19 citations · 19 across the 2 of their papers we have counts for
6 papers
InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification
Konstantin T. Matchev, Prasanth Shyamsundar
We introduce a new machine-learning-based approach, which we call the Independent Classifier networks (InClass nets) technique, for the nonparameteric estimation of conditional ind…
Singularity Variables for Missing Energy Event Kinematics
Konstantin T. Matchev, Prasanth Shyamsundar
We discuss singularity variables which are properly suited for analyzing the kinematics of events with missing transverse energy at the LHC. We consider six of the simplest event t…
Kinematic Focus Point Method for Particle Mass Measurements in Missing Energy Events
Doojin Kim, Konstantin T. Matchev, Prasanth Shyamsundar
We investigate the solvability of the event kinematics in missing energy events at hadron colliders, as a function of the particle mass ansatz. To be specific, we reconstruct the n…
Portraying Double Higgs at the Large Hadron Collider
Jeong Han Kim, Minho Kim, Kyoungchul Kong +2
We examine the discovery potential for double Higgs production at the high luminosity LHC in the final state with two -tagged jets, two leptons and missing transverse momentum.…
Dreaming Awake: Disentangling the Underlying Physics in Case of a SUSY-like Discovery at the LHC
Konstantin T. Matchev, Filip Moortgat, Luc Pape
The purpose of this review is to investigate what kind of physics can be extracted at the LHC, assuming a discovery is made in events with missing transverse momentum, as generical…
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…