The Geant4/Gate by adjusting all the parameters

Monte Carlo method is a computer tool used to solve problems through
statistical processes. Based on these basic principles, various teams and
laboratories around the world have developed Monte Carlo applications capable
of handling the problems of particle transport at different levels of accuracy.
In the wide range of Monte Carlo applications developed, the codes most
frequently used are: BeaMnrc, MCNP, PENELOPE and Geant4. Indeed GEANT4, like
most Monte Carlo simulation codes, is a category II code in the Berger
classification Berger, 1963; that is, the code simulates the transport of
charged particles using a multicast theory. This method condenses the
particle’s history by dividing it into several transport stages during which
the low energy loss and low deflection interactions are grouped together.
Geant4 is surely very powerful, but also much too complex. As part of its
research activities, the PCSV team worked extensively on the validation of the
GATE (Geant Application for Tomographic Emission)  simulation platform as part of the OpenGATE1
collaboration. GATE is a simulation tool for medical physics applications based
on the generic GEANT4 toolkit originally developed for high energy physics. In
order to extend the qualities and benefits of GATE to dosimetry applications,
the OpenGATE collaboration has set up a working group to specifically study the
capabilities of the simulation platform for dosimetry.

In this
context, we try to exploit the capabilities of the Monte Carlo Geant4/Gate code
to simulate the physical phenomena generated by the Varian Clinac. Which a
precise modeling of a 6 MV beam delivered by the treatment head was carried out
using the latest version (Gate v. 8.0) of Monte Carlo Geant4/Gate by adjusting
all the parameters related to 6 MeV electrons emitted by a virtual source
accelerated and deflected before reaching the target. The simulated beam of
mega-photons was used to calculate the dosimetric functions in a homogeneous
water phantom. These functions as a percentage of depth dose (PDD) and
cross-beam profile were compared to those measured using the gamma index
comparison method. The tolerance value assigned to the relative dose was set at
2% and the tolerance value for the measured positions was considered to be 1mm
. Working on our new Super Computer , the parallel calculation method has been
chosen in a targeted way to reduce a significant CPU time that will probably be
consumed by a Monte Carlo simulation of all the physical phenomena involved by
the particles traveling through the complex geometries of a Clinac processing


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