Data Analysis in Astronomy II

✍ Scribed by Jerome H. Friedman (auth.), V. Di Gesù, L. Scarsi, P. Crane, J. H. Friedman, S. Levialdi (eds.)

• Publisher: Springer US
• Year: 1986
• Tongue: English
• Leaves: 388
• Series: Ettore Majorana International Science Series 21
• Edition: 1
• Category: Library

✦ Synopsis

The II international workshop on "Data Analysis in Astronomy" was intended to provide an overview on the state of the art and the trend in data analy­ sis and image processing in the context of their applications in Astronomy. The need for the organization of a second workshop in this subject derived from the steady. growing and development in the field and from the increasing cross-interaction between methods, technology and applications in Astronomy. The book is organized in four main sections: - Data Analysis Methodologies - Data Handling and Systems dedicated to Large Experiments - Parallel Processing - New Developments The topics which have been selected cover some of the main fields in data analysis in Astronomy. Methods that provide a major contribution to the physical interpretation of the data have been considered. Attention has been devoted to the description of the data analysis and handling organization in very large experiments. A review of the current major satellite and ground based experiments has been included. At the end of the book the following 'Panel Discussions' are included: - Data Analysis Trend in Optical and Radio Astronomy - Data Analysis Trend in X and Gamma Astronomy - Problems and Solutions in the Design of Very Large Experiments - Trend on Parallel Processing Algorithms These contributions in a sense summarize the 'live' reaction of the audience to the various topics.

✦ Table of Contents

Front Matter....Pages i-xi
Front Matter....Pages 1-1
A Statistician’s View of Data Analysis....Pages 3-15
Cluster Photometry: Present State of the Art and Future Developments....Pages 17-30
Clustering Techniques and their Applications....Pages 31-43
Problems and Solutions in Surface Photometry....Pages 45-59
Classification of Low-Resolution Stellar Spectra via Template Matching — A Simulation Study....Pages 61-69
An Approach to the Astronomical Optical Image Compression....Pages 71-76
Coded Aperture Imaging....Pages 77-86
“Study of Pulsar Light Curves by Cluster Analysis”....Pages 87-96
“Multivariate Cluster Analysis of Radio Pulsar Data”....Pages 97-107
Automatic Processing of Very Low-Dispersion Spectra....Pages 109-116
Front Matter....Pages 117-117
VLA: Methodological and Computational Requirements....Pages 119-126
Perspective on Data Analysis for the Space Telescope....Pages 127-140
Present and Planned Large Groundbased Telescopes: an Overview of some Computer and Data Analysis Applications Associated with their Use....Pages 141-154
Data Analysis for the ROSAT Mission....Pages 155-163
Preparing Analysis of Hubble Space Telescope Data in Europe....Pages 165-170
COMPASS: the COMPTEL Processing and Analysis Software Software System....Pages 171-179
The Strasbourg Astronomical Data Centre (CDS) and the Setting Up of a European Astronomical Data Network....Pages 181-185
An Indexing Algorithm for Large Melti-Dimensional Arrays....Pages 187-192
The European Scientific Data Archive for the Hubble Space Telescope....Pages 193-200
Front Matter....Pages 201-201
Cellular Machines - Theory and Practice....Pages 203-210
Front Matter....Pages 201-201
The PAPIA Project....Pages 211-223
Languages for Parallel Processors....Pages 225-238
The Massively Parallel Processor: A Highly Parallel Scientific Computer....Pages 239-252
Parallel Processing: From Low- to High-Level Vision....Pages 253-262
Low Level Languages for the PAPIA Machine....Pages 263-270
Front Matter....Pages 271-271
Expert System for Data Analysis....Pages 273-283
An Unified View of Artificial Intelligence and Computer Vision....Pages 285-304
Data Storage and Retrieval in Astronomy....Pages 305-313
Vector Computers in Astronomical Data Analysis....Pages 315-323
Front Matter....Pages 325-325
Panel Discussion: Data Analysis Trends in Optical and Radio Astronomy....Pages 327-341
Panel Discussion on Data Analysis Trends in X-Ray and Gamma-Ray Astronomy....Pages 343-357
Panel Discussion—Problems in Large Scale Experiments....Pages 359-375
Trends in Parallel Processing Applications....Pages 377-395
Back Matter....Pages 397-399

✦ Subjects

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences