Publications
Publication Information
| Title | SIDIS-RC EvGen: a Monte-Carlo event generator of semi-inclusive deep inelastic scattering with the lowest-order QED radiative corrections |
| Authors | Duane Byer, Vladimir Khachatryan, Igor Akushevich, Alexander Ilyichev, Haiyan Gao, Chao Peng, Alexei Prokudin, Stan Srednyak, Zhiwen Zhao |
| JLAB number | JLAB-THY-22-3764 |
| LANL number | arXiv:2210.03785 |
| Other number | DOE/OR/23177-5653 |
| Document Type(s) | (Journal Article) |
| Associated with EIC: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
| Funding Source: | Nuclear Physics (NP) |
|
Journal Compiled for Computer Physics Communication Volume 287 Page(s) 108702 Refereed | |
| Publication Abstract: | SIDIS-RC EvGen is a C++ standalone Monte-Carlo event generator for studies of semi-inclusive deep inelastic scattering (SIDIS) processes at medium to high lepton beam energies. In particular, the generator contains binary and library components for generating SIDS events and calculating cross sections for unpolarized or longitudinally polarized beam and unpolarized, longitudinally or transversely polarized target. The structure of the generator incorporates transverse momentum-dependent parton distribution and fragmentation functions, whereby we obtain multi-dimensional binned simulation results, which will facilitate the extraction of important information about the three-dimensional nucleon structure from SIDIS measurements. In order to build this software, we have used recent elaborate QED calculations of the lowest-order radiative effects, applied to the leading order Born cross section in SIDIS. In this paper, we provide details on the theoretical formalism as well as the construction and operation of SIDIS-RC EvGen, e.g., how we handle the event generation process and perform multi-dimensional integration. We also provide example programs, flowcharts, and numerical results on azimuthal transverse single-spin asymmetries. |
| Experiment Numbers: | |
| Group: | THEORY CENTER |
| Document: | |
| DOI: | https://doi.org/10.1016/j.cpc.2023.108702 |
| Accepted Manuscript: | 2210.03785.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |