Systematic Analysis of High Energy Collider Data

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.