2 edition of **Monte Carlo simulations of electrons and photons in matter** found in the catalog.

Monte Carlo simulations of electrons and photons in matter

Ashoke Kundu

- 197 Want to read
- 13 Currently reading

Published
**1996**
.

Written in

**Edition Notes**

Thesis (M.Sc.) - University of Surrey, 1996.

Statement | Ashoke Kundu. |

Contributions | University of Surrey. Department of Physics. |

ID Numbers | |
---|---|

Open Library | OL19357100M |

The Monte Carlo (MC) method is widely used to solve various problems in radiotherapy. There has been an impetus to accelerate MC simulation Monte Carlo Simulations and Atomic Calculations for Auger Processes in Biomedical matter at atomic and molecular scales is weak. In spite of the wide use of X-rays in imaging and therapy, the overall usage lower vacancies can result in a cascade of electrons and ~nahar/papers/

from Monte Carlo simulations. A rough approximation for the intensity of primary photons may be obtained by neglecting backscattering effects (electrons that are backscattered from the specimen do not generate photons) and using the continuous slowing down approximation (CSDA) to describe the stopping of electrons in :// simulation of neutrons, photons and electrons being transported in condensed materials, gases and vacuum. We will make brief excursions into other kinds of Monte Carlo methods when they they serve to elucidate some point or when there may be a deeper connection to particle-matter interactions or radiation transport in ~bielajew/MCBook/

PENELOPE, an acronym for PENetration and Energy LOss of Positrons and Electrons, is a general purpose Monte Carlo code to simulate the behaviour of ionizing electrons and photons in arbitrary materials composed of elements with atomic numbers from 1 to 92 (Baro´ et al , Salvat et al , Sempau et al ). PENELOPE implements a A new Monte Carlo (MC) algorithm, the 'dose planning method' (DPM), and its associated computer program for simulating the transport of electrons and photons in radiotherapy class problems employing primary electron beams, is presented. DPM is intended to be a high accuracy MC alternative to the current generation of treatment planning codes which rely on analytical algorithms based on an ,-a-fast,-accurate-Monte-Carlo-code-optimized.

You might also like

Intel 8080 microcomputer systems users manual.

Intel 8080 microcomputer systems users manual.

Mollier(h-s) chart for steam(SI units)

Mollier(h-s) chart for steam(SI units)

The cubby bears go camping

The cubby bears go camping

Annual reports on the progress of chemistry

Annual reports on the progress of chemistry

Multi-storey blocks.

Multi-storey blocks.

Improvement in the Maintenance of Public School Buildings/No. 240

Improvement in the Maintenance of Public School Buildings/No. 240

Achieving effective arms control

Achieving effective arms control

The Thomas township test target: an example of EM interpretation using simple models. by James C. Macnae and P. Walker

The Thomas township test target: an example of EM interpretation using simple models. by James C. Macnae and P. Walker

Translation of a poem, entitled, The triumph of republicanism

Translation of a poem, entitled, The triumph of republicanism

H.R. 3405, Strengthening the Ownership of Private Property Act of 2005 (STOPP)

H.R. 3405, Strengthening the Ownership of Private Property Act of 2005 (STOPP)

Retribution and the Theory of Punishment (Philosophy and Society)

Retribution and the Theory of Punishment (Philosophy and Society)

For ten days at the end of September,a group of about 75 scientists from 21 different countries gathered in a restored monastery on a meter high piece of rock jutting out of the Mediterranean Sea to discuss the simulation of the transport of electrons and photons using Monte Carlo :// The verification of cross section data for Monte Carlo calculation is still insufficient for the evaluation of the angular distribution of bremsstrahlung photons produced by MeV :// Monte Carlo simulations of radiation treatment machine heads provide practical means for obtaining energy spectra and angular distributions of photons and electrons.

So far, most of the work published in the literature has been limited to photons and the contaminant electrons knocked out by photons. This chapter will be confined to megavoltage photon beams produced by medical linear of electrons and photons through bulk media in the energy range 10 keV to 50 MeV.

The Monte Carlo technique consists of using knowledge of the probability distributions governing the individual interactions of electrons and photons in materials to simulate the random trajectories of individual ~kw25/teaching/mcrt/Rogers_Bielajew_pdf. Monte Carlo simulations of Photospheric emission 3 2.

IMPLEMENTATION OF THE PHOTOSPHERIC CODE In this section, we describe the implementation of our MC code and give an overview of the basic physics in-cluded.

We discuss how the energy and velocity distribu-tions of the electrons, protons and photons are initialised Monte Carlo simulations are performed for monoenergetic photons and electrons from 5 keV to 10 MeV (log scale).

