Logo image
Observation of seasonal variations of the flux of high-energy atmospheric neutrinos with IceCube
Journal article   Open access   Peer reviewed

Observation of seasonal variations of the flux of high-energy atmospheric neutrinos with IceCube

IceCube Collaboration, Kunal Deoskar, Chad Finley, Attila Hidvegi, Klas Hultqvist, Matti Jansson, Christian Walck, Michael A Campana, Xinyue Kang, Michael G Kovacevich, …
The European physical journal. C, Particles and fields, v 83(9), 777
04 Sep 2023
url
https://doi.org/10.1140/epjc/s10052-023-11679-5View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Atmospheric muon neutrinos are produced by meson decays in cosmic-ray-induced air showers. The flux depends on meteorological quantities such as the air temperature, which affects the density of air. Competition between decay and re-interaction of those mesons in the first particle production generations gives rise to a higher neutrino flux when the air density in the stratosphere is lower, corresponding to a higher temperature. A measurement of a temperature dependence of the atmospheric ?mu, flux provides a novel method for constraining hadronic interaction models of air showers. It is particularly sensitive to the production of kaons. Studying this temperature dependence for the first time requires a large sample of high-energy neutrinos as well as a detailed understanding of atmospheric properties. We report the significant (> 10 s) observation of a correlation between the rate of more than 260,000 neutrinos, detected by IceCube between 2012 and 2018, and atmospheric tem-peratures of the stratosphere, measured by the Atmospheric Infrared Sounder (AIRS) instrument aboard NASA's AQUA satellite. For the observed 10% seasonal change of effective atmospheric temperature we measure a 3.5(3)% change in the muon neutrino flux. This observed correlation deviates by about 2-3 standard deviations from the expected correla-tion of 4.3% as obtained from theoretical predictions under the assumption of various hadronic interaction models.

Metrics

7 Record Views
9 citations in Scopus

Details

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Physics, Particles & Fields
Logo image