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Performance of SK-Gd’s Upgraded Real-time Supernova Monitoring System

Abstract:
Among multimessenger observations of the next Galactic core-collapse supernova, Super-Kamiokande (SK) plays a critical role in detecting the emitted supernova neutrinos, determining the direction to the supernova (SN), and notifying the astronomical community of these observations in advance of the optical signal. In 2022, SK has increased the gadolinium dissolved in its water target (SK-Gd) and has achieved a Gd concentration of 0.033%, resulting in enhanced neutron detection capability, which in turn enables more accurate determination of the supernova direction. Accordingly, SK-Gd’s real-time supernova monitoring system has been upgraded. SK_SN Notice, a warning system that works together with this monitoring system, was released on 2021 December 13, and is available through GCN Notices. When the monitoring system detects an SN-like burst of events, SK_SN Notice will automatically distribute an alarm with the reconstructed direction to the supernova candidate within a few minutes. In this paper, we present a systematic study of SK-Gd’s response to a simulated Galactic SN. Assuming a supernova situated at 10 kpc, neutrino fluxes from six supernova models are used to characterize SK-Gd’s pointing accuracy using the same tools as the online monitoring system. The pointing accuracy is found to vary from 3° to 7° depending on the models. However, if the supernova is closer than 10 kpc, SK_SN Notice can issue an alarm with three-degree accuracy, which will benefit follow-up observations by optical telescopes with large fields of view.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3847/1538-4357/ad4d8e

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Role:
Author
ORCID:
0000-0002-3926-8333
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Role:
Author
ORCID:
0000-0001-9555-6033
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ORCID:
0000-0002-8683-5038
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Author
ORCID:
0000-0003-1229-9452


Publisher:
American Astronomical Society
Journal:
The Astrophysical Journal More from this journal
Volume:
970
Issue:
1
Article number:
93
Publication date:
2024-07-19
Acceptance date:
2024-05-17
DOI:
EISSN:
1538-4357
ISSN:
0004-637X


Language:
English
Keywords:
Source identifiers:
2122441
Deposit date:
2024-07-19

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