Using neural networks to identify jets

Lönnblad, Leif; Peterson, Carsten; Rögnvaldsson, Thorsteinn

doi:10.1016/0550-3213(91)90392-b

Cited by 101 publications

(59 citation statements)

References 20 publications

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“…(3.8) is easier to interpret, since it tracks the fractional difference between the signal and background at a given value of λ. 6 Specifically, by plotting…”

Section: Jhep07(2017)091mentioning

confidence: 99%

“…This is relevant for searches for physics beyond the standard model, where signals of interest are often dominated by quarks while the corresponding backgrounds are dominated by gluons. A wide variety of quark/gluon discriminants have been proposed [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], and there is a growing catalog of quark/gluon studies at the Large Hadron Collider (LHC) [20][21][22][23][24][25]. In order to achieve robust quark/gluon tagging, though, one needs theoretical and experimental control over quark/gluon radiation patterns.…”

Section: Overviewmentioning

confidence: 99%

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Systematics of quark/gluon tagging

Gras

Höche

Kar

et al. 2017

J. High Energ. Phys.

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128

164

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By measuring the substructure of a jet, one can assign it a "quark" or "gluon" tag. In the eikonal (double-logarithmic) limit, quark/gluon discrimination is determined solely by the color factor of the initiating parton (C F versus C A ). In this paper, we confront the challenges faced when going beyond this leading-order understanding, using both parton-shower generators and first-principles calculations to assess the impact of higher-order perturbative and nonperturbative physics. Working in the idealized context of electron-positron collisions, where one can define a proxy for quark and gluon jets based on the Lorentz structure of the production vertex, we find a fascinating interplay between perturbative shower effects and nonperturbative hadronization effects. Turning to protonproton collisions, we highlight a core set of measurements that would constrain current uncertainties in quark/gluon tagging and improve the overall modeling of jets at the Large Hadron Collider.

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“…(3.8) is easier to interpret, since it tracks the fractional difference between the signal and background at a given value of λ. 6 Specifically, by plotting…”

Section: Jhep07(2017)091mentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Systematics of quark/gluon tagging

Gras

Höche

Kar

et al. 2017

J. High Energ. Phys.

Self Cite

128

164

View full text Add to dashboard Cite

show abstract

“…After the numerical solutions of the DLA and MLLA evolution equations for single jets, we finally apply an MC event generator (ARIADNE [32]) at the parton level based on the same procedures as the above evolution equations: perturbative QCD evolution with the coupling α s (k T ) terminated by a transverse momentum, k T , cut-off and arbitrary parameters Λ and Q 0 > Λ. The MC involves the coupled evolution of quarks and gluons in the cascade, the inclusion of large angle radiation, the full first-order matrix element for e + e − → qqg, and exact energy-momentum conservation.…”

Section: Monte Carlo Simulation Of Parton Cascadementioning

confidence: 99%

“…A similar theoretical scheme is realized in a parton level MC (ARIADNE [32]) which is based on sequential parton radiation from colour dipoles [33,34] with a k T cut-off. We have readjusted the parameters Λ and Q 0 in this MC to describe hadronic final states without an additional hadronization phase, assuming again a duality between hadron and parton final states at scale Q 0 .…”

Section: Introductionmentioning

confidence: 99%

QCD explanation of oscillating hadron and jet multiplicity moments

Buican¹,

Forster²,

Ochs³

2003

Eur. Phys. J. C

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Ratios of multiplicity moments, H q (cumulant over factorial moments K q /F q ), have been observed to show an oscillatory behaviour with respect to order, q. Recent studies of e + e − annihilations at LEP have shown, moreover, that the amplitude and oscillation length vary strongly with the jet resolution parameter y cut . We study the predictions of the perturbative QCD parton cascade assuming low nonperturbative cut-off (Q 0 ∼ Λ QCD ∼ few 100 MeV) and derive the expectations as a function of the cms energy and jet resolution from threshold to very high energies. We consider numerical solutions of the evolution equations of gluodynamics in Double Logarithmic and Modified Leading Logarithmic Approximations (DLA, MLLA), as well as results from a parton MC with readjusted parameters. The main characteristics are obtained in MLLA, while a more numerically accurate description is obtained by the MC model. A unified description of correlations between hadrons and correlations between jets emerges, in particular for the transition region of small y cut .

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“…We employ the most common architecture used for high energy applications (see, e.g. [10]), i.e. the feed-forward neural network; in our case it comprises one input layer with n = 10 neurons x j , one layer with 2n + 1 hidden neurons z j and one output unit y.…”

Section: Physical Observables and The Neural Networkmentioning

confidence: 99%