Data Analysis in Astronomy II

  • V. Di Gesù
  • L. Scarsi
  • P. Crane
  • J. H. Friedman
  • S. Levialdi

Part of the Ettore Majorana International Science Series book series (POLS, volume 21)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Data Analysis Methodologies

    1. Front Matter
      Pages 1-1
    2. Jerome H. Friedman
      Pages 3-15
    3. L. Caponetti, G. A. De Biase, L. Distante
      Pages 71-76
    4. E. Caroli, J. B. Stephen, A. Spizzichino, G. Di Cocco, L. Natalucci
      Pages 77-86
    5. V. Di Gesù, R. Buccheri, B. Sacco
      Pages 87-96
    6. M. C. Maccarone, R. Buccheri, V. Di Gesù
      Pages 97-107
    7. P. Schuecker, H. Horstmann, C. C. Volkmer
      Pages 109-116
  3. Data Handling Systems Dedicated to Large Experiments

    1. Front Matter
      Pages 117-117
    2. Peter M. B. Shames
      Pages 127-140
    3. H. U. Zimmermann, R. Gruber, G. Hasinger, J. Paul, J. Schmitt, W. Yoges
      Pages 155-163
    4. H.-M. Adorf, D. Baade, K. Banse
      Pages 165-170
    5. R. Diehl, G. Simpson, T. Casilli, V. Schoenfelder, G. Lichti, H. Steinle et al.
      Pages 171-179
    6. G. Russo, A. Richmond, R. Albrecht
      Pages 193-200
  4. Parallel Processing

    1. Front Matter
      Pages 201-201
    2. M. J. B. Duff
      Pages 203-210
    3. Stefano Levialdi
      Pages 211-223
    4. Anthony P. Reeves
      Pages 225-238
    5. Steven L. Tanimoto
      Pages 253-262
    6. O. Catalano, G. De Gaetano, V. Di Gesu’, G. Gerardi, A. Machi’, D. Tegolo
      Pages 263-270
  5. New Developments

    1. Front Matter
      Pages 271-271
    2. J. M. Chassery
      Pages 273-283
    3. François Ochsenbein
      Pages 305-313
    4. Donald C. Wells
      Pages 315-323
  6. Panel Discussions

    1. Front Matter
      Pages 325-325
    2. V. Di Gesù, L. Scarsi, P. Crane, J. H. Friedman, S. Levialdi
      Pages 343-357
    3. Philippe Crane, Stefano Levialdi, Peter Shames, Steve Tanimoto, Michael Duff
      Pages 377-395
  7. Back Matter
    Pages 397-399

About this book


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.


Clustering Computer Vision Simulation artificial intelligence classification cluster analysis data analysis

Editors and affiliations

  • V. Di Gesù
    • 1
  • L. Scarsi
    • 1
  • P. Crane
    • 2
  • J. H. Friedman
    • 3
  • S. Levialdi
    • 4
  1. 1.University of Palermo and Institute of Cosmic Physics and Informatics/CNRPalermoItaly
  2. 2.European Southern ObservatoryGarching/MunichFederal Republic of Germany
  3. 3.Stanford UniversityStanfordUSA
  4. 4.University of RomeRomeItaly

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag US 1986
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9317-0
  • Online ISBN 978-1-4613-2249-8
  • Series Print ISSN 0093-6286
  • Buy this book on publisher's site