Classification of signal events for CPT symmetry studies with J-PET using machine learning techniques

2024
journal article
article
dc.abstract.enThe deviations from combined Charge, Parity, and Time (CPT) symmetry could indicate the presence of new physics beyond the current theoretical framework. The positronium (Ps), the lightest bound state of an electron–positron pair, offers a unique probe for such investigations because it is an eigenstate of charge conjugation (C) and parity (P). This work explores the potential of the Jagiellonian Positron Emission Tomography (J-PET) detector for sensitive tests of CPT symmetry in the three-photon decay of ortho-Ps (o-Ps) atom. The CPT symmetry invariance in o-Ps decays has been previously tested using the J-PET detector, measuring the CPT-violating angular correlation between the o-Ps spin and its annihilation photon momenta, achieving a precision of 0.00067 $\pm$ 0.00095. However, a range of five orders of magnitude is still unexplored to test its exactness. A Monte Carlo simulation study is presented to distinguish between the o-Ps signal and background events using Multivariate Data Analysis (TMVA). We discuss the impact of improving the sample purity in enhancing the sensitivity of the CPT symmetry test.
dc.affiliationSzkoła Doktorska Nauk Ścisłych i Przyrodniczych
dc.affiliationWydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Fizyki im. Mariana Smoluchowskiego
dc.contributor.authorChug, Neha - 417025
dc.contributor.authorMoskal, Paweł - 100401
dc.date.accessioned2024-12-11T11:56:44Z
dc.date.available2024-12-11T11:56:44Z
dc.date.issued2024
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalPresented at the 5th Jagiellonian Symposium on Advances in Particle Physics and Medicine, Cracow, Poland, June 29–July 7, 2024
dc.description.number7
dc.description.versionostateczna wersja wydawcy
dc.description.volume17
dc.identifier.articleid7-A2
dc.identifier.doi10.5506/APhysPolBSupp.17.7-A2
dc.identifier.issn1899-2358
dc.identifier.urihttps://ruj.uj.edu.pl/handle/item/499760
dc.languageeng
dc.language.containereng
dc.rightsUdzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.typeotwarte czasopismo
dc.subtypeArticle
dc.titleClassification of signal events for CPT symmetry studies with J-PET using machine learning techniques
dc.title.journalActa Physica Polonica B, Proceedings Supplement
dc.typeJournalArticle
dspace.entity.typePublicationen
dc.abstract.en
The deviations from combined Charge, Parity, and Time (CPT) symmetry could indicate the presence of new physics beyond the current theoretical framework. The positronium (Ps), the lightest bound state of an electron–positron pair, offers a unique probe for such investigations because it is an eigenstate of charge conjugation (C) and parity (P). This work explores the potential of the Jagiellonian Positron Emission Tomography (J-PET) detector for sensitive tests of CPT symmetry in the three-photon decay of ortho-Ps (o-Ps) atom. The CPT symmetry invariance in o-Ps decays has been previously tested using the J-PET detector, measuring the CPT-violating angular correlation between the o-Ps spin and its annihilation photon momenta, achieving a precision of 0.00067 $\pm$ 0.00095. However, a range of five orders of magnitude is still unexplored to test its exactness. A Monte Carlo simulation study is presented to distinguish between the o-Ps signal and background events using Multivariate Data Analysis (TMVA). We discuss the impact of improving the sample purity in enhancing the sensitivity of the CPT symmetry test.
dc.affiliation
Szkoła Doktorska Nauk Ścisłych i Przyrodniczych
dc.affiliation
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Fizyki im. Mariana Smoluchowskiego
dc.contributor.author
Chug, Neha - 417025
dc.contributor.author
Moskal, Paweł - 100401
dc.date.accessioned
2024-12-11T11:56:44Z
dc.date.available
2024-12-11T11:56:44Z
dc.date.issued
2024
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additional
Presented at the 5th Jagiellonian Symposium on Advances in Particle Physics and Medicine, Cracow, Poland, June 29–July 7, 2024
dc.description.number
7
dc.description.version
ostateczna wersja wydawcy
dc.description.volume
17
dc.identifier.articleid
7-A2
dc.identifier.doi
10.5506/APhysPolBSupp.17.7-A2
dc.identifier.issn
1899-2358
dc.identifier.uri
https://ruj.uj.edu.pl/handle/item/499760
dc.language
eng
dc.language.container
eng
dc.rights
Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licence
CC-BY
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subtype
Article
dc.title
Classification of signal events for CPT symmetry studies with J-PET using machine learning techniques
dc.title.journal
Acta Physica Polonica B, Proceedings Supplement
dc.type
JournalArticle
dspace.entity.typeen
Publication
Affiliations

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