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Model-independent search for neutrino sources with the ANTARES neutrino telescope

Author
Albert, A.; Andre, M.; Anghinolfi, M.; Anton, G.; Ardid, M.; Aubert, J.; Avgitas, T.; Barrios, J.; Basa, S.; Bertin, V.; Biagi, S.; Bormuth, R.
Type of activity
Journal article
Journal
Astroparticle physics
Date of publication
2020-01-01
Volume
114
First page
35
Last page
47
DOI
10.1016/j.astropartphys.2019.06.003
Repository
http://hdl.handle.net/2117/167339 Open in new window
https://arxiv.org/abs/1703.04351 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0927650517300725 Open in new window
Abstract
A novel method to analyse the spatial distribution of neutrino candidates recorded with the ANTARES neutrino telescope is introduced, searching for an excess of neutrinos in a region of arbitrary size and shape from any direction in the sky. Techniques originating from the domains of machine learning, pattern recognition and image processing are used to purify the sample of neutrino candidates and for the analysis of the obtained skymap. In contrast to a dedicated search for a specific neutrino ...
Citation
Albert, A. [et al.]. Model-independent search for neutrino sources with the ANTARES neutrino telescope. "Astroparticle physics", 1 Gener 2020, vol. 114, p. 35-47.
Keywords
Anysotropy, Astroparticle physics, Neutrino astronomy, Pattern recognition
Group of research
LAB - Laboratory of Applied Bioacoustics

Participants

  • Albert, A.  (author)
  • Andre Sanchez, Michel  (author)
  • Anghinolfi, Marco  (author)
  • Anton, Gisela  (author)
  • Ardid Ramírez, Miguel  (author)
  • Aubert, J.-J.  (author)
  • Avgitas, T.  (author)
  • Barrios Martí, Javier  (author)
  • Basa, S.  (author)
  • Bertin, Vincent  (author)
  • Biagi, S.  (author)
  • Bormuth, R.  (author)

Attachments