Bayesian insights in Tycho supernova remnant : a detailed mapping of ejecta properties
L. Godinaud, F. Acero, A. Decourchelle, and J. Ballet

TL;DR
This study uses Bayesian spectral analysis of Chandra X-ray data to map ejecta properties in Tycho's supernova remnant, revealing velocity asymmetries and element distributions that inform explosion models.
Contribution
It provides the first detailed Bayesian spatially-resolved mapping of ejecta physical properties and velocity asymmetries in Tycho's SNR, enhancing understanding of its explosion dynamics.
Findings
Confirmed large-scale north-south velocity asymmetry.
Mapped spatial distributions of temperature and ionization for ejecta.
Detected a new emission line possibly related to oxygen.
Abstract
While Tycho's supernova remnant is one of the most studied type Ia Galactic supernova remnants, a global view of the physical properties of its ejecta is lacking, to understand its mysteries. In particular, the spatial distribution of the Si-rich ejecta line-of-sight velocity presents a large-scale unexplained asymmetry, with the north dominantly blueshifted and the south redshifted. To investigate the origin of this line-of-sight velocity asymmetry in the ejecta, we carry out a detailed X-ray spatially-resolved spectral analysis of the entire shocked ejecta in Tycho's SNR to determine the physical properties of its various components. This study is based on the archival deep X-ray observations from the Chandra space telescope. The spatially-resolved spectral analysis in 211 regions over the entire SNR is based on a tesselation method applied to the line-of-sight velocity map. A…
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Gamma-ray bursts and supernovae · Ionosphere and magnetosphere dynamics
