Treffer: Code nloimpact23

Title:
Code nloimpact23
Authors:
Passek-Kumerički, Kornelija, Duplančić, Goran, Čuić, Marija, Kumerički, Krešimir
Publisher Information:
Institut Ruđer Bošković
Ruđer Bošković Institute
Publication Year:
2023
Subject Terms:
PRIRODNE ZNANOSTI. Fizika. Fizika elementarnih čestica i polja, NATURAL SCIENCES. Physics. Physics of Elementary Particles and Fields, QCD phenomenology, Generalized Parton Distributions (GPD), Jupyter/Python notebook
Document Type:
E-Ressource software<br />dataset
Language:
English
Relation:
https://link.springer.com/article/10.1007/JHEP12(2023)192; https://data.fulir.irb.hr/islandora/object/irb:291; https://urn.nsk.hr/urn:nbn:hr:241:554800; https://data.fulir.irb.hr/islandora/object/irb:291/datastream/DATASET0
Availability:
https://data.fulir.irb.hr/islandora/object/irb:291
https://urn.nsk.hr/urn:nbn:hr:241:554800
https://data.fulir.irb.hr/islandora/object/irb:291/datastream/DATASET0
Rights:
http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/openAccess
Accession Number:
edsbas.502ED64A
Database:
BASE

Weitere Informationen

This is the code for the analysis done for the paper M. Čuić, G. Duplančić, K. Kumerički, and K. Passek-K., NLO corrections to the deeply virtual meson production revisited: impact on the extraction of generalized parton distributions, JHEP 12 (2023) 192, arXiv:2310.13837. Jupyter/Python notebooks nloimpact.ipynb and LT_separation.ipynb show in detail how numerical results and plots in the paper are obtained. They provide also some additional numerics and plots. These files are commented and should be immediately readable. If you want to run them yourself, you need to install the Gepard Python package. In the interest of open and reproducible research, the computer code used in the production of numerical results and graphs for this paper is available also at https://github.com/openhep/nloimpact23 and https: //gepard.phy.hr. ; Jupyter/Python notebooks