Data Analysis In High Energy Physics

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Data Analysis in High Energy Physics

Author : Olaf Behnke,Kevin Kröninger,Grégory Schott,Thomas Schörner-Sadenius
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 53,5 Mb
Release : 2013-08-30
Category : Science
ISBN : 9783527653430

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Data Analysis in High Energy Physics by Olaf Behnke,Kevin Kröninger,Grégory Schott,Thomas Schörner-Sadenius Pdf

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 High-Energy Physics

Author : R. Frühwirth,M. Regler
Publisher : Cambridge University Press
Page : 412 pages
File Size : 54,7 Mb
Release : 2000-08-17
Category : Science
ISBN : 0521635489

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Data Analysis Techniques for High-Energy Physics by R. Frühwirth,M. Regler Pdf

Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.

Statistical Methods for Data Analysis in Particle Physics

Author : Luca Lista
Publisher : Springer
Page : 257 pages
File Size : 41,9 Mb
Release : 2017-10-13
Category : Science
ISBN : 9783319628400

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Statistical Methods for Data Analysis in Particle Physics by Luca Lista Pdf

This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers’ advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether. Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation).

Statistical Analysis Techniques in Particle Physics

Author : Ilya Narsky,Frank C. Porter
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 50,6 Mb
Release : 2013-10-24
Category : Science
ISBN : 9783527677290

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Statistical Analysis Techniques in Particle Physics by Ilya Narsky,Frank C. Porter Pdf

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.

Data Analysis Techniques for High-Energy Physics Experiments

Author : R. K. Bock,H. Grote,D. Notz,M. Regler
Publisher : Cambridge University Press
Page : 0 pages
File Size : 50,5 Mb
Release : 2009-06-25
Category : Science
ISBN : 0521114373

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Data Analysis Techniques for High-Energy Physics Experiments by R. K. Bock,H. Grote,D. Notz,M. Regler Pdf

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.

Statistics for Nuclear and Particle Physicists

Author : Louis Lyons
Publisher : Cambridge University Press
Page : 244 pages
File Size : 46,9 Mb
Release : 1989-04-06
Category : Science
ISBN : 0521379342

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Statistics for Nuclear and Particle Physicists by Louis Lyons Pdf

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.

Statistical Data Analysis

Author : Glen Cowan
Publisher : Oxford University Press
Page : 218 pages
File Size : 44,5 Mb
Release : 1998
Category : Mathematics
ISBN : 9780198501565

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Statistical Data Analysis by Glen Cowan Pdf

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 takenfrom 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).

Data Analysis Techniques for High-Energy Physics

Author : Rudolf Frühwirth,M. Regler,R K Bock,H Grote,D Notz
Publisher : Unknown
Page : 413 pages
File Size : 51,6 Mb
Release : 2014-05-14
Category : SCIENCE
ISBN : 1139144626

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Data Analysis Techniques for High-Energy Physics by Rudolf Frühwirth,M. Regler,R K Bock,H Grote,D Notz Pdf

Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.

Big Scientific Data Management

Author : Jianhui Li,Xiaofeng Meng,Ying Zhang,Wenjuan Cui,Zhihui Du
Publisher : Springer
Page : 332 pages
File Size : 43,6 Mb
Release : 2019-08-06
Category : Computers
ISBN : 9783030280611

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Big Scientific Data Management by Jianhui Li,Xiaofeng Meng,Ying Zhang,Wenjuan Cui,Zhihui Du Pdf

This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held in Beijing, Greece, in November/December 2018. The 24 full papers presented together with 7 short papers were carefully reviewed and selected from 86 submissions. The topics involved application cases in the big scientific data management, paradigms for enhancing scientific discovery through big data, data management challenges posed by big scientific data, machine learning methods to facilitate scientific discovery, science platforms and storage systems for large scale scientific applications, data cleansing and quality assurance of science data, and data policies.

Data Analysis Techniques for Physical Scientists

Author : Claude A. Pruneau
Publisher : Cambridge University Press
Page : 719 pages
File Size : 53,9 Mb
Release : 2017-10-05
Category : Language Arts & Disciplines
ISBN : 9781108416788

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Data Analysis Techniques for Physical Scientists by Claude A. Pruneau Pdf

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.

