Data Analysis Techniques For High Energy Physics
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Data Analysis Techniques For High Energy Physics
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Author : Rudolf Frühwirth
language : en
Publisher: Cambridge University Press
Release Date : 2000-08-17
Data Analysis Techniques For High Energy Physics written by Rudolf Frühwirth and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-17 with Medical categories.
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.
Data Analysis In High Energy Physics
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Author : Olaf Behnke
language : en
Publisher: John Wiley & Sons
Release Date : 2013-08-30
Data Analysis In High Energy Physics written by Olaf Behnke and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-30 with Science categories.
This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice for typical questions and problems. The basic methods for inferring results from data are presented as well as tools for advanced tasks such as improving the signal-to-background ratio, correcting detector effects, determining systematics and many others. Concrete applications are discussed in analysis walkthroughs. Each chapter is supplemented by numerous examples and exercises and by a list of literature and relevant links. The book targets a broad readership at all career levels - from students to senior researchers. An accompanying website provides more algorithms as well as up-to-date information and links. * Free solutions manual available for lecturers at www.wiley-vch.de/supplements/
Data Analysis Techniques For Physical Scientists
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Author : Claude A. Pruneau
language : en
Publisher: Cambridge University Press
Release Date : 2017-10-05
Data Analysis Techniques For Physical Scientists written by Claude A. Pruneau and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Language Arts & Disciplines categories.
A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods. This book provides a valuable resource for advanced undergraduate and graduate students, as well as practitioners in the fields of experimental particle physics, nuclear physics and astrophysics.
Data Analysis Techniques For High Energy Physics Experiments
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Author : R. K. Bock
language : en
Publisher: Cambridge University Press
Release Date : 2009-06-25
Data Analysis Techniques For High Energy Physics Experiments written by R. K. Bock and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-25 with Science categories.
High-energy physics - the science of the fundamental particles nature - has become one of the most complex and demanding disciplines of natural science. The observation of particle interactions involves the analysis of large and intricate data samples. The very high cost of these experiments makes the full and correct use of the information imperative. Successful interpretation of the data requires the application of advanced mathematical algorithms and computer techniques in all stages of the analysis. The necessary and available techniques of all steps of the analysis have been assembled in a single book. All four authors have had many years' involvement with high-energy physics experiments at CERN, DESY and other particle accelerators around the world. They have written this book both as an introduction and to inform the reader on the most advanced techniques of data analysis in this field. It will be of great value to people involved in experimental research in particle physics, including beginning graduates, computer electronic engineers and senior academics.
Data Analysis Techniques For High Energy Physics
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Author : Rudolf Frühwirth
language : en
Publisher:
Release Date : 2014-05-14
Data Analysis Techniques For High Energy Physics written by Rudolf Frühwirth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with SCIENCE categories.
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.
Data Analysis Techniques For High Energy Physics Experiments
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Author : R. K. Bock
language : en
Publisher: Cambridge University Press
Release Date : 1990-02-22
Data Analysis Techniques For High Energy Physics Experiments written by R. K. Bock and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-02-22 with Science categories.
Very Good,No Highlights or Markup,all pages are intact.
Statistics For Nuclear And Particle Physicists
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Author : Louis Lyons
language : en
Publisher: Cambridge University Press
Release Date : 1989-04-06
Statistics For Nuclear And Particle Physicists written by Louis Lyons and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-04-06 with Science categories.
This book, written by a non-statistician for non-statisticians, emphasises the practical approach to those problems in statistics which arise regularly in data analysis situations in nuclear and high-energy physics experiments. Rather than concentrating on formal proofs of theorems, an abundant use of simple examples illustrates the general ideas which are presented, showing the reader how to obtain the maximum information from the data in the simplest manner. Possible difficulties with the various techniques, and pitfalls to be avoided, are also discussed. Based on a series of lectures given by the author to both students and staff at Oxford, this common-sense approach to statistics will enable nuclear physicists to understand better how to do justice to their data in both analysis and interpretation.
Data Analysis Techniques In High Energy Physics
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Author : M. Jobes
language : en
Publisher:
Release Date : 1972
Data Analysis Techniques In High Energy Physics written by M. Jobes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with categories.
Statistical Data Analysis
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Author : Glen Cowan
language : en
Publisher: Oxford University Press
Release Date : 1998
Statistical Data Analysis written by Glen Cowan and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).
Experimental Techniques In Modern High Energy Physics
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Author : Kazunori Hanagaki
language : en
Publisher: Springer Nature
Release Date : 2023-01-30
Experimental Techniques In Modern High Energy Physics written by Kazunori Hanagaki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-30 with Science categories.
This open access book offers a concise overview of how data from large scale experiments are analyzed and how technological tools are used in practice, as in the search for new elementary particles. It focuses on interconnects between physics and detector technology in experimental particle physics, and includes descriptions of mathematical approaches. Readers find all the important steps in analysis, including reconstruction of the momentum and energy of particles from detector information, particle identification, and also the general concept of simulating particle production from collisions and detector responses. As the scale of scientific experiments becomes larger and data-intensive science emerges, the techniques used in the data analysis become ever more complicated, making it difficult for beginners to grasp the overall picture. The book provides an explanation of the idea and concepts behind the methods, helping readers understand journal articles on high energy physics. This book is engaging as it does not overemphasize mathematical formalism and it gives a lively example of how such methods have been applied to the Higgs particle discovery in the Large Hadron Collider (LHC) experiments, which led to Englert and Higgs being awarded the Nobel Prize in Physics for 2013. Graduate students and young researchers can easily obtain the required knowledge on how to start data analyses from these notes, without having to spend time in consulting many experts or digesting huge amounts of literature.