This book PDF is perfect for those who love Science genre, written by R. Frühwirth and published by Cambridge University Press which was released on 17 August 2000 with total hardcover pages 412. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Data Analysis Techniques for High Energy Physics books below.
| Author | : R. Frühwirth |
| File Size | : 45,6 Mb |
| Publisher | : Cambridge University Press |
| Language | : English |
| Release Date | : 17 August 2000 |
| ISBN | : 0521635489 |
| Pages | : 412 pages |
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.
Get BookHigh-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
Get BookThis 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
Get BookModern 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.
Get BookThis 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
Get BookA 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.
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Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.
Get BookThis 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
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