Automated CR-39 pit detection for energy and angular characterization of laser-driven ion beams

@misc{lin2026automated,
  title = {{Automated CR-39 pit detection for energy and angular characterization of laser-driven ion beams}},
  author = {Wei Lin and Tzu-Yao Huang and Shih-Fan Yang and Shih-Wei Wang and Wu-Cheng Chiang and Kuo-Yu Hsiao and Chun-Han Chen and Yan-Syu Liu and Jun-Yi Chen and Ya-Po Yang and Chen-Kang Huang and Hsu-hsin Chu and Chih-Hao Pai},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.38089},
  eprint = {2610.38089},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.38089},
  note = {CC BY 4.0},
}

TY  - UNPB
TI  - Automated CR-39 pit detection for energy and angular characterization of laser-driven ion beams
AU  - Wei Lin
AU  - Tzu-Yao Huang
AU  - Shih-Fan Yang
AU  - Shih-Wei Wang
AU  - Wu-Cheng Chiang
AU  - Kuo-Yu Hsiao
AU  - Chun-Han Chen
AU  - Yan-Syu Liu
AU  - Jun-Yi Chen
AU  - Ya-Po Yang
AU  - Chen-Kang Huang
AU  - Hsu-hsin Chu
AU  - Chih-Hao Pai
PY  - 2026
DA  - 2026/10/28
PB  - arXiv
DO  - 10.48550/arxiv.2610.38089
UR  - https://arxiv.org/abs/2610.38089
AB  - Accurate characterization of ion beams from sub-MeV to multi-MeV energies is essential for diagnostics in laser-driven ion acceleration and fusion research. CR-39 detectors are widely used to measure absolute ion yields, while ion energy and incidence angle can be inferred from etched-pit geometries. In this study, we present an automated CR-39 pit detection method that enables reliable extraction of pit geometries from two-dimensional optical micrographs, with improved discrimination of overlapping pits under high-flux conditions. This capability enables reliable analysis in high-density regimes where conventional methods are limited by significant track overlap. By integrating the detected pit shapes with a pit-formation model based on Monte Carlo simulations of restricted energy loss, energy and angular characterization of laser-driven proton beams is achieved with enhanced precision and computational efficiency. The proposed framework provides a robust and scalable approach for automated CR-39 analysis and is applicable to a broad range of ion-beam diagnostics and spectroscopy.
ER  -