title: A comparison of MCNP4C electron transport with ITS 3.0 and experiment at incident energies between 100 keV and 20 MeV: influence of voxel size, substeps and energy indexing algorithm.
abstract: The condensed-history electron transport algorithms in the Monte Carlo code MCNP4C are derived from ITS 3.0, which is a well-validated code for coupled electron-photon simulations. This, combined with its user-friendliness and versatility, makes MCNP4C a promising code for medical physics applications. Such applications, however, require a high degree of accuracy. In this work, MCNP4C electron depth-dose distributions in water are compared with published ITS 3.0 results. The influences of voxel size, substeps and choice of electron energy indexing algorithm are investigated at incident energies between 100 keV and 20 MeV. Furthermore, previously published dose measurements for seven beta emitters are simulated. Since MCNP4C does not allow tally segmentation with the *F8 energy deposition tally, even a homogeneous phantom must be subdivided in cells to calculate the distribution of dose. The repeated interruption of the electron tracks at the cell boundaries significantly affects the electron transport. An electron track length estimator of absorbed dose is described which allows tally segmentation. In combination with the ITS electron energy indexing algorithm, this estimator appears to reproduce ITS 3.0 and experimental results well. If, however, cell boundaries are used instead of segments, or if the MCNP indexing algorithm is applied, the agreement is considerably worse.
authors.affiliation: Interfaculty Reactor Institute, Delft University of Technology, The Netherlands. schaart@iri.tudelft.nl
authors.forename: Dennis R
authors.initials: DR
authors.lastname: Schaart
authors.forename: Jan Th M
authors.initials: JT
authors.lastname: Jansen
authors.forename: Johannes
authors.initials: J
authors.lastname: Zoetelief
authors.forename: Piet F A
authors.initials: PF
authors.lastname: de Leege
mesh_terms: D000465:Algorithms; D001703:Biophysics / Q000379:methods; D004579:Electron Transport; D004583:Electrons; D009010:Monte Carlo Method; D011874:Radiometry; D012984:Software