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Theoretical physicists working at a blackboard collaboration pod in the Beecroft building.
Credit: Jack Hobhouse

Prof. Gavin Salam FRS

Royal Society Research Professor, Professor of Theoretical Physics and Senior Research Fellow at All Souls College

Research theme

  • Fundamental particles and interactions

Sub department

  • Rudolf Peierls Centre for Theoretical Physics

Research groups

  • Particle theory
gavin.salam@physics.ox.ac.uk
Telephone: 01865 273976
Rudolf Peierls Centre for Theoretical Physics, room 70.25
  • About
  • Research
  • Prizes, awards and recognition
  • Publications

Fully differential VBF Higgs production at NNLO

(2015)

Authors:

Matteo Cacciari, Frédéric A Dreyer, Alexander Karlberg, Gavin P Salam, Giulia Zanderighi
More details from the publisher

Resonance searches with an updated top tagger

Journal of High Energy Physics Springer Nature 2015:6 (2015) 203

Authors:

Gregor Kasieczka, Tilman Plehn, Torben Schell, Thomas Strebler, Gavin P Salam
More details from the publisher
Details from ArXiV

Small-radius jets to all orders in QCD

Journal of High Energy Physics Springer Nature 2015:4 (2015) 39

Authors:

Mrinal Dasgupta, Frédéric Dreyer, Gavin P Salam, Gregory Soyez
More details from the publisher
Details from ArXiV

Resonance Searches with an Updated Top Tagger

(2015)

Authors:

Gregor Kasieczka, Tilman Plehn, Torben Schell, Thomas Strebler, Gavin P Salam
More details from the publisher

SoftKiller, a particle-level pileup removal method.

The European physical journal. C, Particles and fields 75:2 (2015) 59

Authors:

Matteo Cacciari, Gavin P Salam, Gregory Soyez

Abstract:

Existing widely used pileup removal approaches correct the momenta of individual jets. In this article we introduce an event-level, particle-based pileup correction procedure, SoftKiller. It removes the softest particles in an event, up to a transverse momentum threshold that is determined dynamically on an event-by-event basis. In simulations, this simple procedure appears to be reasonably robust and brings superior jet resolution performance compared to existing jet-based approaches. It is also nearly two orders of magnitude faster than methods based on jet areas.
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