Argonne physicist Sergei Chekanov (HEP) recently published a book, Numeric Computation and Statistical Data Analysis on the Java Platform (Springer International Publishing). The book provides a detailed description of the Java computational environment for data mining and knowledge discovery, which can be used with several scripting languages, such as Python, Groovy and Ruby. Chekanov also discusses real-life data-analysis examples with visualization in 2-D and 3-D, including the recent Higgs discovery at CERN.
Chekanov received his Ph.D. in experimental physics from Radboud University, Nijmegen, the Netherlands. He has more than 25 years of experience in high-energy particle physics including advanced programming and analysis of large data volumes collected by high-energy experiments. Chekanov has authored more than 100 professional articles, many of them based on analysis of experimental data from large-scale international experiments, such as LEP (CERN, European Organization for Nuclear Research), HERA (DESY, German Electron Synchrotron) and LHC, the Large Hadron Collider experiment at CERN. He is the founder of the jWork.ORG community portal for promoting scientific computing for science and education.
In 2005, he created DMelt, a data-analysis software environment. Currently, this software is the world’s leading open-source program for data analysis, statistics and scientific visualization, incorporating Java packages from more than 100 developers around the world and has thousands of users.