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Measurements of J/ yie lds at forward-rapidity and mid-rapidity in Au+ Au collisions at s NN =200 GeV by PHENIX at RHIC Taku Gunji CNS, University of Tokyo For the PHENIX collaboration on I.1, Taku Gunji, PANIC, Santa Fe, 2005/10/24 1
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Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

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Section I.1, Taku Gunji, PANIC, Santa Fe, 2005/10/24. 1. Measurements of J/ y yields at forward-rapidity and mid-rapidity in Au+Au collisions at s NN =200 GeV by PHENIX at RHIC. Taku Gunji CNS, University of Tokyo For the PHENIX collaboration. 2. Outline. Physics Motivation - PowerPoint PPT Presentation
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Page 1: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Measurements of J/yields at forward-rapidity and mid-rapidity

in Au+Au collisions at sNN=200 GeV by PHENIX at

RHIC

Taku Gunji

CNS, University of Tokyo

For the PHENIX collaboration

Section I.1, Taku Gunji, PANIC, Santa Fe, 2005/10/24 1

Page 2: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Outline

Physics Motivation PHENIX ExperimentResults and Comparison to the theoretical

models Nuclear Modification Factor Invariant pT distribution

<pT2> vs. Number of collisions (Ncol)

Invariant Yield (BdN/dy) vs. Rapidity

Summary

2

Page 3: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Physics Motivation J/ is one of the most important probes to study hot

and dense medium created by heavy ion collisions. J/is supposed to be created at initial stage of collisions an

dinteracts with the surrounding medium.

Competing effects of J/ production in the medium Suppression of the Jyield by Color Debye Screening Enhancement of the J/ yield by the recombination of uncor

related cc pairs Cold matter effects (Nuclear absorption, Gluon Shadowing)

Therefore, Need to do the systematic study. Collision Geometry and Rapidity dependence Different nuclear species (p+p, d+Au, Cu+Cu, Au+Au)

Base line to understand the cold matter effects. Different beam energy (62.4,130 and 200 GeV)

3

Page 4: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

PHENIX Experiment

Central Arms:Hadrons, photons, electrons

J/ e+e- 0.35 Pe > 0.2 GeV/c (2 arms x /2)

Muon Arms:Muons at forward rapidity

J/ 1.2< < 2.4 P > 2 GeV/c

Centrality measurement: Beam Beam Counters and Zero Degree Calorimeters

PHENIX recorded 1.5B (total) events (~ 241 b-1) in 2004 run• 10 times larger statistics compared to 2002 run• reconstructed ~ 600 J/e+e- and ~ 5000 J/+-

4

Page 5: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Nuclear Modification Factor Nuclear Modification Factor : RAA =

dNJ/AuAu/dy

dNJpp/dy <Ncoll>x

J/J/yield is suppressed compared to that in p+p collisionyield is suppressed compared to that in p+p collisions.s.

• Suppression is larger for more central collisions.Suppression is larger for more central collisions.• Factor of 3 suppression at most central collisions. Factor of 3 suppression at most central collisions.

5

Ncol = Number of binary N-N collisions.

RAA =1 Yield is scaled by Ncol.

(same as p+p) No medium effects.

RAA < 1 Suppression

RAA

bar : stat. errorbracket : point-by-point sys. errorbox : common sys. error

Page 6: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Theory : R. Vogt et. al. nucl-th/0507027EKS98(PDF), abs = 3mb at y=0, y=2

y=2y=0

Cold Nuclear Matter Effects

Beyond the suppression from cold nuclear matter effects Beyond the suppression from cold nuclear matter effects for most central collisions even if for most central collisions even if abs abs ~ 3 mb. ~ 3 mb.

6

Nuclear Absorption and Gluon Shadowing Evaluated from PHENIX d+Au results

abs< 3mb and abs of 1 mb is the best fit result.

RdA

0

0.2

0.4

0.6

0.8

1.0

1.2

y

(nucl-ex/0507032)

d+Au

Page 7: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Suppression Models Color screening, direct dissociation, co-mover scattering

7

J/J/suppression at RHIC is over-predicted by the suppressionsuppression at RHIC is over-predicted by the suppressionmodels that described SPS data successfully.models that described SPS data successfully.

