PYTHIA 6.4 physics and manual

Sjöstrand, Torbjörn; Mrenna, S.; Skands, Peter

doi:10.1088/1126-6708/2006/05/026

Cited by 9,666 publications

(10,351 citation statements)

References 423 publications

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“…To extend the PHSD model to higher energies than √ s N N = 200 GeV at RHIC the PYTHIA 6.4 generator [55] has been additionally implemented for initial nucleon collisions at LHC energies [41]. For the subsequent (lower energy) collisions the standard PHSD model [21] is applied (including PYTHIA v5.5 with JETSET v7.3 for the production and fragmentation of jets [56], i.e.…”

Section: Extensions @ Lhcmentioning

confidence: 99%

Impact of the initial size of spatial fluctuations on the collective flow in Pb–Pb collisions at $\sqrt{{{s}_{{\rm NN}}}}$ = 2.76 TeV

Konchakovski¹,

Cassing²,

Тонеев³

2015

J. Phys. G: Nucl. Part. Phys.

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Abstract. The Parton-Hadron-String-Dynamics (PHSD) transport model is used to study the influence of the initial size of spatial fluctuations of the interacting system on flow observables in Pb-Pb collisions at √ s N N = 2.76 TeV for different centralities. While the flow coefficients v 2 , v 3 , v 4 and v 5 are reasonably described in comparison to the data from the ALICE Collaboration for different centralities within the default setting, no essential sensitivity is found with respect to the initial size of spatial fluctuations even for very central collisions where the flow coefficients are dominated by the size of initial state fluctuations. We attribute this lack of sensitivity partly to the low interaction rate of the degrees-of-freedom in this very early phase of order ∼ 0.3 fm/c which is also in common with the weakly interacting color glass condensate (CGC) or glasma approach. Moreover, since the event shape in the transverse plane is approximately the same for different size of spatial fluctuations very similar eccentricities ǫ n are transformed to roughly the same flow coefficients v n in momentum space.PACS numbers: 24.85.+p, 12.38.Mh

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Section: Extensions @ Lhcmentioning

confidence: 99%

Impact of the initial size of spatial fluctuations on the collective flow in Pb–Pb collisions at $\sqrt{{{s}_{{\rm NN}}}}$ = 2.76 TeV

Konchakovski¹,

Cassing²,

Тонеев³

2015

J. Phys. G: Nucl. Part. Phys.

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“…In NuWro DIS is realized by the Lund string fragmentation algorithm implementation from PYTHIA 6 [33], which has been tuned by J. Nowak [34] in order to fit the charged pion multiplicities from available data.…”

Section: Dis Process In Nuwromentioning

confidence: 99%

Pion Production in Wroclaw Neutrino Event Generator and its Comparison with Other Generators

Żmuda

2016

Proceedings of the 10th International Workshop on Neutrino-Nucleus Interactions in Few-GeV Region (NuInt15)

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“…We will leave these for future studies. Our signal and background events were generated at the parton level using Madgraph 5 [15] and then showered with Pythia 6.4 [16] for the 8 TeV LHC. We impose the / E T > 120 GeV cut at the Madgraph level and the following cuts in the analysis to define the signal window: • 110 GeV < m jj < 140 GeV…”

Section: Figmentioning

confidence: 99%

Telescoping jets: Probing hadronic event structure with multipleR’s

Chien

2014

Phys. Rev. D

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Jets at high energy colliders are complicated objects to identify. Even if jets are widely separated, there is no reason for jets to have the same size. A single reconstruction, or interpretation, of each event can only extract a limited amount of information. Motivated by the recently proposed Qjet algorithms, which give multiple interpretations for each event using nondeterministic jet clustering, we propose a simple, fast and powerful method to give multiple event interpretations by varying the parameter R in the jet definition. With multiple interpretations we can redefine the weight of each event in a counting experiment to be the fraction of interpretations passing the experimental cuts, instead of 0 or 1 in a conventional analysis. We show that the statistical power of an analysis can be dramatically increased. In particular, we can have a 46% improvement in the statistical significance for the Higgs search with an associated Z boson (ZH → ννbb) at the 8 TeV LHC.Jets are manifestations of the underlying colored partons in hard scattering processes. In order to reconstruct hard processes and uncover physics at high energy, jets are key objects to identify in high energy collider experiments. The conventional way to identify jets is to use clustering algorithms [1][2][3][4][5], where a parameter R sets an artificial jet size. The constituents of each reconstructed jet are those particles within an angular scale R away from the jet direction. This is particularly true for the anti-k T algorithm because it gives almost perfect cone jets in the calorimeter pseudorapidity-azimuthal angle (η-φ) plane. On the other hand, a jet is a distinct structure in its own right with many collinear particles. The width of the localized energy distribution of the jet in the η-φ plane is an independent quantity and should be distinguished from the parameter R (FIG. 1).Because the formation of jets is quantum mechanical and probabilistic, the widths of jets are always different (FIG. 2). To reconstruct partonic kinematics we should pick a large enough R so that most of the radiation emitted by the partons is enclosed. However, with a large R more radiation contamination will be included. We can R is an artificial distance scale introduced to define the calorimeter region we want to look at. The jet axis points in the direction of the dominant energy flow, and the precise direction is not essential here.

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PYTHIA 6.4 physics and manual

Cited by 9,666 publications

References 423 publications

Impact of the initial size of spatial fluctuations on the collective flow in Pb–Pb collisions at $\sqrt{{{s}_{{\rm NN}}}}$ = 2.76 TeV

Impact of the initial size of spatial fluctuations on the collective flow in Pb–Pb collisions at $\sqrt{{{s}_{{\rm NN}}}}$ = 2.76 TeV

Pion Production in Wroclaw Neutrino Event Generator and its Comparison with Other Generators

Telescoping jets: Probing hadronic event structure with multipleR’s

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