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Title: Implementation of Feldman-Cousins Corrections and Oscillation Calculations in the HPC Environment for the NOvA Experiment

Abstract

Analysis of neutrino oscillation data involves a combination of complex fitting procedures and statistical correction techniques that are used to determine the full three-flavor PMNS parameters and constraint contours. These techniques rely on computationally intensive “multi-universe” stochastic modeling. The process of calculating these contours and corrections can dominate final stages of the data analysis and become a bottleneck for examining the ef-fect of systematic variations on the final results. As part of the DOE SciDAC-4 sponsored research program, we present a new implementation of a neutrino oscillation fitting and framework to carry out calculations of Feldman-Cousins corrections. This implementation is specifically designed and optimized to operate on modern High-Performance Computing (HPC) facilities. We present the performance of the system in calculating allowed regions for the NOvA experiment based on 8.9 x 1020 and 6.9 x 1020 protons-on-target (POT) neutrino and antineutrino datasets, and compare the performance of this new implementation run at the NERSC supercomputing facility with that from methods used previously by the NOvA collaboration running on grid computing facilities.

Authors:
 [1];  [2];  [2];  [3];  [2];  [3];  [3];  [3];  [3];  [4]
  1. Cincinnati U.
  2. Colorado State U.
  3. Fermilab
  4. Argonne (main)
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1574962
Report Number(s):
FERMILAB-CONF-19-063-CD-ND
oai:inspirehep.net:1761023
DOE Contract Number:  
AC02-07CH11359
Resource Type:
Conference
Journal Name:
EPJ Web Conf.
Additional Journal Information:
Journal Volume: 214; Conference: 23rd International Conference on Computing in High Energy and Nuclear Physics, Sofia, Bulgaria, 07/09-07/13/2018
Country of Publication:
United States
Language:
English

Citation Formats

Sousa, Alexandre, Buchanan, Norman, Calvez, Steven, Ding, Pengfei, Doyle, Derek, Himmel, Alexander, Holzman, Burt, Kowalkowski, James, Norman, Andrew, and Peterka, Thomas. Implementation of Feldman-Cousins Corrections and Oscillation Calculations in the HPC Environment for the NOvA Experiment. United States: N. p., 2019. Web. doi:10.1051/epjconf/201921405012.
Sousa, Alexandre, Buchanan, Norman, Calvez, Steven, Ding, Pengfei, Doyle, Derek, Himmel, Alexander, Holzman, Burt, Kowalkowski, James, Norman, Andrew, & Peterka, Thomas. Implementation of Feldman-Cousins Corrections and Oscillation Calculations in the HPC Environment for the NOvA Experiment. United States. doi:10.1051/epjconf/201921405012.
Sousa, Alexandre, Buchanan, Norman, Calvez, Steven, Ding, Pengfei, Doyle, Derek, Himmel, Alexander, Holzman, Burt, Kowalkowski, James, Norman, Andrew, and Peterka, Thomas. Tue . "Implementation of Feldman-Cousins Corrections and Oscillation Calculations in the HPC Environment for the NOvA Experiment". United States. doi:10.1051/epjconf/201921405012. https://www.osti.gov/servlets/purl/1574962.
@article{osti_1574962,
title = {Implementation of Feldman-Cousins Corrections and Oscillation Calculations in the HPC Environment for the NOvA Experiment},
author = {Sousa, Alexandre and Buchanan, Norman and Calvez, Steven and Ding, Pengfei and Doyle, Derek and Himmel, Alexander and Holzman, Burt and Kowalkowski, James and Norman, Andrew and Peterka, Thomas},
abstractNote = {Analysis of neutrino oscillation data involves a combination of complex fitting procedures and statistical correction techniques that are used to determine the full three-flavor PMNS parameters and constraint contours. These techniques rely on computationally intensive “multi-universe” stochastic modeling. The process of calculating these contours and corrections can dominate final stages of the data analysis and become a bottleneck for examining the ef-fect of systematic variations on the final results. As part of the DOE SciDAC-4 sponsored research program, we present a new implementation of a neutrino oscillation fitting and framework to carry out calculations of Feldman-Cousins corrections. This implementation is specifically designed and optimized to operate on modern High-Performance Computing (HPC) facilities. We present the performance of the system in calculating allowed regions for the NOvA experiment based on 8.9 x 1020 and 6.9 x 1020 protons-on-target (POT) neutrino and antineutrino datasets, and compare the performance of this new implementation run at the NERSC supercomputing facility with that from methods used previously by the NOvA collaboration running on grid computing facilities.},
doi = {10.1051/epjconf/201921405012},
journal = {EPJ Web Conf.},
number = ,
volume = 214,
place = {United States},
year = {2019},
month = {1}
}

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Works referenced in this record:

Review of Particle Physics
journal, August 2018


Long, Cold, Early r Process? Neutrino-Induced Nucleosynthesis in He Shells Revisited
journal, May 2011


Limits on Neutrino Masses from Neutrinoless Double- β Decay
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The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
journal, March 1938


Unified approach to the classical statistical analysis of small signals
journal, April 1998


ROOT — An object oriented data analysis framework
journal, April 1997

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