TY  - JOUR
AU  - ANTARES Collaboration (Albert, A. et al
AU  - Barrios-Marti, J.
AU  - Hernandez-Rey, J. J.
AU  - Illuminati, G.
AU  - Lotze, M.
AU  - Tönnis, C.
AU  - Zornoza, J. D.
AU  - Zuñiga, J.
PY  - 2020
DA  - 2020//
TI  - Model-independent search for neutrino sources with the ANTARES neutrino telescope
T2  - Astropart Phys.
JO  - Astroparticle Physics
SP  - 35
EP  - 47
VL  - 114
PB  - Elsevier
KW  - Neutrino astronomy
KW  - Astroparticle physics
KW  - Pattern recognition
KW  - Anisotropy
AB  - 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 emission model, this approach is sensitive to a wide range of possible morphologies of potential sources of high-energy neutrino emission. The application of these methods to ANTARES data yields a large-scale excess with a post-trial significance of 2.5 sigma. Applied to public data from IceCube in its IC40 configuration, an excess consistent with the results from ANTARES is observed with a post-trial significance of 2.1 sigma.
SN  - 0927-6505
UR  - https://arxiv.org/abs/1703.04351
UR  - https://doi.org/10.1016/j.astropartphys.2019.06.003
DO  - 10.1016/j.astropartphys.2019.06.003
LA  - English
N1  - WOS:000489353300005
ID  - ANTARESCollaborationAlbert_etal2020
ER  -