Journal article
Prompt neutrino fluxes in the atmosphere with PROSA parton distribution functions
- 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 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.1MB, Terms of use)
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- Publisher copy:
- 10.1007/jhep05(2017)004
Authors
- Publisher:
- Springer
- Journal:
- Journal of High Energy Physics More from this journal
- Volume:
- 2017
- Issue:
- 5
- Publication date:
- 2017-05-02
- Acceptance date:
- 2017-04-20
- DOI:
- ISSN:
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1029-8479
- Language:
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English
- Pubs id:
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pubs:981465
- UUID:
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uuid:0e2ce953-1a79-48d4-8179-c57f588a67a7
- Local pid:
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pubs:981465
- Source identifiers:
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981465
- Deposit date:
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2019-03-12
- ARK identifier:
Terms of use
- Copyright holder:
- The PROSA Collaboration et al
- Copyright date:
- 2017
- Notes:
- © The Author(s) 2017. This article is published under an open access license.This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Licence:
- CC Attribution (CC BY)
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