Semantic Scholar Open Access 2025

Optimizing the potential of KM3NeT in detecting core-collapse supernovae

KM3NeT Collaboration O. Adriani A. Albert A. Alhebsi S. Alshalloudi M. Alshamsi +495 lainnya

Abstrak

Core-collapse supernovae mark the end of life of massive stars. However, despite their importance in astrophysics, their underlying mechanisms remain unclear. Neutrinos that emerge from the dense core of the star offer a promising way to study supernova dynamics. A strategy is presented to improve the potential of the KM3NeT neutrino telescope to detect core-collapse supernovae in our Galaxy or the Large Magellanic Cloud by further exploiting the properties of its optical modules equipped with multiple photomultipliers. A supernova burst is expected to produce a sudden hit rate increase in the KM3NeT detectors, which could be used to detect a supernova even in the absence of triggers from other experiments. New observables have been defined for individual optical modules that exploit the geometry and time distribution of the detected hits, enabling a better discrimination between signal and background signatures. In addition, a thorough investigation of the related systematic uncertainties is presented for the first time. When implemented, this new methodology allowed KM3NeT to probe 46% more Galactic core-collapse supernova candidates than with the previous trigger strategy, reaching the dense Galactic bulge. It is now expected that, once completed, KM3NeT will achieve full Galactic sensitivity to core-collapse supernovae independently from other experiments.

Topik & Kata Kunci

Penulis (500)

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KM3NeT Collaboration O. Adriani

A

A. Albert

A

A. Alhebsi

S

S. Alshalloudi

M

M. Alshamsi

S

S. A. Garre

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Format Sitasi

Adriani, K.C.O., Albert, A., Alhebsi, A., Alshalloudi, S., Alshamsi, M., Garre, S.A. et al. (2025). Optimizing the potential of KM3NeT in detecting core-collapse supernovae. https://doi.org/10.1088/1475-7516/2026/04/038

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.1088/1475-7516/2026/04/038
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Open Access ✓