diffsky pipeline." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27d5a751", + "metadata": {}, + "outputs": [], + "source": [ + "from diffsky.mass_functions.mc_diffmah_tpeak import mc_subhalos\n", + "\n", + "ran_key = jran.PRNGKey(0)\n", + "\n", + "# Generate a random subhalo catalog\n", + "subcat_key, ran_key = jran.split(ran_key, 2)\n", + "lgmp_min = 11.25\n", + "z_obs = 0.01\n", + "Lbox = 75.0\n", + "volume_com = Lbox**3\n", + "subcat = mc_subhalos(subcat_key, z_obs, lgmp_min=lgmp_min, volume_com=volume_com)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ce913bc0", + "metadata": {}, + "outputs": [], + "source": [ + "plt.hist(subcat.logmp0, np.linspace(lgmp_min, 14.5, 100))\n", + "plt.xlabel(r\"$\\log M_{p,0}\\, [M_{\\odot}]$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "150fcab3", + "metadata": {}, + "source": [ + "### Load `DiffstarPop` parameters fitted to different simulations\n", + "\n", + "DiffstarPop has a set of default parameters, but it also has a set of parameters that best-fit three different types of simulations:\n", + "\n", + "- The hydrodynamical simulation IllustrisTNG.\n", + "- The semi-analyitical model (SAM) Galaticus.\n", + "- The empirical model UniverseMachine.\n", + "\n", + "These can be accessed through the `diffstar.diffstarpop.kernels.params` module.\n", + "\n", + "They can be used to place informed priors from galaxy formation models into the SFHs of galaxies." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ed459a74", + "metadata": {}, + "outputs": [], + "source": [ + "from diffstar.diffstarpop import DEFAULT_DIFFSTARPOP_PARAMS\n", + "from diffstar.diffstarpop.kernels.params import (\n", + " DiffstarPop_Params_Diffstarpopfits_mgash, \n", + ")\n", + "print(DiffstarPop_Params_Diffstarpopfits_mgash.keys())\n", + "\n", + "# These are fit for in-situ only SFHs.\n", + "DIFFSTARPOP_UM = DiffstarPop_Params_Diffstarpopfits_mgash[\"smdpl_dr1_nomerging\"]\n", + "DIFFSTARPOP_TNG = DiffstarPop_Params_Diffstarpopfits_mgash[\"tng\"]\n", + "DIFFSTARPOP_GALCUS = DiffstarPop_Params_Diffstarpopfits_mgash[\"galacticus_in_situ\"]\n", + "\n", + "# These are fit for in-plus-ex-situ SFHs.\n", + "DIFFSTARPOP_UM_plus_exsitu = DiffstarPop_Params_Diffstarpopfits_mgash[\"smdpl_dr1\"]\n", + "DIFFSTARPOP_GALCUS_plus_exsitu = DiffstarPop_Params_Diffstarpopfits_mgash[\"galacticus_in_plus_ex_situ\"]\n" + ] + }, + { + "cell_type": "markdown", + "id": "a24d8558", + "metadata": {}, + "source": [ + "### Calculate the SFHs using the UniverseMachine params\n", + "\n", + "Here we calculate the MAH from the halo parameters that we previously generated. \n", + "\n", + "We generate star formation histories for each halo. A galaxy in a given halo can be in the main sequence or quenched, with a certain probability given by the quenching fraction. We generate both, along with the `frac_q` that each halo might be quenched. We also generate a monte-carlo realization for the halo catalog, assigning whereas each halo is hosting a main sequence or quenched galaxy, via `mc_is_q`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "174f463a", + "metadata": {}, + "outputs": [], + "source": [ + "from diffmah.diffmah_kernels import mah_halopop\n", + "from diffstar.diffstarpop import mc_diffstar_sfh_galpop\n", + "\n", + "ntimes = 50\n", + "tarr = np.linspace(T_TABLE_MIN, 13.7, ntimes)\n", + "\n", + "\n", + "dmhdt_fit, log_mah_fit = mah_halopop(subcat.mah_params, tarr, LGT0)\n", + "logmp0 = log_mah_fit[:,-1]\n", + "# Manually set the infall data of each halo to no infall,\n", + "# since this part of the Diffstarpop model has not been calibrated\n", + "\n", + "n_halos = subcat.logmhost_ult_inf.shape[0]\n", + "\n", + "lgmu_infall = -1.0 * np.ones(n_halos)\n", + "logmhost_infall = 13.0 * np.ones(n_halos)\n", + "gyr_since_infall = -99.0 * np.ones(n_halos)\n", + "\n", + "# compute SFHs for the default galaxy population\n", + "args = (\n", + " DIFFSTARPOP_UM,\n", + " subcat.mah_params,\n", + " subcat.logmp0,\n", + " subcat.upids,\n", + " lgmu_infall,\n", + " logmhost_infall,\n", + " gyr_since_infall,\n", + " ran_key,\n", + " tarr,\n", + ")\n", + "\n", + "(\n", + " diffstar_params_ms,\n", + " diffstar_params_q,\n", + " default_sfh_ms,\n", + " default_sfh_q,\n", + " frac_q,\n", + " mc_is_q,\n", + ") = mc_diffstar_sfh_galpop(*args)\n", + "\n", + "# select at random if a galaxy is MS or Q based on frac_q.