Python library to control a pixie16 module from XIA
Project description
PyPixie16
This module can be used to control, read, and analyze data from Pixie16 modules from XIA [https://www.xia.com/DGF_Pixie-16.html] using python. To achieve this we provide cytpes interface to the C-libraries provided by XIA. These libraries need to be downloaded and installed from XIA-website for these python modules to run.
We use a config.ini file to let the python file know where those libraries can be found. If this file doesn't exist, the program will prompt you with instructions on how to create one.
Licence and Copyright
See Licence.txt and Copyright.txt for more information.
Content
read.py: functions to read output file from the pixie using example program. Especially .bin files and .set files
analyze.py: calculate fast trigger and CFD from traces
control.py: control the pixie using python. This needs to be imported separately, e.g. "import pixie16.control" and it needs a 32bit python, since all libraries are 32 bit.
variables.py: list of the variables in a settings file, including file position and number of values This can be recreated if needed from the included script create_variable_list.py.
Documentation
Documentation is hosted on Read The Docs: https://readthedocs.org/projects/pypixie16/
Known issues
We use revision F of the 500 MHz Pixie16 and the code has only been tested for this module. It probably can be easily adapted for other modules or even might work, but there is no garantee.
We also always use certain settings for some parameters and these might also influence some of the analysis code (e.g. FastFilterRange).
Tests
We should have a lot more of them ;)
Use 'python -m pytest' to run tests.
Contribution
Pull requests are welcome.
We use black to format the code. Once you cloned the repo, please run
pip install pre-commit
and
pre-commit install
Other libraries to control the pixie16 (non-python)
Experimental Low Energy Nuclear Science Group at University of Tennessee
Fork of pixie16
https://github.com/spaulaus/paass-lc
Peking University
Project details
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