Systematic Analysis of High Energy Collider Data
arXiv:hep-ex/0402029 · doi:10.1016/j.nima.2004.07.050
Abstract
These proceedings outline steps toward a systematic analysis of frontier energy collider data: specifically, those data collected at Tevatron Runs I and II, LEP Run II, HERA Runs I and II, and the future LHC. Algorithms designed to understand the gross features of the data (Vista), to systematically and model-independently search for new physics at the electroweak scale (Sleuth), to automate tests of specific hypotheses against those data (Quaero), to turn an existing full detector simulation into a fast simulation (TurboSim), and to infer the physics underlying any hint observed in the data (Bard) are reviewed. A somewhat non-conventional viewpoint is adopted throughout.
Invited plenary talk at ACAT 2003, KEK; 8 pages
References in corpus (7)
- MadEvent: Automatic Event Generation with MadGraph
- Search for New Physics Using Quaero: A General Interface to D0 Event Data
- Systematic Analysis of High Energy Collider Data
- Outlook: The Next Twenty Years
- Quaero: Motivation, Summary, Status
- Systematic Analysis of HEP Collider Data
- Sleuth: A Quasi-Model-Independent Search Strategy for New Physics
Cited by in corpus (6)
- Anomaly Detection for Resonant New Physics with Machine Learning
- Extending the Bump Hunt with Machine Learning
- Systematic Analysis of High Energy Collider Data
- Finding Wombling Boundaries in LHC Data with Voronoi and Delaunay Tessellations
- Quaero@H1: An Interface to High-pT HERA Event Data
- Systematic Analysis of Frontier Energy Collider Data