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Pregled bibliografske jedinice broj: 580546

Parametrizing Compton form factors with neural networks

Kumerički, Krešimir; Müller, Dieter; Schäfer, Andreas
Parametrizing Compton form factors with neural networks // Nuclear Physics B : Proceedings Supplements, 222/224 (2012), 199-203 doi:10.1016/j.nuclphysbps.2012.03.020 (međunarodna recenzija, članak, znanstveni)

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Naslov
Parametrizing Compton form factors with neural networks

Autori
Kumerički, Krešimir ; Müller, Dieter ; Schäfer, Andreas

Izvornik
Nuclear Physics B : Proceedings Supplements (0920-5632) 222/224 (2012); 199-203

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

Ključne riječi
Deeply virtual Compton scattering; Generalized parton distributions; neural networks

Sažetak
We describe a method, based on neural networks, of revealing Compton form factors in the deeply virtual region. We compare this approach to standard least-squares model fitting both for a simplified toy case and for HERMES data.

Izvorni jezik
Engleski

Znanstvena područja
Fizika

Napomena
Rad je prezentiran na skupu Ringberg Workshop New Trends in HERA Physics 2011., održanom od 25.–28.09.2011., Ringberg Castle Tegernsee, Njemačka.



POVEZANOST RADA

Projekti:
119-0982930-1016 - Elementarne čestice, teorija polja i kozmologija (Picek, Ivica, MZOS ) ( CroRIS)

Ustanove:
Prirodoslovno-matematički fakultet, Zagreb

Profili:

Avatar Url Krešimir Kumerički (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi arxiv.org www.sciencedirect.com dx.doi.org

Citiraj ovu publikaciju:

Kumerički, Krešimir; Müller, Dieter; Schäfer, Andreas
Parametrizing Compton form factors with neural networks // Nuclear Physics B : Proceedings Supplements, 222/224 (2012), 199-203 doi:10.1016/j.nuclphysbps.2012.03.020 (međunarodna recenzija, članak, znanstveni)
Kumerički, K., Müller, D. & Schäfer, A. (2012) Parametrizing Compton form factors with neural networks. Nuclear Physics B : Proceedings Supplements, 222/224, 199-203 doi:10.1016/j.nuclphysbps.2012.03.020.
@article{article, author = {Kumeri\v{c}ki, Kre\v{s}imir and M\"{u}ller, Dieter and Sch\"{a}fer, Andreas}, year = {2012}, pages = {199-203}, DOI = {10.1016/j.nuclphysbps.2012.03.020}, keywords = {Deeply virtual Compton scattering, Generalized parton distributions, neural networks}, journal = {Nuclear Physics B : Proceedings Supplements}, doi = {10.1016/j.nuclphysbps.2012.03.020}, volume = {222/224}, issn = {0920-5632}, title = {Parametrizing Compton form factors with neural networks}, keyword = {Deeply virtual Compton scattering, Generalized parton distributions, neural networks} }
@article{article, author = {Kumeri\v{c}ki, Kre\v{s}imir and M\"{u}ller, Dieter and Sch\"{a}fer, Andreas}, year = {2012}, pages = {199-203}, DOI = {10.1016/j.nuclphysbps.2012.03.020}, keywords = {Deeply virtual Compton scattering, Generalized parton distributions, neural networks}, journal = {Nuclear Physics B : Proceedings Supplements}, doi = {10.1016/j.nuclphysbps.2012.03.020}, volume = {222/224}, issn = {0920-5632}, title = {Parametrizing Compton form factors with neural networks}, keyword = {Deeply virtual Compton scattering, Generalized parton distributions, neural networks} }

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