What is it about?
In laser-plasma physics, increasingly intense lasers are being developed, leading to the generation of ever more energetic particles during interactions. To accurately measure these high-energy particles, beyond the capabilities of conventional detectors, specialized detection systems are required. In this article, we present the design and development of such a detector.
Featured Image
Photo by John Doyle on Unsplash
Why is it important?
High-energy photon beams have a wide range of applications, from radiography and radiotherapy to fundamental studies of processes like matter production via photon-photon collisions. However, accurately measuring the energy spectrum of these sources has remained challenging, limiting their potential for industrial applications. Here using machine learning, we are able for the first time to resolve a calibration source spectrum of photons, paving the way for more common applications of high energy photon beams.
Perspectives
This work is only the beginning of machine learning applied to plasma physics, thanks to the development of very powerful cluster/computer, it becomes an essential of future research. This paper showcases a measure for photon beams but could be extended to any type of detectors dealing with an inversion problem.
Gaetan Fauvel
ELI Beamlines Facility|The Extreme Light Infrastructure ERIC
Read the Original
This page is a summary of: Compact in-vacuum gamma-ray spectrometer for high-repetition rate PW-class laser–matter interaction, Review of Scientific Instruments, February 2025, American Institute of Physics,
DOI: 10.1063/5.0206348.
You can read the full text:
Contributors
The following have contributed to this page
