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Neutrino clustering in the Milky Way and beyond
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
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Number of Authors: 62020 (English)In: Journal of Cosmology and Astroparticle Physics, E-ISSN 1475-7516, no 1, article id 015Article in journal (Refereed) Published
Abstract [en]

The standard cosmological model predicts the existence of a Cosmic Neutrino Background, which has not yet been observed directly. Some experiments aiming at its detection are currently under development, despite the tiny kinetic energy of the cosmological relic neutrinos, which makes this task incredibly challenging. Since massive neutrinos are attracted by the gravitational potential of our Galaxy, they can cluster locally. Neutrinos should be more abundant at the Earth position than at an average point in the Universe. This fact may enhance the expected event rate in any future experiment. Past calculations of the local neutrino clustering factor only considered a spherical distribution of matter in the Milky Way and neglected the influence of other nearby objects like the Virgo cluster, although recent N-body simulations suggest that the latter may actually be important. In this paper, we adopt a back-tracking technique, well established in the calculation of cosmic rays fluxes, to perform the first three-dimensional calculation of the number density of relic neutrinos at the Solar System, taking into account not only the matter composition of the Milky Way, but also the contribution of the Andromeda galaxy and the Virgo cluster. The effect of Virgo is indeed found to be relevant and to depend non-trivially on the value of the neutrino mass. Our results show that the local neutrino density is enhanced by 0.53% for a neutrino mass of 10 meV, 12% for 50 meV, 50% for 100 meV or 500% for 300 meV.

Place, publisher, year, edition, pages
2020. no 1, article id 015
Keywords [en]
cosmological neutrinos, galaxy clustering, cosmological simulations
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:su:diva-181998DOI: 10.1088/1475-7516/2020/01/015ISI: 000528025800016Scopus ID: 2-s2.0-85081972456OAI: oai:DiVA.org:su-181998DiVA, id: diva2:1432293
Available from: 2020-05-26 Created: 2020-05-26 Last updated: 2023-03-28Bibliographically approved

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Publisher's full textScopusarXiv:1910.13388

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de Salas, Pablo FernándezGariazzo, S.Pastor, S.

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