Mapping plasma properties of Cassiopeia A with XRISM/Resolve: a Bayesian analysis via UltraSPEX
Manan Agarwal, Jacco Vink, Liyi Gu, Paul P. Plucinsky, Aya Bamba, Toshiki Sato, Daniele Rogantini, Yuken Ohshiro

TL;DR
This study presents the first high-resolution plasma property maps of Cassiopeia A using XRISM/Resolve data, employing a Bayesian framework to analyze ejecta composition, velocities, and ionization states, revealing detailed asymmetries and physical conditions.
Contribution
Introduces UltraSPEX, a Bayesian analysis framework coupling SPEX with UltraNest, enabling comprehensive plasma parameter mapping of SNRs from high-resolution spectra.
Findings
Enhanced Ar/Si and Ca/Si ratios near Si-rich jets base
High Ni/Fe mass ratio in NE jet base
IGEs ejecta have higher velocities and broader lines than IMEs
Abstract
Mapping the physical conditions of the shocked plasma of young supernova remnants (SNR) is crucial for understanding their explosion mechanisms, ejecta structure, and large-scale asymmetries. Using ks of XRISM/Resolve high spectral resolution observations of Cassiopeia A (Cas A), the youngest known Galactic core-collapse SNR, we present the first microcalorimeter-based plasma parameter maps of any SNR. We tessellate Cas A into regions and fit the broadband spectra as thermal emission from two pure-metal ejecta components -- corresponding to intermediate-mass elements (IMEs) and iron-group elements (IGEs) -- plus nonthermal synchrotron radiation. For robust inference, we introduce UltraSPEX, a Bayesian framework that couples the SPEX plasma code with the UltraNest nested-sampling algorithm, yielding full posterior distributions and exploration of parameter…
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Solar and Space Plasma Dynamics · Gamma-ray bursts and supernovae
