Digging deeper for new physics in the LHC data

Abstract In this paper, we describe a novel, model-independent technique of “rectangular aggregations” for mining the LHC data for hints of new physics. A typical (CMS) search now has hundreds of signal regions, which can obscure potentially interesting anomalies. Applying our technique to the two C...

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Bibliographic Details
Main Authors: Pouya Asadi, Matthew R. Buckley, Anthony DiFranzo, Angelo Monteux, David Shih
Format: Article
Language:English
Published: SpringerOpen 2017-11-01
Series:Journal of High Energy Physics
Subjects:
Online Access:http://link.springer.com/article/10.1007/JHEP11(2017)194