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Sci‐Fri PM: Planning‐01: Measured electron and x‐ray angular distribution data for benchmarking Monte Carlo codes
Author(s) -
Cojocaru CD,
Ross CK,
McEwen MR,
McDonald AF,
Faddegon BA
Publication year - 2008
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.2965973
Subject(s) - monte carlo method , physics , linear particle accelerator , electron scattering , range (aeronautics) , computational physics , photon , beam (structure) , electron , scattering , atomic physics , fluence , nuclear physics , optics , irradiation , materials science , statistics , composite material , mathematics
Monte Carlo (MC) studies of the output of medical linear accelerators have demonstrated that in‐air profiles are useful in the beam commissioning process. A recent investigation of x‐ray profiles (Tonkopi et al , Med. Phys 32 (9), 2005) showed very good agreement between measurement and EGSnrc calculations but to achieve this level of agreement the beam linac spot size, energy and angular divergence had to be treated as variables. In this project we carried out measurements and MC calculations for an electron accelerator for which the initial beam parameters are well known. Two sets of investigations were carried out. In the first we measured electron scatter distributions for a range of scattering foils and electron energies of 13 and 20 MeV. The profiles were parameterised and compared to EGSnrc Monte Carlo calculations. It was found that generally the EGSnrc calculations gave agreement with the measurements within 1.5 %. In the second investigation, which is on‐going, in‐air profiles were obtained for photon beams produced using different targets (from beryllium to lead). Measured angular distributions were obtained using ion chambers with different build‐up caps (low and high‐Z) and the sensitivity of the data to small changes in geometry (e.g., moving the x‐ray target) was investigated. The photon energy fluence was calculated using EGSnrc and preliminary indications are that the measured and calculated distributions agree to better than 5 %. Work supported in part by NIH grant R01 CA104777‐01A2.