Measurement of the intensity and phase of ultraweak, ultrashort laser pulses

Fittinghoff, D. N.; Bowie, Jason; Sweetser, John N.; Jennings, Richard T.; Krumbügel, Marco A.; DeLong, Kenneth W.; Trebino, Rick; Walmsley, Ian A.

doi:10.1364/ol.21.000884

Cited by 222 publications

(107 citation statements)

References 10 publications

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“…The output of the amplifier is split to form two beams. One beam is sent to the pulse shaper, and the other is used as an unshaped reference for spectral interferometry measurements of the shaped pulses [11]. The pulse shaper consists of a zero dispersion stretcher with an acousto-optic modulator (AOM) in the Fourier plane, where different colors in the light pulse map to different positions on the modulator [12].…”

Section: Methodsmentioning

confidence: 99%

Coherent control using adaptive learning algorithms

et al. 2001

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We have constructed an automated learning apparatus to control quantum systems. By directing intense shaped ultrafast laser pulses into a variety of samples and using a measurement of the system as a feedback signal, we are able to reshape the laser pulses to direct the system into a desired state. The feedback signal is the input to an adaptive learning algorithm. This algorithm programs a computer-controlled, acousto-optic modulator pulse shaper. The learning algorithm generates new shaped laser pulses based on the success of previous pulses in achieving a predetermined goal.

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Section: Methodsmentioning

confidence: 99%

Coherent control using adaptive learning algorithms

et al. 2001

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“…SI can characterize pulses with an average energy of 42 zJ per pulse, i.e., less than one photon per pulse [50]. Furthermore, SRSI with a 25 dB SNR spectrometer can characterize a temporal profile with a 50 dB dynamic range during pulse measurement [39].…”

Section: Discussion and Prospectmentioning

confidence: 99%

“…SI is a linear, analytical, sensitive, and accurate method for measuring ultrashort pulses [37]. By combining SI with FROG, a method named temporal analysis by dispersing a pair of light e fields (TADPOLE) was developed and demonstrated in 1996 [50]. Owing to the simplicity and linearity; hence, the high sensitivity of SI, TADPOLE can characterize the temporal profile of a pulse train with an average energy of 42 zJ (42 × 10 −21 J) per pulse.…”

Section: Ifmentioning

confidence: 99%

Self-Referenced Spectral Interferometry for Femtosecond Pulse Characterization

et al. 2017

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Abstract:Since its introduction in 2010, self-referenced spectral interferometry (SRSI) has turned out to be an analytical, sensitive, accurate, and fast method for characterizing the temporal profile of femtosecond pulses. We review the underlying principle and the recent progress in the field of SRSI. We present our experimental work on this method, including the development of self-diffraction (SD) effect-based SRSI (SD-SRSI) and transient-grating (TG) effect-based SRSI (TG-SRSI). Three experiments based on TG-SRSI were performed: (1) We built a simple TG-SRSI device and used it to characterize a sub-10 fs pulse with a center wavelength of 1.8 µm. (2) On the basis of the TG effect, we successfully combined SRSI and frequency-resolved optical gating (FROG) into a single device. The device has a broad range of application, because it has the advantages of both SRSI and FROG methods. (3) Weak sub-nanojoule pulses from an oscillator were successfully characterized using the TG-SRSI device, the optical setup of which is smaller than the palm of a hand, making it convenient for use in many applications, including sensor monitoring the pulse profile of laser systems. In addition, the SRSI method was extended for single-shot characterization of the temporal contrast of ultraintense and ultrashort laser pulses.

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“…Therefore, we are convinced that the filamentation process does not degrade the CEP stability of the OPCPA input pulses in our experiment. Nevertheless, in order to quantify the quality of CEP stability, we are planning (i) to perform inline f -to-2f interferometry to the OPCPA output of stages 3 and 4, (ii) quantify possible differential CEP drifts caused in the individual amplification stages 3 and 4 using a TADPOLE-type technique [44], (iii) and finally perform f -to-3f interferometry (since a sizable third harmonic is generated inside the filament) to the filamentation output.…”

Section: Self-compression Of Millijoule Ir Pulsesmentioning

confidence: 99%

Efficient 4-fold self-compression of millijoule pulses from a 1.5-µm optical parametric chirped-pulse amplifier

Ališauskas¹,

Smilgevičius²,

Piskarskas³

et al. 2010

Lithuanian J. Phys.

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We discuss a four-stage optical parametric chirped-pulse amplifier that delivers carrier-envelope phase-stable ∼1.5 µm pulses with energies up to 12.5 mJ before recompression. The system (previously reported in Opt. Lett. 34, 2498Lett. 34, (2009) is based on a fusion of femtosecond diode-pumped solid-state Yb technology and a picosecond 100-mJ Nd:YAG pump amplifier. Pulses with 62 nm bandwidth are recompressed to a 74.4 fs duration, which is close to the transform limit. Here, to show the way towards a TW-peak-power single-cycle IR source, we perform detailed investigations of single-filament IR supercontinuum generation via femtosecond filamentation in noble gases. Depending on the experimental conditions, two filamentation regimes can be achieved: (i) in the filamentation regime without plasma-induced pulse self-compression, we generate 4-mJ 600-nm-wide IR supercontinua of high spatial quality supporting 8-fs pulse durations, which corresponds to less than two optical cycles at 1.5 µm; (ii) in the self-compression regime, we demonstrate self-compression of 2.2 mJ pulses down to 19.8 fs duration in a single filament in argon with a 1.5 mJ output energy and 66% energy throughput. By adapting the experimental conditions, further energy upscaling of the self-compressed pulses seems feasible.

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Measurement of the intensity and phase of ultraweak, ultrashort laser pulses

Cited by 222 publications

References 10 publications

Coherent control using adaptive learning algorithms

Coherent control using adaptive learning algorithms

Self-Referenced Spectral Interferometry for Femtosecond Pulse Characterization

Efficient 4-fold self-compression of millijoule pulses from a 1.5-µm optical parametric chirped-pulse amplifier

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