Publication: ANN modeling of the bremsstrahlung photon flux in tantalum target
dc.contributor.author | Günoğlu, Kadir | |
dc.contributor.author | Akkurt, İskender | |
dc.contributor.author | Demirci, Zehra Nur | |
dc.contributor.buuauthor | Demir, Nilgün | |
dc.contributor.department | Fen Edebiyat Fakültesi | |
dc.contributor.department | Fizik Bölümü | |
dc.contributor.orcid | 0000-0003-2245-8461 | |
dc.contributor.researcherid | AAH-3156-2021 | |
dc.contributor.scopusid | 7006874016 | |
dc.date.accessioned | 2023-06-23T12:19:46Z | |
dc.date.available | 2023-06-23T12:19:46Z | |
dc.date.issued | 2013-11 | |
dc.description.abstract | Bremsstrahlung photons produced by 15 MeV electron beam are simulated using the Monte Carlo code of FLUKA. Tantalum foils have been chosen as a target material in the simulation, and the obtained photon spectrum has been analyzed with artificial neural network (ANN) technique. In the training ANN model, the thicknesses and energy values of bremsstrahlung photons for the Ta target have been used as input. In this study, we observed that the trained ANN model is consistent with simulation results. | |
dc.identifier.citation | Günoğlu, K. vd. (2013). "ANN modeling of the bremsstrahlung photon flux in tantalum target". Neural Computing and Applications, 23(6), 1591-1595. | |
dc.identifier.endpage | 1595 | |
dc.identifier.issn | 0941-0643 | |
dc.identifier.issn | 1433-3058 | |
dc.identifier.issue | 6 | |
dc.identifier.scopus | 2-s2.0-84885908607 | |
dc.identifier.startpage | 1591 | |
dc.identifier.uri | https://doi.org/10.1007/s00521-012-1111-2 | |
dc.identifier.uri | http://hdl.handle.net/11452/33158 | |
dc.identifier.volume | 23 | |
dc.identifier.wos | 000325809300008 | |
dc.indexed.wos | SCIE | |
dc.language.iso | en | |
dc.publisher | Springer | |
dc.relation.collaboration | Yurt içi | |
dc.relation.journal | Neural Computing and Applications | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | Computer science | |
dc.subject | Bremsstrahlung photon | |
dc.subject | Monte Carlo | |
dc.subject | Tantalum | |
dc.subject | Artificial neural network | |
dc.subject | Monte Carlo methods | |
dc.subject | Neural networks | |
dc.subject | 15-MeV electrons | |
dc.subject | ANN modeling | |
dc.subject | Energy value | |
dc.subject | Monte Carlo codes | |
dc.subject | Photon spectra | |
dc.subject | Tantalum foils | |
dc.subject | Tantalum target | |
dc.subject | Target materials | |
dc.subject | Photons | |
dc.subject.scopus | Solar Heaters; Artificial Neural Network; Coefficient of Performance | |
dc.subject.wos | Computer science, artificial Iintelligence | |
dc.title | ANN modeling of the bremsstrahlung photon flux in tantalum target | |
dc.type | Article | |
dc.wos.quartile | Q2 | |
dspace.entity.type | Publication | |
local.contributor.department | Fen Edebiyat Fakültesi/Fizik Bölümü | |
local.indexed.at | Scopus | |
local.indexed.at | WOS |
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