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

XSNAP: An X-ray Supernova Analysis Pipeline with Application to the Type II Supernova 2024ggi
Ferdinand, W. V. Jacobson-Gal’an, M. M. Kasliwal, Erez A. Zimmerman
arXiv:2511.10744v3 Announce Type: replace
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 ($D approx 7.2 rm Mpc$) from ${it Swift}$-XRT, ${it Chandra}$ and ${it XMM}$, which cover $sim 1 – 344$ days since first light. We analyze these observations using a new open-source Python package called $texttt{XSNAP}$, which standardizes a unified command-line interface for instrument-specific reduction and spectral extraction. $texttt{XSNAP}$ introduces application programming interfaces for per-epoch spectral modeling through $texttt{PyXspec}$ and $texttt{emcee}$ Markov chain Monte Carlo fitting. We employ ${tt XSNAP}$ 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 $(6.2pm0.2)times10^{-5},M_{odot},mathrm{yr^{-1}}$ $(v_{rm wind} = 20 rm km s^{-1})$, 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).arXiv:2511.10744v3 Announce Type: replace
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 ($D approx 7.2 rm Mpc$) from ${it Swift}$-XRT, ${it Chandra}$ and ${it XMM}$, which cover $sim 1 – 344$ days since first light. We analyze these observations using a new open-source Python package called $texttt{XSNAP}$, which standardizes a unified command-line interface for instrument-specific reduction and spectral extraction. $texttt{XSNAP}$ introduces application programming interfaces for per-epoch spectral modeling through $texttt{PyXspec}$ and $texttt{emcee}$ Markov chain Monte Carlo fitting. We employ ${tt XSNAP}$ 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 $(6.2pm0.2)times10^{-5},M_{odot},mathrm{yr^{-1}}$ $(v_{rm wind} = 20 rm km s^{-1})$, 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).