"That is positively the dopiest idea I have heard." -Richard Feynman, when he signed on to work on the Connection Machine, at the Thinking Machines Corporation, in the summer of 1983.
Key WordsMultivariate methods, optimal analysis, neural networks, Bayesian inference, Tevatron, Large Hadron Collider (LHC)
AbstractEach generation of high energy physics experiments is grander in scale than the previousmore powerful, more complex and more demanding in terms of data handling and analysis.The spectacular performance of the Tevatron and the beginning of operations of the Large Hadron Collider have placed us at the threshold of a new era in particle physics. The discovery of the Higgs boson or another agent of electroweak symmetry breaking and evidence of new physics may be just around the corner. The greatest challenge in these pursuits is to extract the extremely rare signals, if any, from huge backgrounds that arise from known physics processes. The use of advanced analysis techniques is crucial in achieving this goal. In this review, I discuss the concepts of optimal analysis, some important advanced analysis methods and a few examples. The judicious use of these advanced methods should enable new discoveries and produce results with better precision, robustness and clarity.