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Data Analysis in Astronomy IV Softcover Repri Edition
Contributor(s): Buccheri, R. (Editor), Crane, P. (Editor), Di Gesł, Vito (Editor)
ISBN: 1461364965     ISBN-13: 9781461364962
Publisher: Springer
OUR PRICE:   $52.24  
Product Type: Paperback - Other Formats
Published: October 2012
Qty:
Additional Information
BISAC Categories:
- Nature | Star Observation
- Science | Astronomy
- Science | Cosmology
Dewey: 522.85
Series: Ettore Majorana International Science
Physical Information: 0.78" H x 7" W x 10" (1.45 lbs) 364 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
In this book are reported the main results presented at the "Fourth International Workshop on Data Analysis in Astronomy", held at the Ettore Majorana Center for Scientific Culture, Erice, Sicily, Italy, on April 12-19, 1991. The Workshop was preceded by three workshops on the same subject held in Erice in 1984, 1986 and 1988. The frrst workshop (Erice 1984) was dominated by presentations of "Systems for Data Analysis"; the main systems proposed were MIDAS, AlPS, RIAIP, and SAIA. Methodologies and image analysis topics were also presented with the emphasis on cluster analysis, multivariate analysis, bootstrap methods, time analysis, periodicity, 2D photometry, spectrometry, and data compression. A general presentation on "Parallel Processing" was made which encompassed new architectures, data structures and languages. The second workshop (Erice 1986) reviewed the "Data Handling Systems" planned for large major satellites and ground experiments (VLA, HST, ROSAT, COMPASS-COMPTEL). Data analysis methods applied to physical interpretation were mainly considered (cluster photometry, astronomical optical data compression, cluster analysis for pulsar light curves, coded aperture imaging). New parallel and vectorial machines were presented (cellular machines, PAPIA-machine, MPP-machine, vector computers in astronomy). Contributions in the field of artificial intelligence and planned applications to astronomy were also considered (expert systems, artificial intelligence in computer vision).