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The Science and Culture Series — Astrophysics

MODELLING AND SIMULATION IN SCIENCE
Proceedings of the 6th International Workshop on Data Analysis in Astronomy ≪Livio Scarsi≫
Erice, Italy 15 - 22 April 2007

edited by Vito Di Gesù, Giosuè Lo Bosco (Università degli Studi di Palermo, Italy) & Maria Concetta Maccarone (IASF-Pa/INAF, Italy)

Table of Contents (75k)
Preface (940k)
Chapter 1: Simulations for Uhe Cosmic Ray Experiments (562k)

This proceedings volume contains results presented at the Sixth International Workshop on Data Analysis in Astronomy — "Modeling and Simulation in Science" held on April 15–22, 2007, at the Ettore Majorana Foundation and Center for Scientific Culture, Erice, Italy. Recent progress and new trends in the field of simulation and modeling in three branches of science — astrophysics, biology, and climatology — are described in papers presented by outstanding scientists. The impact of new technologies on the design of novel data analysis systems and the interrelation among different fields are foremost in scientists’ minds in the modern era. This book therefore focuses primarily on data analysis methodologies and techniques.


Contents:

  • Astrophysics, Cosmology and Earth Physics:
  • Simulations for UHE Cosmic Ray Experiments (J Knapp)
  • Problems and Solutions in Climate Modeling (A Sutera)
  • Statistical Analysis of Quasar Data and Validity of the Hubble Law (S Roy et al.)
  • Quantum Astronomy and Information (C Barbieri)
  • Biology, Biochemistry and Bioinformatics:
  • From Genomes to Protein Models and Back (A Tramontano et al.)
  • Exploring Biomolecular Recognition by Modeling and Simulation (R Wade)
  • BioInfogrid: Bioinformatics Simulation and Modeling Based on Grid (L Milanesi)
  • Methods and Techniques:
  • Optimisation Strategies for Modeling and Simulation (J Louchet)
  • Biclustering Bioinformatics Data Sets: A Possibilistic Approach (F Masulli)
  • From the Qubit to the Quantum Search Algorithms (G Cariolaro & T Occhipinti)
  • Comparison of Stereo Vision Techniques for Cloud-Top Height Retrieval (A Anzalone et al.)
  • and other papers


Readership: Physicists; biologists; computer scientists and data analysts.

352pp Pub. date: Dec 2007
ISBN 978-981-277-944-1
981-277-944-2
US$110 / £59


Copyright © 2008 World Scientific Publishing Co. All rights reserved.
Updated on 12 May 2008