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Averaging issue in misaligned coarse channels #162

Description

@d3v-null

When preprocessing an observation where a coarse channel ends early, birli is not correctly averaging the final timestamp on that coarse channel.

we'll use mwa-demo to test this

git clone https://github.com/mwaTelescope/mwa-demo
cd mwa-demo
mkdir -p demo/data/1128352792/raw
curl -L -o demo/data/1128352792/raw/1128352792_20151008151937_gpubox07_00.fits 'https://projects.pawsey.org.au/birli-test/1128352792_20151008151937_gpubox07_00.fits'
curl -L -o demo/data/1128352792/raw/1128352792_20151008151937_gpubox08_00.fits 'https://projects.pawsey.org.au/birli-test/1128352792_20151008151937_gpubox08_00.fits'

birli preprocess only first antenna and last few timesteps, no averaging (2s)

mkdir -p demo/data//1128352792/prep/
birli \
  -m demo/data/1128352792/raw/1128352792.metafits \
  --sel-time 50 53 --sel-ants 0 --flag-edge-width 80 \
  -u demo/data//1128352792/prep/birli_2s_1128352792.uvfits \
  demo/data//1128352792/raw/1128352792_2*.fits
    Scheduled start:      2015-10-08 15:19:35.000 UTC, unix=1444317575.000, gps=1128352792.000, mjd=4951034375.000, lmst= 3.5080°, lmst2k= 3.3100°, lat2k=-26.7907°                                                                                                                             
    Scheduled end:        2015-10-08 15:21:27.000 UTC, unix=1444317687.000, gps=1128352904.000, mjd=4951034487.000, lmst= 3.9759°, lmst2k= 3.7783°, lat2k=-26.7907°                                                                                                                             
    Scheduled duration:   112.000s =  56 * 2.000s                                                                                                                                                                                                                                               
    Quack duration:       2.000s =   1 * 2.000s                                                                                                                                                                                                                                                 
    Output duration:      8.000s =   4 * 2.000s                                                                                                                                                                                                                                                 
    Scheduled Bandwidth:  30.720MHz =  24 *  32 * 40.000kHz                                                                                                                                                                                                                                     
    Output Bandwidth:     2.560MHz =        64 * 40.000kHz                                                                                                                                                                                                                                      
    Timestep details (all=56, provided=54, common=53, good=52, select=4, flag=4):                                                                                                                                                                                                               
            2015-10-08 UTC +  unix [s]        gps [s]         p  c  g  s  f                                                                                                                                                                                                                     
      ts0:      15:19:35.000  1444317575.000  1128352792.000  p  c        f                                                                                                                                                                                                                     
      ts1:      15:19:37.000  1444317577.000  1128352794.000  p  c  g                                                                                                                                                                                                                           
...
     ts50:      15:21:15.000  1444317675.000  1128352892.000  p  c  g  s                                                                                                                                                                                                                        
     ts51:      15:21:17.000  1444317677.000  1128352894.000  p  c  g  s                                                                                                                                                                                                                        
     ts52:      15:21:19.000  1444317679.000  1128352896.000  p  c  g  s                                                                                                                                                                                                                        
     ts53:      15:21:21.000  1444317681.000  1128352898.000  p        s  f                  

    Coarse channel details (metafits=24, provided=2, common=2, good=2, select=2, flag=22, ranges=1):
            gpu  corr  rec  cen [MHz]  p  c  g  s  f  range 
...
     cc16:    8     7  147   188.1600  p  c  g  s     0 (0-23) 
     cc17:    7     6  148   189.4400  p  c  g  s     0 (0-23) 
...                                                                                                                                                                                            

plot and export auto magnitudes to tsv

demo/04_ssins.py demo/data/1128352792/prep/birli_2s_1128352792.uvfits --no-diff --threshold 9999 --export-tsv

