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Fluxes of Atmospheric Leptons at 600 GeV - 60 TeV

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Dmitry Chirkin

High Energy Physics - Phenomenology · Submitted 7 Jul 2004

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim This correction, together with muon energy losses and decay, is shown to significantly improve the fit to the simulated data.

how it is stated · asserted 1.00 read the record →

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arXiv IDhep-ph/0407078 (version 1)
Pith ID2ZYQSAEI, Pith's permanent record of this paper and its review
CitationDmitry Chirkin. "Fluxes of Atmospheric Leptons at 600 GeV - 60 TeV." arXiv:hep-ph/0407078 (2004). https://pith.science/paper/2ZYQSAEI
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,603 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.09 · human participants 0.01 · controlled comparison 0.10 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.52 · mentions code or data availability 0.04.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

The atmospheric muon flux is generated with CORSIKA 6.030 (using QGSJET high-energy interaction model) and fitted with the formula from Gaisser (1990). Spectra and mass distribution of primaries were taken according to the poli-gonato model of Horandel (2003). A convenient parameterization of the cos(th)->cos(th*) correction, originally tabulated in Volkova (1969), is presented. This correction, together with muon energy losses and decay, is shown to significantly improve the fit to the simulated data.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The atmospheric muon flux is generated with CORSIKA 6.030 (using QGSJET high-energy interaction model) and fitted with the formula from Gaisser (1990). method 1.00 0.67 0.04 asserted 1.00
s1 Spectra and mass distribution of primaries were taken according to the poli-gonato model of Horandel (2003). method 1.00 0.23 0.03 asserted 0.99
s2 A convenient parameterization of the cos(th)->cos(th*) correction, originally tabulated in Volkova (1969), is presented. contribution 0.61 0.50 0.06 asserted 0.99
s3 This correction, together with muon energy losses and decay, is shown to significantly improve the fit to the simulated data. result 0.93 0.86 0.41 asserted 1.00

What kind of paper the classifier reports this is: simulation study 0.93 · evidence from simulation or computation 1.00.

What was examined, and what was not

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not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

The atmospheric muon flux is generated with CORSIKA 6.030 (using QGSJET high-energy interaction model) and fitted with the formula from Gaisser (1990). Spectra and mass distribution of primaries were taken according to the poli-gonato model of Horandel (2003). A convenient parameterization of the cos(th)->cos(th*) correction, originally tabulated in Volkova (1969), is presented. This correction, together with muon energy losses and decay, is shown to significantly improve the fit to the simulated data.

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References
How the literature uses it

9 arXiv papers cite this in 9 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 7 sentences without a confident label

Uses its method or tool 1 paper
Uses its data or values 1 paper
  • The flux is then compared to our prediction, coming from a homemade Monte-Carlo code using the energy loss data provided by the Particle Data Group [ref] and the parametrisation of the atmospheric flux spectrum provided in [ref] .

    RPC application in muography and specific developments · Data analysis · 0.91

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