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We present a data-driven analysis of dipole strength functions across the nuclear chart, employing an artificial neural network to model and predict nuclear dipole responses. We train the network on a dataset of experimentally measured dipole strengt
Externí odkaz:
http://arxiv.org/abs/2412.02876
Autor:
Özel, Banu
Bu tezde S-DALINAC s¨uper iletken elektron lineer hızlandırıcısında gerc¸ekles¸tirilen112,120Sn(g, g?) reaksiyonları Bremsstrahlung spektrumunun farklı son nokta enerjileri ic¸inn¨otron ayrıs¸ma enerjisinin altındaki b¨olgelerde c¸al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10208::662c0cadae2b2f6135046bdccd97865a
https://acikbilim.yok.gov.tr/handle/20.500.12812/147826
https://acikbilim.yok.gov.tr/handle/20.500.12812/147826