Software for measurement and characterization of ultra-fast laser pulses using the SHG FROG technique.
Want to know more about FROG? R. Trebino, Frequency-Resolved Optical Gating: the Measurement of Ultrashort Laser Pulses, Kluwer, Boston (2002)
Commercial devices exist, but are rather expensive. A home-built device can save a lot of money. The code in this repository provides:
- A graphical user interface for the measurement of the so-called FROG trace.
- The possibility to choose between two different phase retrieval algorithms:
- GP (generalized projections) phase retrieval algorithm (see Kane, 1999). The code used here is based on the Matlab package by Steven Byrnes.
- Ptychographic reconstruction algorithm (see Sidorenko et al., 2016). The code used here is based on the Matlab package by the same authors.
- A list of possible hardware components that integrate nicely with this software. But also alternative devices can be used and easily integrated.
The main window:
The phase retrieval window:
- Python version >= 3.10
Install the FROG software (ideally in a virtual python environment) by
pip install git+https://github.com/UCBoulder/shg_frog.gitRun it by
shg_frog [-h]with '-h' to see available options.
After you started the software once, you will have a .frog_config folder in your home directory. It contains a config.yml file that should be adapted to your setup.
Measurement data will be saved into a frog_datafolder, also in your home directory.
Upon startup you will have example data loaded which you can use for a first pulse reconstruction. This is overwritten as soon as you do a measurement.
Phase Retrieval
- The GP algorithm gives generally better results with a lower error (G in the phase retrieval GUI). In some cases, however, it does not converge. In these cases the ptychographic algorithm provides a solution.
- The "prepFrog" parameter should be 128 unless modifications to the Phase Retrieval GUI are made.
Stage
- Offset refers to the stage position (i.e. mirror position) at which the FROG signal is maximum and is the point around which the FROG trace is measured, over a range specified by "Number of steps" and "Step size".
The original code by jkrauth is written to use
a camera and dispersive element to resolve the spectrum. Here, we use our own
hardware_comms package to adapt the
program to use a more general stage and spectrometer. To use this program with different
hardware, simply extend the LinearMotor and Spectrometer classes from
hardware_comms and update the connect_devices() method. Remember to check you units!