\n", + "default_sfh = np.zeros_like(default_sfh_ms) \n", + "default_sfh[mc_is_q] = default_sfh_q[mc_is_q]\n", + "default_sfh[~mc_is_q] = default_sfh_ms[~mc_is_q]" + ] + }, + { + "cell_type": "markdown", + "id": "8008bb83", + "metadata": {}, + "source": [ + "### Make some plots\n", + "\n", + "Here we plot the average MAH and SFH histories we have generated, for halos of different present-day halo mass.\n", + "\n", + "We also plot a few individual MAH and SFH histories." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5d28d160", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1,2, figsize=(16,6))\n", + "mpeak_vals = np.arange(11.5, 14, 0.5)\n", + "for i, mpeak in enumerate(mpeak_vals):\n", + " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", + " mean_log_mah_fit = np.mean(log_mah_fit[sel], axis=0)\n", + " mean_default_sfh = np.mean(default_sfh[sel], axis=0)\n", + " range_log_mah_fit = np.percentile(log_mah_fit[sel], [15.865, 84.135], axis=0)\n", + " range_mean_default_sfh = np.percentile(default_sfh[sel], [15.865, 84.135], axis=0)\n", + " \n", + " ax[0].plot(tarr, 10**mean_log_mah_fit, color=colors[i])\n", + " ax[0].fill_between(tarr, 10**range_log_mah_fit[0], 10**range_log_mah_fit[1], color=colors[i], alpha=0.1)\n", + " ax[1].plot(tarr, mean_default_sfh, color=colors[i])\n", + " ax[1].fill_between(tarr, range_mean_default_sfh[0], range_mean_default_sfh[1], color=colors[i], alpha=0.1)\n", + "\n", + "\n", + "ax[0].set_ylim(1e9, 1e14)\n", + "ax[0].set_xticks(np.arange(1.0, 14.0, 2.0))\n", + "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[0].set_yscale('log')\n", + "\n", + "ax[0].set_xlim(0.0, 13.7)\n", + "ax[1].set_xlim(0.0, 13.7)\n", + "ax[1].set_yscale('log')\n", + "ax[1].set_ylim(5e-3, 5e2)\n", + "ax[1].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", + "ax[0].set_ylabel(r\"$\\langle M_{\\rm halo} | M_{p,0} \\rangle [M_{\\odot}]$\")\n", + "\n", + "fig.subplots_adjust(wspace=0.25)\n", + "fig.suptitle(\"Average histories\")\n", + "\n", + "plt.show()\n", + "\n", + "fig, ax = plt.subplots(1,2, figsize=(16,6))\n", + "for i, mpeak in enumerate(mpeak_vals):\n", + " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", + "\n", + " ax[0].plot(tarr, 10**log_mah_fit[sel][np.random.choice(int(sel.sum()), 5)].T, color=colors[i])\n", + " ax[1].plot(tarr, default_sfh[sel][np.random.choice(int(sel.sum()), 5)].T, color=colors[i])\n", + "\n", + "\n", + "\n", + "ax[0].set_yscale('log')\n", + "ax[1].set_yscale('log')\n", + "ax[1].set_ylim(5e-3, 5e2)\n", + "\n", + "ax[0].set_xlim(0.0, 13.7)\n", + "ax[1].set_xlim(0.0, 13.7)\n", + "ax[0].set_ylim(1e9, 1e14)\n", + "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[0].set_ylabel(r\"$ M_{\\rm halo} | M_{p,0} \\,[M_{\\odot}]$\")\n", + "ax[1].set_ylabel(r\"$\\dot{M}_\\star | M_{p,0} \\,[M_{\\odot}/{\\rm yr}]$\")\n", + "fig.subplots_adjust(wspace=0.25)\n", + "fig.suptitle(\"Individual samples\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3fefff10", + "metadata": {}, + "source": [ + "### Compare SFHs for `DiffstarPop` params fitted to different simulations.\n", + "\n", + "Here we plot the average SFHs using the best-fit diffstarpop values obtained from different simulations." