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snax: supernova analysis in xenon

Kara, Melih


Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Publikationstyp Vortrag
Publikationsdatum 05.03.2024
Sprache Englisch
Identifikator KITopen-ID: 1000168750
HGF-Programm 51.13.01 (POF IV, LK 01) Neutrinophysik und Dunkle Materie
Veranstaltung DPG Frühjahrstagung: Fachverband Teilchenphysik (2024), Karlsruhe, Deutschland, 04.03.2024 – 08.03.2024
Bemerkung zur Veröffentlichung During the demise of a massive star, 99% of its energy is emitted as neutrinos, preceding any optical signals. Detection of these neutrinos offers crucial insights into the core collapse and associated mechanisms.



Unlike typical neutrino detectors focusing on single flavors, large dark matter detectors such as XENONnT, LZ, and future models like DARWIN utilize coherent elastic neutrino-nucleus scattering (CEνNS) in the low-energy range to detect interactions from neutrinos of all flavors.



This presentation outlines how XENONnT and similar dark matter detectors can establish a robust analysis framework for the prompt identification and analysis of galactic supernovae through the CEνNS channel. Specifically, we look into signal simulation, identification in the data stream, and the implementation of an active software trigger for seamless communication with the Supernova Early Warning System (SNEWS). Probing inverse beta decay from the same flux using the water shield that is usually employed as an ancillary veto system could also enhance the detection significance. We conclude that dark matter detectors can play an important role in the analysis of the next galactic supernova.



This work is supported in part through the Helmholtz Initiative and Networking Fund (grant no. W2/W3-118). Support by the graduate school KSETA at KIT is gratefully acknowledged.
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