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Search for Galactic Core-collapse Supernovae in a Decade of Data Taken with the IceCube Neutrino Observatory

Abstract:
The IceCube Neutrino Observatory has been continuously taking data to search for O(0.5–10) s long neutrino bursts since 2007. Even if a Galactic core-collapse supernova is optically obscured or collapses to a black hole instead of exploding, it will be detectable via the O(10) MeV neutrino burst emitted during the collapse. We discuss a search for such events covering the time between 2008 April 17 and 2019 December 31. Considering the average data taking and analysis uptime of 91.7% after all selection cuts, this is equivalent to 10.735 yr of continuous data taking. In order to test the most conservative neutrino production scenario, the selection cuts were optimized for a model based on an 8.8 solar mass progenitor collapsing to an O–Ne–Mg core. Conservative assumptions on the effects of neutrino oscillations in the exploding star were made. The final selection cut was set to ensure that the probability to detect such a supernova within the Milky Way exceeds 99%. No such neutrino burst was found in the data after performing a blind analysis. Hence, a 90% C.L. upper limit on the rate of core-collapse supernovae out to distances of ≈25 kpc was determined to be 0.23 yr−1. For the more distant Magellanic Clouds, only high neutrino luminosity supernovae will be detectable by IceCube, unless external information on the burst time is available. We determined a model-independent limit by parameterizing the dependence on the neutrino luminosity and the energy spectrum
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3847/1538-4357/ad07d1
Publication website:
https://www.research.unipd.it/bitstream/11577/3523199/2/Abbasi_2024_ApJ_961_84.pdf

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Author
ORCID:
0000-0001-6141-4205
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Role:
Author
ORCID:
0000-0001-8952-588X
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ORCID:
0000-0002-9714-8866
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Author
ORCID:
0000-0003-2252-9514


Publisher:
American Astronomical Society
Journal:
The Astrophysical Journal More from this journal
Volume:
961
Issue:
1
Pages:
84-84
Publication date:
2024-01-16
DOI:
EISSN:
1538-4357
ISSN:
0004-637X


Language:
English
Keywords:
Pubs id:
1611202
Local pid:
pubs:1611202
Source identifiers:
W4390907531
Deposit date:
2026-06-05
ARK identifier:
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