Academic Journal

Precise measurement on the binding energy of hypertriton from the nuclear emulsion data using analysis with machine learning

التفاصيل البيبلوغرافية
العنوان: Precise measurement on the binding energy of hypertriton from the nuclear emulsion data using analysis with machine learning
المؤلفون: Kasagi, Ayumi, Liu, Enqiang, Nakagawa, Manami, Ekawa, Hiroyuki, Yoshida, Junya, Dou, Wenbo, Muneem, Abdul, Nakazawa, Kazuma, Rappold, Christophe, Saito, Nami, Saito, Takehiko, Taki, Masato, Tanaka, Yoshiki, Wang, He
المصدر: Suplemento de la Revista Mexicana de Física; Vol. 3 No. 3 (2022): Suplemento de la Revista Mexicana de Física. 19th International conference on hadron spectroscopy and structure in memoriam Simon Eidelman; 0308122 1-6 ; Revista Mexicana de Física; Vol. 3 Núm. 3 (2022): Suplemento de la Revista Mexicana de Física. 19th International conference on hadron spectroscopy and structure in memoriam Simon Eidelman; 0308122 1-6 ; 2683-2585
بيانات النشر: Sociedad Mexicana de Física
سنة النشر: 2022
المجموعة: Revista Mexicana de Física
مصطلحات موضوعية: hypernucleus, hypertriton, binding energy, nuclear emulsion, machine learning
الوصف: A machine learning model has been developed to search events of production and decay of a hypertriton in nuclear emulsion data, which is used for measuring the binding energy of the hypertriton at the best precision. The developed model employs an established technique for object detection and is trained with surrogate images generated by Monte Carlo simulations and image transfer techniques. The first hypertriton event has already been detected with the developed method only with 10−4 of the total emulsion data. It implies that a sufficient number of hypertriton events will soon be detected for the precise measurement of the hypertriton binding energy.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://rmf.smf.mx/ojs/index.php/rmf-s/article/view/6262/6409; https://rmf.smf.mx/ojs/index.php/rmf-s/article/view/6262
DOI: 10.31349/SuplRevMexFis.3.0308122
الاتاحة: https://rmf.smf.mx/ojs/index.php/rmf-s/article/view/6262
https://doi.org/10.31349/SuplRevMexFis.3.0308122
Rights: Copyright (c) 2022 Ayumi Kasagi, Enqiang Liu, Manami Nakagawa, Hiroyuki Ekawa, Junya Yoshida, Wenbo Dou, Abdul Muneem, Kazuma Nakazawa, Christophe Rappold, Nami Saito, Takehiko. R. Saito, Masato Taki, Yoshiki. K. Tanaka, He Wang (Author) ; https://creativecommons.org/licenses/by-nc-nd/4.0
رقم الانضمام: edsbas.EFCC84D5
قاعدة البيانات: BASE
الوصف
DOI:10.31349/SuplRevMexFis.3.0308122