Combining neutrino experimental light-curves for pointing to the next galactic core-collapse supernova

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作者
A. Coleiro
M. Colomer Molla
D. Dornic
M. Lincetto
V. Kulikovskiy
机构
[1] Université de Paris,
[2] CNRS,undefined
[3] Astroparticule et Cosmologie,undefined
[4] IFIC,undefined
[5] Instituto de Física Corpuscular (CSIC,undefined
[6] Universitat de València),undefined
[7] Aix Marseille Univ,undefined
[8] CNRS/IN2P3,undefined
[9] CPPM,undefined
[10] INFN,undefined
[11] Sezione di Genova,undefined
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The multi-messenger observation of the next galactic core-collapse supernova will shed light on the different physical processes involved in these energetic explosions. Good timing and pointing capabilities of neutrino detectors would help in the search for an electromagnetic or gravitational-wave counterparts. An approach for the determination of the arrival time delay of the neutrino signal at different experiments using a direct detected neutrino light-curve matching is discussed. A simplified supernova model and detector simulation are used for its application. The arrival time delay and its uncertainty between two neutrino detectors are estimated with chi-square and cross-correlation methods. The direct comparison of the detected light-curves offers the advantage to be model-independent. Millisecond time resolution on the arrival time delay at two different detectors is needed. Using the computed time delay between different combinations of currently operational and future detectors, a triangulation method is used to infer the supernova localisation in the sky. The combination of IceCube, Hyper-Kamiokande, JUNO and KM3NeT/ARCA provides a 90% confidence area of 140±20deg2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$140\pm 20\,\hbox {deg}^2$$\end{document}. These low-latency analysis methods can be implemented in the SNEWS alert system.
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