activity
20132026
most citedSearch for supersymmetry in hadronic final states with missing transverse energy using the variables AlphaT and b-quark multiplicity in pp collisions at 8 TeV

177 citations · 1.3k across the 60 of their papers we have counts for

collaborators
Showing 2019Show all

19 papers · 1 filter

hep-ex2019★ 68 cited

Search for direct top squark pair production in events with one lepton, jets, and missing transverse momentum at 13 TeV with the CMS experiment

CMS Collaboration

A search for direct top squark pair production is presented. The search is based on proton-proton collision data at a center-of-mass energy of 13 TeV recorded by the CMS experiment…

hep-ex2019★ 11 cited

Measurement of the top quark pair production cross section in dilepton final states containing one lepton in pp collisions at 13 TeV

CMS Collaboration

The cross section of top quark pair production is measured in the final state, where ref…

hep-ex2019★ 1 cited

End-to-end particle and event identification at the Large Hadron Collider with CMS Open Data

John Alison, Sitong An, Michael Andrews +8

From particle identification to the discovery of the Higgs boson, deep learning algorithms have become an increasingly important tool for data analysis at the Large Hadron Collider…

hep-ex2019★ 34 cited

Search for a heavy pseudoscalar Higgs boson decaying into a 125 GeV Higgs boson and a Z boson in final states with two tau and two light leptons at 13 TeV

CMS Collaboration

A search is performed for a pseudoscalar Higgs boson, A, decaying into a 125 GeV Higgs boson h and a Z boson. The h boson is specifically targeted in its decay into a pair of tau l…

hep-ex2019★ 23 cited

Bose-Einstein correlations of charged hadrons in proton-proton collisions at 13 TeV

CMS Collaboration

Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton coll…

astro-ph.CO2019★ 41 cited

Deep Learning the Morphology of Dark Matter Substructure

Stephon Alexander, Sergei Gleyzer, Evan McDonough +2

Strong gravitational lensing is a promising probe of the substructure of dark matter halos. Deep learning methods have the potential to accurately identify images containing substr…