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World's best FROG traces!
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World Record FROG Errors

In FROG, one spectrally resolves a nonlinear autocorrelation of a laser pulse to generate what is known as a FROG trace. The FROG algorithm then retrieves the time-dependent intensity and phase from the trace. The better the retrieved trace agrees with the experimental data, the lower the FROG error.

Although one can set up a simple FROG device and have data in less than a day, like any other femtosecond laser experiment, it's tough getting really great experimental results that lead to extra-low FROG errors. Scattered light, detector noise, laser fluctuations, inaccurate calibrations, and poor imaging all can act to increase the lowest obtainable FROG error in your data set.

Below are some of the best known FROG errors of actual experimental data. If your data is better than this, let us know! We'll include your results in the table too!

World's Best

Type N Error Who Data
SHG 128 0.000828 Ken DeLong Data
PG 128 0.00327 Bern Kohler Data
THG 256 0.001686 Thomas Tsang Data
SD x e y d
TG x e y d

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World's Most Complicated

There's been some confusion in the literature regarding the ability of FROG to retrieve complicated pulses. So this table shows the pulses with the largest retreived rms time-bandwidth products. These are some of the most complicated pulses ever measured!

Type N RMS Time-Bandwidth Who Data
SHG 512 15.03 John Dudley Data
PG 128 4.67 Bern Kohler Data
THG 256 2.27 Thomas Tsang Data
SD x e y d
TG x e y d

Submit your data!

Other Cool Data

These data didn't qualify as the lowest-error or most-complicated, but they are interesting nonetheless.

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