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DTSTAMP:20230124T171524Z
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DTSTART;TZID=America/Chicago:20221117T083000
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UID:submissions.supercomputing.org_SC22_sess275_rpost162@linklings.com
SUMMARY:Analyzing NOvA Neutrino Data with the Perlmutter Supercomputer
DESCRIPTION:Posters, Research Posters\n\nAnalyzing NOvA Neutrino Data with
  the Perlmutter Supercomputer\n\nBuchanan, Calvez, Doyle, Hewes, Himmel...
 \n\nNOvA is a world-leading neutrino physics experiment that is making mea
 surements of fundamental neutrino physics parameters and performing search
 es for physics beyond the Standard Model. These measurements must leverage
  high performance computing facilities to perform data intensive computati
 ons and execute complex statistical analyses. We outline the NOvA analysis
  workflows we have implemented on NERSC Cori and Perlmutter systems. We ha
 ve developed an implicitly-parallel data-filtering framework for high ener
 gy physics data based on pandas and HDF5. We demonstrate scalability of th
 e framework and advantages of an aggregated monolithic dataset by using a 
 realistic neutrino cross-section measurement. We also demonstrate the perf
 ormance and scalability of the computationally intensive profiled Feldman-
 Cousins procedure for statistical analysis. This process performs statisti
 cal confidence interval construction based on non-parametric Monte Carlo s
 imulation and was applied to the NOvA sterile neutrino search. We show the
  NERSC Perlmutter system provides an order of magnitude computing performa
 nce gain over Cori.\n\nRegistration Category: Tech Program Reg Pass, Exhib
 its Reg Pass
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