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Vol. 58 (2024), Contributions
Vol. 58 (2024)
Contributions

Supernova Remnant Signatures in Emission-Line Surveys of the Magellanic Clouds with NOIRLab's DECam

DOI: https://doi.org/10.22201/ia.14052059p.2024.58.16
R. N. M. Williams
Department of Earth and Space Sciences, Columbus State University, 4225 University Avenue, Columbus, Georgia 31907.
S. D. Points
NSF's NOIRLab/CTIO, Casilla 603, La Serena, Chile.
K. S. Long
Space Telescope Science Institute, 3700 San Martin Dr, Baltimore MD 21218, USA. & Eureka Scientific, Inc. 2452 Delmer Street, Suite 100, Oakland, CA 94602-3017.
W. P. Blair
The William H. Miller III Department of Physics and Astronomy, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA
P. F. Winkler
Department of Physics, Middlebury College, Middlebury, VT, 05753, USA.
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Keywords

ISM: supernova remnants

How to Cite

Supernova Remnant Signatures in Emission-Line Surveys of the Magellanic Clouds with NOIRLab’s DECam. (2024). Revista Mexicana De Astrofísica Y Astronomía Serie De Conferencias, 58, 48-50. https://doi.org/10.22201/ia.14052059p.2024.58.16
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Abstract

We describe our use of newly obtained DECam Hα and [S II] surveys of the Large Magellanic Cloud (LMC), to study its supernova remnant (SNR) population. We review the SNR signatures, including elevated [S II]/Hα ratios, used to identify and characterize these objects. This includes recovering known SNRs in the data, verifying SNR candidates suggested by other instruments, and searching for previously unidentified SNR candidtates. We highlight specific examples from this survey, including examination of the detailed optical structure of confirmed and candidate SNRs.

Resumen

Describimos el uso de datos obtenidos con el sondeo DECam de Hα y [S ii] de la Gran Nube de Magallanes (LMC), para estudiar su población de remanentes de supernovas (SNR). Revisamos las firmas observacionales de SNR, incluyendo los cocientes elevados de [S ii]/Hα, que se utilizan para identificar y caracterizar estos objetos. Esto incluye recuperar SNR conocidos en los datos, corroborar candidatos a SNR sugeridos por otros instrumentos y buscar candidatos a SNR no identificados previamente. Destacamos ejemplos específicos de este sondeo, incluido el análisis de la estructuraóptica de SNR confirmados y candidatos.

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