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S. D. Ellis, A. Hornig, T. S. Roy, D. Krohn, and M. D. Schwartz, Qjets: A Non-Deterministic Approach to Tree-Based Jet Substructure
Original
1914
Earlier work this paper cites.
M. Cacciari and G. P. Salam, Pileup subtraction using jet areas
Original
2008
Earlier work this paper cites.
M. Cacciari, G. P. Salam, and G. Soyez, The Catchment Area of Jets
Original
2008
Earlier work this paper cites.
J. M. Butterworth, A. R. Davison, M. Rubin, and G. P. Salam, Jet substructure as a new Higgs search channel at the LHC
Original
2008
Earlier work this paper cites.
T. Sjostrand, S. Mrenna, and P. Z. Skands, A Brief Introduction to PYTHIA 8.1
Original
2008
Earlier work this paper cites.
M. Cacciari, G. P. Salam, and G. Soyez, The Anti-k(t) jet clustering algorithm
Original
2008
Earlier work this paper cites.
S. D. Ellis, C. K. Vermilion, and J. R. Walsh, Techniques for improved heavy particle searches with jet substructure
Original
2009
Earlier work this paper cites.
S. D. Ellis, C. K. Vermilion, and J. R. Walsh, Recombination Algorithms and Jet Substructure: Pruning as a Tool for Heavy Particle Searches
Original
2010
Earlier work this paper cites.
D. Krohn, J. Thaler, and L.-T. Wang, Jet Trimming
Original
2010
Earlier work this paper cites.
CMS Collaboration, S. Chatrchyan et al., Determination of Jet Energy Calibration and Transverse Momentum Resolution in CMS
Original
2011
Earlier work this paper cites.
D. E. Soper and M. Spannowsky, Finding physics signals with shower deconstruction
Original
2011
Earlier work this paper cites.
R. Corke and T. Sjostrand, Interleaved Parton Showers and Tuning Prospects
Original
2011
Earlier work this paper cites.
A. Buckley, J. Butterworth, S. Gieseke, D. Grellscheid, S. Hoche, et al., General-purpose event generators for LHC physics
Original
2011
Earlier work this paper cites.

Similar

A. Abdesselam, E. B. Kuutmann, U. Bitenc, G. Brooijmans, J. Butterworth, et al., Boosted objects: A Probe of beyond the Standard Model physics
Original
2011
Cited alongside, same era.
M. Cacciari, G. P. Salam, and G. Soyez, FastJet User Manual
Original
2012
Cited alongside, same era.
A. Altheimer, S. Arora, L. Asquith, G. Brooijmans, J. Butterworth, et al., Jet Substructure at the Tevatron and LHC: New results, new tools, new benchmarks
Original
2012
Cited alongside, same era.
CMS Collaboration, S. Chatrchyan et al., Search for the standard model Higgs boson decaying to a W W pair in the fully leptonic final state in p p pp collisions at s = 7 \sqrt{s}=7 TeV
2012
Cited alongside, same era.
ATLAS Collaboration, G. Aad et al., Performance of jet substructure techniques for large- R R jets in proton-proton collisions at s \sqrt{s} = 7 TeV using the ATLAS detector

Then

D. E. Soper and M. Spannowsky, Finding top quarks with shower deconstruction
Original
2013
Later among the works it cites.
CDF Collaboration, D0 Collaboration, T. A. Aaltonen et al., Combination of CDF and D0 W W -Boson Mass Measurements
Original
2013
Later among the works it cites.
ATLAS Collaboration, Measurements of the properties of the Higgs-like boson in the W W ( ∗ ) → ℓ ν ℓ ν WW^{(\ast)}\to\ell\nu\ell\nu decay channel with the ATLAS detector using 25 fb -1
2013
Later among the works it cites.
Evidence for Higgs Boson Decays to the τ + τ − \tau^{+}\tau^{-} Final State with the ATLAS Detector
2013
Later among the works it cites.
D. Kahawala, D. Krohn, and M. D. Schwartz, Jet Sampling: Improving Event Reconstruction through Multiple Interpretations
Original

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2014

Pileup Per Particle Identification

Bertolini, Daniele, Harris, Philip, Low, Matthew et al.

Understand

We propose a new method for pileup mitigation by implementing "pileup per particle identification" (PUPPI).

For each particle we first define a local shape $\alpha$ which probes the collinear versus soft diffuse structure in the neighborhood of the particle.
The former is indicative of particles originating from the hard scatter and the latter of particles originating from pileup interactions.
The distribution of $\alpha$ for charged pileup, assumed as a proxy for all pileup, is used on an event-by-event basis to calculate a weight for each particle.