Name: Statistical Analysis Techniques In Particle Physics: Fits, Density Estimation And Supervised Learning
Price: 99.86 GBP
Availability: InStock
Author: Ilya Narsky, Frank C. Porter
ISBN: 9783527410866

portada Statistical Analysis Techniques In Particle Physics: Fits, Density Estimation And Supervised Learning

Type

Physical Book

Publisher

Wiley - Vch

Author

Ilya Narsky, Frank C. Porter

Topic

Nuclear & High Energy Physics

Collection

Vch Gr English Language

Pages

459

ISBN

3527410864

ISBN13

9783527410866

Synopsis "Statistical Analysis Techniques In Particle Physics: Fits, Density Estimation And Supervised Learning"

Modern Analysis Of Physics Data Often Relies On Advanced Techniques For Separation Of Signal And Background. Usually This Involves Some Machine Learning Technique, Which Is The Focus Of This Book. By Means Of Analysis Examples It Is Shown How Observables Are Extracted From Data, How Signal And Background Are Estimated And How Accurate Error Estimates Are Obtained Exploiting Uni - And Multivariate Analysis Techniques, Such As Non - Parametric Density Estimation, Likelihood Fits, Neural Networks, Support Vector Machines, Decision Trees, Ensembles Of Classifiers Etc. The Book Includes Simple Code Snippets Which Depend On Software Suites Such As Root, Matlab, Or Specific Machine Learning Packages Such As Statpatternrecognition. These Snippets Either Include Codes For Generating Data Or Use Public Data Downloadable Off The Web. The Book Is Intended For Study And Research. The Material Is Partially Based On Lecture Series By The Authors At The Stanford National Accelerator Laboratory, At Caltech, And The Babar Analysis School