Co-moverDirect dissociation

QGP screening

Page 8: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Suppression + Recombination Models

Better matching with results compared to suppression models.Better matching with results compared to suppression models.At RHICAt RHIC (energy) (energy): Recombination compensates stronger : Recombination compensates stronger supsuppressionpression??

8

Page 9: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Invariant pT distribution

J/ +-

9

J/ e+e-

20-40%

40-93%

p+p

0-20%

20-40%

40-93%

Prediction of J/yield at low pT : Enhancement (Recombination) / Suppression (QGP suppression)

Extraction of <pT2> by fitting with A(1+(pT/B)2)-6

Page 10: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

<pT2> vs. Ncol, BdN/dy vs. Rapidity

Recombination predicts narrower pT and rapidity distribution. <pT

2> vs. Ncol Predictions of recombination model matches better.Predictions of recombination model matches better.

BdN/dy vs. Rapidity No significant change in rapidity shape compared to p+p result.No significant change in rapidity shape compared to p+p result.

But charm pT and rapidity distributions at RHIC is open question.

10

No recombination

Recombination p+p

40-93%20-40%0-20%

Page 11: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Summary PHENIX measured the J/yield and invariant pT

distribution at mid-rapidity and forward rapidity. Suppression of J/Suppression of J/yield can be seen.yield can be seen.

Suppression is larger for more central collisions.Suppression is larger for more central collisions. Factor of 3 suppression at most central collisions.Factor of 3 suppression at most central collisions.

Cold matter effects under-predict the suppression.Cold matter effects under-predict the suppression. Suppression models over-predict the suppression. Suppression models over-predict the suppression. Suppression + Recombination models match better.Suppression + Recombination models match better. <p<pTT

22> shows better matching to recombination model.> shows better matching to recombination model. No significant change in the Rapidity shape.No significant change in the Rapidity shape.

Need to understand our data with charm pNeed to understand our data with charm pTT and rapidity and rapidity

distributions at RHIC.distributions at RHIC.

11

Page 12: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

USA Abilene Christian University, Abilene, TX Brookhaven National Laboratory, Upton, NY University of California - Riverside, Riverside, CA University of Colorado, Boulder, CO Columbia University, Nevis Laboratories, Irvington, NY Florida State University, Tallahassee, FL Florida Technical University, Melbourne, FL Georgia State University, Atlanta, GA University of Illinois Urbana Champaign, Urbana-Champaign, IL Iowa State University and Ames Laboratory, Ames, IA Los Alamos National Laboratory, Los Alamos, NM Lawrence Livermore National Laboratory, Livermore, CA University of New Mexico, Albuquerque, NM New Mexico State University, Las Cruces, NM Dept. of Chemistry, Stony Brook Univ., Stony Brook, NY Dept. Phys. and Astronomy, Stony Brook Univ., Stony Brook, NY Oak Ridge National Laboratory, Oak Ridge, TN University of Tennessee, Knoxville, TN Vanderbilt University, Nashville, TN

Brazil University of São Paulo, São PauloChina Academia Sinica, Taipei, Taiwan China Institute of Atomic Energy, Beijing Peking University, BeijingFrance LPC, University de Clermont-Ferrand, Clermont-Ferrand Dapnia, CEA Saclay, Gif-sur-Yvette IPN-Orsay, Universite Paris Sud, CNRS-IN2P3, Orsay LLR, Ecòle Polytechnique, CNRS-IN2P3, Palaiseau SUBATECH, Ecòle des Mines at Nantes, NantesGermany University of Münster, MünsterHungary Central Research Institute for Physics (KFKI), Budapest Debrecen University, Debrecen Eötvös Loránd University (ELTE), Budapest India Banaras Hindu University, Banaras Bhabha Atomic Research Centre, BombayIsrael Weizmann Institute, RehovotJapan Center for Nuclear Study, University of Tokyo, Tokyo Hiroshima University, Higashi-Hiroshima KEK, Institute for High Energy Physics, Tsukuba Kyoto University, Kyoto Nagasaki Institute of Applied Science, Nagasaki RIKEN, Institute for Physical and Chemical Research, Wako RIKEN-BNL Research Center, Upton, NY

