pyFSRS is a modular GUI for pump-probe-type optical experiments, specialized for femtosecond stimulated Raman spectroscopy and transient-absorption spectroscopy. However, it is not limited to these two applications and can be directly used for any other pump-probe experiment without modification.

If you are interested in the technical and scientific details of FSRS, I recommend the following three papers as a starting point:

• Dietze and Mathies, ChemPhysChem 17, 1224 (2016).
• McCamant et al., Appl. Spectrosc. 57, 1317 (2003).
• McCamant et al., Rev. Sci. Instrum. 75, 4971 (2004).

The architecture of the program is modular and open, so that anyone can modify it according to his/her needs: The pyFSRS GUI is fully modular, i.e., all devices and measurement modi are incorporated as modules that are loaded dynamically at startup. Therefore, extending pyFSRS is as easy as creating a new subclass from FSRSModule and placing it in the installed_modules folder. The only restriction is that each class has to be in its own file having the identical filename as the class name. For example, myClass should be placed in a file called myClass.py.

A short video tutorial of installation and features. https://youtu.be/-cuXmEfwrig

install with 'python pyfsrs-installer.py' to get the correct python libraries

In order to use pyFSRS, first make sure that all the prerequisites are met. Then download and unpack the zip archive and execute the main file pyFSRS.py using python.

I have tested/developed this program using Python 2.7 and Windows xp, 7,8 and 10.

To run the bare GUI, you need the following modules installed: If your python libraries are too old or too new many of the functions will break. Thus we recommend staying with these versions.

• wxPython: (Version 4.0.1) The GUI is built on wxPython.
• numpy: (Version 1.14.5) Experimental data are stored and manipulated as numpy.arrays.

For the XCScan module, you also need:

• scipy: (Version 1.0.0) Fitting of cross-correlation data with Gaussians.

For the devices, there are additional specific dependencies that have to be met:

• pyVISA: (Version 1.9.0) GPIB devices like lock-ins or stage controllers.
• PyDAQmx: (Not Maintained) National Instruments DAQ boards for in- and output (for shutters or stepper motors).
• PICam library: (Static) Princeton Instruments PICam compatible cameras.

A full documentation of the program can be found on my GitHub Pages: http://ddietze.github.io/pyFSRS.

This program is free software: you can redistribute and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

Copyright 2014-2016 Daniel Dietze daniel.dietze@berkeley.edu.