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "00d9abad", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1,4, figsize=(30,6), sharex=True)\n", + "mpeak_vals = np.arange(11.5, 14, 0.5)\n", + "\n", + "for i, mpeak in enumerate(mpeak_vals):\n", + " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", + " mean_log_mah_fit = np.mean(log_mah_fit[sel], axis=0)\n", + " range_log_mah_fit = np.percentile(log_mah_fit[sel], [15.865, 84.135], axis=0)\n", + " \n", + " ax[0].plot(tarr, mean_log_mah_fit, color=colors[i])\n", + " ax[0].fill_between(tarr, range_log_mah_fit[0], range_log_mah_fit[1], color=colors[i], alpha=0.1)\n", + "\n", + "for k, params in enumerate([DIFFSTARPOP_UM, DIFFSTARPOP_TNG, DIFFSTARPOP_GALCUS]):\n", + " # compute SFHs for the default galaxy population\n", + " args = (\n", + " params,\n", + " subcat.mah_params,\n", + " subcat.logmp0,\n", + " subcat.upids,\n", + " lgmu_infall,\n", + " logmhost_infall,\n", + " gyr_since_infall,\n", + " ran_key,\n", + " tarr,\n", + " )\n", + "\n", + " (\n", + " diffstar_params_ms,\n", + " diffstar_params_q,\n", + " default_sfh_ms,\n", + " default_sfh_q,\n", + " frac_q,\n", + " mc_is_q,\n", + " ) = mc_diffstar_sfh_galpop(*args)\n", + "\n", + " default_sfh = np.zeros_like(default_sfh_ms) \n", + " default_sfh[mc_is_q] = default_sfh_q[mc_is_q]\n", + " default_sfh[~mc_is_q] = default_sfh_ms[~mc_is_q]\n", + "\n", + " for i, mpeak in enumerate(mpeak_vals):\n", + " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", + " mean_default_sfh = np.mean(default_sfh[sel], axis=0)\n", + " range_mean_default_sfh = np.percentile(default_sfh[sel], [15.865, 84.135], axis=0)\n", + " \n", + " ax[k+1].plot(tarr, mean_default_sfh, color=colors[i])\n", + " ax[k+1].fill_between(tarr, range_mean_default_sfh[0], range_mean_default_sfh[1], color=colors[i], alpha=0.1)\n", + "\n", + "\n", + "ax[0].set_ylim(9, 14)\n", + "ax[0].set_xticks(np.arange(1.0, 14.0, 2.0))\n", + "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[2].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[3].set_xlabel(\"Cosmic time [Gyr]\")\n", + "ax[0].set_xlim(0.0, 13.7)\n", + "\n", + "ax[1].set_yscale('log')\n", + "ax[2].set_yscale('log')\n", + "ax[3].set_yscale('log')\n", + "ax[1].set_ylim(5e-3, 5e2)\n", + "ax[2].set_ylim(5e-3, 5e2)\n", + "ax[3].set_ylim(5e-3, 5e2)\n", + "ax[0].set_ylabel(r\"$\\langle M_{\\rm halo} | M_{p,0} \\rangle [M_{\\odot}]$\")\n", + "ax[1].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", + "ax[2].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", + "ax[3].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", + "\n", + "ax[1].set_title(\"UniverseMachine\")\n", + "ax[2].set_title(\"IllustrisTNG\")\n", + "ax[3].set_title(\"Galacticus\")\n", + "\n", + "fig.subplots_adjust(wspace=0.25)\n", + "\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "471a75b8", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "diffstuff", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/source/demo_diffstarpop_sfh.ipynb b/docs/source/demo_diffstarpop_sfh.ipynb deleted file mode 100644 index 39b22d1..0000000 --- a/docs/source/demo_diffstarpop_sfh.ipynb +++ /dev/null @@ -1,446 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "dfda3a65", - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "740ca990", - "metadata": {}, - "outputs": [], - "source": [ - "#__ = plt.style.use(\"./diffstar.mplstyle\")\n", - "import numpy as np\n", - "from matplotlib import pyplot as plt\n", - "import matplotlib.gridspec as gridspec\n", - "from matplotlib.patches import Patch\n", - "from matplotlib.lines import Line2D\n", - "from scipy.optimize import curve_fit\n", - "mred = u\"#d62728\"\n", - "morange = u\"#ff7f0e\"\n", - "mgreen = u\"#2ca02c\"\n", - "mblue = u\"#1f77b4\"\n", - "mpurple = u\"#9467bd\"\n", - "\n", - "colors = [mpurple,mblue,mgreen,morange, mred]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "49e88ec7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LaTeX rendering enabled.\n" - ] - } - ], - "source": [ - "import subprocess\n", - "\n", - "\n", - "def try_enable_latex():\n", - " \"\"\"Try enabling LaTeX text rendering in matplotlib,\n", - " fallback if not available.\"\"\"\n", - " try:\n", - " # Quick check: can we run latex?\n", - " subprocess.check_call(\n", - " [\"latex\", \"--version\"],\n", - " stdout=subprocess.DEVNULL,\n", - " stderr=subprocess.DEVNULL,\n", - " )\n", - " plt.rc(\"text\", usetex=True)\n", - " plt.rc(\"font\", family=\"serif\", size=22)\n", - " plt.rc('figure', figsize=(6,4)) \n", - " print(\"LaTeX rendering enabled.