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Interactive Exploration of Large Event Datasets in High Energy Physics
Abstract
In high energy physics the structure of matter is investigated through particle accelerator experiments where particle collisions (events) occur at such high energies that new particles are produced. Providing tools for interactive visual inspection of billions of such events occurring in an experiment in an intuitive way is a challenging task. In order to solve this problem we built on previous approaches for visual browsing through image databases and extend them in several ways in order to allow efficient navigation through the collision event datasets. The key features of our novel browsing technique are its applicability to the very large event datasets, a more intuitive selection method for specifying a region of interest, and finally a clustering-based technique that further simplifies and improves the navigation process. We demonstrate the potential of our novel visual inspection system by integrating it into an event display application for the COMPASS experiment at CERN.
Stichwörter: Earth Mover's Distance, interactive browsing, Multidimensional Scaling, similarity-based visualization
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Bibtex
@ARTICLE{hermann-2009-eventbrowser,
author = {Hermann, Max and Gre{\ss}, Alexander and Klein, Reinhard},
pages = {41--48},
title = {Interactive Exploration of Large Event Datasets in High Energy Physics},
journal = {Journal of WSCG},
volume = {17},
number = {1},
year = {2009},
month = feb,
keywords = {Earth Mover's Distance, interactive browsing, Multidimensional Scaling, similarity-based
visualization},
abstract = {In high energy physics the structure of matter is investigated through particle accelerator
experiments where particle collisions (events) occur at such high energies that new particles are
produced. Providing tools for interactive visual inspection of billions of such events occurring in
an experiment in an intuitive way is a challenging task. In order to solve this problem we built on
previous approaches for visual browsing through image databases and extend them in several ways in
order to allow efficient navigation through the collision event datasets. The key features of our
novel browsing technique are its applicability to the very large event datasets, a more intuitive
selection method for specifying a region of interest, and finally a clustering-based technique that
further simplifies and improves the navigation process. We demonstrate the potential of our novel
visual inspection system by integrating it into an event display application for the COMPASS
experiment at CERN.},
issn = {1213-6972},
conference = {The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer
Vision (WSCG 2009)}
}