19 citations · 19 across the 1 of their papers we have counts for
4 papers
The Machine Learning Landscape of Top Taggers
G. Kasieczka, T. Plehn, A. Butter +24
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established metho…
Enhancing the discovery prospects for SUSY-like decays with a forgotten kinematic variable
Dipsikha Debnath, James S. Gainer, Can Kilic +3
The lack of a new physics signal thus far at the Large Hadron Collider motivates us to consider how to look for challenging final states, with large Standard Model backgrounds and…
Resolving Combinatorial Ambiguities in Dilepton Event Topologies with Constrained Variables
Dipsikha Debnath, Doojin Kim, Jeong Han Kim +2
We advocate the use of on-shell constrained variables in order to mitigate the combinatorial problem in SUSY-like events with two invisible particles at the LHC. We show that…
Edge Detecting New Physics the Voronoi Way
Dipsikha Debnath, James S. Gainer, Doojin Kim +1
We point out that interesting features in high energy physics data can be determined from properties of Voronoi tessellations of the relevant phase space. For illustration, we focu…