Modeling of the mass attenuation coefficients of X ray beams using deep neural networks (DNN) and NIST database

Modeling of the mass attenuation coefficients of X ray beams using deep neural networks (DNN) and NIST database

Attenuation coefficients are essential physical parameters for many applications, such as the calculation of photon penetration and energy deposition to evaluate biological shielding. Estimating these parameters is complex, making it necessary to apply more sophisticated methodologies. The objective...

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Bibliographic Details
Main Authors: GUSTAVO BERNARDES DA SILVA, VIVIANE RODRIGUES BOTELHO, Carla Diniz Lopes Becker, Cassiana Viccari, Thatiane A. Pianoschi
Format: Article
Language:English
Published: Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR) 2024-04-01
Series:Brazilian Journal of Radiation Sciences
Subjects:
mass attenuation coefficient
neural network
deep learning
Online Access:https://bjrs.org.br/revista/index.php/REVISTA/article/view/2201
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