Journal Article/Contribution to a conference proceedings

FZJ-2021-00825

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Speeding up complex multivariate data analysis in Borexino with parallel computing based on Graphics Processing Unit

Ding, X. F. ; Vishneva, A. ; Penek, Ö. (Corresponding author)FZJ* ; Marcocci, S. ; Borexino Collaboration

2020
IOP Publ.87703 Bristol

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Please use a persistent id in citations: http://hdl.handle.net/2128/27070  doi:10.1088/1742-6596/1342/1/012115

Abstract: A spectral fitter based on the graphics processor unit (GPU) has been developed for Borexino solar neutrino analysis. It is able to shorten the fitting time to a superior level compared to the CPU fitting procedure. In Borexino solar neutrino spectral analysis, fitting usually requires around one hour to converge since it includes time-consuming convolutions in order to account for the detector response and pile-up effects. Moreover, the convergence time increases to more than two days when including extra computations for the discrimination of 11C and external γs. In sharp contrast, with the GPU-based fitter it takes less than 10 seconds and less than four minutes, respectively. This fitter is developed utilizing the GooFit project with customized likelihoods, pdfs and infrastructures supporting certain analysis methods. In this proceeding the design of the package, developed features and the comparison with the original CPU fitter are presented.

Keyword(s): neutrino: solar ; Borexino ; spectral ; graphics ; pile-up

Note: 5 pages, 2 figures, proceeding for TAUP 2017 XV International Conference on Topics in Astroparticle and Underground Physics

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Contributing Institute(s):

1. Experimentelle Hadrondynamik (IKP-2)

Research Program(s):

1. 612 - Cosmic Matter in the Laboratory (POF3-612) (POF3-612)

Appears in the scientific report 2020

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Database coverage:
; ; ; SCOPUS

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