Abstract.
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 gating (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.
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Received: 2 October 1999 / Revised version: 7 February 2000 / Published online: 24 May 2000
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Efimov, A., Moores, M., Mei, B. et al. Minimization of dispersion in an ultrafast chirped pulse amplifier using adaptive learning . Appl Phys B 70 (Suppl 1), S133–S141 (2000). https://doi.org/10.1007/s003400000282
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DOI: https://doi.org/10.1007/s003400000282