Model-Independent Searches Using Matrix Element Ranking

2014/08/27 by Dipsikha Debnath, Debnath, Dipsikha, James S. Gainer +4
Computer Science · Physics and Astronomy · #Advanced Database Systems and Queries #Data Management and Algorithms #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Optimization and Search Problems #hep-ex #hep-ph

paper · pdf · doi:10.48550/arxiv.1408.6572

6 pages, 5 figures. Proceedings of the Second Annual Conference on Large Hadron Collider Physics (LHCP 2014), Columbia University, New York, June 2-7, 2014

arxiv created 2014/08/27 · openalex publication_date 2014/08/27 · arxiv updated 2014/08/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Thus far the LHC experiments have yet to discover beyond-the-standard-model physics. This motivates efforts to search for new physics in model independent ways. In this spirit, we describe procedures for using a variant of the Matrix Element Method to search for new physics without regard to a specific signal hypothesis. To make the resulting variables more intuitive, we also describe how these variables can be "flattened", which makes the resulting distributions more visually meaningful.

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