Robust orthogonal parameterization of evolution strategy for adaptive laser pulse shaping.
Many spectroscopic applications of femtosecond laser pulses require properly-shaped spectral phase profiles. The optimal phase profile can be programmed on the pulse by adaptive pulse shaping. A promising optimization algorithm for such adaptive experiments is evolution strategy (ES). Here, we report a four fold increase in the rate of convergence and ten percent increase in the final yield of the optimization, compared to the direct parameterization approach, by using a new version of ES in combination with Legendre polynomials and frequency-resolved detection. Such a fast learning rate is of paramount importance in spectroscopy for reducing the artifacts of laser drift, optical degradation, and precipitation.
Jafarpour
Aliakbar
A
Optical Sciences group, MESA + Institute for Nanotechnology, University of Twente, the Netherlands. jafarpoura@gmail.com
Savolainen
Janne
J
de Jong
Rianne
R
Middag
Jacob
J
Sprünken
Daan P
DP
van der Walle
Peter
P
Yang
Di
D
Herek
Jennifer L
JL
D000465:Algorithms; D003198:Computer Simulation; D004867:Equipment Design; D007834:Lasers; D008962:Models, Theoretical; D055095:Optics and Photonics; D012815:Signal Processing, Computer-Assisted; D013053:Spectrophotometry / Q000379:methods*; D013997:Time Factors