6. Who use it?
PyMoDAQ is used as the core acquisition program of several experiments at CEMES/CNRS and the main interface of its HC-IUMI Ultrafast Electron Microscope
The attolab platform at CEA Saclay started using it in 2019
6.1. Institutions using PyMoDAQ
6.2. What they think of PyMoDAQ?
“The use of PyMoDAQ has really accelerated our experimental development by allowing to develop a modular acquisition system involving very different motorized stages or piezoactuators. It is now running everyday on our experiments, 100% reliable”, Dr Arnaud Arbouet, Senior Researcher CEMES/CNRS
Pymodaq is a python framework for data acquisition. If your specific device driver is not yet implemented, that is the only thing you will have to do. Pymodaq take care of the rest. Graphical user interface, synchronization of the instruments and so on, is already implemented. Once you have implemented your driver, you can release it for the community. That is how Pymodaq will get more and more complete. Of course you need to invest a bit of your time to get used to it, but it is worth it!, Dr David Bresteau, Researcher at CEA Saclay, Attolab platform.
We are setting up Pymodaq on our scanning NV microscopy and deep UV spectroscopy experiments and we appreciate a lot its easy installation, its modularity and the automatic generation of the graphical interfaces, as well as the strong community support. The updates of the modules, the training sessions organized regularly and the numerous video tutorials also reflect the vitality of the community. We also start contributing by adding our own instruments and functionalities to share them with all the users. We fully support this great project! A. Finco, P. Valvin - L2C/S2QT
If you are using PyMoDAQ and would like to help to promote the project, please send your feedback to email@example.com and we will include your message or logo on this page. If you wish to contribute, see Contributing.
If you wish to communicate with users of PyMoDAQ, a mailing list exists: firstname.lastname@example.org
6.3. Some Scientific publication on/using PyMoDAQ
Weber, S. J. PyMoDAQ: An open-source Python-based software for modular data acquisition. Review of Scientific Instruments, 92(4), 045104 (2021).
Luttmann, M. et al. In Situ Sub-50-Attosecond Active Stabilization of the Delay Between Infrared and Extreme-Ultraviolet Light Pulses. Physical Review Applied, 15(3), 034036 (2021).
S. Meuret et al. Time-resolved cathodoluminescence in an ultrafast transmission electron microscope Appl. Phys. Lett. 119, 062106 (2021)
F. Houdellier et al. Development of a high brightness ultrafast Transmission Electron Microscope based on a laser-driven cold field emission source Ultramicroscopy, 186, 128 (2018).
D. Bresteau et al. FAB10: a user-oriented bandwidth-tunable extreme ultraviolet lightsource for investigations of femtosecond to attosecond dynamics in gas and condensed phases Eur. Phys. J. Spec. Top. (2023)