Published June 10, 2025 | Version v1
Dataset Open

Towards Intelligent Control of MeV Electrons and Protons from kHz Repetition Rate Ultra-Intense Laser Interactions

  • 1. ROR icon The Ohio State University

Description

This dataset is affiliated with the journal article (https://doi.org/10.48550/arXiv.2503.21726) and the results therein. These results come from a high repetition rate laser-plasma experiment where the goal was to use a large experimental dataset to train different optimzation models with the goal of controlling the energy and number of electrons produced in the interaction. All the data has been processed and saved in directory 2024-06-14-DATA/PickleData, but the raw data has also been included if a user feels the desire to process the data for themselves. Both the data processing notebook (DataProcessign.ipynb) and the data analysis notebook (DataAnalysis.ipynb) have been included. The file DataExtracter.py contains the functions used in the data processing. Along with the pickled data and the raw data, the directory 2024-06-14-DATA also contains the saved figures found in the text under the subdirectory /AnalysisImages. Spectrometer calibration data is contained in the calibration directory. This data has been cleared for public release in conjunction with the clearance of the paper, clearance number MSC/PA-2025-0006; 88ABW-2025-0018.

Files

Intelligent_Control_Dataset.zip

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Additional details

Funding

U.S. National Science Foundation
Collaborative Research: Enhancing Laser Based Ion Sources with High Data Rate Techniques 2109222

Software

Programming language
Python