AI for Plasma Diagnostics in Laboratory Astrophysics: Reconstructing Invisible Fields from Proton Images

Chun-Sung Jao, Chiung-Yin Chang, Kun-Han Lee, Hsiao-Hsuan Lin, Han Hu, Yen-Chen Chen, Kentaro Sakai, Yao-Li Liu, Po-Yu Chang, Hsiang-Yi Karen Yang, Fang-An Kuo, Tsung-Che Tsai, Yasuhiro Kuramitsu

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Proton Radiography, Magnetic Field Reconstruction, Deep Learning, Inverse Problems, Plasma Diagnostics

TL;DR: A robust deep learning method for reconstructing magnetic fields from proton radiography, designed to handle the spectral uncertainties of real-world experimental sources.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 23