Physics at the Terascale

Author : Ian Brock,Thomas Schörner-Sadenius
Publisher : John Wiley & Sons
Page : 437 pages
File Size : 50,9 Mb
Release : 2011-05-04
Category : Science
ISBN : 9783527634972

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Physics at the Terascale by Ian Brock,Thomas Schörner-Sadenius Pdf

Written by authors working at the forefront of research, this accessible treatment presents the current status of the field of collider-based particle physics at the highest energies available, as well as recent results and experimental techniques. It is clearly divided into three sections; The first covers the physics -- discussing the various aspects of the Standard Model as well as its extensions, explaining important experimental results and highlighting the expectations from the Large Hadron Collider (LHC). The second is dedicated to the involved technologies and detector concepts, and the third covers the important - but often neglected - topics of the organisation and financing of high-energy physics research. A useful resource for students and researchers from high-energy physics.

Introduction to High Energy Physics

Author : Donald H. Perkins
Publisher : Cambridge University Press
Page : 128 pages
File Size : 55,6 Mb
Release : 2000-04-13
Category : Science
ISBN : 9781139643375

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Introduction to High Energy Physics by Donald H. Perkins Pdf

This highly-regarded text provides a comprehensive introduction to modern particle physics. Extensively rewritten and updated, this 4th edition includes developments in elementary particle physics, as well as its connections with cosmology and astrophysics. As in previous editions, the balance between experiment and theory is continually emphasised. The stress is on the phenomenological approach and basic theoretical concepts rather than rigorous mathematical detail. Short descriptions are given of some of the key experiments in the field, and how they have influenced our thinking. Although most of the material is presented in the context of the Standard Model of quarks and leptons, the shortcomings of this model and new physics beyond its compass (such as supersymmetry, neutrino mass and oscillations, GUTs and superstrings) are also discussed. The text includes many problems and a detailed and annotated further reading list.

Euro-Par 2019: Parallel Processing

Author : Ramin Yahyapour
Publisher : Springer
Page : 524 pages
File Size : 50,7 Mb
Release : 2019-08-13
Category : Computers
ISBN : 3030293998

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Euro-Par 2019: Parallel Processing by Ramin Yahyapour Pdf

This book constitutes the proceedings of the 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, held in Göttingen, Germany, in August 2019. The 36 full papers presented in this volume were carefully reviewed and selected from 142 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and deep learning; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; accelerator computing; algorithms and systems for bioinformatics; and algorithms and systems for digital humanities.

Experimental Particle Physics

Author : Deepak Kar
Publisher : Programme: Iop Expanding Physi
Page : 175 pages
File Size : 40,7 Mb
Release : 2019-08-29
Category : Science
ISBN : 0750321105

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Experimental Particle Physics by Deepak Kar Pdf

Experimental Particle Physics is written for advanced undergraduate or beginning postgraduate students starting data analysis in experimental particle physics at the Large Hadron Collider (LHC) at CERN. Assuming only a basic knowledge of quantum mechanics and special relativity, the text reviews the current state of affairs in particle physics, before comprehensively introducing all the ingredients that go into an analysis.

Functional Analysis and Optimization Methods in Hadron Physics

Author : Irinel Caprini
Publisher : Springer
Page : 130 pages
File Size : 41,6 Mb
Release : 2019-04-25
Category : Science
ISBN : 9783030189488

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Functional Analysis and Optimization Methods in Hadron Physics by Irinel Caprini Pdf

This book begins with a brief historical review of the early applications of standard dispersion relations in particle physics. It then presents the modern perspective within the Standard Model, emphasizing the relation of analyticity together with alternative tools applied to strong interactions, such as perturbative and lattice quantum chromodynamics (QCD), as well as chiral perturbation theory. The core of the book argues that, in order to improve the prediction of specific hadronic observables, it is often necessary to resort to methods of complex analysis more sophisticated than the simple Cauchy integral. Accordingly, a separate mathematical chapter is devoted to solving several functional analysis optimization problems. Their applications to physical amplitudes and form factors are discussed in the following chapters, which also demonstrate how to merge the analytic approach with statistical analysis tools. Given its scope, the book offers a valuable guide for researchers working in precision hadronic physics, as well as graduate students who are new to the field.