Interactive visualization of particle beams for accelerator design

Brett Wilson, Kwan-Liu Ma, Ji Qiang, Robert Ryne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We describe a hybrid data-representation and rendering technique for visualizing large-scale particle data generated from numerical modeling of beam dynamics. The basis of the technique is mixing volume rendering and point rendering according to particle density distribution, visibility, and the user's instruction. A hierarchical representation of the data is created on a parallel computer, allowing real-time partitioning into high-density areas for volume rendering, and low-density areas for point rendering. This allows the beam to be interactively visualized while preserving the fine structure usually visible only with slow point-based rendering techniques.

Original languageEnglish (US)
Title of host publicationComputational Science, ICCS 2002 - International Conference, Proceedings
Pages352-361
Number of pages10
EditionPART 3
StatePublished - Dec 1 2002
EventInternational Conference on Computational Science, ICCS 2002 - Amsterdam, Netherlands
Duration: Apr 21 2002Apr 24 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume2331 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Computational Science, ICCS 2002
CountryNetherlands
CityAmsterdam
Period4/21/024/24/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Interactive visualization of particle beams for accelerator design'. Together they form a unique fingerprint.

  • Cite this

    Wilson, B., Ma, K-L., Qiang, J., & Ryne, R. (2002). Interactive visualization of particle beams for accelerator design. In Computational Science, ICCS 2002 - International Conference, Proceedings (PART 3 ed., pp. 352-361). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2331 LNCS, No. PART 3).