The influence of supernova remnants on the interstellar medium in the Large Magellanic Cloud seen at 20--600 $\mu$m wavelengths
Ma\v{s}a Laki\'cevi\'c, Jacco Th. van Loon, Margaret Meixner, Karl, Gordon, Caroline Bot, Julia Roman-Duval, Brian Babler, Alberto Bolatto, Chad, Engelbracht, Miroslav Filipovi\'c, Sacha Hony, Remy Indebetouw, Karl Misselt,, Edward Montiel, K. Okumura, Pasquale Panuzzo

TL;DR
This study analyzes how supernova remnants in the Large Magellanic Cloud affect interstellar dust, revealing dust heating and destruction rates through FIR observations, suggesting supernovae may destroy more dust than they create.
Contribution
First FIR atlas of SNRs in the LMC showing dust heating and destruction, providing new estimates of dust destruction rates and lifetime due to supernova activity.
Findings
SNRs heat surrounding dust as shown in temperature maps.
Supernova remnants remove approximately 3.7 solar masses of dust per event.
Estimated dust destruction rate in the LMC is 0.037 solar masses per year.
Abstract
We present the analysis of supernova remnants (SNRs) in the Large Magellanic Cloud (LMC) and their influence on the environment at far-infrared (FIR) and submillimeter wavelengths. We use new observations obtained with the {\it Herschel} Space Observatory and archival data obtained with the {\it Spitzer} Space Telescope, to make the first FIR atlas of these objects. The SNRs are not clearly discernible at FIR wavelengths, however their influence becomes apparent in maps of dust mass and dust temperature, which we constructed by fitting a modified black-body to the observed spectral energy distribution in each sightline. Most of the dust that is seen is pre-existing interstellar dust in which SNRs leave imprints. The temperature maps clearly reveal SNRs heating surrounding dust, while the mass maps indicate the removal of 3.7 M of dust per SNR. This agrees with…
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.
