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Title: Numerical integration of detector response functions via Monte Carlo simulations

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 particle-emitting target, and the entire experimental environment. As such, these functions are typically only accessible through time-consuming 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 Chi-Nu experiment, which measures prompt fission neutron spectra at the Los Alamos Neutron Science Center.
Authors:
 [1] ;  [1] ;  [1] ;  [1] ; ORCiD logo [1] ;  [1] ;  [1] ; ORCiD logo [1] ;  [1] ;  [2] ;  [2] ; ORCiD logo [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Report Number(s):
LA-UR-17-22123
Journal ID: ISSN 0168-9002; TRN: US1702526
Grant/Contract Number:
AC52-06NA25396
Type:
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 0168-9002
Publisher:
Elsevier
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Detector Response, MCNP, lithium-glass detector
OSTI Identifier:
1364576

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., 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. https://www.osti.gov/servlets/purl/1364576.
@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 particle-emitting target, and the entire experimental environment. As such, these functions are typically only accessible through time-consuming 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 Chi-Nu 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}
}