Description
Advances in high‑power, high‑repetition‑rate (HRR) laser systems are driving a transition toward data‑rich, statistically informed approaches in laser‑driven particle acceleration. Realising the full potential of HRR operation requires automated diagnostics and rapid on‑shot data analysis capable of keeping pace with increasing shot rates. To address this need, we introduce ARISE (Algorithm for Rapid Ion Spectrum Extraction), a fast and fully automated analysis framework designed for consistent, high‑throughput extraction of ion energy spectra measured using a Thomson parabola spectrometer. ARISE performs automated background subtraction, zero‑point identification, spectral extraction and immediate calculation of key beam parameters, including maximum ion energy and total ion flux, thereby enabling live‑feedback and data‑driven optimisation of laser‑plasma experiments. We report comprehensive validation of ARISE, demonstrating reliable performance beyond 20 Hz and successful deployment in experiments operating at 0.2 Hz. In a proof‑of‑concept campaign at the SCAPA Bunker B target area, ARISE was integrated into a closed feedback loop in which Bayesian optimisation autonomously steered the maximum proton energy in real time, showcasing its capability to support adaptive, self‑optimising laser‑plasma accelerator operation.
