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

Accurate characterization of ion beams from sub-MeV to multi-MeV energies is essential for diagnostics in laser-driven ion acceleration and fusion research.

By Lin, Huang, Yang +10Oct 28, 2026

Score████░░░░░░4.2

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Abstract

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.

Wei Lin, Tzu-Yao Huang, Shih-Fan Yang, Shih-Wei Wang, Wu-Cheng Chiang, Kuo-Yu Hsiao, Chun-Han Chen, Yan-Syu Liu, Jun-Yi Chen, Ya-Po Yang, Chen-Kang Huang, Hsu-hsin Chu, Chih-Hao Pai

The editor's rubric

Heuristic review

Leverage4 / 5: A general-purpose tool used across several fields (Adam, ResNet, LoRA, next-generation sequencing).; 18% of this desk’s rubric
Magnitude2 / 5: Solid incremental gain on a meaningful problem.; 20% of this desk’s rubric
Evidence3 / 5: Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.; 22% of this desk’s rubric
Novelty2 / 5: A new combination of known ideas.; 22% of this desk’s rubric
Trajectory3 / 5: A clear path to scale.; 10% of this desk’s rubric
Stakes2 / 5: Benefits a professional community (practitioners, clinicians, engineers).; 8% of this desk’s rubric

Dimension	Level	Weight	What that level means
Leverage	████░4/5	18%	A general-purpose tool used across several fields (Adam, ResNet, LoRA, next-generation sequencing).
Magnitude	██░░░2/5	20%	Solid incremental gain on a meaningful problem.
Evidence	███░░3/5	22%	Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
Novelty	██░░░2/5	22%	A new combination of known ideas.
Trajectory	███░░3/5	10%	A clear path to scale.
Stakes	██░░░2/5	8%	Benefits a professional community (practitioners, clinicians, engineers).

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: method (we propose); breadth (wide range); verification (code released); scale (scalable, efficient); stakes (energy).

How the score was computed

rank-2026-10-18

Score████░░░░░░4.2

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit: 5.4 / 10; Weighted rubric, evidence-gated.
Adjusted merit: 4.5 / 10; Shrunk toward the desk prior by editor confidence (40%).
Attention: 0%; Citations, upvotes, points, mentions.
Freshness: 80%; Half-life decay since publication.

No attention signals recorded yet.

The record

Reviewed by heuristic-v10 on Oct 30, 2026, 07:29 UTC. Paper type: method.
Categories: physics.plasm-ph, physics.ins-det
BRIEF, No.5 in the Physics edition of October 30, 2026.