pyCEDLAR is a python package for estimating the cumulative effective dose (CED) and the lifetime attributable risk (LAR) after a fallout.
It is intended for nuclear regulatory bodies, for emergency preparedness and response. It is also intended for researchers and students in order to assess uncertainty propagation.
As a package, pyCEDLAR provides
- a set of constants (dose conversion factors etc)
- implementation of the formulae of C. Rääf et al.
The python package is rather intended for research, and a compiled version with a GUI intended for decision makers is available at TODO.
pyCEDLAR can be installed by downloading the zipball from github.
pip install https://github.com/ezsolti/pyCEDLAR/zipball/masterInstallation was successfully tested on Linux and Windows.
Uninstall it with the command
pip uninstall pyCEDLARDependencies
- NumPy
- Scipy
The theoretical background is summarized in C. Rääf et al. and the basic functionality is summarized at the documentation site
Several examples can be found in the examples folder or at the documentation site
API documentation, examples and theoretical background is covered at ezsolti.github.io/pyCEDLAR
Any reported bug or suggestion is appreciated, please open a new issue. If you would like to contribute, do not hesitate to do so, just include tests.
Several tests can be found in the tests folder, run them with
python3 -m unittest discover tests/This work is licensed under the MIT License (see LICENSE)