Visual Analysis of Quantum Physics Data

  • Hans-Christian Hege
  • Michael Koppitz
  • Falko Marquardt
  • Chris McDonald
  • Christopher Mielack
Chapter
Part of the CRM Series in Mathematical Physics book series (CRM)

Abstract

During the past two decades data visualization has matured as an own sub-discipline in computer science. Its methods are successfully applied in almost all areas of science, engineering, and medicine, in order to depict and visually analyze data—both from experiment and simulation. The goal of data visualization is to achieve a better understanding of data by intuitive, perceptually efficient and interactively steerable depictions of the data. For this specific data analysis methods are combined with visualization techniques that utilize modern computer graphics. Quantum physics, however, so far remained largely omitted as application area, in particular due to the high dimensionality of the phenomena. However, the situation is not hopeless; on the contrary, there are many ways to visualize quantum mechanical phenomena. In this paper, this will be demonstrated by means of visualizations of simulation data from quantum chemistry and high-harmonic generation.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Hans-Christian Hege
    • 1
  • Michael Koppitz
    • 1
  • Falko Marquardt
    • 1
    • 2
  • Chris McDonald
    • 3
  • Christopher Mielack
    • 1
  1. 1.Zuse Institute BerlinBerlinGermany
  2. 2.Department of MathematicsFU BerlinBerlinGermany
  3. 3.University of OttawaOttawaCanada

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