activity
20232025
most citedBinding energy of and via image analyses of nuclear emulsions using deep-learning

6 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

nucl-ex2025

Excitation Spectra of the Reaction near the -Meson Emission Threshold Measured in Coincidence with High-Momentum Protons

R. Sekiya, K. Itahashi, Y. K. Tanaka +74

The missing mass of the reaction has been measured near the -meson emission threshold in coincidence with a high-momentum proton to selectively collect $η…

physics.ins-det2025

Performance of newly constructed plastic scintillator barrel in the WASA-FRS experiments and evaluation of radiation damage effects on multi-pixel photon counter

Y. K. Tanaka, R. Sekiya, K. Itahashi +70

A barrel-shaped plastic scintillation counter with Multi-Pixel Photon Counter (MPPC) readout has been developed and operated in the first WASA-FRS experimental campaign at GSI. The…

nucl-ex2025★ 6 cited

Binding energy of and via image analyses of nuclear emulsions using deep-learning

Ayumi Kasagi, Takehiko R. Saito, Vasyl Drozd +16

Subatomic systems are pivotal for understanding fundamental baryonic interactions, as they provide direct access to quark-level degrees of freedom. In particular, introducing a str…

hep-ex2024

A novel machine learning method to detect double- hypernuclear events in nuclear emulsions

Yan He, Vasyl Drozd, Hiroyuki Ekawa +17

A novel method was developed to detect double- hypernuclear events in nuclear emulsions using machine learning techniques. The object detection model, the Mask R-CNN, was traine…

nucl-ex2023★ 6 cited

Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning

A. Kasagi, W. Dou, V. Drozd +18

This study developed a novel method for detecting hypernuclear events recorded in nuclear emulsion sheets using machine learning techniques. The artificial neural network-based obj…