Search results for: data-analysis-techniques-for-high-energy-physics

Data Analysis Techniques for High Energy Physics

Author : R. K. Bock
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Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.

Data Analysis in High Energy Physics

Author : Olaf Behnke
File Size : 71.90 MB
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This practical guide covers the most essential statistics-related tasks and problems encountered in high-energy physics data analyses. It addresses both advanced students entering the field of particle physics as well as researchers looking for a reliable source on optimal separation of signal and background, determining signals or estimating upper limits, correcting the data for detector effects and evaluating systematic uncertainties. Each chapter is dedicated to a single topic and supplemented by a substantial number of both paper and computer exercises related to real experiments, with the solutions provided at the end of the book along with references. A special feature of the book are the analysis walk-throughs used to illustrate the application of the methods discussed beforehand. The authors give examples of data analysis, referring to real problems in HEP, and display the different stages of data analysis in a descriptive manner. The accompanying website provides more algorithms as well as up- to-date information and links.

Nuclear Science Abstracts

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Advanced Computing and Analysis Techniques in Physics Research

Author : International Workshop on Advanced Computing and Analysis Techniques in Phyics Research
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Over the next decade or two, an impressive array of scientific instruments at the Tevatron, RHIC (Relativistic Heavy Ion Collider) and LHC (Large Hadron collider), LIGO (Laser Interferometer Gravitational Observatory) and SDSS (Sloan Digital Sky Survey), to name a few, will usher in the most comprehensive program of study of the fundamental forces of nature and the structure of the universe. Major discoveries are anticipated. But, it is our conviction that the pace of discoveries will be severely impeded unless a concerted effort is made to deploy and employ advanced computing techniques to handle, process and analyze the unprecedented amounts of data. The workshop followed four main tracks: Artificial Intelligence (neural networks and other adaptive multivariate methods); Innovative Software Algorithms and Tools; Symbolic Problem Solving; and Very Large Scale Computing. The workshop covered applications in high energy physics, astrophysics, accelerator physics and nuclear physics. Topics included are: uses of C++ in scientific computing, large scale simulations, advanced analysis environments, worldwide computing; artificial intelligence: online application of neural networks, applications in data analysis, theoretical aspects innovative software algorithms and tools: online monitoring and controls, physics analysis and reconstruction algorithms, pattern recognition techniques, common libraries, grid and distributed computing techniques; symbolic problem solving: Freynman diagram algorithms and tools, symbolic manipulation via function objects, symbolic techniques for Feynman diagrams, multi-loop calculations and results. very large scale computing: online monitoring and controls, analysis farms and DAQ systems, grid architectures

Nuclear Science Abstracts

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Statistical Analysis Techniques in Particle Physics

Author : Ilya Narsky
File Size : 51.8 MB
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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.

High Energy Physics Index

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INIS Atomindex

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File Size : 78.19 MB
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The Cumulative Book Index

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A world list of books in the English language.

CERN

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File Size : 55.30 MB
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Statistical Methods for Data Analysis in Particle Physics

Author : Luca Lista
File Size : 69.4 MB
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This concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data.

American Journal of Physics

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File Size : 42.41 MB
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Who s who in Science in Europe

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Volumes for 1972- include also scientists from the East European countries.

Energy Research Abstracts

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File Size : 76.34 MB
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Techniques and Concepts of High energy Physics VII

Author : Thomas Ferbel
File Size : 21.48 MB
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Proceedings of a NATO Advance Study Institute held in St. Croix, US Virgin Islands, July 1992. Among the topics in nine lecture-papers: the quark mixing matrix and CP violation; issues in B physics; the search for the top quark at the Tevatron; detection of dark matter and solar neutrinos; recent de

Research Opportunities for Undergraduates

Author : Pennsylvania State University
File Size : 21.51 MB
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Proceedings of the Meeting of the Division of Particles and Fields of the American Physical Society for the Year 2004 DPF2004

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File Size : 61.82 MB
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Graduate Catalog

Author : University of Arizona. Graduate College
File Size : 89.35 MB
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Technometrics

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File Size : 26.87 MB
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Subatomic Physics

Author : Hans Frauenfelder
File Size : 60.34 MB
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An explanation of the basic concepts of theoretical and experimental nuclear and particle physics.