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Data Analysis in Astronomy IV

  • Book
  • © 1992

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Editors:
  1. V. Gesù

    1. University of Palermo, Palermo, Italy

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  2. L. Scarsi

    1. University of Palermo and Institute of Cosmic Physics and Informatics/CNR, Palermo, Italy

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  3. R. Buccheri

    1. Institute of Cosmic Physics and Informatics/CNR, Palermo, Italy

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  4. P. Crane

    1. European Southern Observatory, Garching/Munich, Germany

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  5. M. C. Maccarone

    1. Institute of Cosmic Physics and Informatics/CNR, Palermo, Italy

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  6. H. U. Zimmermann

    1. Max Planck Institute for Extraterrestrial Physics, Garching/Munich, Germany

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Part of the book series: Ettore Majorana International Science Series (EMISS, volume 59)

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Table of contents (36 chapters)

  1. Front Matter

    Pages i-x
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  2. Systems and Archives in Astronomy

    1. Front Matter

      Pages 1-1
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    2. Astrophysics Data System

      • Frank Giovane
      Pages 3-10

    3. MIDAS on-Line at the Telescope

      • K. Banse, D. Baade, P. Biereichel, P. Grosbøl
      Pages 11-19

    4. Astronomical Databases: A User Approach

      • André Heck
      Pages 21-28

    5. ESIS: Science Information Retrieval

      • Miguel A. Albrecht
      Pages 29-37

    6. Markov Random Field Applications in Image Analysis

      • Anil K. Jain, Sateesha G. Nadabar
      Pages 39-50

    7. SAST - A Software Package for the Statistical Analysis of Sparse Times

      • R. Buccheri, M. Busetta, M. C. Maccarone
      Pages 51-57

    8. XRONOS: A Timing Analysis Software Package

      • L. Stella, L. Angelini
      Pages 59-64

    9. An Automatic Spectrophotometric Data Reduction System for Quantitative Spectral Classification of Stars

      • Valeri Malyuto, Jaan Pelt, Teimuraz Shvelidze
      Pages 65-71

  3. The HST Mission

    1. Front Matter

      Pages 73-73
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    2. The Hubble Space Telescope: Year One

      • Robert J. Hanisch
      Pages 75-81

    3. HST Image Restoration - Status and Prospects

      • Hans-Martin Adorf
      Pages 83-96

    4. STSDAS: The Space Telescope Science Data Analysis System

      • Robert J. Hanisch
      Pages 97-101

    5. Detecting Cosmic Ray Hits on HST WF/PC Images Using Neural Networks and Other Discriminant Analysis Approaches

      • F. D. Murtagh, H.-M. Adorf
      Pages 103-111

  4. The ROSAT Mission

    1. Front Matter

      Pages 113-113
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    2. The ROSAT Mission

      • H. U. Zimmermann
      Pages 115-119

    3. Mission Planning with ROSAT

      • S. L. Snowden, J. H. M. M. Schmitt
      Pages 121-129

    4. The ROSAT Data Archive and other Project Applications of a DBMS

      • Joachim Paul
      Pages 131-139

    5. Interactive Analysis with EXSAS

      • H. U. Zimmermann, T. Belloni, G. Boese, C. Izzo, P. Kahabka, O. Schwentker
      Pages 141-144
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Keywords

About this book

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).

Editors and Affiliations

  • University of Palermo, Palermo, Italy

    V. Gesù

  • University of Palermo and Institute of Cosmic Physics and Informatics/CNR, Palermo, Italy

    L. Scarsi

  • Institute of Cosmic Physics and Informatics/CNR, Palermo, Italy

    R. Buccheri, M. C. Maccarone

  • European Southern Observatory, Garching/Munich, Germany

    P. Crane

  • Max Planck Institute for Extraterrestrial Physics, Garching/Munich, Germany

    H. U. Zimmermann

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