A Likelihood Framework for Axion Direct Detection
AxiScan is a repository of tools for implementing a likelihood framework for axion direct detection experiments. It is designed to replace traditional signal to noise based estimates, as shown in the figure above. If this code helps contribute to published work, please cite the original reference 1711.10489.
- Joshua Foster; fosterjw at umich dot edu
- Nicholas Rodd; nrodd at mit dot edu
- Benjamin Safdi; bsafdi at umich dot edu
AxiScan is written in a combination of python and cython. To install the codebase along with all its dependencies, use the setup script
python setup.py install
The setup script also compile the cython. To manually compile the cython locally, execute the following
make build
Worked examples can be found here. Before running these, the code must be installed following the instructions above.