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

ORAL

Abstract

Ultra-intense laser interactions can accelerate electrons and protons to MeV energies, but there has been little experimental work to control the properties of these particles by systematically exploring a wide variety of laser and target conditions. This presentation describes experimental efforts towards this goal using a kHz repetition rate ultra-intense laser system with and a "liquid leaf" target. A number of improvements were made to the data acquisition capabilities of this laser system that greatly enabled efforts to train statistical models on this data in quasi-real time. These models were then used to predict laser and target parameters that would modify the MeV electron signal in a desired way. The predictions from different models were then investigated experimentally.

*We acknowledge support provided by the National Science Foundation (NSF) under Grant No. 2109222. This work was supported by Air Force Office of Scientific Research (AFOSR) Award (PM: Dr. Andrew B. Stickrath).

Publication: Paper in preparation.

Presenters

  • Nathaniel Tamminga

    • The Ohio State University

Authors

  • Nathaniel Tamminga

    • The Ohio State University
  • Scott Feister

    • California State University, Channel Islands
  • Kyle Frische

    • Air Force Institute of Technology
  • Ronak Desai

    • The Ohio State University
  • Joseph C Snyder

    • Miami University
  • John Felice

    • The Ohio State University
  • Joseph R Smith

    • Marietta College
  • Chris Orban

    • Ohio State University
  • Enam A Chowdhury

    • The Ohio State University
  • Michael L Dexter

    • Air Force Institute of Technology
  • Anil K Patnaik

    • U.S. Air Force Institute of Technology (AFIT)