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Radiation: Applications01:17

Radiation: Applications

1.3K
The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
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Radiation Pressure: Problem Solving01:09

Radiation Pressure: Problem Solving

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The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force...
508

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Related Experiment Video

Updated: Oct 24, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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Monte Carlo methods for device simulations in radiation therapy.

Hyojun Park1, Harald Paganetti2, Jan Schuemann2

  • 1Department of Radiation Convergence Engineering, Yonsei University, Wonju, Republic of Korea.

Physics in Medicine and Biology
|August 12, 2021
PubMed
Summary

Monte Carlo simulations are crucial for evaluating physical properties in radiation therapy, aiding in radiotherapy device design and understanding. This review explores Monte Carlo methods

Keywords:
Monte Carlo methoddevice simulationradiation treatment

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Computational Science

Background:

  • Monte Carlo (MC) simulations are vital for assessing physical properties in radiotherapy that are challenging to measure directly.
  • These simulations are instrumental in the design and property analysis of radiotherapy devices.

Purpose of the Study:

  • To provide a comprehensive review of the Monte Carlo method for simulating devices used in radiation therapy.
  • To cover the history, popular codes, and diverse applications of MC simulations in medical physics.

Main Methods:

  • Review of Monte Carlo simulation techniques applied to radiotherapy.
  • Analysis of MC modeling for treatment heads (neutral and charged particle therapy) and in-room devices (imaging and therapy).

Main Results:

  • MC simulations are extensively used to model complex physical interactions in radiotherapy devices.
  • Applications span from fundamental research to practical device design and optimization.

Conclusions:

  • Monte Carlo simulations have significantly impacted radiotherapy device design and analysis.
  • MC methods are expected to play an increasingly important role in the future of radiation therapy device development.