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20142019
most citedThe Machine Learning Landscape of Top Taggers

240 citations · 349 across the 10 of their papers we have counts for

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hep-ph2019★ 240 cited

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…

hep-ph2018★ 12 cited

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…

hep-ph2017★ 3 cited

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…

hep-ph2017★ 19 cited

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…

hep-ph2017★ 33 cited

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…

hep-ph2016★ 17 cited

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…

hep-ph2016★ 16 cited

Identifying Phase Space Boundaries with Voronoi Tessellations

Dipsikha Debnath, James S. Gainer, Can Kilic +3

Determining the masses of new physics particles appearing in decay chains is an important and longstanding problem in high energy phenomenology. Recently it has been shown that the…

hep-ph2015★ 3 cited

Discovering New Physics with Voronoi Tessellations

Dipsikha Debnath, James S. Gainer, Doojin Kim +1

High energy experimental data can be viewed as a sampling of the relevant phase space. We point out that one can apply Voronoi tessellations in order to understand the underlying p…

hep-ph2015

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…

hep-ph2014★ 1 cited

Model-Independent Searches Using Matrix Element Ranking

Dipsikha Debnath, James S. Gainer, Konstantin T. Matchev

Thus far the LHC experiments have yet to discover beyond-the-standard-model physics. This motivates efforts to search for new physics in model independent ways. In this spirit, we…

hep-ph2014★ 5 cited

Discoveries far from the Lamppost with Matrix Elements and Ranking

Dipsikha Debnath, James S. Gainer, Konstantin T. Matchev

The prevalence of null results in searches for new physics at the LHC motivates the effort to make these searches as model-independent as possible. We describe procedures for adapt…