CHIC

C++ library for computing three/flavor neutrino oscillation probabilities and their derivatives.

Structure

• src/: C++ source and headers
• bindings/: Python package and bindings
• examples/: Minimal examples for C++ and Python

Requirements

• Eigen library: https://libeigen.gitlab.io/?title=Main_Page (in the following a standard installation path (i.e. /usr/include/eigen3) is assumed)
• Only if building python bindings:
  • pybind11: https://pybind11.readthedocs.io/en/stable/installing.html
  • numpy: https://numpy.org/install/

Build instructions

• For the C++ CHIC library only

make clean
make 

or

make lib

• For the python bindings (optional)

pip install ./bindings

and making it available in system-wide

export PYTHONPATH=$PWD/bindings/:$PYTHONPATH

Examples

• For C++ library, you can check the following minimal example:

examples/cpp/example.cpp

or run a simple benchmark program.compile and run it as

examples/cpp/chic_benchmark.cpp

To compile them, just do

make examples

The executables will appear under the examples/cpp/ folder.

• For the python module, you can check the following minimal example:

python3 examples/python/example.py

• Additionally, there is a Jupyter notebook:

examples/python/example.ipynb

Reference

You can check and cite the associated paper here.