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Reliability of Monte Carlo event generators for gamma ray dark matter searches

High Energy Physics - Phenomenology · Submitted 9 May 2013

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

The authors' main claim For all the studied channels, the intrinsic differences between them are shown to be significative and may play an important role in misunderstanding dark matter signals.

how it is stated · asserted 0.62 read the record →

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arXiv ID1305.2124 (version 3)
Pith IDZLGDMWCC, Pith's permanent record of this paper and its review
CitationA. de la Cruz-Dombriz, A. L. Maroto, J. A. R. Cembranos, R. A. Lineros, V. Gammaldi. "Reliability of Monte Carlo event generators for gamma ray dark matter searches." arXiv:1305.2124 (2013). https://pith.science/paper/ZLGDMWCC
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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, 3,002 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.23 · human participants 0.02 · controlled comparison 0.10 · randomized assignment 0.02 · states quantitative result 0.07 · compares with prior results 0.52 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v3. Results and the main claim are underlined; .

We study the differences in the gamma ray spectra simulated by four Monte Carlo event generator packages developed in particle physics. Two different versions of PYTHIA and two of HERWIG are analyzed, namely PYTHIA 6.418 and HERWIG 6.5.10 in Fortran and PYTHIA 8.165 and HERWIG 2.6.1 in C++. For all the studied channels, the intrinsic differences between them are shown to be significative and may play an important role in misunderstanding dark matter signals.

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 We study the differences in the gamma ray spectra simulated by four Monte Carlo event generator packages developed in particle physics. contribution 1.00 0.90 0.05 asserted 0.57
s1 Two different versions of PYTHIA and two of HERWIG are analyzed, namely PYTHIA 6.418 and HERWIG 6.5.10 in Fortran and PYTHIA 8.165 and HERWIG 2.6.1 in C++. method 0.94 0.60 0.02 asserted 0.86
s2 For all the studied channels, the intrinsic differences between them are shown to be significative and may play an important role in misunderstanding dark matter signals. interpretation 0.53 0.92 0.88 asserted 0.62

What kind of paper the classifier reports this is: simulation study 1.00 · evidence from simulation or computation 0.98.

What was examined, and what was not

sources read
  • arXiv listing abstract v3
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • 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

We study the differences in the gamma ray spectra simulated by four Monte Carlo event generator packages developed in particle physics. Two different versions of PYTHIA and two of HERWIG are analyzed, namely PYTHIA 6.418 and HERWIG 6.5.10 in Fortran and PYTHIA 8.165 and HERWIG 2.6.1 in C++. For all the studied channels, the intrinsic differences between them are shown to be significative and may play an important role in misunderstanding dark matter signals.

Human review
References
How the literature uses it

18 arXiv papers cite this in 27 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 · 21 sentences without a confident label

Contests it 1 paper
  • It has recently been pointed out that there are discrepancies [ref] between the gamma ray spectra calculated with (Fortran version) and [ref] (C++ version), that software analysis using interpolating functions can overestimate the energy cut-off of the gamma-ray spectra [ref] , and that not considering electroweak corrections can also create deviations between predicted DM annihilitions spectra [ref] .

    Dark Matter and Pulsar Model Constraints from Galactic Center Fermi-LAT Gamma Ray Observations · Dark Matter and Pulsars Maps · contest 0.72

Builds on it 2 papers
Uses its data or values 1 paper
Compares with it 1 paper
Cites it as background 1 paper

What it cites · 4 sentences without a confident label

Cites as background 3 papers

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