Augmenting Collider Searches and Enhancing Discovery Potentials through Stochastic Jet Grooming
Tuhin S. Roy, Arun M. Thalapillil

TL;DR
This paper combines stochastic jet grooming with jet trimming to improve event reconstruction and discovery potential in hadron collider experiments, especially for identifying diboson resonances.
Contribution
It introduces a novel combination of jet trimming and Qjets stochastic methods, demonstrating significant enhancements in signal significance and discovery potential.
Findings
Enhanced significance in diboson resonance analysis
Improved robustness and volatility observables for tagging
Potential for marked improvements at LHC and future colliders
Abstract
The jet Trimming procedure has been demonstrated to greatly improve event reconstruction in hadron collisions, by mitigating contamination due initial state radiation, multiple interactions, and event pileup. Meanwhile, Qjets -- a nondeterministic approach to tree-based jet substructure has been shown to be a powerful technique in decreasing random statistical fluctuations, yielding significant effective luminosity improvements. This manifests through an improvement in the significance , relative to conventional methods. Qjets also provide novel observables in many cases, like mass-volatility, that could be used to further discriminate between signal and background events. The statistical robustness and volatility observables, for tagging, are obtained simultaneously. We explore here a combination of the two techniques, and demonstrate that significant enhancements in…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
