Time resolved measurements are widely used for many research field, including
Depending on the duration of the experiments and frequency of events, time resolved measurements can easily generate huge amounts of data, which is overwhelming for common data analysis software.
We attempt to extract the useful information form data generated from time-resolved measurements by introducing a new kind of time-tag analysis software.
ETA, the extensible time tag analyzer, is an event driven programming language with graphical user interface for analyzing, plotting, and fitting of time tagged data.
Currently, ETA supports timetag formats of devices from PicoQuant (HydraHarp T2&T3 format, PicoHarp T2&T3 format, TimeHarp T2&T3 format), Swabian Instrument (TIME TAGGER 20 file format), quTools (quTAG file format), and Becker & Hickl (SPC-134/144/154/830 file format).
ETA provides support to file formats of quTAG, HydraHarp, and Swabian Instruments time-to-digital devices, with tested real-time g(2) analysis recipes that could help you with diagnosing your experiment setup (e.g. the alignment of the optical path).
Cick the video below to see how it works!
The latest version of ETA makes it easier to import and correlate timetag files from many different time-tagger devices.
If you are using Linux or Mac OS, our backend is also available on pypi and you can use your favorite web browser to launch the ETA GUI (instructions) as a installation-free frontend. Of course, Windows users are free to do the same.
Check out the pre-made recipies 🎉 that could be used immediately in your experiments.