1999
DOI: 10.1364/ol.24.001774
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Full-field characterization of femtosecond pulses by spectrum and cross-correlation measurements

Abstract: We present a practical and accurate technique for retrieving the amplitude and the phase of ultrashort pulses from a nonlinear (second-order) intensity cross correlation and the spectrum that overcomes shortcomings of previous attempts. We apply the algorithm to theoretical and experimental data and compare it with frequency-resolved optical gating.

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Cited by 138 publications
(66 citation statements)
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“…Figure 4a,b shows a good match between the simulations and the experiments. Pulse shapes were inferred from autocorrelation and spectrum measurements using the PICASO algorithm 27,28 . The pulse shapes agree well with numerical simulations and match a parabolic (hyperbolic secant) temporal profile for the similariton (soliton-like) pulses shortly after the end of the gain fibre (near the end of the SMF section; Fig.…”
mentioning
confidence: 99%
“…Figure 4a,b shows a good match between the simulations and the experiments. Pulse shapes were inferred from autocorrelation and spectrum measurements using the PICASO algorithm 27,28 . The pulse shapes agree well with numerical simulations and match a parabolic (hyperbolic secant) temporal profile for the similariton (soliton-like) pulses shortly after the end of the gain fibre (near the end of the SMF section; Fig.…”
mentioning
confidence: 99%
“…12 As input data for this retrieval algorithm we used the measured spectrum (Fig. 3) and noncollinear autocorrelation (solid curve in Fig.…”
mentioning
confidence: 99%
“…3(c)]. The temporal profile of the chirped pulse was retrieved from the autocorrelation and spectrum data using the PICASO algorithm [22]. The shape is essentially parabolic, confirming the role of self-similar evolution in the latter part of the gain fiber [inset of Fig.…”
mentioning
confidence: 87%