Necati Çeli̇k

Enhancing precision of low-cost detectors via machine learning for accurate mass attenuation coefficient estimation

Low-cost NaI(Tl) detectors are practical for gamma-ray spectrometry but their limited energy resolution can introduce systematic errors in mass attenuation coefficient measurements when scattered photons are included in the peak region. This study proposes a machine-learning corr...