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Monte Carlo Simulation Study of Hot-Particle Detection in Voluminous Samples by Gamma Spectrometry
Author(s) -
Liang T. Chu,
Adam G. Burn,
Clayton J. Bradt,
Thomas M. Semkow
Publication year - 2021
Publication title -
journal of applied mathematics and physics
Language(s) - English
Resource type - Journals
eISSN - 2327-4379
pISSN - 2327-4352
DOI - 10.4236/jamp.2021.97104
Subject(s) - monte carlo method , calibration , radionuclide , computational physics , spectrometer , range (aeronautics) , particle (ecology) , mass spectrometry , gamma ray spectrometry , nuclear engineering , materials science , matrix (chemical analysis) , physics , nuclear physics , statistics , chemistry , radiochemistry , optics , mathematics , oceanography , engineering , quantum mechanics , composite material , geology

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