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   -> Volume 4, Issue 3


Project: (ESF) Converging Computing Methodologies in Astronomy
 
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fmurtagh@eso.org
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PostPosted: Mon Dec 02, 2002 5:45 pm    
Subject: Project: (ESF) Converging Computing Methodologies in Astronomy
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Project: (ESF) Converging Computing Methodologies in Astronomy

Topic- 3-year ESF project: 'Converging Computing Methodologies in Astronomy'
European Science Foundation (ESF) 'scientific network' on "Converging
Computing Methodologies in Astronomy" makes its debut...

An ESF scientific network provides funding for work visits and workshops
over a 3-year period. The above scientific network started at the beginning
of this year. Among central topics are:

- From vision models to image information retrieval:
Methods such as wavelets and multiresolution approaches, mathematical
morphology, and fuzzy methods have proven their worth in the framework of
accessing appropriate information from large image databases. Such methods
must be moulded together to allow semantically-driven access to data.
- The data life-cycle - methodological aspects:
The astronomical data life-cycle is highly digital: data capture is
increasingly on CCD electronic detectors, data are subject to image
processing and statistical treatment, and the final major stage in this
process involves data archiving, and publication. Not surprisingly,
the issues of electronic publishing and of digital libraries are
increasingly central.
- From data integration to information integration:
Particular data integration (data fusion) problems, such as integration
of data associated with different wavelength ranges, are of great
relevance in the context of large space- and ground-based observing
projects. E.g. co-addition in image restoration; image restoration and
filtering approaches which incorporate semantic information on the cosmic
objects of interest; close, complementary use of multi-million object
astronomical catalogs; classification of terabyte data collections.
Long-term access to stored data - what should be the "future of [society's]
memory?". Beyond data, astronomy is all about information. Compression is
central - in a broad sense, compression is summarization, and therefore is
part of the overall process of scientific analysis.

Coordinating committee of the scientific network: A. Bijaoui (Nice), V. Di
Gesu (Palermo), A. Heck (Strasbourg), M.J. Kurtz (Harvard), P. Linde (Lund),
M.C. Maccarone (Palermo) - Chair, R. McMahon (Cambridge), R. Molina (Granada),
F. Murtagh (Munich) - Secretary, E. Raimond (Dwingeloo).

Further information will be available on the WWW at the address:
http://www.hq.eso.org/conv-comp.html
All times are GMT + 1 Hour
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