Rikkyo University, Tokyo, Japan Tokyo Institute of Technology, Tokyo University of Tsukuba, Tsukuba Waseda University, Tokyo S. Korea Cyclotron Application Laboratory, KAERI, Seoul Kangnung National University, Kangnung Korea University, Seoul Myong Ji University, Yongin City System Electronics Laboratory, Seoul Nat. University, Seoul Yonsei University, SeoulRussia Institute of High Energy Physics, Protovino Joint Institute for Nuclear Research, Dubna Kurchatov Institute, Moscow PNPI, St. Petersburg Nuclear Physics Institute, St. Petersburg St. Petersburg State Technical University, St. PetersburgSweden Lund University, Lund

12 Countries; 58 Institutions; 480 Participants*

*as of January 2004

12

Page 13: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Back up slides

Page 14: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Npart scaling dNAA/dy

0.5 x <Npart>

Could be flat in the forward region, but not in the central region

J/ e+e-J/

Page 15: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

RAA as a function of pT

RAA vs. pT

Results from

forward rapidity region

low pT points are

Significantly lower than 1. Suppression can be

seen for low pT J/

Page 16: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

J/ from d+Au collisions Invariant cross section and RAA

Page 17: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Invariant pT distribution (d+Au and p+p)

<pT2>= 3.17±0.33

<pT2>= 4.20±0.76

Page 18: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

PHENIX Experiment

BBC, ZDC centrality z-vertex

DC, PC1 momentum

RICH Electron ID

EMCal (PbGl, PbSc) Energy Track Matching

Page 19: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Data analysis Invariant Yield

Centrality selection Nevt

Signal Counting of J/ NJ/

e+ e- Invariant mass subtract combinatorial background

Correction factors single J/ detection efficiency acc x eff

centrality dependence embed

Run-by-Run fluctuation of detector acceptance run-by-run

Page 20: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

Signal counting of J/

20-40% 40-93%

209.0 +- 18.5

Analyzed ~ 760 M Minimum Bias Data NJ/ = Nee – Nmixed_ee (2.9 <Mee<3.3 GeV)

Event mixing method was used.Invariant mass spectrumUnlike pairsMixed unlike pairs

Central:0-20%

Subtracted

Centrality NJ/ 0-10% 145.4 +- 25.310-20% 155.1 +- 19.220-30% 124.2 +- 14.730-40% 87.9 +- 11.1 40-60% 70.1 +- 9.660-92% 26.7 +- 5.4

NJ/is counted in this mass range.

Centrality vs. NJ/

Page 21: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

/JN

MBN

/JA

MBBBC

MBJBBCJ

J N

Ay

NJAA

dy

dNB

/)/(

//

/

MBBBC

/JBBC

: number of ‘s reconstructed

: probability for a thrown and embeded

into real data to be found

(considering reconstruction and trigger efficiency)

: total number of events

: BBC trigger efficiency for events with a

: BBC trigger efficiency for minimum bias events

/J

/J

/J

How do we get J/ yield ?

For Au+Au collision : /JBBC

MBBBC

Invariant yield :

~

Page 22: Taku Gunji CNS, University of Tokyo For the PHENIX collaboration

1. Get momentum of tracks

Muon tracker

2. Identify muons Depth in Muon Identifier (MUID)

3. Get di-muon invariant mass spectra

4. Extract J/ signal Event mixing technique

5. Correct for acceptance and efficiencies Realistic detector simulation

6. Calculate corresponding luminosity run4AuAu Level-2 filtered at CCF (70%)

- 170 mb-1

7. Estimate systematic errors

Cross section

Analysis procedure Extract signal with event mixing method

Calculate Acceptance x Efficiency

Acceptance efficiencyⅹ ( considered various

factors)

12 %

Luminosity 2 %

Signal extraction Different (bin by bin)

Systematic error estimation

Analysis