J/ ψ measurements in Au+Au and p+p Collisions at 200 GeV

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Johan Gonzalez - Strange Quark Matter 2006, UCLA - March 2006 1 J/ψ measurements in Au+Au and p+p Collisions at 200 GeV Motivation J/ψ in Au+Au J/ψ in p+p Conclusions Outline Johan Gonzalez for the STAR Collaboration

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J/ ψ measurements in Au+Au and p+p Collisions at 200 GeV. Johan Gonzalez for the STAR Collaboration. Motivation J/ ψ in Au+Au J/ ψ in p+p Conclusions. Outline. Motivation. J/ Ψ. - PowerPoint PPT Presentation

Transcript of J/ ψ measurements in Au+Au and p+p Collisions at 200 GeV

Page 1: J/ ψ  measurements in   Au+Au and p+p Collisions at 200 GeV

Johan Gonzalez - Strange Quark Matter 2006, UCLA - March 2006 1

J/ψ measurements in Au+Au and p+p Collisions at 200 GeV

• Motivation• J/ψ in Au+Au • J/ψ in p+p• Conclusions

Outline

Johan Gonzalezfor the STAR Collaboration

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Motivation• Charm quarks are primarily produced in the initial

stages of the collision via hard scatterings Can be used to probe the initial conditions of the hot, dense matter produced

• Screening and scattering mechanisms predicted[1] to destroy the J/ψ in the Quark-Gluon Plasma

– This leads to a suppression of J/ψ production, which would imply deconfinement

• On the other hand, regeneration models[2,3,4] predict an enhanced production of hidden charm states for sufficiently high charm densities

– This would imply thermalization of charm quarks, and by extension, the light quarks that comprise the QGP

• Scrutiny of the centrality dependence and transverse momentum systematics of charmonium production can help distinguish between the two scenarios

Color Screening

cc

J/Ψ

regeneration[1] T. Matsui and H. Satz, Phys. Lett. B 178 (1986) 416.[2] Grandchamp, Rapp, Brown hep-ph/0403204

[3] Thews, Schroedter, Rafelski, Phys. Rev. C 63, 054905[4] P.B.M., Andronic, hep-ph/0402291

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Motivation

• Suppression mechanisms§, such as Debye screening or gluon scatterings, destroy the J/ψ. Magnitude of suppression depends on collision energy and centrality

• Regeneration mechanisms, such as Statistical Hadronization, are expected to contribute in conditions of high parton densities

• The two scenarios are not mutually exclusive – regeneration mechanisms may be at play even in the case where only a suppression is observed

An illustration of the competition of regeneration and suppression mechanisms

suppression

regeneration

L. Grandchamp and R. Rapp, Phys. Lett. B523 60 (2001)

§ These exclude “normal” suppression mechanisms, such as collisions with co-movers

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The STAR Detector

• For the Au+Au analysis in run 4, we only used the TPC

• For the p+p analysis, we used the TPC in conjunction with the BEMC.

Schematic side view of the STAR detector

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J/ψe+e- in Au+Au @ 200GeV

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Data & Analysis Cuts

• Dataset– Run IV Au+Au collisions– Trigger selection: Minbias

• Analysis Cuts– |vertexZ|<30cm– |η| < 1.0– p > 500 MeV/c– Selected electron band,

skipped hadron bands– Scanned 20M minbias events12M 0-80%

events after cuts

p (GeV/c)

dE

/dx

selected tracks

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Dielectron Invariant Mass Spectra

• The dielectron invariant mass spectra are generated using the event mixing technique

• Subtracted spectrum shows a peak of 3.5 sigma significance in the vicinity of the J/ψ mass

Subtracted spectrum

0-80% 12M events

STAR Preliminary

Zoom

Same event

Mixed event

STAR Preliminary

J/ψe+e- (BR = 5.93%)

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Dielectron Invariant Mass Spectra

• The invariant mass spectra in the 0-20, 20-40, 40-80, and 0-80% centrality classes are shown

• Number of J/ψ in each centrality class is determined by bin counting

• Gaussian fits (widths are held fixed to the value seen in minbias events) are used to estimate systematics

• Signal in the 0-20% bin is rather weak, so only an upper limit is quoted

STAR Preliminary

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STAR Preliminary

0-80%

Centrality Dependence of Scaled J/ψ yields

• The Nbin-scaled yields are plotted vs number of participants

• Bars indicate statistical uncertainties and the bands indicate the systematic uncertainties

• An upper limit is quoted for the most central bin

Binary Scaling (black line and grey band) Determined from PHENIX data (nucl-ex/0507032)

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Centrality Dependence of Scaled J/ψ yields

Statistical Hadronization Synopsis:Complete screening of primordial J/ψ’sJ/ψ’s regenerated at chemical freezout from thermalized c-cbars

[1] A. Andronic et al., Phys.Lett. B571 (2003) 36-44

[3] STAR, Phys. Rev. Lett. 94 (2005) 062301

pQCD x-section from:Cacciari, Nason, Vogt, PRL 95 (2005) 122001

[2] PHENIX, Phys.Rev.Lett. 96 (2006) 032001

• Statistical Hadronization[1] calculations are shown for various values of the differential c-cbar cross section

• The model appears to overpredict the scaled J/ψ yields for most values of the c-cbar cross section

• However, it should be noted that the uncertainties in the measured[2,3] c-cbar cross sections are rather large at this time.

