Monte-Carlo simulations are frequently employed to study samples that emit radiation. Often the first step in such a simulation is to generate a distribution of points in the sample volume such that radiation emanates from each point. In this work a method is given in which a uniform distribution of
A method for generating uniform point distributions on a sample surface
β Scribed by Michael F. Arndt
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 156 KB
- Volume
- 588
- Category
- Article
- ISSN
- 0168-9002
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β¦ Synopsis
Monte-Carlo simulations are frequently employed to study samples that emit radiation. Often the first step in such a simulation is to generate a distribution of points in the sample volume or on a sample surface such that radiation emanates from each point. In this work a method is given in which a uniform distribution of points may be generated on a sample surface, and several examples are given.
π SIMILAR VOLUMES
A novel and efficient quasi-Monte Carlo method for computing the area of a point-sampled surface with associated surface normal for each point is presented. Our method operates directly on the point cloud without any surface reconstruction procedure. Using the Cauchy-Crofton formula, the area of the