Data Analysis in Astronomy IV

Data Analysis in Astronomy IV
Author: R. Buccheri
Publisher: Springer Science & Business Media
Total Pages: 356
Release: 2012-12-06
Genre: Science
ISBN: 1461533880

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).

Astronomical Image and Data Analysis

Astronomical Image and Data Analysis
Author: J.-L. Starck
Publisher: Springer Science & Business Media
Total Pages: 292
Release: 2013-04-17
Genre: Science
ISBN: 3662049066

Using information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis through a modern arsenal of powerful techniques. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools.

Data Analysis in Astronomy IV

Data Analysis in Astronomy IV
Author: V. Di Gesù
Publisher: Springer Science & Business Media
Total Pages: 384
Release: 1992
Genre: Nature
ISBN: 9780306441066

Reports the main results of an international workshop in Erice, Sicily, April 1991, at which astronomers and computer scientists reviewed the evolution of data analysis in astronomy during the past decade. The 32 papers cover systems and archives; the HST, ROSAT, and GRO missions, and future mission

Deconvolution of Images and Spectra

Deconvolution of Images and Spectra
Author: Peter A. Jansson
Publisher: Courier Corporation
Total Pages: 530
Release: 2014-05-05
Genre: Technology & Engineering
ISBN: 0486294455

Deconvolution is a technique in signal or image processing that is applied to recover information. When it is employed, it is usually because instrumental effects of spreading and blurring have obscured that information. In 1996, Deconvolution of Images and Spectra was published (Academic Press) as a second edition of Jansson's 1984 book, Deconvolution with Applications in Spectroscopy. This landmark volume was first published to provide both an overview of the field, and practical methods and results. The present Dover edition is a corrected reprinting of the second edition. It incorporates all the advantages of its predecessors by conveying a clear understanding of the field while providing a selection of effective, practical techniques. The authors assume only a working knowledge of calculus, and emphasize practical applications over topics of theoretical interest, focusing on areas that have been pivotal to the evolution of the most effective methods. This tutorial is essentially self-contained. Readers will find it practical and easy to understand.