TL;DR
This paper introduces a new model-independent method called 'rectangular aggregations' to analyze LHC data, revealing previously overlooked potential signals of new physics, including correlated excesses in jets+MET searches.
Contribution
The paper presents a novel technique for mining LHC data that uncovers subtle anomalies and potential new physics signals overlooked by traditional methods.
Findings
Identified ~3σ excesses in CMS jets+MET SUSY searches.
Two excesses are compatible and suggest a resonant color-triplet production.
Correlated excesses are observed in both CMS and ATLAS 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 CMS jets+MET SUSY searches, we identify a set of previously overlooked excesses. Among these, four excesses survive tests of inter- and intra-search compatibility, and two are especially interesting: they are largely overlapping between the jets+MET searches and are characterized by low jet multiplicity, zero -jets, and low MET and . We find that resonant color-triplet production decaying to a quark plus an invisible particle provides an excellent fit to these two excesses and all other data -- including the ATLAS jets+MET search, which actually sees a correlated excess. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
