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[email protected] du 1 Statistical Models and STAR’s Statistical Models and STAR’s Strange Data Strange Data Sevil Salur Sevil Salur Yale University for the STAR Collaboration

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Page 1: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Statistical Models and STAR’s Strange Statistical Models and STAR’s Strange DataData

Sevil SalurSevil Salur

Yale University

for the STAR Collaboration

Page 2: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Particle Production and Volume

Pointed out by Fermi, Hagedorn in 1960’s(and discussed much more since)

Particle production can be described by the phase space!

Statistical models are used to estimate the equilibrium properties

• Trends of particle yields and ratios

• How good are the thermal model fits? What are T, s B parameters?

• Can the phase space arguments describe the strangeness centrality dependence?

• Is there a difference in the production of the bulk matter and the non-bulk matter?

Canonical (small system i.e. pp):Quantum Numbers conserved exactly.

Grand Canonical limit (large system i.e. central AA):Quantum Numbers conserved on average via chemical potential.

Page 3: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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200 GeV Au+Au

ssssss200 GeV Au+Au

udss200 GeV Au+Au

dssss200 GeV Au+Au

200 GeV p+p 200 GeV p+p

The Corrected ParticleSpectra 200 GeV 200 GeV p 200 GeV

(u(us+s+ddss))

((ssss)) *(1520) *(1520) (ud(udss))

**(uu(uuss))

K*200 GeV

* 200 GeV 200 GeV * 200 GeV

Page 4: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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STAR Preliminary

• s-Baryon production is ~constant at mid-rapidity.

STAR Preliminary

Strange Baryon Production and Collision Energy…

s-Baryon production equals s-Baryon at RHIC Energies!

s-Baryon rises smoothly at mid-rapidity.

• s-Baryon Resonance follow the same trend.

Au+Au

Pb+Pb

STAR Preliminary

Page 5: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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An enhancement in the K/ ratios ~ 50%

Strangeness Production and Collision Energy…

independent of system size at 200 GeV and equal to p+p values at lower energies.

Page 6: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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/ ratios are approximately independent of the system

size at RHIC energies.

Strange ParticleRatios vs System Size

Re-scattering and regeneration is needed ! t > 0, constant for different centralities!Regeneration σ(K*) > σ(*)

Page 7: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Thermal Models Used Models Used 4 parameter Fit SHARE V1.2 THERMUS V2

Authors M. Kaneta et al G. Torrieri, J. Rafelski et. al.

S. Wheaton and J. Cleymans

Language Fortran Fortran C++

Ensemble Grand Canonical Grand Canonical Canonical and Grand Canonical

Parameters T, q, s , s T, q , s , q , s , I3, N, C , C

T, B, S , q, C, s , C , R (T B S Q s R)

q 1 Free Parameter 1

Feed Down possible default is with % feed-downs

default is not with feed-downs (harder to manipulate)

Chemical Potential I paticle anti-particle difference ,

Phase Space Occupancy I regulates the sum of particle-anti particle

pairs

GRAND Canonical: (Large) on average conservation

Canonical: (Small) event-by-event conservation =exp(/T)

Page 8: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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To make any kind of consistency checks …

FIRST:

Requirements of the models should be same.

Fix parameters …

E.g. Set q to 1 in SHARE,

Allow only Grand Canonical Ensemble in THERMUS

Either remove all the feed-downs or include to all models with the same amounts. (Tricky One)

Page 9: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Consistency check of models…

Ratio STAR data

p/p

p

1.01±0.02

0.96±0.03

0.77±0.04

0.15±0.02

0.082±0.009

0.054±0.006

0.041±0.005

(7.8±1) 10-3

(6.3±0.8) 10-3

(9.5±1) 10-4

1.01±0.08

all models predict similar T and swith different errors.

They are not identical.

add feed-down increase in s decrease in T

1 error

Page 10: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Thermal Model Predictions without feed-down

T 178 ± 7 MeV

s 0.85 ± 0.05

r 15 ± 10 fm

B (4.3 ± 1.1) X 10-2 MeV

S (1.8 ± 0.8) X 10-2 MeV

Q (-1.9 ± 0.9) X 10-2 MeV

Particle ratios are represented except .

