Hydrodynamic Tests of Fluctuating Initial Conditions George Moschelli & Hannu Holopainen...

Hydrodynamic Tests of Fluctuating Initial Conditions

George Moschelli

&

Hannu Holopainen

Transport Meeting24 January 2012

Motivation

MC-KLN: Drescher, Nara, nucl-th/0611017

IP-Glasma: Schenke, Tribedy, Venugopalan,arXiv:1206.6805, Phys. Rev. Lett. 108 (2012) 252301

Fluctuating Initial Conditions and Event-by-Event Studies

• Local Correlations

• Global Correlations

• Geometry Fluctuations

Local CorrelationsInitial State Configuration Final State Momentum

Final state momenta are correlated to initial position. • Reaction / event plane• Common origin

Influence of fluctuating ICs• Arbitrary event shapes.• Random number of sources

and source sizes.

Goal: Determine hydro response to “common origin” correlations and dependence on choice of IC.

Global Correlations

E-by-E Hydro Evolution• Ideal Hydro• Lattice EoS• Gaussian Energy Density

lumps at mixture of MC Glauber Nbin and Npart positions

• Gaussian width: 0.4 fm

Goal: Trace the evolution of fluid element correlations to freeze out.

Global Correlations

E-by-E Hydro Evolution• Ideal Hydro• Lattice EoS• Gaussian Energy Density

lumps at mixture of MC Glauber Nbin and Npart positions

• Gaussian width: 0.4 fm

Goal: Trace the evolution of fluid element correlations to freeze out.

Flow LinesSpace Velocity

• Dots at initial positions of binary collisions• Movement indicates fluid cell position and velocity • Black line: const*e2

• Blue line: const*e3

• Green dots: randomly chosen group within 0.4 fm radius

• 20-30% centrality• Nbin = 464• Npart = 176• Freeze out: T = 120 MeV

Flow LinesSpace Velocity

• 20-30% centrality• Nbin = 464• Npart = 176• Freeze out: T = 120 MeV

• Dots at initial positions of binary collisions• Movement indicates fluid cell position and velocity • Black line: const*e2

• Blue line: const*e3

• Green dots: randomly chosen group within 0.4 fm radius

Fluid-Fluid Correlations

1-p

yx

yx

,Cov

• “Emission” angle corresponds to initial spatial angle. Expectation: central (circular) collisions agree, peripheral (elliptical) collisions should deviate

• Faster dots have larger displacement

• Final velocity depends on initial position. → Angular correlations!

• Faster dots freeze out first

• Need mixed events

Average Displacement

r0,min

r0,max

• Larger average displacement in central collisions

• central collisions live longer • greater effect on common origin

correlations than vn

• Linear correlation between r0,

Dr, and vFO

• Flow lines starting at different radial positions get different transverse push.

• Enhances common source correlations

• Changes <en>time

Goal: Determine a source “resolution”.

Freeze Out Time

• Faster dots freeze out first• Blue: Event average 20-30% centrality• Red: single event with 464 Flow Lines

• Average flow line lifetime longest in most central collisions

Freeze Out Time

• Freeze out histograms indicate the flux of flow lines through the freeze out surface at different times.

Freeze out and Event Planes

rw

nrw nn

cos

nnrw

nrw

nn

cos

sinarctan

1

Alvioli, Holopainen, Eskola, Strikman arXiv:1112.5306

Space Velocity

n = 1 w(r) = r3

n = 2 w(r) = r2

n = 3 w(r) = r3

e2

• Difference in initial eccentricities due to Glauber mixture IC vs. Nbin Flow Lines

• Freeze out changes initial and final eccentricity

• Freeze out velocity eccentricity represent a “time averaged” freeze out surface

• Final eccentricity agrees with freeze out velocity eccentricity

Goal: Study IC structure impact on time averaged velocity eccentricity.

e3

• Difference in initial eccentricities due to Glauber mixture IC vs. Nbin Flow Lines

• Freeze out changes initial and final eccentricity

• Freeze out velocity eccentricity represent a “time averaged” freeze out surface

• Final eccentricity agrees with freeze out velocity eccentricity

Goal: Study IC structure impact on time averaged velocity eccentricity.

