Abstract
We present a new QCD evolution library for unpolarized parton distribution functions: EKO. The program solves DGLAP equations up to next-to-next-to-leading order. The unique feature of EKO is the computation of solution operators, which are independent of the boundary condition, can be stored and quickly applied to evolve several initial PDFs. The EKO approach combines the power of N-space solutions with the flexibility of a x-space delivery, that allows for an easy interface with existing codes. The code is fully open source and written in Python, with a modular structure in order to facilitate usage, readability and possible extensions. We provide a set of benchmarks with similar available tools, finding good agreement.
| Original language | English |
|---|---|
| Article number | 976 |
| Pages (from-to) | 1-18 |
| Number of pages | 18 |
| Journal | European Physical Journal C |
| Volume | 82 |
| Issue number | 10 |
| Early online date | 31 Oct 2022 |
| DOIs | |
| Publication status | Published - Oct 2022 |
Bibliographical note
Funding Information:We thank J. Cruz-Martinez for contributing to the development and S. Carrazza for suggesting the idea and providing valuable support. We thank S. Forte and J. Rojo for carefully proofreading the manuscript. We acknowledge the NNPDF collaboration for valuable discussions and comments. F. H. and A. C. are supported by the European Research Council under the European Union’s Horizon 2020 research and innovation Programme (grant agreement no. 740006). G. M. is supported by NWO (Dutch Research Council).
Publisher Copyright:
© 2022, The Author(s).
Funding
We thank J. Cruz-Martinez for contributing to the development and S. Carrazza for suggesting the idea and providing valuable support. We thank S. Forte and J. Rojo for carefully proofreading the manuscript. We acknowledge the NNPDF collaboration for valuable discussions and comments. F. H. and A. C. are supported by the European Research Council under the European Union’s Horizon 2020 research and innovation Programme (grant agreement no. 740006). G. M. is supported by NWO (Dutch Research Council).
