A living, multiwavelength census of supernova remnants in the Magellanic Clouds — the MC counterpart to Green's Galactic SNR catalogue and SNRcat. Currently compiles 80 confirmed + 44 candidate SNRs in LMC from literature. SMC SNRs to be cataloged later.
Live site: https://whyvav.github.io/MCSNRcat/
Each object page includes a multiwavelength viewer (DSS2 optical, SHASSA Hα,
eROSITA-DE DR1 X-ray, XMM-Newton EPIC, RACS-low & SUMSS radio, GALEX UV,
AllWISE mid-IR, 2MASS near-IR via Aladin Lite),
X-ray/radio/energetics properties, and one-click links out to SIMBAD,
ESASky, ADS, and VizieR. Locally, object pages also show pipeline-generated
cutout PNGs (eROSITA / DeMCELS Hα & [S II] / ASKAP 888 MHz — see
images/README.md); this project is unpublished/private for now, so those
images stay gitignored and off the public repo/site (see "Imagery" below).
An object is a confirmed SNR when it satisfies at least two of the three classical criteria (Filipović et al. 1998; Bozzetto et al. 2017): (1) non-thermal radio spectral index α < −0.4; (2) diffuse X-ray emission; (3) shock-enhanced [S II]/Hα ≥ 0.4. One criterion → candidate.
- Maggi et al. 2016, A&A 585, A162 (XMM-Newton X-ray population)
- Bozzetto et al. 2017, ApJS 230, 2 (radio/statistical)
- Leahy 2017, ApJ 837, 36 (energetics)
- Yew et al. 2021, MNRAS 500, 2336 (optical)
- Maitra et al. 2019, MNRAS 490, 5494 (J0513-6724)
- Maitra et al. 2021, MNRAS 504, 326 (J0507-6847)
- Sasaki et al. 2022, A&A 661, A37 (eROSITA; J0529-7004)
- Filipović et al. 2022, MNRAS 512, 265 (J0624-6948 discovery)
- Kavanagh et al. 2022, MNRAS 515, 4099 (XMM faint/evolved)
- Bozzetto et al. 2022, MNRAS 518, 2574 (ASKAP)
- Zangrandi et al. 2024, A&A 692, A237 (eROSITA census)
- Zangrandi et al. 2026, A&A 709, A207 (eROSITA Paper II: spectra + XLF)
- Sasaki et al. 2025, A&A 693, L15 (XMM/MeerKAT; J0614-7251 & J0624-6948)
- Shukla 2024, MSc Thesis (consolidation; J0500-6512 confirmation)
Versioned CSV → build.py → static site. No database, no server code,
no Excel. The CSV data/lmc_snrs_extended_v<N>.csv is the hand-editable
source of truth; build.py auto-selects the highest version and validates
it. catalog.py provides safe helper commands (confirm, set, validate,
new-version) for routine updates. VLMism
reads this CSV for its Phase-1 catalog (it no longer produces it).
v4 is a systematic re-extraction of every object's record across all cited papers, adding new derived properties (cross-checked SN types, literature ages/energetics, eROSITA spectral fits and X-ray luminosity-function parameters) without changing the v3 confirmed/candidate census or IDs.
MCSNRcat/
├── data/lmc_snrs_extended_v<N>.csv ← input catalog (source of truth; latest wins)
├── build.py ← generator + validator (pandas + stdlib)
├── catalog.py ← maintenance CLI (confirm / set / validate / new-version)
├── images/ ← multiwavelength cutout PNGs + manifest.csv
│ └── <slug>/<slug>_<band>.png generated by VLMism scripts/04_build_snr_images.py;
│ gitignored (local-only, see "Imagery" below)
├── site/ ← built output (gitignored; CI rebuilds it)
│ ├── index.html census table + filters + clickable sky map
│ ├── objects/<ID>.html ×124: Aladin Lite viewer, cutout panel, grouped
│ │ properties, SIMBAD/ESASky/ADS/VizieR links
│ ├── about.html criteria, sources, citation, imagery credits
│ └── catalog.{csv,json} machine-readable downloads
└── .github/workflows/deploy.yml GitHub Pages CI
Static by design: free, permanent, versionable, zero maintenance, trivially
mirrored/archived. Streamed survey imagery comes client-side from HiPS
(Aladin Lite). build.py can additionally pick up curated per-object cutout PNGs
under images/ (provenance in images/manifest.csv), produced by the
VLMism Phase-2 pipeline from eROSITA-DE
DR1, DeMCELS DR1, and ASKAP-EMU data — but locally only for now.
images/ (pipeline cutout PNGs + manifest.csv, written by VLMism
scripts/04_build_snr_images.py) is gitignored — see images/README.md
for its layout. When present, build.py copies it into site/images/ and
each object page's "Multiwavelength cutouts" panel (plus the About page's
imagery credits and images/manifest.csv links) appears automatically; when
absent — as in the GitHub Actions checkout that builds the public site —
build.py skips it silently and those sections are simply omitted, so the
public site never links to cutouts it doesn't have.
python build.py --out site # auto-selects the latest catalog version
python -m http.server -d site 8000 # open http://localhost:8000(Opening site/index.html directly via a file:// URL will render the
census table but not the sky viewers — browsers block ES module imports and
some fetches on file:// origins. Always preview through a local server.)
Download: CSV · JSON. Corrections, new objects, or missing references: please open an issue.
Until the accompanying paper is published, please cite this website by URL & data version, and the Master's Thesis this catalog builds on:
@mastersthesis{Shukla2024_MThesis,
title = {{X}-ray {Evolution} of {Supernova} {Remnants} in the {Large} {Magellanic} {Cloud}},
shorttitle = {{X}-ray {Evolution} of {LMC} {SNRs}},
url = {https://www.sternwarte.uni-erlangen.de/docs/theses/2024-11_Shukla.pdf},
language = {en},
school = {FAU Erlangen-N{\"u}rnberg},
author = {Shukla, Vaibhav},
month = nov,
year = {2024}
}Data and content are released under CC-BY 4.0 — reuse is welcome with attribution. See LICENSE.
Maintained by V. Shukla.