en Distributions

Cartesian Space

Velocity Space#

Eve

nts

# E

ven

ts

Fluctuations can differentiate initial conditions

Multiplicity Fluctuations

Fluctuations per source

Fluctuations in the number of sources

For K sources that fluctuate per event

KK

KK

K

112

22

2

2

R

Negative binomial distribution

1 NBDkR

Schenke, Tribedy, Venugopalan, arXiv:1206.6805, Phys. Rev. Lett. 108 (2012) 252301

Gelis, Lappi, McLerran Nucl.Phys. A828, 149 (2009)

Gavin, Moschelli Phys.Rev. C79, 051902 (2009)

Negative Binomial Distribution

Fluctuations per source

Fluctuations in the number of sources

For K sources that fluctuate per event

KK

KK

K

112

22

2

2

R

Negative binomial distribution

1 NBDkR

Schenke, Tribedy, Venugopalan, arXiv:1206.6805, Phys. Rev. Lett. 108 (2012) 252301

Gelis, Lappi, McLerran Nucl.Phys. A828, 149 (2009)

Gavin, Moschelli Phys.Rev. C79, 051902 (2009)

NBD put in by hand

Fluctuations and Correlationscorrelations = pairs - singles2

211121221 ,, pppppp r

R22

2121 1, NNNNddr pppp

ttt ppp

2121

2121 1

,pp

ppdd

NN

rpppp tttt

21

2122

2 cos12

,

2

42pp

ppddn

NN

rvv nnn

Multiplicity Fluctuations

Momentum Fluctuations

“Flow Fluctuations”

Gavin, Moschelli

nucl-th/1107.3317

nucl-th/1205.1218

The next step

IC lumps from K random sources

• Poisson flow line multiplicity per source

• Compare large <K> and small source size to small <K> and large source size

• Compare to “smooth” hydro

Angular Correlations

• Compare en and vn with different IC

• Radial cuts

• Momentum, vn (eccentricity) and vn{2}2-vn{4}2 fluctuations

Mixed Events

• With and without aligned reaction / event planes

Summary

Can we use hydro select the right IC?

• Determine hydro response to “common origin” correlations and dependence on choice of IC.

• Trace the evolution of fluid element correlations to freeze out.

• Determine a source “resolution”.

• Study IC structure impact on time averaged velocity eccentricity.

Freeze out effects

• Eccentricity fluctuations

• Event plane angle determination

Cumulant Expansion

212111212 ,, pppppp r

222 22 nnn vv

Pair Distribution:

Two-particle coefficient:

Correlated Part:

Borghini, Dinh, Ollitrault

vn factorization is a signature of flow if sn = 0

• <vn>2 = reaction plane correlations

• s2n = other correlations

• vn{4} <vn>

Borghini, Dinh, Ollitrault;Voloshin, Poskanzer, Tang, Wang

21

2122

2 cos12

,

2

42pp

ppddn

NN

rvv nnn

The Soft Ridge

• Only cos Df and cos 2Df terms subtracted

•These terms also contain fluctuations

•Glasma energy dependence•R scale factor set in

Au-Au 200 GeV•Blast wave f (p,x)•Difference in peripheral

STAR→ALICE

refn

n

ref

r

dy

dNnv

dy

dN

2

1cos

2

2

1

2

Flow subtracted ridge

ndy

dN

ref

n cos2 2

Four-Particle Coefficients

4

432144 cos224 nnn vnvv

4321

432111

4131211143214

,,

,

,,,

pppp

pppp

pppppppp

rr

r

4224

4321 24cos nnnn vvn

Voloshin, Poskanzer, Tang, WangBorghini, Dinh, and Ollitrault

Four-particle coefficient:

Four-Particle Distribution: keep only two-particle correlations

222244 Re24 nnnnn vvv

22224224

4321

Re224

cos

nnnnnnn vvv

n

vn{4} corrections

21

212 2cos1

,Re pp

ppddn

NN

rRPn

221

Four-particle coefficient:

Will cancel with vn{2} terms

Corrections of order ~1.2%

R

• K flux tubes, assume • K varies event-by-event

Fluctuations per source

Fluctuations in the number of sources

For K sources that fluctuate per event

KK

KK

K

112

22

2

2

R

KNK

KNNKK

222

KN

222222 KKKNN