Accession Number:

AD1100969

Title:

Attosecond Pulse Retrieval From Noisy Streaking Traces With Conditional Variational Generative Network

Descriptive Note:

Journal Article - Open Access

Corporate Author:

University of Central Florida Orlando United States

Report Date:

2020-04-01

Pagination or Media Count:

7.0

Abstract:

Accurate characterization of an attosecond pulse from streaking trace is an indispensable step in studying the ultrafast electron dynamics on the attosecond scale. Conventional attosecond pulse retrieval methods face two major challenges the ability to incorporate a complete physics model of the streaking process, and the ability to model the uncertainty of pulse reconstruction in the presence of noise. Here we propose a pulse retrieval method based on conditional variational generative network CVGN that can address both demands.

Subject Categories:

  • Nuclear Physics and Elementary Particle Physics
  • Nuclear Physics and Elementary Particle Physics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE