1–5 Sept 2014
Faculty of Civil Engineering
Europe/Prague timezone

Multivariate Data Analysis in HEP. Successes, challenges and future outlook.

4 Sept 2014, 11:50
35m
Faculty of Civil Engineering

Faculty of Civil Engineering

Faculty of Civil Engineering, Czech Technical University in Prague Thakurova 7/2077 Prague 166 29 Czech Republic
Plenary Data Analysis - Algorithms and Tools Plenary

Speaker

Helge Voss (Max-Planck-Gesellschaft (DE))

Description

Extensive use of multivariate techniques has allowed the HEP experiments to improve the information content extracted from their data. This affected both the event reconstruction from the detector response as well as the selection process along a given physics signature. While in many aspects at the forefront of technology, modern statistical analysis tools have only slowly moved from the world of computer science to everyday physics analysis. This presentation reviews multivariate techniques used in HEP, discusses their strengths and challenges, and provides insight into techniques developed elsewhere and their possible usefulness for HEP.

Primary author

Helge Voss (Max-Planck-Gesellschaft (DE))

Presentation materials

Peer reviewing

Paper