\")\n", - " except (subprocess.CalledProcessError, FileNotFoundError):\n", - " # LaTeX not installed or failed\n", - " plt.rc(\"text\", usetex=False)\n", - " plt.rc(\"font\", family=\"serif\", size=22)\n", - " plt.rc('figure', figsize=(6,4)) \n", - " print(\"LaTeX not available, falling back to default mathtext.\")\n", - "\n", - "try_enable_latex()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "7de791ef", - "metadata": {}, - "outputs": [], - "source": [ - "from diffmah.diffmah_kernels import mah_halopop\n", - "from diffsky.mass_functions.mc_diffmah_tpeak import mc_subhalos\n", - "from jax import random as jran\n", - "\n", - "from diffsky.mass_functions.mc_diffmah_tpeak import mc_subhalos\n", - "from dsps.constants import T_TABLE_MIN\n", - "from jax import jit as jjit\n", - "from jax import numpy as jnp\n", - "from jax import random as jran\n", - "from jax import value_and_grad\n", - "\n", - "from diffstar.defaults import LGT0\n", - "\n", - "from diffstar.diffstarpop import mc_diffstar_sfh_galpop\n" - ] - }, - { - "cell_type": "markdown", - "id": "2766fcea", - "metadata": {}, - "source": [ - "### Load `DiffstarPop` parameters fitted to different simulations" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "ec281a98", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "odict_keys(['smdpl_dr1_nomerging', 'smdpl_dr1', 'tng', 'galacticus_in_situ', 'galacticus_in_plus_ex_situ'])\n" - ] - } - ], - "source": [ - "from diffstar.diffstarpop.kernels.params import (\n", - " DiffstarPop_Params_Diffstarpopfits_mgash, \n", - ")\n", - "print(DiffstarPop_Params_Diffstarpopfits_mgash.keys())\n", - "\n", - "\n", - "DIFFSTARPOP_UM = DiffstarPop_Params_Diffstarpopfits_mgash[\"smdpl_dr1_nomerging\"]\n", - "DIFFSTARPOP_TNG = DiffstarPop_Params_Diffstarpopfits_mgash[\"tng\"]\n", - "DIFFSTARPOP_GALCUS = DiffstarPop_Params_Diffstarpopfits_mgash[\"galacticus_in_situ\"]" - ] - }, - { - "cell_type": "markdown", - "id": "af7e46f5", - "metadata": {}, - "source": [ - "### Generate a simulated halo catalog with `diffmahpop`" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "27d5a751", - "metadata": {}, - "outputs": [], - "source": [ - "ran_key = jran.PRNGKey(0)\n", - "\n", - "# Generate a random subhalo catalog\n", - "subcat_key, ran_key = jran.split(ran_key, 2)\n", - "lgmp_min = 11.25\n", - "z_obs = 0.01\n", - "Lbox = 75.0\n", - "volume_com = Lbox**3\n", - "subcat = mc_subhalos(subcat_key, z_obs, lgmp_min=lgmp_min, volume_com=volume_com)" - ] - }, - { - "cell_type": "markdown", - "id": "a24d8558", - "metadata": {}, - "source": [ - "### Calculate the SFHs using the UniverseMachine params" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "174f463a", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "ntimes = 50\n", - "tarr = np.linspace(0.1, 13.7, ntimes)\n", - "\n", - "\n", - "dmhdt_fit, log_mah_fit = mah_halopop(subcat.mah_params, tarr, LGT0)\n", - "logmp0 = log_mah_fit[:,-1]\n", - "# Manually set the infall data of each halo to no infall,\n", - "# since this part of the Diffstarpop model has not been calibrated\n", - "\n", - "n_halos = subcat.logmhost_ult_inf.shape[0]\n", - "\n", - "lgmu_infall = -1.0 * np.ones(n_halos)\n", - "logmhost_infall = 13.0 * np.ones(n_halos)\n", - "gyr_since_infall = -99.0 * np.ones(n_halos)\n", - "\n", - "# compute SFHs for the default galaxy population\n", - "args = (\n", - " DIFFSTARPOP_UM,\n", - " subcat.mah_params,\n", - " subcat.logmp0,\n", - " subcat.upids,\n", - " lgmu_infall,\n", - " logmhost_infall,\n", - " gyr_since_infall,\n", - " ran_key,\n", - " tarr,\n", - ")\n", - "\n", - "(\n", - " diffstar_params_ms,\n", - " diffstar_params_q,\n", - " default_sfh_ms,\n", - " default_sfh_q,\n", - " frac_q,\n", - " mc_is_q,\n", - ") = mc_diffstar_sfh_galpop(*args)\n", - "\n", - "# select at random if a galaxy is MS or Q based on frac_q.