Astrophysics at ultra-high energies : International School of Cosmic Ray Astrophysics, 15th course, Erice, Italy, 20-27 June 2006
Author(s)
Bibliographic Information
Astrophysics at ultra-high energies : International School of Cosmic Ray Astrophysics, 15th course, Erice, Italy, 20-27 June 2006
(The science and culture series, Astrophysics)
World Scientific, c2007
Available at 6 libraries
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Note
Includes bibliographical references
Description and Table of Contents
Description
This book introduces young researchers to the exciting field of ultra-high energy astrophysics including charged particles, gamma rays and neutrinos. At ultra-high energy the radiation is produced by interactions of cosmic ray particles accelerated in explosive events such as supernovae or hypernovae, black holes or, possibly, the big bang. Through direct contact with senior scientists, now actively planning the next generation of experiments/models, the excitement and motivation for research at ultra-high energy was conveyed. The underpinning of these fields is a synthesis of knowledge and techniques from nuclear and particle physics, astronomy and cosmology. Informing the participants of this background, how it was derived, and the new challenges for the future are the major goal. Further, the course has helped to foster new astrophysical research and promoted contacts, which have resulted in new collaborations.
Table of Contents
- Astrophysics, Cosmology and Earth Physics: Simulations for UHE Cosmic Ray Experiments (J Knapp)
- Problems and Solutions in Climate Modeling (A Sutera)
- 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: Optimization Strategies for Modeling and Simulation (J Louchet)
- Topological Approaches to Searching and Matching in Massive Data Sets (F Murtagh)
- Interactive Machine Learning Tools for Data Analysis (R Tagliaferri et al.)
- From the Qubit to the Quantum Search Algorithms (G Cariolaro & T Occhipinti)
- and other papers.
by "Nielsen BookData"