Skip to main content

No project description provided

Project description

PyPixie16

Docs PyPI version pre-commit Code style: black

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.

Installation

You can install the package using

pip install pypixie16

or after you cloned the repository and are inside the repo,

pip install .

or

pip install -e .

If you want to run tests, you should specify

pip install .[test]

If you want to build the documentation

pip install .[docs]

If you want to speed up binary parsing, you should install the cbitstruct library or use

pip install .[fast]

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

https://github.com/pixie16

Fork of pixie16

https://github.com/spaulaus/paass-lc

Peking University

https://github.com/pkuNucExp/PKUXIADAQ

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypixie16-3.1.0.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

pypixie16-3.1.0-py3-none-any.whl (91.6 kB view details)

Uploaded Python 3

File details

Details for the file pypixie16-3.1.0.tar.gz.

File metadata

  • Download URL: pypixie16-3.1.0.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for pypixie16-3.1.0.tar.gz
Algorithm Hash digest
SHA256 6c428a65cdc3f216c3d56b10ff3208a17ef9726b3bba68a77f16ae01179dae58
MD5 1a89304cc17478c8d687fd2dfc44924d
BLAKE2b-256 08faea0b27b95dd7bcf709e2e29c2d21b1ae55574f917909bea96a525143bfa7

See more details on using hashes here.

File details

Details for the file pypixie16-3.1.0-py3-none-any.whl.

File metadata

  • Download URL: pypixie16-3.1.0-py3-none-any.whl
  • Upload date:
  • Size: 91.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for pypixie16-3.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 baf4929699ad58d0c59831427d348724fafcbdb6f4275e92be1ed7758ff71e50
MD5 f8bb52f9f62eb1103a5dee1761375d51
BLAKE2b-256 a310fa3372c1b07796c93b28e2c25613929434cf2799336e890eebe541123e35

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page