Amplitude analysis of four-body decays using a massively-parallel fitting framework

The GooFit Framework is designed to perform maximum-likelihood fits for arbitrary functions on various parallel back ends, for example a GPU. We present an extension to GooFit which adds the functionality to perform time-dependent amplitude analyses of pseudoscalar mesons decaying into four pseudosc...

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Detalles Bibliográficos
Autores principales: Hasse, C., Albrecht, J., Alves, A.A., d'Argent, P., Evans, T.D., Rademacker, J., Sokoloff, M.D.
Lenguaje:eng
Publicado: 2017
Materias:
physics.data-an
Computing and Computers
physics.comp-ph
hep-ex
Particle Physics - Experiment
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/898/7/072016
http://cds.cern.ch/record/2257660
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author Hasse, C.
Albrecht, J.
Alves, A.A.
d'Argent, P.
Evans, T.D.
Rademacker, J.
Sokoloff, M.D.
author_facet Hasse, C.
Albrecht, J.
Alves, A.A.
d'Argent, P.
Evans, T.D.
Rademacker, J.
Sokoloff, M.D.
author_sort Hasse, C.
collection CERN
description The GooFit Framework is designed to perform maximum-likelihood fits for arbitrary functions on various parallel back ends, for example a GPU. We present an extension to GooFit which adds the functionality to perform time-dependent amplitude analyses of pseudoscalar mesons decaying into four pseudoscalar final states. Benchmarks of this functionality show a significant performance increase when utilizing a GPU compared to a CPU. Furthermore, this extension is employed to study the sensitivity on the mixing parameters x and y in a time-dependent amplitude analysis of the decay D0 → K+π−π+π−. Studying a sample of 50 000 events and setting the central values to the world average of x = (0.49 ± 0.15)% and y = (0.61 ± 0.08)%, the statistical sensitivities of x and y are determined to be σ(x) = 0.019 % and σ(y) = 0.019 %.
id cern-2257660
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling cern-22576602023-02-21T05:25:23Zdoi:10.1088/1742-6596/898/7/072016http://cds.cern.ch/record/2257660engHasse, C.Albrecht, J.Alves, A.A.d'Argent, P.Evans, T.D.Rademacker, J.Sokoloff, M.D.Amplitude analysis of four-body decays using a massively-parallel fitting frameworkphysics.data-anComputing and Computersphysics.comp-phhep-exParticle Physics - ExperimentThe GooFit Framework is designed to perform maximum-likelihood fits for arbitrary functions on various parallel back ends, for example a GPU. We present an extension to GooFit which adds the functionality to perform time-dependent amplitude analyses of pseudoscalar mesons decaying into four pseudoscalar final states. Benchmarks of this functionality show a significant performance increase when utilizing a GPU compared to a CPU. Furthermore, this extension is employed to study the sensitivity on the mixing parameters x and y in a time-dependent amplitude analysis of the decay D0 → K+π−π+π−. Studying a sample of 50 000 events and setting the central values to the world average of x = (0.49 ± 0.15)% and y = (0.61 ± 0.08)%, the statistical sensitivities of x and y are determined to be σ(x) = 0.019 % and σ(y) = 0.019 %.The GooFit Framework is designed to perform maximum-likelihood fits for arbitrary functions on various parallel back ends, for example a GPU. We present an extension to GooFit which adds the functionality to perform time-dependent amplitude analyses of pseudoscalar mesons decaying into four pseudoscalar final states. Benchmarks of this functionality show a significant performance increase when utilizing a GPU compared to a CPU. Furthermore, this extension is employed to study the sensitivity on the $D^0 - \bar{D}^0$ mixing parameters $x$ and $y$ in a time-dependent amplitude analysis of the decay $D^0 \rightarrow K^+\pi^-\pi^+\pi^-$. Studying a sample of 50 000 events and setting the central values to the world average of $x = (0.49 \pm0.15) \%$ and $y = (0.61 \pm0.08) \%$, the statistical sensitivities of $x$ and $y$ are determined to be $\sigma(x) = 0.019 \%$ and $\sigma(y) = 0.019 \%$.arXiv:1702.06735oai:cds.cern.ch:22576602017-02-22
spellingShingle physics.data-an
Computing and Computers
physics.comp-ph
hep-ex
Particle Physics - Experiment
Hasse, C.
Albrecht, J.
Alves, A.A.
d'Argent, P.
Evans, T.D.
Rademacker, J.
Sokoloff, M.D.
Amplitude analysis of four-body decays using a massively-parallel fitting framework
title Amplitude analysis of four-body decays using a massively-parallel fitting framework
title_full Amplitude analysis of four-body decays using a massively-parallel fitting framework
title_fullStr Amplitude analysis of four-body decays using a massively-parallel fitting framework
title_full_unstemmed Amplitude analysis of four-body decays using a massively-parallel fitting framework
title_short Amplitude analysis of four-body decays using a massively-parallel fitting framework
title_sort amplitude analysis of four-body decays using a massively-parallel fitting framework
topic physics.data-an
Computing and Computers
physics.comp-ph
hep-ex
Particle Physics - Experiment
url https://dx.doi.org/10.1088/1742-6596/898/7/072016
http://cds.cern.ch/record/2257660
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AT albrechtj amplitudeanalysisoffourbodydecaysusingamassivelyparallelfittingframework
AT alvesaa amplitudeanalysisoffourbodydecaysusingamassivelyparallelfittingframework
AT dargentp amplitudeanalysisoffourbodydecaysusingamassivelyparallelfittingframework
AT evanstd amplitudeanalysisoffourbodydecaysusingamassivelyparallelfittingframework
AT rademackerj amplitudeanalysisoffourbodydecaysusingamassivelyparallelfittingframework
AT sokoloffmd amplitudeanalysisoffourbodydecaysusingamassivelyparallelfittingframework

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