\n", - "default_sfh = np.zeros_like(default_sfh_ms) \n", - "default_sfh[mc_is_q] = default_sfh_q[mc_is_q]\n", - "default_sfh[~mc_is_q] = default_sfh_ms[~mc_is_q]" - ] - }, - { - "cell_type": "markdown", - "id": "8008bb83", - "metadata": {}, - "source": [ - "### Make some plots" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "5d28d160", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(1,2, figsize=(16,6))\n", - "mpeak_vals = np.arange(11.5, 14, 0.5)\n", - "for i, mpeak in enumerate(mpeak_vals):\n", - " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", - " mean_log_mah_fit = np.mean(log_mah_fit[sel], axis=0)\n", - " mean_default_sfh = np.mean(default_sfh[sel], axis=0)\n", - " range_log_mah_fit = np.percentile(log_mah_fit[sel], [15.865, 84.135], axis=0)\n", - " range_mean_default_sfh = np.percentile(default_sfh[sel], [15.865, 84.135], axis=0)\n", - " \n", - " ax[0].plot(tarr, 10**mean_log_mah_fit, color=colors[i])\n", - " ax[0].fill_between(tarr, 10**range_log_mah_fit[0], 10**range_log_mah_fit[1], color=colors[i], alpha=0.1)\n", - " ax[1].plot(tarr, mean_default_sfh, color=colors[i])\n", - " ax[1].fill_between(tarr, range_mean_default_sfh[0], range_mean_default_sfh[1], color=colors[i], alpha=0.1)\n", - "\n", - "\n", - "ax[0].set_ylim(1e9, 1e14)\n", - "ax[0].set_xticks(np.arange(1.0, 14.0, 2.0))\n", - "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", - "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", - "ax[0].set_yscale('log')\n", - "\n", - "ax[0].set_xlim(0.0, 13.7)\n", - "ax[1].set_xlim(0.0, 13.7)\n", - "ax[1].set_yscale('log')\n", - "ax[1].set_ylim(5e-3, 5e2)\n", - "ax[1].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", - "ax[0].set_ylabel(r\"$\\langle M_{\\rm halo} | M_{p,0} \\rangle [M_{\\odot}]$\")\n", - "\n", - "fig.subplots_adjust(wspace=0.25)\n", - "fig.suptitle(\"Average histories\")\n", - "\n", - "plt.show()\n", - "\n", - "fig, ax = plt.subplots(1,2, figsize=(16,6))\n", - "for i, mpeak in enumerate(mpeak_vals):\n", - " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", - "\n", - " ax[0].plot(tarr, 10**log_mah_fit[sel][np.random.choice(int(sel.sum()), 5)].T, color=colors[i])\n", - " ax[1].plot(tarr, default_sfh[sel][np.random.choice(int(sel.sum()), 5)].T, color=colors[i])\n", - "\n", - "\n", - "\n", - "ax[0].set_yscale('log')\n", - "ax[1].set_yscale('log')\n", - "ax[1].set_ylim(5e-3, 5e2)\n", - "\n", - "ax[0].set_xlim(0.0, 13.7)\n", - "ax[1].set_xlim(0.0, 13.7)\n", - "ax[0].set_ylim(1e9, 1e14)\n", - "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", - "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", - "ax[0].set_ylabel(r\"$ M_{\\rm halo} | M_{p,0} \\,[M_{\\odot}]$\")\n", - "ax[1].set_ylabel(r\"$\\dot{M}_\\star | M_{p,0} \\,[M_{\\odot}/{\\rm yr}]$\")\n", - "fig.subplots_adjust(wspace=0.25)\n", - "fig.suptitle(\"Individual samples\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "3fefff10", - "metadata": {}, - "source": [ - "### Compare SFHs for `DiffstarPop` params fitted to different simulations." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "00d9abad", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(1,4, figsize=(30,6), sharex=True)\n", - "mpeak_vals = np.arange(11.5, 14, 0.5)\n", - "\n", - "for i, mpeak in enumerate(mpeak_vals):\n", - " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", - " mean_log_mah_fit = np.mean(log_mah_fit[sel], axis=0)\n", - " range_log_mah_fit = np.percentile(log_mah_fit[sel], [15.865, 84.135], axis=0)\n", - " \n", - " ax[0].plot(tarr, mean_log_mah_fit, color=colors[i])\n", - " ax[0].fill_between(tarr, range_log_mah_fit[0], range_log_mah_fit[1], color=colors[i], alpha=0.1)\n", - "\n", - "for k, params in enumerate([DIFFSTARPOP_UM, DIFFSTARPOP_TNG, DIFFSTARPOP_GALCUS]):\n", - " # compute SFHs for the default galaxy population\n", - " args = (\n", - " params,\n", - " subcat.mah_params,\n", - " subcat.logmp0,\n", - " subcat.upids,\n", - " lgmu_infall,\n", - " logmhost_infall,\n", - " gyr_since_infall,\n", - " ran_key,\n", - " tarr,\n", - " )\n", - "\n", - " (\n", - " diffstar_params_ms,\n", - " diffstar_params_q,\n", - " default_sfh_ms,\n", - " default_sfh_q,\n", - " frac_q,\n", - " mc_is_q,\n", - " ) = mc_diffstar_sfh_galpop(*args)\n", - "\n", - " default_sfh = np.zeros_like(default_sfh_ms) \n", - " default_sfh[mc_is_q] = default_sfh_q[mc_is_q]\n", - " default_sfh[~mc_is_q] = default_sfh_ms[~mc_is_q]\n", - "\n", - " for i, mpeak in enumerate(mpeak_vals):\n", - " sel = (subcat.logmp0 > mpeak - 0.2) & (subcat.logmp0 < mpeak + 0.2)\n", - " mean_default_sfh = np.mean(default_sfh[sel], axis=0)\n", - " range_mean_default_sfh = np.percentile(default_sfh[sel], [15.865, 84.135], axis=0)\n", - " \n", - " ax[k+1].plot(tarr, mean_default_sfh, color=colors[i])\n", - " ax[k+1].fill_between(tarr, range_mean_default_sfh[0], range_mean_default_sfh[1], color=colors[i], alpha=0.1)\n", - "\n", - "\n", - "ax[0].set_ylim(9, 14)\n", - "ax[0].set_xticks(np.arange(1.0, 14.0, 2.0))\n", - "ax[0].set_xlabel(\"Cosmic time [Gyr]\")\n", - "ax[1].set_xlabel(\"Cosmic time [Gyr]\")\n", - "ax[2].set_xlabel(\"Cosmic time [Gyr]\")\n", - "ax[3].set_xlabel(\"Cosmic time [Gyr]\")\n", - "ax[0].set_xlim(0.0, 13.7)\n", - "\n", - "ax[1].set_yscale('log')\n", - "ax[2].set_yscale('log')\n", - "ax[3].set_yscale('log')\n", - "ax[1].set_ylim(5e-3, 5e2)\n", - "ax[2].set_ylim(5e-3, 5e2)\n", - "ax[3].set_ylim(5e-3, 5e2)\n", - "ax[0].set_ylabel(r\"$\\langle M_{\\rm halo} | M_{p,0} \\rangle [M_{\\odot}]$\")\n", - "ax[1].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", - "ax[2].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", - "ax[3].set_ylabel(r\"$\\langle \\dot{M}_\\star | M_{p,0} \\rangle [M_{\\odot}/{\\rm yr}]$\")\n", - "\n", - "ax[1].set_title(\"UniverseMachine\")\n", - "ax[2].set_title(\"IllustrisTNG\")\n", - "ax[3].set_title(\"Galacticus\")\n", - "\n", - "fig.subplots_adjust(wspace=0.25)\n", - "\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "471a75b8", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "diffstuff", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 52895433459db0c4e26467c98beae86576133c90 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 14:43:55 +0100 Subject: [PATCH 10/18] Adding dsps and diffsky to the docs dependencies for the new notebooks --- docs/source/rtd_environment.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/source/rtd_environment.yaml b/docs/source/rtd_environment.yaml index d9b877c..4c56d42 100644 --- a/docs/source/rtd_environment.yaml +++ b/docs/source/rtd_environment.yaml @@ -15,4 +15,6 @@ dependencies: - jax - jaxlib - diffmah>=0.7.0 - - h5py \ No newline at end of file + - h5py + - dsps + - diffsky \ No newline at end of file From 9689403fe1b98596a74d858088bc470415b23d49 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 14:52:42 +0100 Subject: [PATCH 11/18] Adding the new demo_diffmahpop_diffstarpop_sfh.ipynb to the index.rst file --- docs/source/index.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/index.rst b/docs/source/index.rst index 28e1eb7..e14cb5e 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -20,6 +20,7 @@ User Guide installation.rst demo_diffstar_sfh.ipynb + demo_diffmahpop_diffstarpop_sfh.ipynb reference.rst See :ref:`Citation Information ` for how to acknowledge Diffstar. From 075e12e2dbf8f66023f5cb42231e1bf2d267e81b Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 15:03:00 +0100 Subject: [PATCH 12/18] testing if this change builds readthedocs for the final_model branch --- .readthedocs.