How can an ultrashort pulse be detected?

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In summary, there are a number of techniques that can detect ultrashort pulses in the femtosecond time frame, such as frequency resolved optical gating (FROG), SPIDER, and second order autocorrelation. While the first two can reconstruct the electric field profile, the second order autocorrelation can only give a rough idea of the pulse profile. Slow detectors like photodiodes are generally too slow for ultrafast measurement, but compressive sensing is being explored as a potential solution. Autocorrelators can also derive the power spectrum and tell the frequencies included in the signal, but it is not possible to accurately measure the pulse length using only the second order autocorrelation. However, assuming a certain pulse shape (
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Adel Makram
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How can an ultrashort pulse, such as in a time frame of femtosecond, be detected? Is it possible for a slow detector to pick up a signal in a time of femtosecond? How does an autocorrelation play a role here?
 
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You mean be measured? There are a number of techniques that are able to do that task, some of the most popular: frequency resolved optical gating (FROG), SPIDER, and second order autocorrelation. Only the first two are able to reconstruct the electric field profile (the oscillation). 2nd order autocorrelation, owing to its symmetry property, can only give us the rough idea of how the pulse profile (the envelope only) looks like. As for the use of slow detector, generally slow detectors such as photodiode are too slow for ultrafast measurement, but I hear recently people are proposing the idea of using compressive sensing to accompany the slow detector, but I haven't gone into detai on this matter.
 
  • #3
blue_leaf77 said:
You mean be measured? There are a number of techniques that are able to do that task, some of the most popular: frequency resolved optical gating (FROG), SPIDER, and second order autocorrelation. Only the first two are able to reconstruct the electric field profile (the oscillation). 2nd order autocorrelation, owing to its symmetry property, can only give us the rough idea of how the pulse profile (the envelope only) looks like. As for the use of slow detector, generally slow detectors such as photodiode are too slow for ultrafast measurement, but I hear recently people are proposing the idea of using compressive sensing to accompany the slow detector, but I haven't gone into detai on this matter.
What I know that autocorrelator (AC), can derive the power spectrum of the signal and tells the frequencies included within it ( as both AC and power spectrum are both Fourier pair). But how to measure or derive the pulse length of the signal? Does it use the frequency spectrum to derive the intensity as a function of time by inverse FT?
 
  • #4
Adel Makram said:
What I know that autocorrelator (AC), can derive the power spectrum of the signal and tells the frequencies included within it
That's the first order AC (aka field autocorrelation), but there is no demanding reason in calculating the power spectrum from the field AC as you already have a spectrometer.
Adel Makram said:
But how to measure or derive the pulse length of the signal?
Using only the second order AC (aka intensity AC), it's theoretically not possible to derive the pulse length exactly. What is typically done is that we assume the actual pulse to have certain pulse shape, e.g. Gaussian, sech2, or Lorentzian, then from the known relation between the pulse length of those respective pulse shape and the corresponding AC duration, one can derive the assumed pulse length. That's what you want to do when you only want to get the idea of how long the actual pulse spans in time and when the pulse haven't undergone too severe distortion such as temporal dispersion.
Adel Makram said:
Does it use the frequency spectrum to derive the intensity as a function of time by inverse FT?
Blindly calculating the field from the IFT of the spectrum will only give you the transform-limited field profile, not the actual one in which various distortions may have modified the pulse.
 

1. How does an ultrashort pulse differ from a regular pulse?

An ultrashort pulse is a type of light or electromagnetic pulse that has a duration of picoseconds (trillionths of a second) or femtoseconds (quadrillionths of a second). This is significantly shorter than a regular pulse, which typically has a duration of milliseconds (thousandths of a second) or nanoseconds (billionths of a second).

2. What methods are used to detect ultrashort pulses?

There are several methods that can be used to detect ultrashort pulses, including autocorrelation, frequency-resolved optical gating (FROG), and spectral phase interferometry for direct electric-field reconstruction (SPIDER). These methods involve analyzing the properties of the pulse, such as its intensity and spectral characteristics, to determine its duration and shape.

3. How is an ultrashort pulse detected using autocorrelation?

Autocorrelation involves splitting the pulse into two identical pulses, which are then directed through a nonlinear medium. The resulting interference pattern is then measured, and the pulse duration can be calculated based on the spacing of the interference fringes.

4. What is the principle behind FROG and SPIDER?

FROG and SPIDER both use ultrashort pulses to measure the properties of the pulse being detected. In FROG, the pulse is sent through a nonlinear medium, and the resulting spectrum is measured. By analyzing the spectrum, the pulse duration and shape can be determined. In SPIDER, the pulse is split into two identical pulses, and the resulting interference pattern is measured. The pulse duration and shape can then be calculated based on the spacing of the interference fringes.

5. How are ultrashort pulses used in scientific research and applications?

Ultrashort pulses have a wide range of applications in scientific research, such as in ultrafast spectroscopy and imaging, as well as in industrial and medical applications, such as laser eye surgery and materials processing. They also play a crucial role in technologies such as optical communication and quantum computing.

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