PoS - Proceedings of Science
Volume 390 - 40th International Conference on High Energy physics (ICHEP2020) - Parallel: Strong Interactions and Hadron Physics
Revealing proton structure with neural networks
K. Kumericki
Full text: pdf
Pre-published on: February 10, 2021
Published on: April 15, 2021
We report on recent progress in using neural networks to extract information about partonic structure of proton from deeply virtual Compton scattering data.
DOI: https://doi.org/10.22323/1.390.0475
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.