Minimization of dispersion in an ultrafast chirped pulse amplifier using adaptive learning

被引:33
作者
Efimov, A [1 ]
Moores, MD
Mei, B
Krause, JL
Siders, CW
Reitze, DH
机构
[1] Univ Florida, Dept Phys, Gainesville, FL 32611 USA
[2] Univ Florida, Quantum Theory Project, Gainesville, FL 32611 USA
[3] Univ Calif San Diego, Dept Biochem & Chem, La Jolla, CA 92093 USA
来源
APPLIED PHYSICS B-LASERS AND OPTICS | 2000年 / 70卷 / Suppl 1期
关键词
D O I
10.1007/s003400000282
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Minimizing residual frequency dispersion that accompanies pulse stretching, amplification, and recompression is an important consideration in ultrashort chirped-pulse amplifiers.. Here we show how an adaptive learning algorithm can be used in conjunction with a pulse shaper to compensate for higher-order and nonlinear dispersion in a chirped-pulse amplifier. Using spectral blueshifting as a sensitive diagnostic for pulse shape, we implement a 'learning loop' comprised of the pulse shaper, strong field laser ionization, and a genetic algorithm to minimize dispersion through the amplifier. We verify our optimization results using frequency-resolved optical Sating (FROG) measurements and also show theoretically and experimentally that spectral blueshifting is indeed a sensitive diagnostic for pulse shape, and specifically, for higher-order dispersion.
引用
收藏
页码:S133 / S141
页数:9
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