Estimating Ejecta Mass Ratios in Kepler's SNR: Global X-Ray Spectral Analysis Including Suzaku Systematics and Emitting Volume Uncertainties
Tyler Holland-Ashford, Patrick Slane, Laura A. Lopez, Katie Auchettl, Vinay Kashyap

TL;DR
This study uses Suzaku X-Ray spectral analysis of Kepler's supernova remnant, accounting for calibration and volume uncertainties, to estimate ejecta mass ratios and compare them with supernova models, constraining progenitor scenarios.
Contribution
It introduces a comprehensive method that includes calibration and volume uncertainties in spectral analysis to estimate supernova ejecta mass ratios.
Findings
Mass ratios suggest a need for a ~90% attenuated $^{12}$C$+^{16}$O reaction rate.
Results are consistent with near- and sub-M$_{ m Ch}$ progenitors.
Findings are inconsistent with the stable double detonation scenario.
Abstract
The exact origins of many Type Ia supernovaeprogenitor scenarios and explosive mechanismsremain uncertain. In this work, we analyze the global Suzaku X-Ray spectrum of Kepler's supernova remnant in order to constrain mass ratios of various ejecta species synthesized during explosion. Critically, we account for the Suzaku telescope effective area calibration uncertainties of 520% by generating 100 mock effective area curves and using Markov Chain Monte Carlo based spectral fitting to produce 100 sets of best-fit parameter values. Additionally, we characterize the uncertainties from assumptions made about the emitting volumes of each model plasma component: finding that these uncertainties can be the dominant source of error. We then compare our calculated mass ratios to previous observational studies of Kepler's SNR and to the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGamma-ray bursts and supernovae · Particle Detector Development and Performance · Astronomy and Astrophysical Research
