Data Analysis, Statistics and Probability · arXiv:2105.01744 v3 · submitted 30 Apr 2021
Geant4Reweight: a framework for evaluating and propagating hadronic interaction uncertainties in GEANT4
The paper says
“Geant4Reweight is an open-source C++ framework that allows users to 1) weight tracks produced by the GEANT4 particle transport Monte Carlo simulation according to hadron interaction cross section variations and 2) estimate uncertainties in GEANT4 interaction models by comparing the simulation's hadron interaction cross section predictions to data.”
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Abstract
Geant4Reweight is an open-source C++ framework that allows users to 1) weight tracks produced by the GEANT4 particle transport Monte Carlo simulation according to hadron interaction cross section variations and 2) estimate uncertainties in GEANT4 interaction models by comparing the simulation's hadron interaction cross section predictions to data. The ability to weight hadron transport as simulated by GEANT4 is crucial to the propagation of systematic uncertainties related to secondary hadronic interactions in current and upcoming neutrino oscillation experiments, including MicroBooNE, NOvA, and DUNE, as well as hadron test beam experiments such as ProtoDUNE. We provide motivation for weighting hadron tracks in GEANT4 in the context of systematic uncertainty propagation, a description of GEANT4's transport simulation technique, and a description of our weighting technique and fitting framework in the momentum range 0–10 GeV/c, which is typical for the hadrons produced by neutrino interactions in these experiments.
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abstract compiled · 2026-09-23 · no language-model review
How the main claim is stated: asserted 1.00
What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.27 · human participants 0.02 · controlled comparison 0.09 · randomized assignment 0.01 · states quantitative result 0.13 · compares with prior results 0.09 · mentions code or data availability 0.86
The abstract, sentence by sentence
This table labels the abstract only (arXiv listing abstract v3). The number is the probability the classifier gave the label.
| Sentence | Role | The authors' own work | States the main conclusion | Strength |
|---|---|---|---|---|
| Geant4Reweight is an open-source C++ framework that allows users to 1) weight tracks produced by the GEANT4 particle transport Monte Carlo simulation according to hadron interaction cross section variations and 2) estimate uncertainties in GEANT4 interaction models by comparing the simulation's hadron interaction cross section predictions to data. | contribution 0.98 | 0.66 | 0.25 | asserted 1.00 |
| The ability to weight hadron transport as simulated by GEANT4 is crucial to the propagation of systematic uncertainties related to secondary hadronic interactions in current and upcoming neutrino oscillation experiments, including MicroBooNE, NOvA, and DUNE, as well as hadron test beam experiments such as ProtoDUNE. | background 0.96 | 0.08 | 0.11 | asserted 1.00 |
| We provide motivation for weighting hadron tracks in GEANT4 in the context of systematic uncertainty propagation, a description of GEANT4's transport simulation technique, and a description of our weighting technique and fitting framework in the momentum range 0--10 GeV/c, which is typical for the hadrons produced by neutrino interactions in these experiments. | contribution 0.90 | 0.78 | 0.10 | asserted 0.93 |
What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 0.72
What was examined, and what was not
Sources read
- arXiv listing abstract v3
Not examined
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- figures and tables
- references and citing sentences
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- P abstract
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- C citations
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How the labels were made
Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,242 input tokens.
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Cited by 4 Pith papers
Reviewed papers on Pith that cite this one. The full citation record
- First double-differential cross-section measurements in proton multiplicity and kinematics for mesonless $\nu_{\mu}$ charged-current interactions on argon using the MicroBooNE detector hep-ex · Sep 2026
- Search for an Anomalous Excess of Single Photons in the MicroBooNE Neutrino Experiment hep-ex · Jun 2025
- Search for an anomalous excess of charged-current quasi-elastic $\nu_e$ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction hep-ex · Oct 2021
- Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction hep-ex · Oct 2021
How the literature uses it
11 arXiv papers cite this in 11 sentences
Papers citing it · 2 sentences without a confident label
Uses its method or tool 9 papers
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The systematic uncertainties are estimated from (i) the neutrino flux prediction of the BNB [ref] , (ii) $ν$-argon cross section modeling from the Genie event generator [ref] , (iii) final-state hadron-argon interactions in the Geant4 simulation [ref] , (iv) residual discrepancies in detector response after calibrations [ref] , and (v) finite statistics of the MC samples used for central value predictions.
First constraints on light sterile neutrino oscillations from combined appearance and disappearance searches with the MicroBooNE detector · Introduction · 0.97
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Uncertainties related to propagation of the final-state particles emerging from the neutrino interaction are calculated using the Geant4Reweight [ref] software package.
Measurement of double-differential cross sections for mesonless charged-current muon neutrino interactions on argon with final-state protons using the MicroBooNE detector · Sources of systematic uncertainty · 1.00
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Both charged pions and proton reinteractions during propagation were considered and their impact estimated using the geant4reweight tool [ref] .
Measurement of neutral current single $\pi^0$ production on argon with the MicroBooNE detector · Systematic Uncertainty Evaluation · 1.00
What it cites · 4 sentences without a confident label
Uses the method or tool of 3 papers
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Samples of $π^+$ were generated using a particle gun in the liquid argon of the ProtoDUNE-SP detector [ref] [ref] using the LArSoft toolkit [ref] .
LArSoft: A Software Package for Liquid Argon Time Projection Drift Chambers · Reweighting examples · 0.97
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Samples of $π^+$ were generated using a particle gun in the liquid argon of the ProtoDUNE-SP detector [ref] [ref] using the LArSoft toolkit [ref] .
1706.07081 · Reweighting examples · 0.97
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Samples of $π^+$ were generated using a particle gun in the liquid argon of the ProtoDUNE-SP detector [ref] [ref] using the LArSoft toolkit [ref] .
2007.06722 · Reweighting examples · 0.97
Cites as background 4 papers
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Measurements of neutrino oscillation parameters and neutrino-nucleus ($ν$N) cross sections performed by neutrino experiments, such as T2K [ref] , MicroBooNE [ref] , NOvA [ref] , and the upcoming experiment DUNE [ref] , rely on determining the energy, flavor, sign,[Whether it is a neutrino or antineutrino] and interaction topology of the detected neutrino event.
1106.1238 · Introduction · 0.98
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Measurements of neutrino oscillation parameters and neutrino-nucleus ($ν$N) cross sections performed by neutrino experiments, such as T2K [ref] , MicroBooNE [ref] , NOvA [ref] , and the upcoming experiment DUNE [ref] , rely on determining the energy, flavor, sign,[Whether it is a neutrino or antineutrino] and interaction topology of the detected neutrino event.
First measurement of muon-neutrino disappearance in NOvA · Introduction · 0.98
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Measurements of neutrino oscillation parameters and neutrino-nucleus ($ν$N) cross sections performed by neutrino experiments, such as T2K [ref] , MicroBooNE [ref] , NOvA [ref] , and the upcoming experiment DUNE [ref] , rely on determining the energy, flavor, sign,[Whether it is a neutrino or antineutrino] and interaction topology of the detected neutrino event.
Design and Construction of the MicroBooNE Detector · Introduction · 0.98
Challenges and discussion
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