Prompt neutrino fluxes in the atmosphere with PROSA parton distribution functions

Garzelli, M. (II. Institute for Theoretical Physics, Hamburg University, Luruper Chaussee 149, D-22761, Hamburg, Germany) ; Moch, S. (II. Institute for Theoretical Physics, Hamburg University, Luruper Chaussee 149, D-22761, Hamburg, Germany) ; Zenaiev, O. (DESY, Hamburg, Notkestrasse 85, D-22607, Hamburg, Germany) ; Cooper-Sarkar, A. (Department of Physics, University of Oxford, Keble Road, Oxford, OX1 3RH, U.K.) ; Geiser, A. (DESY, Hamburg, Notkestrasse 85, D-22607, Hamburg, Germany) ; Lipka, K. (DESY, Hamburg, Notkestrasse 85, D-22607, Hamburg, Germany) ; Placakyte, R. (II. Institute for Theoretical Physics, Hamburg University, Luruper Chaussee 149, D-22761, Hamburg, Germany) ; Sigl, G. (II. Institute for Theoretical Physics, Hamburg University, Luruper Chaussee 149, D-22761, Hamburg, Germany)

04 May 2017

Abstract: Effects on atmospheric prompt neutrino fluxes of present uncertainties affecting the nucleon composition are studied by using the PROSA fit to parton distribution functions (PDFs). The PROSA fit extends the precision of the PDFs to low x , which is the kinematic region of relevance for high-energy neutrino production, by taking into account LHCb data on charm and bottom hadroproduction collected at the center-of-mass energy of s = 7 $$ \sqrt{s}=7 $$ TeV. In the range of neutrino energies explored by present Very Large Volume Neutrino Telescopes, it is found that PDF uncertainties are far smaller with respect to those due to renormalization and factorization scale variation and to assumptions on the cosmic ray composition, which at present dominate and limit our knowledge of prompt neutrino fluxes. A discussion is presented on how these uncertainties affect the expected number of atmospheric prompt neutrino events in the analysis of high-energy events characterized by interaction vertices fully contained within the instrumented volume of the detector, performed by the IceCube collaboration.


Published in: JHEP 1705 (2017) 004
Published by: Springer/SISSA
DOI: 10.1007/JHEP05(2017)004
arXiv: 1611.03815
License: CC-BY-4.0



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