Looking at Supernova Explosions with COSI
ORAL
Abstract
A core-collapse supernova, the inaugural multi-messenger source in astrophysics, offered insights from the electromagnetic spectrum and thermal neutrinos. Gamma-ray observations shaped our understanding of these events, but early data gaps hindered a complete picture. The upcoming Compton Spectrometer and Imager (COSI) mission promises a new era in gamma-ray astronomy, delving into stellar nucleosynthesis. Our work involves simulating COSI observations with MEGAlib and comparing them to realistic backgrounds to gauge sensitivity and detection rates. The aim is to amass a robust dataset for rapid analysis when COSI launches in 2027, contributing to broader multi-messenger context insights and inferring spectral information. Unraveling supernova details, including progenitor star properties, will refine our understanding of elemental production and influence supernova simulations.
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Presenters
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David C Palmore
Louisiana State University
Authors
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David C Palmore
Louisiana State University
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Eric Burns
Louisiana State University
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Aimee Hungerford
Los Alamos Natl Lab
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Chris L Fryer
Los Alamos National Laboratory (LANL)