A. Muneem | Searcharxiv

arXiv2026

Current Results on Light Hypernuclei in the WASA-FRS HypHI Experiment

The current understanding of light hypernuclei, subatomic nuclei exhibiting strangeness, is being actively investigated by several collaborations. Recent studies employing high-energy heavy-ion beams have revealed unexpected results for the three-body bound state $^3_Λ$H, known as the hypertriton. Experimental measurements of its lifetime and binding energy across multiple experiments have produced a puzzling situation referred to as the ``hypertriton puzzle''. This puzzle is the central focus of the data analysis from the WASA-FRS HypHI experiment at GSI-FAIR within the SuperFRS Experiment collaboration. Light hypernuclei are being investigated using 1.96 GeV/u $^6$Li beams impinging on a fixed carbon target, in conjunction with the WASA detector system and the Fragment Separator (FRS) at GSI-FAIR. The WASA-FRS experimental campaign was carried out during the first quarter of 2022. The primary objective of the experiment is to measure the lifetimes of $^3_Λ$H and $^4_Λ$H. The possible observation of the nn$Λ$ state constitutes the second component of the WASA-FRS research program. This contribution provides an overview of our investigation of hypernuclei. Focusing on the WASA-FRS HypHI experiment, details of the current analysis status are presented.

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arXiv2023

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

This study developed a novel method for detecting hypernuclear events recorded in nuclear emulsion sheets using machine learning techniques. The artificial neural network-based object detection model was trained on surrogate images created through Monte Carlo simulations and image-style transformations using generative adversarial networks. The performance of the proposed model was evaluated using $α$-decay events obtained from the J-PARC E07 emulsion data. The model achieved approximately twice the detection efficiency of conventional image processing and reduced the time spent on manual visual inspection by approximately 1/17. The established method was successfully applied to the detection of hypernuclear events. This approach is a state-of-the-art tool for discovering rare events recorded in nuclear emulsion sheets without any real data for training.

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