[Paper Review] A Geant4 simulation of particle production at the Spallation Neutron Source
This paper presents a Geant4 simulation of neutrino production at the Spallation Neutron Source (SNS) using the QGSP_BERT physics list, modeling 1 GeV protons incident on a mercury target. It predicts a neutrino flux of 4.7 × 10⁷ ν cm⁻² s⁻¹ at 20 m from the target, with 99% originating from stopped π⁺ decay, and identifies the pion-production model uncertainty (±10%) as the dominant systematic in COHERENT's coherent elastic neutrino-nucleus scattering measurements.
Release of COHERENT collaboration software associated with the neutrino production studies of the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory described in arXiv:2109.11049. This simulation investigates the particle production at the SNS using Geant4, and we include both the base simulation and our analysis scripts in this package.
Motivation & Objective
- To simulate the neutrino flux produced at the Spallation Neutron Source (SNS) using Geant4 for accurate prediction of particle yields.
- To quantify the uncertainty in the simulated neutrino flux arising from the underlying pion-production model, which affects COHERENT's coherent elastic neutrino-nucleus scattering measurements.
- To support the development of a direct measurement strategy for the SNS neutrino flux using a D₂O detector to normalize simulations.
- To enable future model validation for particles like π⁰, π⁻, and η relevant to dark matter searches at the SNS.
- To improve the accuracy of low-energy neutrino flux predictions for accelerator-based neutrino experiments using the SNS as a reference source.
Proposed method
- Utilizes Geant4.10.06 with the QGSP_BERT physics list to simulate proton-induced particle production in the SNS mercury target.
- Treats the SNS target as a point source to simplify flux calculations at 20 m distance.
- Models neutrino production primarily through the decay chain of stopped π⁺ mesons, which dominate the flux at low energies.
- Applies a 10% uncertainty estimate to the pion-production model, derived from experimental and theoretical inputs.
- Uses the well-understood νₑ + d → p + p + e⁻ cross section to design a future D₂O detector for direct flux normalization.
- Proposes extending the simulation framework to model β⁺/β⁻ decays from activated materials during proton spills.
Experimental results
Research questions
- RQ1What is the predicted neutrino flux at 20 m from the SNS target under 1 GeV proton beam conditions?
- RQ2What fraction of the total neutrino flux originates from stopped π⁺ decay compared to other sources?
- RQ3How does the uncertainty in the pion-production model affect the overall systematic uncertainty in COHERENT's CEvNS measurements?
- RQ4Can a D₂O detector deployed at the SNS achieve sufficient statistical precision to directly measure the νₑ flux and normalize simulations?
- RQ5To what extent can the simulation framework be extended to model low-energy contributions from β decays of activated nuclei during proton spills?
Key findings
- The simulation predicts a total neutrino flux of 4.7 × 10⁷ ν cm⁻² s⁻¹ at 20 m from the SNS target for 1 GeV incident protons at 1.4 MW.
- Approximately 99% of the total neutrino flux is produced by the decay chain of stopped π⁺ mesons, confirming its dominance in low-energy neutrino production.
- The pion-production model uncertainty contributes a 10% systematic uncertainty to the simulated flux, which is now the dominant systematic in COHERENT's CEvNS measurements.
- The simulation framework is validated as a critical tool for estimating particle fluxes and beamline geometry effects at the SNS.
- A future D₂O detector with a mass of ~680 kg could achieve statistical precision comparable to four SNS beam-years, enabling direct normalization of the simulated flux.
- The simulation is being extended to model low-energy contributions from β⁺/β⁻ decays of activated materials during proton spills, which may affect future low-energy neutrino experiments.
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This review was created by AI and reviewed by human editors.