Particle ratios are well described for Tch=177 MeV except the */

Page 11: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Thermal Model Predictions with feed-down

T 168 ± 6 MeV

s 0.92 ± 0.06

r 15 ± 10 fm

B (4.5 ± 1.0) X 10-2 MeV

S (2.2 ± 0.7) X 10-2 MeV

Q (-2.1 ± 0.8) X 10-2 MeV

Particle ratios are represented except .

Particle ratios are well described except the */

Small B No incoming baryon number

T is same for pp and AuAu

Page 12: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Thermal Model Predictions with feed-down

T 171 ± 9 MeV

s 0.53 ± 0.04

r 3.49 ± 0.97 fm

B and Q = 2, S = 0 T 168 ± 6 MeV

s 0.92 ± 0.06

r 15 ± 10 fm

B (4.5 ± 1.0) X 10-2 MeV

S (2.2 ± 0.7) X 10-2 MeV

Q (-2.1 ± 0.8) X 10-2 MeV

Particle ratios are represented except .

Particle ratios are well described except the */T is same for pp and AuAu

J. Cleymans hep-ph 0212335

The relative strangeness production for Pb+Pb at SPS similar to p+p at RHIC .

s is higher in AuAu

An enhancement in the K/ ratios ~ 50%

Page 13: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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and yields in AuAurelative to pp rises.

System Size Dependence at 200 GeV

Solid – STAR Open – NA57

• The enhancements grow with the strangeness of the baryon and centrality.

• The enhancements are similar to those measured in √sNN =17.3 GeV collisions.

• Bands from Redlich assuming T=160-175 MeV

Page 14: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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System Size Dependence at 200 GeV

Correlation volume not well modelled by Npart

Is the scaling more important than normalization ?

K. Redlich – private communication

Solid – STAROpen – NA57

1

2/31/2

Correlation volume:

V= (ANN)a ·V0

ANN = Npart/2 V0 = 4/3 ·R0

3

R0 = 1.1 fm proton radius/strong interactions

T = 165 MeV a = 1a = 2/3 - area drives yields

a = 1/2 - best fit

Page 15: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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s-Quarks Have Different Scaling!

Scaling according to quark content?

u, d – scale with Npart

– already observed.

s – scale with Nbin

– appears better for strange particles.

K0s – 1/2*Npart + 1/2*Nbin

p – Npart

– 2/3*Npart + 1/3*Nbin

– 1/3*Npart + 2/3*Nbin

– Nbin

– Nbin

Npart

Does strangeness “see” a significant NBin contribution?

Normalized to central data

is puzzling!

Helen Caines SQM 2004

Page 16: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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s-quark

Ordering with strangeness content!

Mesons (h+ + h-, K0s , ) follow

similar trends.

Strange baryons don’t show suppression.

Rcp Raa for strange baryons. Canonical suppression in p+p …?

RAA of Strange Particles

STAR PreliminaryAu+Au

p+p

0-5%

√sNN=200 GeV

Particles with strange quarks scale differently than non-

strange!

Page 17: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Nuclear Modification Factor Rcp

0-5%

40-60%Y-4 K0

s

√sNN=200 GeV

Baryons and mesons are different !

62 GeV Rcp shows less suppression.

√sNN=62 GeV 0-5%

40-60%

Baryon and meson suppression sets in at different pT .

Page 18: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Phys. Rev. Lett. 92 (2004) 052302 Au+Au √sNN=200 GeV

Au+Au √sNN=62 GeV

STAR Preliminary

Nuclear Modification Factor Rcp

Coalescence vs Fragmentation?

0-5%

40-60%

Baryon and meson suppression sets in at

different pT .

Y-4 K0s

√sNN=200 GeV

Page 19: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Baryon and meson suppression sets in at

same quark pT .

0-5%

40-60%

√sNN=200 GeV

Nuclear Modification Factor Rcp

Coalescence vs Fragmentation?

