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Optimal jet radius in kinematic dijet reconstruction
High Energy Physics - Phenomenology · Submitted 18 Jun 2010
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim In this paper, we compute analytically the optimal jet radius for dijet reconstructions and study its scale dependence.
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The abstract, sentence by sentence
Obtaining a good momentum reconstruction of a jet is a compromise between taking it large enough to catch the perturbative final-state radiation and small enough to avoid too much contamination from the underlying event and initial-state radiation. In this paper, we compute analytically the optimal jet radius for dijet reconstructions and study its scale dependence. We also compare our results with previous Monte-Carlo studies.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Obtaining a good momentum reconstruction of a jet is a compromise between taking it large enough to catch the perturbative final-state radiation and small enough to avoid too much contamination from the underlying event and initial-state radiation. | background 1.00 | 0.05 | 0.04 | asserted 1.00 |
| s1 | In this paper, we compute analytically the optimal jet radius for dijet reconstructions and study its scale dependence. | contribution 0.99 | 0.97 | 0.17 | asserted 0.98 |
| s2 | We also compare our results with previous Monte-Carlo studies. | contribution 0.64 | 0.84 | 0.03 | asserted 0.74 |
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The paper
Original abstract
Obtaining a good momentum reconstruction of a jet is a compromise between taking it large enough to catch the perturbative final-state radiation and small enough to avoid too much contamination from the underlying event and initial-state radiation. In this paper, we compute analytically the optimal jet radius for dijet reconstructions and study its scale dependence. We also compare our results with previous Monte-Carlo studies.
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How the literature uses it
6 arXiv papers cite this in 7 sentences
Papers citing it · 6 sentences without a confident label
Builds on it 1 paper
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The study has been extended to the LHC in Refs. [ref] where the criterion for optimizing the jet radius is to obtain the best mass resolution for new massive hadronically decaying resonances.
Jet Radiation Radius · Introduction · 0.84
What it cites · 30 sentences without a confident label
Builds on 1 paper
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Our approach thus goes along the same line as [ref] , except that we shall extend the discussion to include extra features requested by the fact that we are looking at a peaked distribution and wish to obtain a more precise determination of $R$.
Non-perturbative QCD effects in jets at hadron colliders · Introduction · 1.00
Uses the method or tool of 8 papers
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The quantification of the performance of a given jet definition is also borrowed from [ref] : we define $z$ as the width of the smallest mass window that contains a fraction $f=z$ of the reconstructed objects[In [ref] , z was defined as a fraction of the generated objects rather than a fraction of the reconstructed ones.
Quantifying the performance of jet definitions for kinematic reconstruction at the LHC · Dijet decay of a massive object · 0.93
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The properties of the background are computed directly from the Monte-Carlo event sample using FastJet [ref] and the method advocated in [ref] and [ref] : each event is first clustered with the Cambridge/Aachen algorithm with $R=0.6$; $ρ$ and $σ$ are then estimated from the jets that are within a rapidity strip of 1 unit around the hardest dijet system, excluding the two hardest jets in the event.
Pileup subtraction using jet areas · Computation and comparison with Monte Carlo · 1.00
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The properties of the background are computed directly from the Monte-Carlo event sample using FastJet [ref] and the method advocated in [ref] and [ref] : each event is first clustered with the Cambridge/Aachen algorithm with $R=0.6$; $ρ$ and $σ$ are then estimated from the jets that are within a rapidity strip of 1 unit around the hardest dijet system, excluding the two hardest jets in the event.
Dispelling the N^3 myth for the Kt jet-finder · Computation and comparison with Monte Carlo · 1.00
Uses data or values from 1 paper
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The area properties $a̅$ and $σ_a$ have been calculated, together with their scaling violations in [ref] .
The Catchment Area of Jets · Computation and comparison with Monte Carlo · 0.81
Compares with 3 papers
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In both cases, we shall compare our results with what we obtain from Monte-Carlo studies, as in [ref] .
Quantifying the performance of jet definitions for kinematic reconstruction at the LHC · Introduction · 0.99
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We see that the simpler approach of [ref] manages to extract the correct value for at small mass but fails to reproduce the observed behaviour at larger mass, and this for both quark and gluon jets.
Non-perturbative QCD effects in jets at hadron colliders · Comparison with earlier approaches · 0.86
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Finally, let us mention that the case of the $k_t$ algorithm [ref] is also very close to what we obtain for the anti-$k_t$ and C/A algorithm, hence well reproduced by our calculation.
Successive Combination Jet Algorithm For Hadron Collisions · Computation for other algorithms · 0.96
Cites as background 15 papers
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In principle, this would depend on the jet algorithm under consideration and an exact computation would involve non-global logarithms [ref] .
Non-global logarithms and jet algorithms in high-pT jet shapes · Soft-gluon emission approximation · 0.86
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In principle, this would depend on the jet algorithm under consideration and an exact computation would involve non-global logarithms [ref] .
Resummation of non-global QCD observables · Soft-gluon emission approximation · 0.86
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In principle, this would depend on the jet algorithm under consideration and an exact computation would involve non-global logarithms [ref] .
Non-Global Logarithms in Filtered Jet Algorithms · Soft-gluon emission approximation · 0.86
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