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20142023
most citedFast inference of deep neural networks in FPGAs for particle physics

438 citations · 3.2k across the 52 of their papers we have counts for

collaborators
Showing 2018Show all

7 papers · 1 filter

hep-ex2018★ 26 cited

Search for nonresonant Higgs boson pair production in the final state at 13 TeV

CMS Collaboration

Results of a search for nonresonant production of Higgs boson pairs, with each Higgs boson decaying to a pair are presented. This search uses data from pro…

hep-ex2018★ 9 cited

Search for pair-produced three-jet resonances in proton-proton collisions at 13 TeV

CMS Collaboration

A search has been performed for pair-produced resonances decaying into three jets. The proton-proton collision data used for this analysis were collected with the CMS detector in 2…

hep-ph2018

Novel tools and observables for jet physics in heavy-ion collisions

Harry Arthur Andrews, Liliana Apolinario, Redmer Alexander Bertens +25

Studies of fully-reconstructed jets in heavy-ion collisions aim at extracting thermodynamical and transport properties of hot and dense QCD matter. Recently, a plethora of new jet…

hep-ph2018★ 73 cited

Machine Learning Uncertainties with Adversarial Neural Networks

Christoph Englert, Peter Galler, Philip Harris +1

Machine Learning is a powerful tool to reveal and exploit correlations in a multi-dimensional parameter space. Making predictions from such correlations is a highly non-trivial tas…

hep-ex2018★ 2 cited

Prospects for a measurement of the boson mass in the all-jets final state at hadron colliders

Marat Freytsis, Philip Harris, Andreas Hinzmann +3

Precise measurements of the mass of the boson are important to test the overall consistency of the Standard Model of particle physics. The current best measurements of the …

physics.ins-det2018★ 438 cited

Fast inference of deep neural networks in FPGAs for particle physics

Javier Duarte, Song Han, Philip Harris +8

Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time event processing techniques. Machine learni…

hep-ex2018★ 304 cited

Jet Substructure at the Large Hadron Collider: Experimental Review

Roman Kogler, Benjamin Nachman, Alexander Schmidt +13

Jet substructure has emerged to play a central role at the Large Hadron Collider, where it has provided numerous innovative ways to search for new physics and to probe the Standard…