Optimization of microwave emission from laser filamentation with a machine learning algorithm
Abstract
We demonstrate that is it possible to optimize the yield of microwave radiation from plasmas generated by laser filamentation in atmosphere through manipulation of the laser wavefront. A genetic algorithm controls a deformable mirror that reconfigures the wavefront using the microwave waveform amplitude as feedback. Optimization runs performed as a function of air pressure show that the genetic algorithm can double the microwave field strength relative to when the mirror surface is flat. An increase in the volume and brightness of the plasma fluorescence accompanies the increase in microwave radiation, implying an improvement in the laser beam intensity profile through the filamentation region due to the optimized wavefront.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 15, 2021
- Source ID
- 10.1364/ao.426240
Entities
People
- Adrian Lucero
- Alexander C Englesbe
- Andreas Schmitt-Sody
- Jinpu Lin
- John Nees
- Karl Krushelnick
Organizations
- Air Force Office of Scientific Research
- Air Force Research Laboratory
- Office of Science
- United States Naval Research Laboratory
- University of Michigan