activity
19952023
most citedThe anti-k_t jet clustering algorithm

6.5k citations · 27.9k across the 137 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

hep-ph2013

QCD calculations for jet substructure

Mrinal Dasgupta, Simone Marzani, Gavin P. Salam

We present results on novel analytic calculations to describe invariant mass distributions of QCD jets with three substructure algorithms: trimming, pruning and the mass-drop tagge…

hep-ph2013★ 120 cited

Update of the Binoth Les Houches Accord for a standard interface between Monte Carlo tools and one-loop programs

S. Alioli, S. Badger, J. Bellm +44

We present an update of the Binoth Les Houches Accord (BLHA) to standardise the interface between Monte Carlo programs and codes providing one-loop matrix elements.

hep-ph2013★ 159 cited

Handbook of LHC Higgs Cross Sections: 3. Higgs Properties

The LHC Higgs Cross Section Working Group, S. Heinemeyer, C. Mariotti +155

This Report summarizes the results of the activities in 2012 and the first half of 2013 of the LHC Higgs Cross Section Working Group. The main goal of the working group was to pres…

hep-ph2013★ 490 cited

Towards an understanding of jet substructure

Mrinal Dasgupta, Alessandro Fregoso, Simone Marzani +1

We present first analytic, resummed calculations of the rates at which widespread jet substructure tools tag QCD jets. As well as considering trimming, pruning and the mass-drop ta…

hep-ph2013★ 414 cited

Energy Correlation Functions for Jet Substructure

Andrew J. Larkoski, Gavin P. Salam, Jesse Thaler

We show how generalized energy correlation functions can be used as a powerful probe of jet substructure. These correlation functions are based on the energies and pair-wise angles…

hep-ph2013★ 125 cited

Scale-invariant resonance tagging in multijet events and new physics in Higgs pair production

Maxime Gouzevitch, Alexandra Oliveira, Juan Rojo +3

We study resonant pair production of heavy particles in fully hadronic final states by means of jet substructure techniques. We propose a new resonance tagging strategy that smooth…