STAR Preliminary

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J/ψe+e- in p+p @ 200GeV

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Data & Analysis Cuts

• Dataset– Run V p+p collisions– Trigger selection: J/ψ

• Level-0 portion require 2 BEMC hits above 1.2 GeV with Δφ> 60o

• Level-2 portion acts as a photon veto and also makes an online invariant mass cut of 2<m<15 GeV (m2~2*E1*E2*(1-cos(θ)))

– Scanned 1.6M events

• Analysis Cuts– |vertexZ|<100cm– TPC tracks were required to

match with BEMC towers– 0.15 < p/Etower < 2.0– 3.2 < dE/dx < 5.0 keV/cm

A typical triggered event

Track selection

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Dielectron Invariant Mass Spectrum

• The (raw) background subtracted dielectron invariant mass spectrum is shown

• A signal of 5 sigma significance is clearly visible

• The trigger has been successfully commissioned and is currently running as we speak

STAR Preliminary

J/ψe+e- in p+p @ 200 GeV

More statistics are expected from Run 6

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Summary & Conclusions• We have investigated the production of J/ψe+e- in

Au+Au and p+p collisions at 200 GeV

• Taking the STAR measured c-cbar cross section, our Au+Au results rule out a model of J/ψ production via Statistical Hadronization

• A J/ψ trigger in p+p collisions was successfully tested and is now being implemented in this year’s run

• With the future inclusion of the Barrel Time of Flight detector, electron identification—and by extension J/ψ reconstruction—will be substantially augmented in STAR

• In future endeavors, we will carry out a detailed analysis of the centrality and transverse momentum dependence of J/ψ in order to fully disentangle regeneration and suppression scenarios

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Extra slides

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Efficiency Corrections (1/3)

• Embedded simulated J/ψ’s into “Run 4-like” events:– Full field– |vertexZ|<30cm– J/ψe+e- only

– Flat in pT and rapidity

• Quantities having to do with dE/dx are not well simulated must use data itself to correct spectra:– Isolated electron band using TOF

data in order to determine number of pairs lost due to nSigma cuts

– Used the correlation* between nHits and nHitsDedx to assess number of pairs lost due to nHitsDedx cuts

• Folded data-determined corrections into embedding efficiency analysis

TPC+TOF

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Efficiency Corrections (2/3)

• Efficiency corrections are shown as a function of transverse momentum

• Strong centrality dependence is observed

• Sag in the vicinity of 1.5 GeV/c induced by nSigma cuts

0-20%

40-80% 0-80%

20-40%

Centrality dependence of efficiency corrections

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Efficiency Corrections (3/3)• Correction factors were

obtained by embedding J/ψ’s into real data

• Due to lack of statistics, we had to resort to numerical integration

• Randomly sampled J/ψ candidates and carried out correction:

ΣdNdy =

N

( 1 ε(pT)

)Where N is the number of candidatesin a given centrality bin and ε is the efficiency

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Systematic Uncertainties

• Varied kinematic and track quality cuts in embedding. Variation of nHitsDedx cuts done in parallel with nHits variation

• Assessed uncertainty in correction the correction technique

• Uncertainty in background subtraction determined to contribute about 10% to overall errors, assumed equal across all centralities

• The uncertainty in the yield due to nSigma cuts is the dominant contributor to systematic errors, accuracy limited by TOF statistics

  0-80 0-20 20-40 40-80

nHits>24 1.8 1.5 1.5 1.5

nHits>26 2.1 1.8 1.3 1.9

|etamax|<0.99 0.6 0.4 0.8 0.5

|etamax|<1.01 0.5 0.3 0.5 0.5

|y_jpsi|<0.49 0.3 0.2 0.1 0.4

|y_jpsi|<0.51 0.3 0.6 0.1 0.3

corr. Technique 0.5 0.9 1.0 1.0

bkg. Subtraction 10 10 10 10

nSigma cuts 11.7 8.6 7.9 15.2

quadratic sum 15.7 13.4 13.0 18.4

Error Budget

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Comparison with PHENIX Results

• Our data is similar to PHENIX Run 2 data• Our results are higher than PHENIX Run 4

data, but error bars should be taken seriously!

Comparison with PHENIX Run 2 Comparison with PHENIX Run 4