0-5%

40-60%

Baryon and meson suppression sets in at

different pT .

Y-4 K0s

√sNN=200 GeV

Page 20: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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0-5%

40-60%

√sNN=200 GeV

For quark pT 0.8-1.2 GeV

pT of the quark 0.8-1.2 GeV baryon pT (2.4-3.6) meson pT (1.6-2.4)

get the yields fit the ratios to thermal models and compare with all.

Page 21: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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1 With K/

K/p ratio effect on the fits!

Ratio STAR data

p/p

p

1.01±0.02

0.96±0.03

0.77±0.04

0.15±0.02

0.082±0.009

0.054±0.006

0.041±0.005

(7.8±1) 10-3

(6.3±0.8) 10-3

(9.5±1) 10-4

1.01±0.08

Ratio STAR data

p/pp

1.01±0.02

0.96±0.03

0.77±0.04

0.082±0.009

0.054±0.006

0.72±0.024

(7.8±1) 10-3

0.818±0.054

1.01±0.08

K/ reduces the error on s

With K/

Without K/

Page 22: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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1 With K/

Quark pT (0.8-1.2) range!

Ratio STAR data

p/p p

1.01±0.02

0.96±0.03

0.77±0.05

0.137±0.013

0.156±0.015

0.72±0.024

(2.9±0.3) 10-2

0.818±0.054

1.01±0.08

K/ reduces the error on s

With K/

Without K/

with feed-down

T and s increases for (0.8-1.2)

1 error

Page 23: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Conclusions

Baryon transport is ~ independent of system size at RHIC energies.

Coalescence can explain the meson baryon difference at 62 GeV collisions too. Baryon and meson suppression sets in at same quark pT .

Feed down corrections from weak decays are important.

T is similar for pp and AuAu collisions. While s of pp collisions at RHIC is smaller than AuAu at RHIC, it is similar to that of PbPb at SPS.

Where quark coalescence seems to dominate (intermediate pT) T and s show an increase.

It looks like these particles come from a hotter source.

Particles with s-quarks appear to scale differently than non-s quarks. Maybe s-quarks “see“ a different correlation volume than light quarks?

Page 24: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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• EXTRAS…

Page 25: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Investigation of strange particle yields and ratios. Comparison of Thermal Models

Thermus, Share and Kaneta et al. The effect of feed-down contributions

RAA comparison with RCP

Investigation of strangeness ordering. Is there a scaling in Au+Au production for the strange

quarks? N Participants vs N Binary ?

Outline

Page 26: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Particle Production and Volume

Canonical (small system i.e. pp):Quantum Numbers conserved exactly.

Computations take into account energy to create companion to ensure conservation of strangeness.

Grand Canonical limit (large system i.e. central AA):Quantum Numbers conserved on average via chemical potential. Account only creation of particle itself.

The rest of the system “picks up the slack”. When reach grand canonical limit strangeness saturate

Pointed out by Fermi, Hagedorn in 1960’s(and much more discussed since)

Particle production can be described by the phase space!

Need to measure pT spectra particle ratios

Statistical models are used to predict the equilibrium properties

Page 27: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Spectra with exponential fits

√sNN=200 GeV

AuAu Collisions

Page 29: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Over all range data from my fits!

Ratio STAR data

p/p p

1.01±0.02

0.96±0.03

0.77±0.05

0.102±0.01

0.056±0.006

0.72±0.024

(6.8±0.7) 10-3

0.818±0.054

1.01±0.08 T and s parameters are predicted to be the same in

both sets of ratios!

with feed-down little effect on

T and s

Page 30: Sevil.salur@yale.edu 1 Statistical Models and STAR’s Strange Data Sevil Salur Yale University for the STAR Collaboration

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Fig. 1: QuestionsSolid – STAR Open – NA57

Is reason that protons don’t sit at unity due to lack of feed-down correction from Lambda?

Is this a problem when taking ratios? Different feed-down for p-p than Au-Au?

Also questions about the highest two centrality bins as them see high for all our data. Is there a problem with our Npart calc?