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

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.

Monte Carlo modelling of gamma-ray stopping efficiencies of Geiger–Müller counters

“…During this thesis work, only two of these general purpose MC codes, i.e. MCNP5 and PENELOPE, were utilized as both MCNP5 and PENELOPE are capable of simulating photon/electron showers in arbitrary geometries and also due to the fact that both have been benchmarked with extensive experimental data by other users [37][38][39][40][41]. An introduction to these MC simulation packages will not be given here.…”

Farklı kapı oksitli RadFET dozimetrelerinin ışınlama öncesi elektriksel karakterizasyonlarının TCAD simülasyon programı ile değerlendirilmesi

“…Radiation Sensing Field Effect Transistors (RadFETs), also known as pMOS transistor or p-MOSFET, has found many application areas such as radiotherapy, space radiation monitoring, high energy physics laboratories following the idea on its usability of ionizing radiation dosimeter or sensor reported by Holmes-Siedle [1][2][3][4]. The advantages of these dosimeters are: small size, excellent compatibility with CMOS technology, low power consumption, non-destructive and immediate read-out, wide dose range, etc.…”

Evaluation by Monte Carlo Simulation of Doses Distribution in Tumors with Hypoxia

“…The quality of the results provided by the different codes is directly related to the accuracy of the implemented transport model and its data libraries associated with the cross section of the transported particles. Thus, the mixed charged particle transport algorithm, implemented by the penetration and energy loss of positron and electrons (PENELOPE) code [29], led to its intense use in radiotherapy [30][31][32][33][34][35].…”