Phase and amplitude calibration of dual‐mask spatial light modulator for high‐resolution femtosecond pulse shaping

Döpke, Benjamin; Balzer, Jan C.; Hofmann, Martin R.

doi:10.1049/el.2015.0078

Cited by 7 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dispersed beam was collimated and focused in the vertical direction by a spherical mirror (f = 500 mm) onto a spatial light modulator SLM-S640 (Jenoptik) placed in the Fourier plane. SLM was calibrated by using a procedure described in [17]. Consequently, symmetrically aligned mirrors were used to refocus the beam on the grating.…”

Section: Methodsmentioning

confidence: 99%

Dispersion Scan Frequency Resolved Optical Gating For Evaluation of Pulse Chirp Instability

Guesmi¹,

Veselá²,

Žídek³

2020

Preprint

View full text Add to dashboard Cite

The commonly used methods to characterize ultrafast laser pulses, such as frequency-resolved optical gating (FROG) and dispersion scan (d-scan), face problems when they are used on pulses varying within the acquisition time or laser beam. Such chirp variation can be identified by a discrepancy between the measured FROG and d-scan traces and their reconstructed counterparts. Nevertheless, quantification of the instability from the experimental data is a more complex task. In this work, we evaluate the precision of chirp instability quantification based on three different pulse characterization techniques. Two commonly used techniques FROG and d-scan are compared to a new method dispersion scan FROG (D-FROG) that combines the idea of dispersion scanning with the FROG method. We demonstrate the characterization of pulses generated from NOPA together with pulses processed by a 4f-pulse shaper without and with SLM-adjusted phase. In this paper, we validate the performance of the new method to estimate the chirp instability and, therefore, to improve the reconstruction of the measured results. Furthermore, we discuss the instability origin of each measurement case by using fast-scan autocorrelation traces.

show abstract

Section: Methodsmentioning

confidence: 99%

Dispersion Scan Frequency Resolved Optical Gating For Evaluation of Pulse Chirp Instability

Guesmi¹,

Veselá²,

Žídek³

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The output of a mode-locked Ti:Sa laser with 13 nm bandwidth (≈100 fs) pulses, centred at 800 nm (Spectra Physics Tsunami, 80 MHz) is shaped in time with a 4f pulse shaper [18]. The pulse shaper can shift the phase of 640 pixels with a spectral resolution of 0.064 nm/pixel, and is calibrated using a spectrometer [19]. The output of the pulse shaper is focussed into a multi-mode fiber, after which the average output power is 50 mW.…”

Section: Methodsmentioning

confidence: 99%

“…Our fiber is modelled as a 1 meter long, 70-by-70 micron square core fiber, with a numerical aperture of 0.22 and a cladding refractive index of 1.4533 (assuming pure silica at 800 nm light). No dispersion of the numerical aperture or refractive index is taken into account, only dispersion due to equation (19). In the lab, the fiber is strongly bent by winding it around a cylinder a few times and tie-wrapped for stability.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal focusing through a multimode fiber via time-domain wavefront shaping

Velsink,

Amitonova,

Pinkse

2020

Preprint

View full text Add to dashboard Cite

We shape fs optical pulses and deliver them in a single spatial mode to the input of a multimode fiber. The pulse is shaped in time such that at the output of the multimode fiber an ultrashort pulse appears at a predefined focus. We shape a set of pulses corresponding to a spatial grid of such nonlinear foci. Our result shows how to raster scan an ultrashort pulse at the output of a stiff piece of square-core step-index multimode fiber and in this way the potential for making a nonlinear fluorescent image of the scene behind the fiber, while the connection to the multimode fiber can be established via a thin and flexible single-mode fiber. The experimental results match our model well.

show abstract

“…The pulse shaper was carefully calibrated by following a procedure of Döpke et al 33 . First, we used the configuration, where SLM was placed between two crossed polarizers.…”

Section: Experimental and Data Processing Proceduresmentioning

confidence: 99%

“…Nevertheless, the desired shape is distorted in the real experiment by the experimental restrictions, such as pixel discrete nature (pixelation), pixel crosstalk, or finite size of the modulated beam. Hence, the actual SLM phase will be described as a convolution of the pixelized phase pattern set to SLM with a Gaussian point spread function (PSF): where σ X is the standard deviation quantifying the pixel crosstalk, which can be extracted via an SLM calibration procedure 33 . As demonstrated in our recent work, the σ X value equals 1 pix for the SLM used in our experiment 28 .…”

Section: Introductionmentioning

confidence: 99%

Targeted generation of complex temporal pulse profiles

Guesmi

Veselá

Žídek

2022

Sci Rep

View full text Add to dashboard Cite

A targeted shaping of complex femtosecond pulse waveforms and their characterization is essential for many spectroscopic applications. A 4f pulse shaper combined with an advanced pulse characterization technique should, in the idealized case, serve this purpose for an arbitrary pulse shape. This is, however, violated in the real experiment by many imperfections and limitations. Although the complex waveform generation has been studied in-depth, the comparison of the effects of various experimental factors on the actual pulse shape has stayed out of focus so far. In this paper, we present an experimental study on the targeted generation and retrieval of complex pulses by using two commonly-used techniques: spatial-light-modulator (SLM)-based 4f pulse shaper and second-harmonic generation frequency-resolved optical gating (FROG) and cross-correlation FROG (XFROG). By combining FROG and XFROG traces, we analyze the pulses with SLM-adjusted complex random phases ranging from simple to very complex waveforms. We demonstrate that the combination of FROG and XFROG ensures highly consistent pulse retrieval, irrespective of the used retrieval algorithm. This enabled us to evaluate the role of various experimental factors on the agreement between the simulated and actual pulse shape. The factors included the SLM pixelation, SLM pixel crosstalk, finite laser focal spot in the pulse shaper, or interference fringes induced by the SLM. In particular, we observe that including the SLM pixelation and crosstalk effect significantly improved the pulse shaping simulation. We demonstrate that the complete simulation can faithfully reproduce the pulse shape. Nevertheless, even in this case, the intensity of individual peaks differs between the retrieved and simulated pulses, typically by 10–20% of the peak value, with the mean standard deviation of 5–9% of the maximum pulse intensity. We discuss the potential sources of remaining discrepancies between the theoretically expected and experimentally retrieved pulse.

show abstract

Phase and amplitude calibration of dual‐mask spatial light modulator for high‐resolution femtosecond pulse shaping

Cited by 7 publications

References 13 publications

Dispersion Scan Frequency Resolved Optical Gating For Evaluation of Pulse Chirp Instability

Dispersion Scan Frequency Resolved Optical Gating For Evaluation of Pulse Chirp Instability

Spatiotemporal focusing through a multimode fiber via time-domain wavefront shaping

Targeted generation of complex temporal pulse profiles

Contact Info

Product

Resources

About