Muon Nuclear Data Development Project

TL;DR

The Muon Nuclear Data Development Project in Japan aims to create a comprehensive data library for muon capture reactions, integrating experiments, theory, and machine learning.

Contribution

It introduces a new dedicated data library for muon capture reactions, combining experimental, theoretical, and machine learning methods.

Findings

Development of four sub-libraries: XR, LT, ES, BR.

Integration of experimental measurements, theoretical models, and machine learning.

Reporting current status and progress of each sub-library.

Abstract

Negative muon-induced nuclear reactions play a critical role in a wide range of scientific and technological applications; however, comprehensive nuclear data for these processes remain unavailable. To address this gap, we have launched the Muon Nuclear Data (muND) Development Project in Japan, aiming to construct a dedicated data library for muon capture reactions. The library consists of four sub-libraries: muonic X-ray energies and intensities (XR), lifetimes of muonic atoms and nuclear capture rates (LT), energy spectra of emitted particles (ES), and production branching ratios of residual nuclei (BR). This project integrates experimental measurements, theoretical modeling, and machine learning techniques to compile and evaluate the data. We report the current status and recent progress of each sub-library.