MCPT: A Monte Carlo code for simulation of photon transport in tomographic scanners
作者： T.H. Prettyman , R.P. Gardner , K. Verghese
DOI: 10.1016/0168-9002(90)90835-T
关键词: Tracking (particle physics) 、 Sample (graphics) 、 Optics 、 Sampling (signal processing) 、 Computational physics 、 Variance reduction 、 Photon 、 Monte carlo code 、 Physics 、 Detector 、 Energy (signal processing)
摘要: Abstract MCPT is a special-purpose Monte Carlo code designed to simulate photon transport in tomographic scanners. Variance reduction schemes and sampling games present were selected characterize features common most Combined splitting biasing (CSB) are used systematically sample important detection pathways. An efficient game tally particle energy deposition zones. The pulse height distribution of each detector can be found by convolving the calculated with detector's resolution function. A general geometric modelling package, HERMETOR, describe geometry scanners provide information needed for tracking. MCPT's capabilities discribed preliminary experimental validation presented.
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