Monte Carlo simulation using the PENELOPE code with an ant colony algorithm to study MOSFET detectors

Phys Med Biol. 2009 Oct 21;54(20):6263-76. doi: 10.1088/0031-9155/54/20/015. Epub 2009 Oct 1.

Abstract

In this work we have developed a simulation tool, based on the PENELOPE code, to study the response of MOSFET devices to irradiation with high-energy photons. The energy deposited in the extremely thin silicon dioxide layer has been calculated. To reduce the statistical uncertainties, an ant colony algorithm has been implemented to drive the application of splitting and Russian roulette as variance reduction techniques. In this way, the uncertainty has been reduced by a factor of approximately 5, while the efficiency is increased by a factor of above 20. As an application, we have studied the dependence of the response of the pMOS transistor 3N163, used as a dosimeter, with the incidence angle of the radiation for three common photons sources used in radiotherapy: a (60)Co Theratron-780 and the 6 and 18 MV beams produced by a Mevatron KDS LINAC. Experimental and simulated results have been obtained for gantry angles of 0 degrees, 15 degrees, 30 degrees, 45 degrees, 60 degrees and 75 degrees. The agreement obtained has permitted validation of the simulation tool. We have studied how to reduce the angular dependence of the MOSFET response by using an additional encapsulation made of brass in the case of the two LINAC qualities considered.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Ants
  • Behavior, Animal
  • Cobalt Radioisotopes
  • Computer Simulation
  • Electrons
  • Equipment Design
  • Humans
  • Monte Carlo Method
  • Photons*
  • Radiometry / methods*
  • Radiotherapy / methods
  • Radiotherapy Dosage
  • Silicon Dioxide / chemistry
  • Software

Substances

  • Cobalt Radioisotopes
  • Silicon Dioxide