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Data Analys Tech High Ener Phys 2ed: 11 (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11) - Softcover

 
9780521635486: Data Analys Tech High Ener Phys 2ed: 11 (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology, Series Number 11)

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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.

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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.

"About this title" may belong to another edition of this title.

  • PublisherCambridge University Press
  • Publication date2008
  • ISBN 10 0521635489
  • ISBN 13 9780521635486
  • BindingPaperback
  • LanguageEnglish
  • Edition number2
  • Number of pages412

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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. 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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