Energy deposits are recorded in every voxel and every region of the model (target), along with their estimated statistical :// the energy distribution of the photons emitted by a source in the second step, and the detector is placed inside a small solid angle. The simulations in both steps employ the low-energy electromagnetic interactions provided by the GEANT4 toolkit.

Electrons interact with matter via bremsstrahlung and ionization, while photons, via Rayleigh effect, The Monte Carlo technique has become ubiquitous in medical physics in the last 50 years.

There are many different applications of this technique but the major focus of this review will be the use of Monte Carlo to simulate radiation transport, with special emphasis on transport involving electrons and :// Carlo simulation pmb6_ 1.

Introduction. Monte Carlo (MC) methods have been explored for years to solve problems that are literally impossible to solve through classical ed sampling of the probability distribution functions is the base of the MC techniques.Random numbers are employed to sample from the probability distribution functions describing the phenomenon under investigation.

be calculated from Monte Carlo simulations. A rough approximation for the intensity of primary photons may be obtained by neglecting backscattering e ects (electrons that are backscattered from the specimen do not generate photons) and by using the continuous slowing down approximation (CSDA) to describe the stopping of electrons in Fluorescence, Llovet etal.

ENELOPE [1, 2] is a code for Monte Carlo simulations of the transport in matter of electrons, positrons and photons with energies from a few hundred of eV to 1 GeV.

It is robust, fast and very accurate, but it may be unfriendly for people not acquainted with the FORTRAN programming pdf/PDF. The use of the Monte Carlo (MC) method in radiotherapy dosimetry has increased almost exponentially in the last decades.

Its widespread use in the field has converted this computer simulation technique in a common tool for reference and treatment planning dosimetry calculations. This work reviews the different MC calculations made on dosimetric quantities, like stopping-power ratios and An algorithm for the simulation of bremsstrahlung emission by fast electrons using numerical cross sections is described.

It is based on natural factorization of the double-differential cross section and on the fact that the intrinsic angular distribution of photons with a given energy can be very closely approximated by a Lorentz-boosted dipole :// EXPERIMENT AND MONTE CARLO SIMULATIONS A THESIS SUBMITTED TO or excitation of the matter through which it passes.

The detection of X-rays and gamma-rays is therefore critically dependent on how these photons undergo and escape components due to loss of photons and electrons. The role of electrons to and from electrical contact materials Monte Carlo simulation.

EGSnrc provided by the National Research Council of Canada was used as the basis for the Monte Carlo simulation.

EGSnrc is an electron transport code that comes equipped with electron transport in matter, tracking for individual electrons and :// Monte‐Carlo simulations of heavy ions track structures and applications Ianik Plante1, Francis A.

Cucinotta2 1Division of Space Life Sciences, Universities Space Research Association, Houston, TX, USA 2NASA Johnson Space Center, Houston, TX, USA In space, astronauts are exposed to protons, high‐energy heavy (HZE) ions that have a high charge (Z) The Monte Carlo simulation of particle transport and interaction in matter finds growing applications in medical radiation physics.

Dosimetric applications in radiation therapy span from internal Monte Carlo simulation on low-energy electrons from gold nanoparticle in radiotherapy James C L Chow1,3, Michael K K Leung2, Sean Fahey3, Devika B Chithrani3 and David A Jaffray1,2 1 Department of Radiation Oncology, University of Toronto and Radiation Medicine Program, Princess Margaret Hospital, University Health Network, Toronto, Ontario M5G To our knowledge, the rst numerical Monte Carlo simulation of photon transport is that of Hayward and Hubbell () who generated 67 photon histories using a desk 1 In this report, the term particle will be used to designate either photons, electrons or ~johnf/g/Penelope/ The EGS system of computer codes is a general-purpose package for Monte Carlo simulation of the coupled transport of electrons and photons in an arbitrary geometry for particles with energies above a few keV up to several hundreds of GeV.

The EGSnrc version was used for our comparisons. Photons are modeled in a standard ://. A series of Monte Carlo codes for the calculation of the transport of electrons and photons through extended media has been developed at the National Bureau of Standards over the past 25 years.

These codes have been named ETRAN (for Electron TRANsport), with the various versions representing mainly refinements, embellishments and different geometrical treatments that share the same basic Monte Carlo simulations show that electrons with energies greater than 50 MeV (VHEEs) can reach deep-seated tumo11,12,13; in contrast to biological matter is often studied by Monte-Carlo track structure simulations that provide detailed information on energy deposition and production of radiolytic species that damage cellular structures [3].

Over 50% of the GCR ﬂux is at energies above 1GeVamu−1 [4].