XSNAP: An X-ray Supernova Analysis Pipeline with Application to the Type II Supernova 2024ggi

Abstract

X-ray observations of Type II supernovae (SNe II) probe the physics of supernova (SN) shocks and the mass-loss histories of their progenitor stars. We present multi-epoch, X-ray observations of SN II 2024ggi ($D\approx 7.2\mathrm{Mpc}$) from $Swift$-XRT, $Chandra$ and $XMM$, which cover $\sim 1-344$ days since first light. We analyze these observations using a new open-source Python package called $\text{XSNAP}$, which standardizes a unified command-line interface for instrument-specific reduction and spectral extraction. $\text{XSNAP}$ introduces application programming interfaces for per-epoch spectral modeling through $\text{PyXspec}$ and $\text{emcee}$ Markov chain Monte Carlo fitting. We employ $\mathtt{XSNAP}$ to model the multi-epoch X-ray spectra of SN 2024ggi with an absorbed thermal bremsstrahlung model and calculate a steady progenitor mass-loss rate of $(6.2\pm 0.2)\times 10^{-5}{M}_{\odot }\mathrm{y}{\mathrm{r}}^{-1}$ $(v_{\mathrm{wind}}=20\mathrm{km}{\mathrm{s}}^{-1})$, for which the detected X-ray emission traces the final 117 years before explosion. The software is publicly available on GitHub, with a released package on the Python Package Index (PyPI).

12 pages, 4 figures, 2 tables, accepted to ApJ. Software code is available at https://xsnap.org or https://pypi.org/p/xsnap/

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Cited by in corpus (1)

• X-Ray Observation of Type II Supernova 2024ggi