radiometry 0.1.0.dev15

Reproducible and automated processing and analysis of (synchrotron) radiometry data based on the ASpecD framework

Reproducible and automated processing and analysis of (synchrotron) radiometry data based on the ASpecD framework.

Welcome! This is radiometry, a Python package for processing and analysing (synchrotron) radiometry data in a reproducible and mostly automated fashion. Currently, it focusses on data obtained at one of the beamlines at BESSY-II or MLS in Berlin, mostly operated by the German National Metrology Institute, the Physikalisch-Technische Bundesanstalt (PTB).

Due to inheriting from the ASpecD framework, all data generated with the radiometry package are completely reproducible and have a complete history.

Features

A list of (planned) features:

• Generalised data model for (synchrotron) radiometry data

• A growing list of general-purpose processing and analysis steps

And to make it even more convenient for users and future-proof:

• Open source project written in Python (>= 3.7)

• Developed fully test-driven

• Extensive user and API documentation

Installation

To install the radiometry package on your computer (sensibly within a Python virtual environment), open a terminal (activate your virtual environment), and type in the following:

pip install radiometry

Related projects

There is a number of related packages users of the radiometry package may well be interested in, as they have a similar scope, focussing on scientific data analysis and reproducible research.

• ASpecD

  A Python framework for the analysis of spectroscopic data focussing on reproducibility and good scientific practice. The framework the radiometry package is based on, developed by T. Biskup.

• evedataviewer

  A Python package for graphically inspecting data contained in EVE files, i.e. data obtained at one of the beamlines at BESSY-II or MLS in Berlin, mostly operated by the German National Metrology Institute, the Physikalisch-Technische Bundesanstalt (PTB).

Finally, don’t forget to check out the website on reproducible research covering in more general terms aspects of reproducible research and good scientific practice.

License

This program is free software: you can redistribute it and/or modify it under the terms of the GPLv3 License. See the file LICENSE for more details.