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20102025
most citedFast inference of deep neural networks in FPGAs for particle physics

438 citations · 3.8k across the 51 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

hep-ex2016★ 13 cited

Initial performance studies of a general-purpose detector for multi-TeV physics at a 100 TeV pp collider

S. V. Chekanov, M. Beydler, A. V. Kotwal +5

This paper describes simulations of detector response to multi-TeV physics at the Future Circular Collider (FCC-hh) or Super proton-proton Collider (SppC) which aim to collide prot…

hep-ex2016

Study Of Boosted W-Jets And Higgs-Jets With the SiFCC Detector

Shin-Shan Yu, Sergei Chekanov, Lindsey Gray +3

We study the detector performance in the reconstruction of hadronically-decaying W bosons and Higgs bosons at very high energy proton colliders using a full GEANT4 simulation of th…

hep-ph2016★ 135 cited

Dark Sectors 2016 Workshop: Community Report

Jim Alexander, Marco Battaglieri, Bertrand Echenard +201

This report, based on the Dark Sectors workshop at SLAC in April 2016, summarizes the scientific importance of searches for dark sector dark matter and forces at masses beneath the…

hep-ph2016★ 13 cited

Dissecting Jets and Missing Energy Searches Using -body Extended Simplified Models

Timothy Cohen, Matthew J. Dolan, Sonia El Hedri +3

Simplified Models are a useful way to characterize new physics scenarios for the LHC. Particle decays are often represented using non-renormalizable operators that involve the mini…

hep-ph2016★ 92 cited

Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure

James Dolen, Philip Harris, Simone Marzani +2

We explore the scale-dependence and correlations of jet substructure observables to improve upon existing techniques in the identification of highly Lorentz-boosted objects. Modifi…