Numerical integration of detector response functions via Monte Carlo simulations
Abstract
Calculations of detector response functions are complicated because they include the intricacies of signal creation from the detector itself as well as a complex interplay between the detector, the particleemitting target, and the entire experimental environment. As such, these functions are typically only accessible through timeconsuming Monte Carlo simulations. Furthermore, the output of thousands of Monte Carlo simulations can be necessary in order to extract a physics result from a single experiment. Here we describe a method to obtain a full description of the detector response function using Monte Carlo simulations. We also show that a response function calculated in this way can be used to create Monte Carlo simulation output spectra a factor of ~1000× faster than running a new Monte Carlo simulation. A detailed discussion of the proper treatment of uncertainties when using this and other similar methods is provided as well. Here, this method is demonstrated and tested using simulated data from the ChiNu experiment, which measures prompt fission neutron spectra at the Los Alamos Neutron Science Center.
 Authors:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
 Publication Date:
 Research Org.:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Sponsoring Org.:
 USDOE
 OSTI Identifier:
 1364576
 Report Number(s):
 LAUR1722123
Journal ID: ISSN 01689002; TRN: US1702526
 Grant/Contract Number:
 AC5206NA25396
 Resource Type:
 Journal Article: Accepted Manuscript
 Journal Name:
 Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
 Additional Journal Information:
 Journal Volume: 866; Journal ID: ISSN 01689002
 Publisher:
 Elsevier
 Country of Publication:
 United States
 Language:
 English
 Subject:
 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Detector Response, MCNP, lithiumglass detector
Citation Formats
Kelly, Keegan John, O'Donnell, John M., Gomez, Jaime A., Taddeucci, Terry Nicholas, Devlin, Matthew James, Haight, Robert Cameron, White, Morgan Curtis, Mosby, Shea Morgan, Neudecker, D., Buckner, Matthew Quinn, Wu, Ching Yen, and Lee, Hye Young. Numerical integration of detector response functions via Monte Carlo simulations. United States: N. p., 2017.
Web. doi:10.1016/j.nima.2017.05.048.
Kelly, Keegan John, O'Donnell, John M., Gomez, Jaime A., Taddeucci, Terry Nicholas, Devlin, Matthew James, Haight, Robert Cameron, White, Morgan Curtis, Mosby, Shea Morgan, Neudecker, D., Buckner, Matthew Quinn, Wu, Ching Yen, & Lee, Hye Young. Numerical integration of detector response functions via Monte Carlo simulations. United States. doi:10.1016/j.nima.2017.05.048.
Kelly, Keegan John, O'Donnell, John M., Gomez, Jaime A., Taddeucci, Terry Nicholas, Devlin, Matthew James, Haight, Robert Cameron, White, Morgan Curtis, Mosby, Shea Morgan, Neudecker, D., Buckner, Matthew Quinn, Wu, Ching Yen, and Lee, Hye Young. 2017.
"Numerical integration of detector response functions via Monte Carlo simulations". United States.
doi:10.1016/j.nima.2017.05.048.
@article{osti_1364576,
title = {Numerical integration of detector response functions via Monte Carlo simulations},
author = {Kelly, Keegan John and O'Donnell, John M. and Gomez, Jaime A. and Taddeucci, Terry Nicholas and Devlin, Matthew James and Haight, Robert Cameron and White, Morgan Curtis and Mosby, Shea Morgan and Neudecker, D. and Buckner, Matthew Quinn and Wu, Ching Yen and Lee, Hye Young},
abstractNote = {Calculations of detector response functions are complicated because they include the intricacies of signal creation from the detector itself as well as a complex interplay between the detector, the particleemitting target, and the entire experimental environment. As such, these functions are typically only accessible through timeconsuming Monte Carlo simulations. Furthermore, the output of thousands of Monte Carlo simulations can be necessary in order to extract a physics result from a single experiment. Here we describe a method to obtain a full description of the detector response function using Monte Carlo simulations. We also show that a response function calculated in this way can be used to create Monte Carlo simulation output spectra a factor of ~1000× faster than running a new Monte Carlo simulation. A detailed discussion of the proper treatment of uncertainties when using this and other similar methods is provided as well. Here, this method is demonstrated and tested using simulated data from the ChiNu experiment, which measures prompt fission neutron spectra at the Los Alamos Neutron Science Center.},
doi = {10.1016/j.nima.2017.05.048},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = ,
volume = 866,
place = {United States},
year = 2017,
month = 6
}

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