pdfflow 0.9rc0

PDF interpolation with Tensorflow

PDFflow

PDFflow is parton distribution function interpolation library written in Python and based on the TensorFlow framework. It is developed with a focus on speed and efficiency, enabling researchers to perform very expensive calculation as quick and easy as possible.

The key features of PDFflow is the possibility to query PDF sets on GPU accelerators.

Documentation

https://pdfflow.readthedocs.io/en/latest

Installation

The package can be installed with pip:

python3 -m pip install pdfflow

as well as with conda, from the conda-forge channel:

conda install pdfflow -c conda-forge

If you prefer a manual installation just use:

python setup.py install

or if you are planning to extend or develop code just use:

python setup.py develop

Examples

There are some examples in the benchmarks folder.

Citation policy

If you use the package pelase cite the following paper and zenodo references:

• https://doi.org/10.5281/zenodo.3964190
• https://arxiv.org/abs/20xx.xxxxx