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

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 learnin...

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Veröffentlicht in:	Astropart.Phys 2020-01, Vol.114, p.35-47
Hauptverfasser:	Albert, A., André, M., Anton, G., Ardid, M., Aubert, J.-J., Avgitas, T., Barrios-Martí, J., Basa, S., Bertin, V., Biagi, S., Bormuth, R., Bourret, S., Bouwhuis, M.C., Bruijn, R., Caramete, L., Carr, J., Celli, S., Chiarusi, T., Coelho, J.A.B., Coleiro, A., Coniglione, R., Costantini, H., Coyle, P., Creusot, A., Deschamps, A., De Bonis, G., Distefano, C., Dornic, D., Drouhin, D., Eberl, T., El Bojaddaini, I., Elsässer, D., Enzenhöfer, A., Felis, I., Fusco, L.A., Galatà, S., Geißelsöder, S., Geyer, K., Giordano, V., Gleixner, A., Glotin, H., Gracia Ruiz, R., Hallmann, S., Heijboer, A.J., Hello, Y., Hößl, J., Hugon, C., James, C.W., de Jong, M., Jongen, M., Kadler, M., Kalekin, O., Katz, U., Kreter, M., Kreykenbohm, I., Kulikovskiy, V., Lachaud, C., Lefèvre, D., Leonora, E., Lotze, M., Loucatos, S., Marcelin, M., Margiotta, A., Marinelli, A., Mathieu, A., Melis, K., Michael, T., Migliozzi, P., Mueller, C., Nezri, E., Păvălaş, G.E., Perrina, C., Piattelli, P., Pradier, T., Racca, C., Roensch, K., Sánchez-Losa, A., Saldaña, M., Samtleben, D.F.E., Sanguineti, M., Sapienza, P., Schnabel, J., Schüssler, F., Seitz, T., Sieger, C., Spurio, M., Stolarczyk, Th, Taiuti, M., Tayalati, Y., Trovato, A., Tselengidou, M., Turpin, D., Tönnis, C., Vallée, C., Van Elewyck, V., Vivolo, D., Wagner, S., Wilms, J., Zornoza, J.D., Zúñiga, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Anisotropy Anysotropy Astrofísica Astronomia i astrofísica Astroparticle physics Astropartícules Astrophysics Física Neutrino astronomy Neutrino astrophysics Neutrinos Neutrins Pattern recognition Physics Telescopes Telescopis Àrees temàtiques de la UPC
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Beschreibung
Zusammenfassung:	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 2.5σ. 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 2.1σ.
ISSN:	0927-6505 1873-2852
DOI:	10.1016/j.astropartphys.2019.06.003