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.readthedocs.yml b/.readthedocs.yml index 9f01688..ac427bc 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -15,3 +15,9 @@ python: install: - method: pip path: . + +git: + allow_vcs: + branches: + - main + - final_model \ No newline at end of file From 179129ce6244cc3da4220aeca4d5b30c944d9276 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 15:05:24 +0100 Subject: [PATCH 13/18] Going back --- .readthedocs.yml | 6 ------ 1 file changed, 6 deletions(-) diff --git a/.readthedocs.yml b/.readthedocs.yml index ac427bc..9f01688 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -15,9 +15,3 @@ python: install: - method: pip path: . - -git: - allow_vcs: - branches: - - main - - final_model \ No newline at end of file From 8a47bc1ca8288a26e4de6826395710ab2ec3bc33 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 15:18:40 +0100 Subject: [PATCH 14/18] remove re-calculation of logmp0, using the same lgt0 when calculating the mah and creating the time table --- docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb b/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb index 798eadf..72ffa43 100644 --- a/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb +++ b/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb @@ -199,12 +199,13 @@ "from diffmah.diffmah_kernels import mah_halopop\n", "from diffstar.diffstarpop import mc_diffstar_sfh_galpop\n", "\n", + "# Create a table of times where to calculate the MAH and SFH\n", "ntimes = 50\n", - "tarr = np.linspace(T_TABLE_MIN, 13.7, ntimes)\n", - "\n", + "tarr = np.linspace(T_TABLE_MIN, LGT0, ntimes)\n", "\n", + "# Calculate the mass accreation history of every halo\n", "dmhdt_fit, log_mah_fit = mah_halopop(subcat.mah_params, tarr, LGT0)\n", - "logmp0 = log_mah_fit[:,-1]\n", + "\n", "# Manually set the infall data of each halo to no infall,\n", "# since this part of the Diffstarpop model has not been calibrated\n", "\n", From 228f6ff7ed6f2ecb8740f1ed3f86d9c78e8a6e19 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 15:19:22 +0100 Subject: [PATCH 15/18] Updating plot appearance by adding larger fontsize, using serif and activating latex --- docs/source/demo_diffstar_sfh.ipynb | 54 ++++++++++++++++++++++------- 1 file changed, 41 insertions(+), 13 deletions(-) diff --git a/docs/source/demo_diffstar_sfh.ipynb b/docs/source/demo_diffstar_sfh.ipynb index a900723..416b8f9 100644 --- a/docs/source/demo_diffstar_sfh.ipynb +++ b/docs/source/demo_diffstar_sfh.ipynb @@ -14,6 +14,41 @@ "In the cell below, we'll use the default diffmah and diffstar parameters, and then use the `sfh_singlegal` function to calculate the SFH." ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4643163", + "metadata": {}, + "outputs": [], + "source": [ + "import subprocess\n", + "from matplotlib import pyplot as plt\n", + "\n", + "\n", + "def try_enable_latex():\n", + " \"\"\"Try enabling LaTeX text rendering in matplotlib,\n", + " fallback if not available.\"\"\"\n", + " try:\n", + " # Quick check: can we run latex?\n", + " subprocess.check_call(\n", + " [\"latex\", \"--version\"],\n", + " stdout=subprocess.DEVNULL,\n", + " stderr=subprocess.DEVNULL,\n", + " )\n", + " plt.rc(\"text\", usetex=True)\n", + " plt.rc(\"font\", family=\"serif\", size=22)\n", + " plt.rc('figure', figsize=(6,4)) \n", + " print(\"LaTeX rendering enabled.\")\n", + " except (subprocess.CalledProcessError, FileNotFoundError):\n", + " # LaTeX not installed or failed\n", + " plt.rc(\"text\", usetex=False)\n", + " plt.rc(\"font\", family=\"serif\", size=22)\n", + " plt.rc('figure', figsize=(6,4)) \n", + " print(\"LaTeX not available, falling back to default mathtext.\")\n", + "\n", + "try_enable_latex()" + ] + }, { "cell_type": "code", "execution_count": null, @@ -49,7 +84,6 @@ "metadata": {}, "outputs": [], "source": [ - "from matplotlib import pyplot as plt\n", "\n", "fig, ax = plt.subplots(1, 1)\n", "ylim = ax.set_ylim(2e-3, 50)\n", @@ -58,7 +92,8 @@ "__=ax.plot(tarr, sfh_gal, color='k')\n", "\n", "xlabel = ax.set_xlabel(r'${\\rm cosmic\\ time\\ [Gyr]}$')\n", - "ylabel = ax.set_ylabel(r'${\\rm SFR\\ [M_{\\odot}/yr]}$')" + "ylabel = ax.set_ylabel(r'${\\rm SFR\\ [M_{\\odot}/yr]}$')\n", + "ax.set_xticks(np.arange(1.0, 14.0, 2.0))" ] }, { @@ -167,21 +202,14 @@ "\n", "\n", "xlabel = ax.set_xlabel(r'${\\rm cosmic\\ time\\ [Gyr]}$')\n", - "ylabel = ax.set_ylabel(r'${\\rm SFR\\ [M_{\\odot}/yr]}$')" + "ylabel = ax.set_ylabel(r'${\\rm SFR\\ [M_{\\odot}/yr]}$')\n", + "ax.set_xticks(np.arange(1.0, 14.0, 