Data Analysis Techniques for High-Energy Physics (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11)
Frühwirth, R.; Regler, M.; Bock, R. K.; Grote, H.; Notz, D.
ISBN 10: 0521635489 ISBN 13: 9780521635486
Editore: Cambridge University Press, 2000
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Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.
Descrizione del libro: Now thoroughly revised and up-dated, this indispensable guide describes techniques for handling and analysing large and complex data samples obtained from high-energy and nuclear physics experiments. It includes pattern recognition techniques to group measurements into physically meaningful objects like particle tracks and methods of extracting maximum information from available measurements.
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Titolo: Data Analysis Techniques for High-Energy ...
Casa editrice: Cambridge University Press
Data di pubblicazione: 2000
Legatura: Brossura
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Edizione: seconda edizione
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Data Analysis Techniques for High-Energy Physics - 2nd edition
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Cambridge University Press, 2000
ISBN 10: 0521635489
ISBN 13: 9780521635486
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Condizione: Good. 2nd Edition. Paperback, illustrated with numerous equations, graphs and diagrams, 8vo. Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, 11. Codice articolo 352000-ZC1
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Data Analysis Techniques for High-Energy Physics (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11)
Editore:
Cambridge University Press, 2000
ISBN 10: 0521635489
ISBN 13: 9780521635486
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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_432566234
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Data Analysis Techniques for High-Energy Physics (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11)
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Data Analysis Techniques for High-Energy Physics
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ISBN 10: 0521635489
ISBN 13: 9780521635486
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Data Analysis Techniques for High-Energy Physics (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11)
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Paperback. Condizione: Brand New. 2nd edition. 408 pages. 9.25x6.50x1.00 inches. In Stock. This item is printed on demand. Codice articolo __0521635489
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Data Analysis Techniques for High-Energy Physics
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Cambridge University Press, 2000
ISBN 10: 0521635489
ISBN 13: 9780521635486
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Now thoroughly revised and up-dated, this indispensable guide describes techniques for handling and analysing large and complex data samples obtained from high-energy and nuclear physics experiments. It includes pattern recognition techniques to group measu. Codice articolo 446943228
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Data Analysis Techniques for High-Energy Physics (Paperback)
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Cambridge University Press, Cambridge, 2006
ISBN 10: 0521635489
ISBN 13: 9780521635486
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Paperback. Condizione: new. Paperback. Now thoroughly revised and up-dated, this book describes techniques for handling and analysing data obtained from high-energy and nuclear physics experiments. The observation of particle interactions involves the analysis of large and complex data samples. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a sometimes huge background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects like particle tracks or showers is then examined and the track and vertex fitting methods necessary to extract the maximum amount of information from the available measurements are explained. The final chapter describes tools and methods which are useful to the experimenter in the physical interpretation and in the presentation of the results. This indispensable guide will appeal to graduate students, researchers and computer and electronic engineers involved with experimental physics. Now thoroughly revised and up-dated, this volume describes techniques for handling and analyzing data obtained from high-energy and nuclear physics experiments. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a large background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects such as particle tracks or showers is then examined and the track and vertex fitting methods necessary to extract the maximum amount of information from the available measurements are explained. The final chapter describes tools and methods useful for the physical interpretation and presentation of results. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521635486
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Data Analysis Techniques for High-Energy Physics (Paperback)
Editore:
Cambridge University Press, Cambridge, 2006
ISBN 10: 0521635489
ISBN 13: 9780521635486
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Paperback. Condizione: new. Paperback. Now thoroughly revised and up-dated, this book describes techniques for handling and analysing data obtained from high-energy and nuclear physics experiments. The observation of particle interactions involves the analysis of large and complex data samples. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a sometimes huge background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects like particle tracks or showers is then examined and the track and vertex fitting methods necessary to extract the maximum amount of information from the available measurements are explained. The final chapter describes tools and methods which are useful to the experimenter in the physical interpretation and in the presentation of the results. This indispensable guide will appeal to graduate students, researchers and computer and electronic engineers involved with experimental physics. Now thoroughly revised and up-dated, this volume describes techniques for handling and analyzing data obtained from high-energy and nuclear physics experiments. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a large background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects such as particle tracks or showers is then examined and the track and vertex fitting methods necessary to extract the maximum amount of information from the available measurements are explained. The final chapter describes tools and methods useful for the physical interpretation and presentation of results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521635486
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