Table of Contents

Jython, Java and jHepWork.- to Jython.- Mathematical Functions.- One-dimensional Data.- Two-dimensional Data.- Multi-dimensional Data.- Arrays, Matrices and Linear Algebra.- Histograms.- Random Numbers and Statistical Samples.- Graphical Canvases.- Input and Output.- Miscellaneous Analysis Issues Using jHepWork.- Data Clustering.- Linear Regression and Curve Fitting.- Neural Networks.- Steps in Data Analysis.- Real-life Examples.

About the Author

S.V.Chekanov was born in Minsk (USSR) and received his Ph.D. in experimental physics (University of Nijmegen, The Netherlands). He has more than twenty years of experience in high-energy fields including advanced programming and analysis of large data volumes collected by high-energy experiments operated by major international collaborations. He has written over a hundred physics articles, many of them are based on analysis of experimental data from large-scale international experiments, LEP (CERN, European Organization for Nuclear Research), HERA (DESY, German Electron Synchrotron) and LHC, the Large Hadron Collider experiment at CERN. Over the past decade he has divided his time between physics analysis, developing analysis tools and providing software support for the Midwest data analysis center (USA) of the LHC experiment. In 2005 he began the creation of the jHepWork data analysis framework which is now the world's leading open-source Java software for scientists. Presently, he works at the Argonne National Laboratory (Chicago, USA).