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Title: GEANT4 parameter tuning using Professor

Abstract

The GEANT4 toolkit is used extensively in high energy physics to simulate the passage of particles through matter and to predict effects such as detector efficiencies and smearing. GEANT4 uses many underlying models to predict particle interaction kinematics, and uncertainty in these models leads to uncertainty in high energy physics measurements. The GEANT4 collaboration recently made free parameters in some models accessible through partnership with GEANT4 developers. We present a study of the impact of varying parameters in three GEANT4 hadronic physics models on agreement with thin target datasets and describe fits to these datasets using the Professor model tuning framework [1]. We find that varying parameters produces substantially better agreement with some datasets, but that more degrees of freedom are required for full agreement. This work is a first step towards a common framework for propagating uncertainties in GEANT4 models to high energy physics measurements, and we outline future work required to complete that goal.

Authors:
 [1];  [1];  [1];  [1];  [2];  [3];  [3];  [1];  [4];  [4];  [3];  [1];  [1]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  2. European Organization for Nuclear Research (CERN), Geneva (Switzerland); Tomsk State University (Russia)
  3. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  4. European Organization for Nuclear Research (CERN), Geneva (Switzerland)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1633955
Alternate Identifier(s):
OSTI ID: 1599325
Report Number(s):
arXiv:1910.06417; FERMILAB-PUB-19-526-SCD
Journal ID: ISSN 1748-0221
Grant/Contract Number:  
AC02-76SF00515; AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Instrumentation
Additional Journal Information:
Journal Volume: 15; Journal Issue: 02; Journal ID: ISSN 1748-0221
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; Simulation methods and programs; analysis and statistical methods; detector modelling and simulations I (interaction of radiation with matter; interaction of photons with matter; interaction of hadrons with matter; etc); models and simulations; pattern recognition; cluster finding; calibration and fitting methods; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

Citation Formats

Elvira, V., Fields, L., Genser, K. L., Hatcher, R., Ivanchenko, V., Kelsey, M., Koi, T., Perdue, G. N., Ribon, A., Uzhinsky, V., Wright, D. H., Yarba, J., and Jun, S. Y.. GEANT4 parameter tuning using Professor. United States: N. p., 2020. Web. https://doi.org/10.1088/1748-0221/15/02/p02025.
Elvira, V., Fields, L., Genser, K. L., Hatcher, R., Ivanchenko, V., Kelsey, M., Koi, T., Perdue, G. N., Ribon, A., Uzhinsky, V., Wright, D. H., Yarba, J., & Jun, S. Y.. GEANT4 parameter tuning using Professor. United States. https://doi.org/10.1088/1748-0221/15/02/p02025
Elvira, V., Fields, L., Genser, K. L., Hatcher, R., Ivanchenko, V., Kelsey, M., Koi, T., Perdue, G. N., Ribon, A., Uzhinsky, V., Wright, D. H., Yarba, J., and Jun, S. Y.. Thu . "GEANT4 parameter tuning using Professor". United States. https://doi.org/10.1088/1748-0221/15/02/p02025. https://www.osti.gov/servlets/purl/1633955.
@article{osti_1633955,
title = {GEANT4 parameter tuning using Professor},
author = {Elvira, V. and Fields, L. and Genser, K. L. and Hatcher, R. and Ivanchenko, V. and Kelsey, M. and Koi, T. and Perdue, G. N. and Ribon, A. and Uzhinsky, V. and Wright, D. H. and Yarba, J. and Jun, S. Y.},
abstractNote = {The GEANT4 toolkit is used extensively in high energy physics to simulate the passage of particles through matter and to predict effects such as detector efficiencies and smearing. GEANT4 uses many underlying models to predict particle interaction kinematics, and uncertainty in these models leads to uncertainty in high energy physics measurements. The GEANT4 collaboration recently made free parameters in some models accessible through partnership with GEANT4 developers. We present a study of the impact of varying parameters in three GEANT4 hadronic physics models on agreement with thin target datasets and describe fits to these datasets using the Professor model tuning framework [1]. We find that varying parameters produces substantially better agreement with some datasets, but that more degrees of freedom are required for full agreement. This work is a first step towards a common framework for propagating uncertainties in GEANT4 models to high energy physics measurements, and we outline future work required to complete that goal.},
doi = {10.1088/1748-0221/15/02/p02025},
journal = {Journal of Instrumentation},
number = 02,
volume = 15,
place = {United States},
year = {2020},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Table 1 Table 1: Continuous parameters available in the Bertini, PreCompound, and FTF models. A * following the parameter name indicates parameters that were included in the fits and the † following the limits indicates that ranges of parameters are not defined in Geant4, but varied typically between 50% and 200% ofmore » the default or in the given range. The asymmetry quantifies how much the parameter varies Monte Carlo Predictions as described in Sec. 4 .« less

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