These are the Python bindings for the NEST library, which provides a direct wrapping of functionality. The library is not Pythonic at this point but just uses the existing naming conventions from the C++ library.
You do not have to have NEST already installed to use this package.
This package is forked from nestpy and updated to LUX Run3 Detector template. In addition, two functions are added to testNEST.cpp
.
- runNEST() --- A function that takes in an energy and a position as the inputs, and output (S1, S2) observables
- runNEST_vec() --- A vectorized function that takes in a list of energies and positions as the inputs, and outputs a list of s1, s2 variables.
Additionally, all NEST built-in spectrum are binded as well. User has direct access to the various spectra.
Please see example/demo_v0.ipynb
for the usage.
Requirements: You must have CMake>=2.8.12 and a C++11 compatible compiler (GCC>=4.8) to build.
First, you must check out this repository then simply run the installer:
git clone https://github.com/xxiang4/nestpy.git
cd nestpy
python setup.py install
Python bindings to the NEST library:
import nestpy
# This is same as C++ NEST with naming
nc = nestpy.NESTcalc()
interaction = nestpy.INTERACTION_TYPE(0) # NR
E = 10 # keV
print('For an %s keV %s' % (E, interaction))
# Get particle yields
y = nc.GetYields(interaction,
E)
print('The photon yield is:', y.PhotonYield)
print('With statistical fluctuations',
nc.GetQuanta(y).photons)
For more examples on possible calls, please see the tests folder.
- Bugs: Please report bugs to the issue tracker on Github such that we can keep track of them and eventually fix them. Please explain how to reproduce the issue (including code) and which system you are running on.
- Help: Help can be provided also via the issue tracker by tagging your issue with 'question'
- Contributing: Please fork this repository then make a pull request. In this pull request, explain the details of your change and include tests.
This package is a pybind11 wrapper of NEST that uses TravisCI to build binaries using the manylinux Docker image.
- Help from Henry Schreiner, which included a great binding tutorial
- Implementation also based on this
See AUTHORS.md for information on the developers.
When you use nestpy
, please say so in your slides or publications (for publications, see Zenodo link above). You can mention this in addition to how you cite NEST. This is important for us being able to get funding to support this project.