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Pregled bibliografske jedinice broj: 1140063

Revealing proton structure with neural networks


Kumerički, Krešimir
Revealing proton structure with neural networks // Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020), 390 (2021), 1-6 doi:10.22323/1.390.0475 (međunarodna recenzija, članak, znanstveni)


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Naslov
Revealing proton structure with neural networks

Autori
Kumerički, Krešimir

Izvornik
Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020) (1824-8039) 390 (2021); 1-6

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
proton, generalized parton distributions, neural networks

Sažetak
We report on recent progress in using neural networks to extract information about partonic structure of proton from deeply virtual Compton scattering data.

Izvorni jezik
Engleski

Znanstvena područja
Fizika



POVEZANOST RADA


Projekti:
HRZZ-IP-2019-04-9709 - Razotkrivanje strukture hadrona pomoću tvrdih ekskluzivnih procesa (REVESTRUCTURE) (Passek-Kumerički, Kornelija, HRZZ - 2019-04) ( POIROT)
EK-H2020-824093 - The strong interaction at the frontier of knowledge: fundamental research and applications (STRONG-2020) (Korolija, Milorad; Bosnar, Damir; Kumerički, Krešimir; Passek-Kumerički, Kornelija, EK - H2020-INFRAIA-2018-1) ( POIROT)
EK-EFRR-KK.01.1.1.01.0004 - Provedba vrhunskih istraživanja u sklopu Znanstvenog centra izvrsnosti za kvantne i kompleksne sustave te reprezentacije Liejevih algebri (QuantiXLie) (Buljan, Hrvoje; Pandžić, Pavle, EK - KK.01.1.1.01) ( POIROT)

Ustanove:
Prirodoslovno-matematički fakultet, Zagreb

Profili:

Avatar Url Krešimir Kumerički (autor)

Citiraj ovu publikaciju

Kumerički, Krešimir
Revealing proton structure with neural networks // Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020), 390 (2021), 1-6 doi:10.22323/1.390.0475 (međunarodna recenzija, članak, znanstveni)
Kumerički, K. (2021) Revealing proton structure with neural networks. Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020), 390, 1-6 doi:10.22323/1.390.0475.
@article{article, author = {Kumeri\v{c}ki, K.}, year = {2021}, pages = {1-6}, DOI = {10.22323/1.390.0475}, keywords = {proton, generalized parton distributions, neural networks}, journal = {Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)}, doi = {10.22323/1.390.0475}, volume = {390}, issn = {1824-8039}, title = {Revealing proton structure with neural networks}, keyword = {proton, generalized parton distributions, neural networks} }
@article{article, author = {Kumeri\v{c}ki, K.}, year = {2021}, pages = {1-6}, DOI = {10.22323/1.390.0475}, keywords = {proton, generalized parton distributions, neural networks}, journal = {Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)}, doi = {10.22323/1.390.0475}, volume = {390}, issn = {1824-8039}, title = {Revealing proton structure with neural networks}, keyword = {proton, generalized parton distributions, neural networks} }

Časopis indeksira:


  • Scopus


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  • inSpire


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