26-31 July 2021
Mexico City
Mexico/General timezone
HADRON 2021 is over. Thanks for making it a success!
- hadron2021@nucleares.unam.mx
Contact information
Contribution Parallel
Mexico City
-
Hadrons in Hot and Nuclear Environment Including Hypernuclei
Precise measurement on the binding energy of hypertriton from the nuclear emulsion data using analysis with machine learning
Speakers
- Mr. Ayumi KASAGI
Primary authors
- Mr. Ayumi KASAGI (RIKEN, Gifu Univ.)
Co-authors
- Mr. Enqiang LIU (HENP RIKEN, IMP, Chinese Academy of Sciences)
- Dr. Hiroyuki EKAWA (HENP RIKEN)
- Dr. Manami NAKAGAWA (HENP RIKEN)
- Dr. Junya YOSHIDA (HENP RIKEN, Tohoku Univ.)
- Mr. Wenbo DOU (HENP RIKEN, Saitama Univ)
- Mr. Abdul MUNEEM (HENP RIKEN, GIK)
- Prof. Kazuma NAKAZAWA (Gifu Univ.)
- Dr. Cristophe RAPPOLD (IEM CSIC)
- Prof. Takehiko SAITO (HENP RIKEN, GSI, Lanzhou Univ,)
- Dr. Nami SAITO (HENP RIKEN)
- Dr. Masato TAKI (Rikkyo Univ.)
- Dr. Yoshiki TANAKA (HNEP RIKEN)
- Dr. Masahiro YOSHIMOTO (Nishina Center RIKEN)
Abstract
As a benchmark in the field of hypernuclear physics, study on the nature of hypertriton is one of the hottest topics. To solve the so-called “Hypertriton puzzle”, precise measurements on both the lifetime and binding energy are highly desired. Aiming at obtaining binding energy with high precision, we are developing a novel method using a machine learning model to detect hypertriton events recorded by the nuclear emulsion.
In this presentation, the method and status will be presented.