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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.
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The abstract, sentence by sentence
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
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| 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 |
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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.
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References
How the literature uses it
18 arXiv papers cite this in 27 sentences
Papers citing it · 21 sentences without a confident label
Contests it 1 paper
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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
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[ref] , but we expand upon these works by considering a broader range of yield particles beyond photons, as well as polarised final states.
Effect of polarisation and choice of event generator on spectra from dark matter annihilations · Introduction · 1.00
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Here, we focused on DM particle mass of $1$ TeV (see [ref] for the same analysis with $100 GeV$ DM annihilating into $W^+W^-$, $bb̅$, $τ^+τ^-$ or $500$ GeV DM mass in the case of $tt̅$ and further details on $1$ TeV DM mass for more channels).
Gamma-ray and neutrino fluxes from Heavy Dark Matter in the Galactic Center · Monte Carlo uncertainty on photons flux · 0.85
Uses its data or values 1 paper
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The multiplicity behavior is well approximated by the following power law relation with the DM mass: [equation] The $a$ and $b$ coefficients are given in [ref] .
Gamma-ray and neutrino fluxes from Heavy Dark Matter in the Galactic Center · Monte Carlo uncertainty on photons flux · 0.93
Compares with it 1 paper
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Minor differences may be explained by: 1) newly updated data by the H.E.S.S. collaboration in the region [ref] ; 2) the inclusion of the DRAGON background model instead of the simple power-law [ref] ; 3) the use of a different Monte Carlo event generator software to model the gamma-ray annihilation flux [ref] .
Multi-TeV dark matter density in the inner Milky Way halo: spectral and dynamical constraints · VIR · 0.87
Cites it as background 1 paper
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We discuss here briefly sources for uncertainties in the predicted photon spectrum (see [ref] for an earlier assessment), and leave a more detailed study to a future publication.
A description of the Galactic Center excess in the Minimal Supersymmetric Standard Model · Uncertainties in the predicted photon spectrum · 0.93
What it cites · 4 sentences without a confident label
Cites as background 3 papers
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Therefore, let us study separately the technicalities of each part as follows (read [ref] for further details):
Monte Carlo Event Generators · Monte Carlo Parton Shower · 0.96
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On the other hand, local DM can be detected in a direct or indirect way [ref] .
Dark matter with photons · Introduction · 0.94
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On the other hand, local DM can be detected in a direct or indirect way [ref] .
Spectral Study of the HESS J1745-290 Gamma-Ray Source as Dark Matter Signal · Introduction · 0.94
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