Speaker
J. Drohan
(University College London)
Description
We describe the philosophy and design of Atlantis, an event visualisation
program for the ATLAS experiment at CERN. Written in Java, it employs the
Swing API to provide an easily configurable Graphical User Interface.
Atlantis implements a collection of intuitive, data-orientated 2D
projections, which enable the user to quickly understand and visually
investigate complete ATLAS events. Event data is read in from XML files
produced by a dedicated algorithm running in the ATLAS software framework
ATHENA, and translated into internal data objects. Within the same main
canvas area, multiple views of the data can be displayed with varying size
and position. Interactions such as zoom, selection and query can occur
between these views using Drag and Drop.
Associations between data objects as well as the values of their member
variables provide criteria upon which the Atlantis user may filter a full
Atlas event. By choosing whether or not to show certain data and, if so,
in what colour, a more personalised and useful display may be obtained.
The user can dynamically create and manage their own associations and
perform context dependent operations upon them.
Primary authors
C. Timmermans
(University of Nijmegen)
D. Petrusca
(Seigen/CERN)
E. JANSEN
(University of Nijmegen)
F. Crijns
(University of Nijmegen)
G. Taylor
(UC Santa Cruz)
H. Drevermann
(CERN)
J. Couchman
(University College London)
J. Drohan
(University College London)
N. Konstantinidis
(UNIVERSITY COLLEGE LONDON)
P. Klok
(University of Nijmegen)
Z. MAXA
(University College London)
