Data Analys Tech High Ener Phys 2ed: 11 (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11) - Softcover
Synopsis
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.
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Book Description
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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Data Analysis Techniques for High-Energy Physics - 2nd edition
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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) (Volume 0)
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ISBN 13: 9780521635486
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Data Analysis Techniques for High-Energy Physics (Paperback)
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Cambridge University Press, Cambridge, 2000
ISBN 10: 0521635489
ISBN 13: 9780521635486
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Paperback. Condition: 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 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521635486
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Data Analysis Techniques for High-Energy Physics (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11) (Volume 0)
Published by
Cambridge University Press, 2000
ISBN 10: 0521635489
ISBN 13: 9780521635486
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Data Analysis Techniques for High-Energy Physics
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ISBN 10: 0521635489
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Data Analysis Techniques for High-Energy Physics
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Data Analys Tech High Ener Phys 2ed: 11 (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11)
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ISBN 10: 0521635489
ISBN 13: 9780521635486
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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 (Paperback)
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Cambridge University Press, Cambridge, 2006
ISBN 10: 0521635489
ISBN 13: 9780521635486
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Paperback. Condition: 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. Seller Inventory # 9780521635486
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Data Analysis Techniques for High-Energy Physics (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11)
Published by
Cambridge University Press, 2000
ISBN 10: 0521635489
ISBN 13: 9780521635486
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paperback. Condition: New. In shrink wrap. Looks like an interesting title! Seller Inventory # Q-0521635489