birli_2s_1128352792 auto spectrum

gps_time	 187.5350	 187.5750	 187.6150	 187.6550	 187.6950	 187.7350	 187.7750	 187.8150	 187.8550	 187.8950	 187.9350	 187.9750	 188.0150	 188.0550	 188.0950	 188.1350	 188.1750	 188.2150	 188.2550	 188.2950	 188.3350	 188.3750	 188.4150	 188.4550	 188.4950	 188.5350	 188.5750	 188.6150	 188.6550	 188.6950	 188.7350	 188.7750	 188.8150	 188.8550	 188.8950	 188.9350	 188.9750	 189.0150	 189.0550	 189.0950	 189.1350	 189.1750	 189.2150	 189.2550	 189.2950	 189.3350	 189.3750	 189.4150	 189.4550	 189.4950	 189.5350	 189.5750	 189.6150	 189.6550	 189.6950	 189.7350	 189.7750	 189.8150	 189.8550	 189.8950	 189.9350	 189.9750	 190.0150	 190.0550
1128352893.000	-0.000	-0.001	-0.002	-0.005	0.004	-0.003	0.002	-0.005	0.005	0.007	-0.003	-0.000	-0.003	-0.003	0.008	0.003	-0.001	-0.001	-0.007	-0.003	0.004	-0.008	0.003	-0.002	-0.001	-0.007	-0.004	-0.001	-0.002	0.002	-0.005	0.002	0.444	0.445	0.442	0.437	0.444	0.447	0.447	0.440	0.448	0.445	0.436	0.436	0.441	0.450	0.433	0.437	0.435	0.433	0.446	0.433	0.443	0.442	0.437	0.443	0.440	0.445	0.444	0.439	0.436	0.449	0.430	0.428
1128352895.000	-0.004	-0.001	0.002	0.008	-0.003	-0.006	-0.002	-0.000	0.002	0.002	-0.000	0.000	-0.006	0.007	-0.002	0.001	0.002	-0.007	0.003	0.006	-0.003	0.000	-0.000	-0.002	0.002	-0.000	-0.002	-0.005	0.006	0.004	0.008	0.001	0.435	0.434	0.445	0.442	0.433	0.437	0.442	0.442	0.440	0.451	0.443	0.438	0.438	0.428	0.445	0.438	0.433	0.436	0.442	0.447	0.432	0.445	0.443	0.438	0.444	0.444	0.442	0.441	0.444	0.435	0.447	0.453
1128352897.000	0.000	0.006	-0.003	-0.004	-0.002	0.002	0.000	0.004	-0.004	-0.006	0.005	0.000	0.005	-0.005	-0.008	-0.003	-0.001	-0.001	-0.003	0.002	-0.000	-0.000	-0.001	-0.000	0.005	-0.001	0.012	0.007	0.001	-0.005	0.004	-0.001	0.444	0.444	0.437	0.445	0.447	0.440	0.434	0.442	0.435	0.427	0.444	0.449	0.445	0.446	0.445	0.448	0.456	0.455	0.435	0.444	0.449	0.437	0.443	0.443	0.440	0.434	0.438	0.444	0.444	0.439	0.446	0.443
1128352899.000	0.004	-0.004	0.003	0.001	0.001	0.007	-0.000	0.001	-0.003	-0.003	-0.002	-0.000	0.005	0.001	0.002	-0.001	0.000	0.010	0.007	-0.005	-0.001	0.008	-0.002	0.004	-0.006	0.008	-0.005	-0.001	-0.005	-0.000	-0.007	-0.001	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324	-1.324

the last timestep on channel 148 is all negative, but that's fine because it's all flagged.

birli preprocess only first antenna and last few timesteps, averaging to 4s

birli \
  -m demo/data/1128352792/raw/1128352792.metafits \
  --sel-time 50 53 --sel-ants 0 --flag-edge-width 80 \
  --avg-time-res 4 \
  -u demo/data//1128352792/prep/birli_4s_1128352792.uvfits \
  demo/data//1128352792/raw/1128352792_2*.fits
demo/04_ssins.py demo/data/1128352792/prep/birli_4s_1128352792.uvfits --no-diff --threshold 9999 --export-tsv

birli_4s_1128352792 auto spectrum

gps_time	 187.5350	 187.5750	 187.6150	 187.6550	 187.6950	 187.7350	 187.7750	 187.8150	 187.8550	 187.8950	 187.9350	 187.9750	 188.0150	 188.0550	 188.0950	 188.1350	 188.1750	 188.2150	 188.2550	 188.2950	 188.3350	 188.3750	 188.4150	 188.4550	 188.4950	 188.5350	 188.5750	 188.6150	 188.6550	 188.6950	 188.7350	 188.7750	 188.8150	 188.8550	 188.8950	 188.9350	 188.9750	 189.0150	 189.0550	 189.0950	 189.1350	 189.1750	 189.2150	 189.2550	 189.2950	 189.3350	 189.3750	 189.4150	 189.4550	 189.4950	 189.5350	 189.5750	 189.6150	 189.6550	 189.6950	 189.7350	 189.7750	 189.8150	 189.8550	 189.8950	 189.9350	 189.9750	 190.0150	 190.0550
1128352894.000	-0.002	-0.001	0.002	0.002	0.001	-0.003	-0.000	-0.003	0.004	0.005	-0.003	-0.000	-0.005	0.004	0.006	0.002	0.000	-0.001	0.000	-0.001	0.000	-0.004	0.001	-0.001	-0.002	-0.002	-0.007	-0.005	0.000	0.004	0.002	0.001	0.440	0.440	0.003	-0.002	-0.003	0.001	0.004	-0.000	0.444	0.008	-0.002	-0.004	0.439	0.439	-0.002	-0.004	0.434	-0.008	0.003	0.440	0.437	0.443	0.440	0.441	0.442	0.445	0.002	0.440	0.440	0.001	0.439	0.441
1128352898.000	0.002	0.001	-0.002	-0.002	-0.001	0.003	0.000	0.003	-0.004	-0.005	0.003	0.000	0.005	-0.004	-0.006	-0.002	-0.000	0.001	-0.000	0.001	-0.000	0.004	-0.001	0.001	0.002	0.002	0.007	0.005	-0.000	-0.004	-0.002	-0.001	-0.440	-0.440	-0.003	0.002	0.003	-0.001	-0.004	0.000	-0.444	-0.008	0.002	0.004	-0.439	-0.439	0.002	0.004	-0.434	0.008	-0.003	-0.440	-0.437	-0.443	-0.440	-0.441	-0.442	-0.445	-0.002	-0.440	-0.440	-0.001	-0.439	-0.441

Now some negative values (not all) have made it into the last timestamp, and because not all of the visibilities that went into these were all flagged, these values are not flagged, they're just down-weighted.

Average should not be including these flagged values.

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