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A Galactic dust devil: far-infrared observations of the Tornado supernova remnant candidate

Authors :
Jeonghee Rho
Haley Louise Gomez
Mikako Matsuura
Loretta Dunne
I. De Looze
Alberto Noriega-Crespo
Andreas Papageorgiou
F. D. Priestley
H. Chawner
M. J. Barlow
A. D. P. Howard
Matthew Smith
K. A. Marsh
Source :
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Monthly Notices of the Royal Astronomical Society
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

We present complicated dust structures within multiple regions of the candidate supernova remnant (SNR) the `Tornado' (G357.7-0.1) using observations with Spitzer and Herschel. We use Point Process Mapping, PPMAP, to investigate the distribution of dust in the Tornado at a resolution of 8", compared to the native telescope beams of 5-36". We find complex dust structures at multiple temperatures within both the head and the tail of the Tornado, ranging from 15 to 60K. Cool dust in the head forms a shell, with some overlap with the radio emission, which envelopes warm dust at the X-ray peak. Akin to the terrestrial sandy whirlwinds known as `Dust Devils', we find a large mass of dust contained within the Tornado. We derive a total dust mass for the Tornado head of 16.7 solar masses, assuming a dust absorption coefficient of kappa_300 =0.56m^2 kg^1, which can be explained by interstellar material swept up by a SNR expanding in a dense region. The X-ray, infra-red, and radio emission from the Tornado head indicate that this is a SNR. The origin of the tail is more unclear, although we propose that there is an X-ray binary embedded in the SNR, the outflow from which drives into the SNR shell. This interaction forms the helical tail structure in a similar manner to that of the SNR W50 and microquasar SS433.<br />16 pages, 10 figures + 3 appendix figures. Accepted to be published in MNRAS

Details

ISSN :
13652966 and 00358711
Volume :
499
Database :
OpenAIRE
Journal :
Monthly Notices of the Royal Astronomical Society
Accession number :
edsair.doi.dedup.....923c98fc288263e75bf4e1d43b4e76d2