9–11 May 2007
Manchester, United Kingdom
Europe/Zurich timezone

Automatic Detection of Gravitational Arcs

9 May 2007, 17:30
2h 30m
Manchester, United Kingdom

Manchester, United Kingdom

Board: P-019
poster Poster session Poster and Demo Session

Speaker

Dr Wolfgang Kausch (Institut für Astro- und Teilchenphysik, Universität Innsbruck)

Report on the experience (or the proposed activity). It would be very important to mention key services which are essential for the success of your activity on the EGEE infrastructure.

We have access to astrophysical images taken with various
instrument/ telescope
combinations containing proven gravitational arcs. Therefore we
are able optimize the
parameter sets to each individual of these instrument/telescope
combinations we have
in use. This will be done by varying the parameter values within
meaningful ranges,
which are already roughly constraint. In particular, we expect
the job type
Parametric" offered in the GLite middleware to be very useful for
our purposes. The
future use of the EGEE infrastructure with its tremendous
computing power offers also
the possibility for a much larger number of parameter value
combinations compared to
Beowulf clusters. Also the step size of the value variation can
be decreased
dramatically.

Describe the scientific/technical community and the scientific/technical activity using (planning to use) the EGEE infrastructure. A high-level description is needed (neither a detailed specialist report nor a list of references).

Gravitational arcs are highly distorted and often magnified
images of very distant
galaxies. These images are caused by the gravitational lens
effect and are extremely
useful tools for various astrophysical purposes, e.g. mass
determinations of the
lens, investigations on the very early universe and even
cosmological studies.
However, these objects are usually very thin and faint structures
and are therefore
very hard to detect, in particular on Wide Field images.

With a forward look to future evolution, discuss the issues you have encountered (or that you expect) in using the EGEE infrastructure. Wherever possible, point out the experience limitations (both in terms of existing services or missing functionality)

We will further constrain the parameter space in a first step.
This is necessary as
an inappropriate set of values may cause a dramatic increase in
computing time. The
second step will then be the main parameter study. Both steps
have to be done for
each individual instrument separately.

Describe the added value of the Grid for the scientific/technical activity you (plan to) do on the Grid. This should include the scale of the activity and of the potential user community and the relevance for other scientific or business applications

We have developed a new algorithm for an automated detection of
these useful objects.
This algorithm consists of mainly four steps: (1) a small
Gaussian presmoothing, (2)
histogram modification for defining the expected dynamic range of
the arcs, (3)
anisotropic filtering, which is a direction depended smoothing
for enhancing arc-like
structures, and, finally, (4) the selection of the arc
candidates, which is done by
defining selection criteria. All four steps depend on various
parameters having large
influence on the final detection success. However, this set of
parameters has to be
optimised for each individual combination of the used
telescope/detector setup, as
images of the same object taken with different instruments
differ, e.g. in depth or
resolution. Therefore the use of EGEE resources offer the
possibility to perform
parameter studies on each single setup. Once performed we expect
this parameter set
to be very useful for all astrophysicists working working on this
topic.

Author

Dr Wolfgang Kausch (Institut für Astro- und Teilchenphysik, Universität Innsbruck)

Co-authors

Dr Frank Lenzen (Institut für Informatik, Universität innsbruck) Prof. Sabine Schindler (Institut für Astro- und Teilchenphysik, Universität Innsbruck)

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