The subject of this dissertation is a moment-preserving Monte Carlo electron transport method that is more efficient than analog or detailed Monte Carlo simulations, yet provides accuracy that is statistically indistinguishable from the detailed simulation. Moreover, the Moment-Preserving (MP) method is formulated such that it is distinctly different than Condensed History (CH) methods making the MP method free of the limitations inherent to CH and proving a viable alternative for transporting electrons. Analog, or detailed, Monte Carlo simulations of charged particle transport is computationally intensive; thus, it is impractical for routine calculations. The computational cost of analog Monte Carlo is directly attributed to the underlying...
The present work describes the implementation of the multiple scattering formalism for charged parti...
The transport of electrons and other charged particles is fundamentally different from that of neutr...
Ion energy straggling is accomodated in condensed history (CH) Monte Carlo simulation by sampling en...
The subject of this dissertation is a moment-preserving Monte Carlo electron transport method that i...
The moment-preserving method, demonstrated as a viable alternative to condensed history for electron...
The Response History Monte Carlo (RHMC) method, a new Monte Carlo method developed for electron tran...
A new Condensed History algorithm is introduced to enhance the Monte Carlo simulation of electron tr...
The simulation of electrons, protons, and other charged particles can be an expensive computation. O...
Condensed history algorithms are approximate electron transport Monte Carlo methods in which the cum...
''Condensed History'' algorithms are Monte Carlo models for electron transport problems, They descri...
Electron transport simulation plays an important role in the dose calculation in electron cancer the...
Analog simulation of energy straggling of electrons and positrons is computationally impractical b...
The main goal of this thesis was to prove the feasibility of basing electron depth dose calculations...
This work investigates the transport of electrons having energies near those of the atomic binding l...
Stochastic-media simulations require numerous boundary crossings. We consider two Monte Carlo electr...
The present work describes the implementation of the multiple scattering formalism for charged parti...
The transport of electrons and other charged particles is fundamentally different from that of neutr...
Ion energy straggling is accomodated in condensed history (CH) Monte Carlo simulation by sampling en...
The subject of this dissertation is a moment-preserving Monte Carlo electron transport method that i...
The moment-preserving method, demonstrated as a viable alternative to condensed history for electron...
The Response History Monte Carlo (RHMC) method, a new Monte Carlo method developed for electron tran...
A new Condensed History algorithm is introduced to enhance the Monte Carlo simulation of electron tr...
The simulation of electrons, protons, and other charged particles can be an expensive computation. O...
Condensed history algorithms are approximate electron transport Monte Carlo methods in which the cum...
''Condensed History'' algorithms are Monte Carlo models for electron transport problems, They descri...
Electron transport simulation plays an important role in the dose calculation in electron cancer the...
Analog simulation of energy straggling of electrons and positrons is computationally impractical b...
The main goal of this thesis was to prove the feasibility of basing electron depth dose calculations...
This work investigates the transport of electrons having energies near those of the atomic binding l...
Stochastic-media simulations require numerous boundary crossings. We consider two Monte Carlo electr...
The present work describes the implementation of the multiple scattering formalism for charged parti...
The transport of electrons and other charged particles is fundamentally different from that of neutr...
Ion energy straggling is accomodated in condensed history (CH) Monte Carlo simulation by sampling en...