2.0))\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1b780056", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "diffstuff", "language": "python", "name": "python3" }, @@ -195,7 +223,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.11.9" } }, "nbformat": 4, From 246cc3d04b5e0bcbb4a474e5c83e555e74f30a7a Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 16:13:26 +0100 Subject: [PATCH 16/18] Adding note aboute subhalo generator --- docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb b/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb index 72ffa43..8737728 100644 --- a/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb +++ b/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb @@ -7,7 +7,7 @@ "source": [ "# Generating halo and galaxy populations with DiffmahPop and DiffstarPop\n", "\n", - "This notebook gives a basic illustrations of how to use `DiffmahPop` and `DiffstarPop` withing the `diffsky` pipeline to generate a catalog of simulated mass accretion histories and star formation histories.\n" + "This notebook gives a basic illustrations of how to use `DiffmahPop` and `DiffstarPop` withing the `diffsky` pipeline to generate a catalog of simulated mass accretion histories and star formation histories." ] }, { @@ -101,7 +101,11 @@ "source": [ "### Generate a simulated halo catalog with `diffmahpop`\n", "\n", - "Here we generate a simulated Monte Carlo realization of a subhalo catalog at a single redshift using the diffmahpop wrapper in the diffsky pipeline." + "Here we generate a simulated Monte Carlo realization of a subhalo catalog at a single redshift using the diffmahpop wrapper in the diffsky pipeline. \n", + "\n", + "The `DiffmahPop` model is a generator of mass accretion histories for a population of haloes, using the diffmah model.\n", + "\n", + "Please note that the diffmahpop wrapper within the `diffsky` repo is likely to change in the future, since it is in a development stage.\n" ] }, { From b5c1b0d31f0d64c25448bba06344c3d62e5b863d Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 16:47:55 +0100 Subject: [PATCH 17/18] Fixing typo in time table --- docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb b/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb index 8737728..0b95dbc 100644 --- a/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb +++ b/docs/source/demo_diffmahpop_diffstarpop_sfh.ipynb @@ -91,7 +91,7 @@ "\n", "# Some constants\n", "from dsps.constants import T_TABLE_MIN\n", - "from diffstar.defaults import LGT0\n" + "from diffstar.defaults import LGT0, TODAY\n" ] }, { @@ -205,7 +205,7 @@ "\n", "# Create a table of times where to calculate the MAH and SFH\n", "ntimes = 50\n", - "tarr = np.linspace(T_TABLE_MIN, LGT0, ntimes)\n", + "tarr = np.linspace(T_TABLE_MIN, TODAY, ntimes)\n", "\n", "# Calculate the mass accreation history of every halo\n", "dmhdt_fit, log_mah_fit = mah_halopop(subcat.mah_params, tarr, LGT0)\n", From b2367036e72a68aa1e5a6886317f8e270def6c99 Mon Sep 17 00:00:00 2001 From: Alex Alarcon Date: Fri, 31 Oct 2025 16:49:43 +0100 Subject: [PATCH 18/18] Adding reference to new notebook in the readme file --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index fd5c41f..28d9ef1 100644 --- a/README.md +++ b/README.md @@ -29,6 +29,8 @@ Data for this project can be found [at this URL](https://portal.nersc.gov/projec The `demo_diffstar_sfh.ipynb` notebook in the `docs` folder illustrates how to use the Diffstar model for individual SFH, and how to generate the SFH of a population of galaxies using DiffstarPop. +The `demo_diffmahpop_diffstarpop_sfh.ipynb` notebook illustrates how to generate a subhalo catalog, and how to generate SFHs for each halo using parameters that reproduce UniverseMachine, IllustrisTNG or Galacticus. + See `diffstar_fitting_script_umachine_mgash.py` for an example of how to fit the SFHs of a large number of simulated galaxies in parallel with mpi4py. The `diffstar_fitter_demo.ipynb` notebook demonstrates how to fit the SFH of a simulated galaxy with a diffstar approximation.