240 citations · 349 across the 10 of their papers we have counts for
11 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…
Measuring the mass, width, and couplings of semi-invisible resonances with the Matrix Element Method
Amalia Betancur, Dipsikha Debnath, James S. Gainer +2
We demonstrate the use of the Matrix Element Method (MEM) for the measurement of masses, widths, and couplings in the case of single or pair production of semi-invisibly decaying r…
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…
LHC Collider Phenomenology of Minimal Universal Extra Dimensions
Jyotiranjan Beuria, AseshKrishna Datta, Dipsikha Debnath +1
We discuss the collider phenomenology of the model of Minimal Universal Extra Dimensions (MUED) at the Large hadron Collider (LHC). We derive analytical results for all relevant st…
Detecting kinematic boundary surfaces in phase space: particle mass measurements in SUSY-like events
Dipsikha Debnath, James S. Gainer, Can Kilic +3
We critically examine the classic endpoint method for particle mass determination, focusing on difficult corners of parameter space, where some of the measurements are not independ…