Share Email Print
cover

Proceedings Paper

Application of artificial neural networks to the measurement of ultrashort laser pulses
Author(s): Marco A. Krumbuegel; Rick P. Trebino; Martin L. Searcy; Donald H. Cooley; Heng-Da Cheng
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Frequency-resolved optical grating (FROG) is a technique for measuring the intensity and phase of ultrashort laser pulses. In FROG, a spectrogram of the pulse is produced from which the intensity and phase of the pulse's electric field is then retrieved using an iterative algorithm. This iterative algorithm performs well for all types of pulses, but it sometimes requires more than a minute to converge, and faster retrieval is desired for many applications. As a faster alternative, we therefore employed a neural network to invert the function that relates the pulse intensity and phase to its FROG trace. In previous work, we showed that a neural network can retrieve simple pulses, described by four or six parameters, rapidly and directly. In this contribution, we discuss our latest attempts to train an artificial neural network for more complex pulse shapes.

Paper Details

Date Published: 4 April 1997
PDF: 10 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271494
Show Author Affiliations
Marco A. Krumbuegel, Sandia National Labs. (United States)
Rick P. Trebino, Sandia National Labs. (United States)
Martin L. Searcy, Utah State Univ. (United States)
Donald H. Cooley, Utah State Univ. (United States)
Heng-Da Cheng, Utah State Univ. (United States)


Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

© SPIE. Terms of Use
Back to Top