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The SNEWS 2.0 alert software for the coincident detection of neutrinos from core-collapse supernovae

Publication ,  Journal Article
Kara, M; Torres-Lara, S; Baxter, AL; BenZvi, S; Colomer Molla, M; Habig, A; Kneller, JP; Lai, M; Lang, RF; Linvill, M; Milisavljevic, D ...
Published in: Journal of Instrumentation
October 1, 2024

The neutrino signal from the next galactic core-collapse supernova will provide an invaluable early warning of the explosion. By combining the burst trigger from several neutrino detectors, the location of the explosion can be triangulated minutes to hours before the optical emission becomes visible, while also reducing the rate of false-positive triggers. To enable multi-messenger follow-up of nearby supernovae, the SuperNova Early Warning System 2.0 (SNEWS 2.0) will produce a combined alert using a global network of neutrino detectors. This paper describes the trigger publishing and alert formation framework of the SNEWS 2.0 network. The framework is built on the HOPSKOTCH publish-subscribe system to easily incorporate new detectors into the network, and it implements a coincidence system to form alerts and estimate a false-positive rate for the combined triggers. The paper outlines the structure of the SNEWS 2.0 software and the initial testing of coincident signals.

Duke Scholars

Published In

Journal of Instrumentation

DOI

EISSN

1748-0221

Publication Date

October 1, 2024

Volume

19

Issue

10

Related Subject Headings

  • Nuclear & Particles Physics
  • 51 Physical sciences
  • 40 Engineering
  • 09 Engineering
  • 02 Physical Sciences
 

Citation

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MLA
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Kara, M., Torres-Lara, S., Baxter, A. L., BenZvi, S., Colomer Molla, M., Habig, A., … Sheshukov, A. (2024). The SNEWS 2.0 alert software for the coincident detection of neutrinos from core-collapse supernovae. Journal of Instrumentation, 19(10). https://doi.org/10.1088/1748-0221/19/10/P10017
Kara, M., S. Torres-Lara, A. L. Baxter, S. BenZvi, M. Colomer Molla, A. Habig, J. P. Kneller, et al. “The SNEWS 2.0 alert software for the coincident detection of neutrinos from core-collapse supernovae.” Journal of Instrumentation 19, no. 10 (October 1, 2024). https://doi.org/10.1088/1748-0221/19/10/P10017.
Kara M, Torres-Lara S, Baxter AL, BenZvi S, Colomer Molla M, Habig A, et al. The SNEWS 2.0 alert software for the coincident detection of neutrinos from core-collapse supernovae. Journal of Instrumentation. 2024 Oct 1;19(10).
Kara, M., et al. “The SNEWS 2.0 alert software for the coincident detection of neutrinos from core-collapse supernovae.” Journal of Instrumentation, vol. 19, no. 10, Oct. 2024. Scopus, doi:10.1088/1748-0221/19/10/P10017.
Kara M, Torres-Lara S, Baxter AL, BenZvi S, Colomer Molla M, Habig A, Kneller JP, Lai M, Lang RF, Linvill M, Milisavljevic D, Migenda J, Orr C, Scholberg K, Smolsky J, Tseng J, Tunnell CD, Vasel J, Sheshukov A. The SNEWS 2.0 alert software for the coincident detection of neutrinos from core-collapse supernovae. Journal of Instrumentation. 2024 Oct 1;19(10).
Journal cover image

Published In

Journal of Instrumentation

DOI

EISSN

1748-0221

Publication Date

October 1, 2024

Volume

19

Issue

10

Related Subject Headings

  • Nuclear & Particles Physics
  • 51 Physical sciences
  • 40 Engineering
  • 09 Engineering
  • 02 Physical Sciences