Chandra ACIS Survey of M33 (ChASeM33): X-ray Imaging Spectroscopy of M33SNR21, the Brightest X-ray Supernova Remnant in M33
Terrance J. Gaetz, William P. Blair, John P. Hughes, P. Frank Winkler,, Knox S. Long, Thomas G. Pannuti, Benjamin Williams, Richard J. Edgar, Parviz, Ghavamian, Paul P. Plucinsky, Manami Sasaki, Robert P. Kirshner, Miguel, Avillez, and Dieter Breitschwerdt

TL;DR
This paper presents detailed X-ray imaging and spectral analysis of M33SNR21, the brightest supernova remnant in M33, revealing its shell structure, interaction with surrounding material, and estimating its age, density, and luminosity.
Contribution
It provides the first high-resolution Chandra X-ray imaging and spectral modeling of M33SNR21, offering new insights into its physical properties and evolutionary state.
Findings
Shell diameter ~20 pc with brightness asymmetry.
Shock temperature ~0.46 keV and age ~7600 years.
X-ray luminosity ~1.7 x 10^{37} erg/s.
Abstract
We present and interpret new X-ray data for M33SNR21, the brightest X-ray supernova remnant (SNR) in M33. The SNR is in seen projection against (and appears to be interacting with) the bright HII region NGC592. Data for this source were obtained as part of the Chandra ACIS Survey of M33 (ChASeM33) Very Large Project. The nearly on-axis Chandra data resolve the SNR into a ~5" diameter (20 pc at our assumed M33 distance of 817+/-58 kpc) slightly elliptical shell. The shell is brighter in the east, which suggests that it is encountering higher density material in that direction. The optical emission is coextensive with the X-ray shell in the north, but extends well beyond the X-ray rim in the southwest. Modeling the X-ray spectrum with an absorbed sedov model yields a shock temperature of 0.46(+0.01,-0.02) keV, an ionization timescale of n_e t = cm…
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.
