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...
| Authors: | , , , , , , , , , , , |
|---|---|
| Format: | article |
| Publication Date: | 2019 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/167339 |
| Online Access: | https://hdl.handle.net/2117/167339 https://dx.doi.org/10.1016/j.astropartphys.2019.06.003 |
| Access Level: | Open access |
| Keyword: | Neutrino astrophysics Neutrinos Telescopes Neutrino astronomy Astroparticle physics Pattern recognition Anysotropy Neutrins Astrofísica Telescopis Astropartícules Àrees temàtiques de la UPC::Física::Astronomia i astrofísica |
| Summary: | 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 2.5s. 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 2.1s. |
|---|