QCD at finite density

40
Outline Attack Avoid Connect End QCD at finite density Sourendu Gupta ILGTI: TIFR Lattice 2010 Cagliari, Italy June 17, 2010 SG μ =0 QCD

Transcript of QCD at finite density

Page 1: QCD at finite density

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QCD at finite density

Sourendu Gupta

ILGTI: TIFR

Lattice 2010Cagliari, ItalyJune 17, 2010

SG µ 6= 0 QCD

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Attacking the sign problem

Avoiding the sign problem

Connecting to experiments

End

SG µ 6= 0 QCD

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Outline

Attacking the sign problem

Avoiding the sign problem

Connecting to experiments

End

SG µ 6= 0 QCD

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The problem

Gauge action positive; not changed by introduction of flavourchemical potentials.Fermion determinant contains sign problem:

det(D + m + µγ0)∗ = det(D + m − µ∗γ0)

Cannot be free of sign problems when µ is real non-zero.

Importance sampling fails: no Monte Carlo procedure.

Problem could be representation dependent; clever reformulationmay resolve the problem: for example, by changing to newvariables.

SG µ 6= 0 QCD

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How bad is the sign problem?

For µ < mπ/2 distribution of signs is Gaussian. At larger µ itbecomes Lorentzian. (Analysis in baryonless random matrixtheory). Hard in both cases.Lombardo, Splittorff and Verbaarschot, 0910.5842

0.8 1 1.2 1.4 1.6 1.8 2T/T

0

0

0.5

1

1.5

2

2.5

µ q/T

2π7π/43π/25π/4π3π/4π/2π/4

Effect of baryons? Effect of fi-nite temperature?Splittorff et al., Lattice 2010

Contour lines of the variance ofthe phase of the determinant:problem easier at high temper-ature.Bielefeld-Swansea, PR D 71 2005

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Reweighting

◮ Glasgow: generate ensemble at one point in phase diagram,reweight to another point; problem of overlap.

◮ Finite temperature reweighting; overlap problem smaller.Fodor and Katz, 2001

◮ Taylor-expand the quark determinant inside the path-integral;amounts to differential reweighting. Bielefeld Swansea, 2002

◮ Gaussian approximation to the phase of the determinant; usedto reweight configurations. Ejiri, 2007

No major methodological developments since 2007. Someapplications this year by WHOT-QCD.

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3D XY model: world-line formulation

Pure bosonic model: has a sign problem at finite µ:

S = −β∑

x ,µ

cos(

θx − θx+µ − iµδµ,t

)

.

Sign problem completely removed by introducing variablescorresponding to current of particles along links. Worm algorithmused to solve this problem.Banerjee and Chandrasekharan, 1001.3648

Interesting finite-size theory developed: examines the crossing ofthe ground state levels due to N particles and N + 1 particles as µvaries. FSS contains small number of parameters to be fitted toobservations. Scaling of energy level leads to the conjecture thatµc = M; determines the phase diagram.

SG µ 6= 0 QCD

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Phase diagram: 3D XY model

0 0.1 0.2 0.3 0.4 0.5β

0

1

2

3

4

µ

Normal

Superfluid

(Super)Solid ?

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Complex Langevin

Fields complexified, noise remains real. Revived in the last fewyears. Earlier problems with runaway directions and numericalinstability solved by using adaptive step-size integrators. Many testsystems now amenable to analysis using this technique. Proof ofconvergence seemed within reach.Aarts, Seiler, Stamatescu, 0912.3360

But new problem unearthed: convergence to wrong result.Conjectured not to be due to the sign problem; but resemble theresults of using a complex noise. Something yet to be understood.Aarts and James, 1005.3468

SG µ 6= 0 QCD

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Errors in complex Langevin simulation of 3D XY model

0 0.5 1 1.5 2 2.5 3 3.5 4

µ

0.1

0.2

0.3

0.4

0.5

0.6

0.7

β

0

1

2

3

4

5

6

7

Contour plot of ∆S = (SCL − SWL)/SWL.Aarts and James, 1005.3468

SG µ 6= 0 QCD

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Outline

Attacking the sign problem

Avoiding the sign problem

Connecting to experiments

End

SG µ 6= 0 QCD

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Maclaurin (Taylor) series expansion

The pressure in a grand canonical ensemble allows a Maclaurinseries expansion:

P(T , µ) = P(T ) +µ2

2!χ(2)(T ) +

µ4

4!χ(4)(T ) + · · ·

The coefficients are evaluated at µ = 0 where there is no signproblem.

Evaluate the susceptibilities χ(n) directly as expectation values ofoperators.Gavai, SG, 2003

Evaluate the susceptibilities by constructing the pressure (or itsderivatives) at series of imaginary chemical potentials and thenfitting extrapolating functions to the data.Cosmai et al., Falcone et al.: Lattice 2010

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Statistical significance of measurements

-20

-15

-10

-5

0

5

10

15

20

avg/

err

(vec

tors

)

1020

11 30 2140

3122

5041

6051

4233

7080

7152

6344

2011

4031

22

6051

4233

8071

5263

44

Covariance over configurations: σO4,O6≃ σO6,O8

≃ 0.7

1. Staggered: 4.243 lattice, mπ = 230 MeV, T = 0.75Tc , 400vectors. (Red symbols: supposed to vanish) SG, 2004

SG µ 6= 0 QCD

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Statistical significance of measurements

-20

-15

-10

-5

0

5

10

15

20

avg/

err

(vec

tors

)

1020

11 30 2140

3122

5041

6051

4233

7080

7152

6344

2011

4031

22

6051

4233

8071

5263

44

Covariance over configurations: σO4,O6≃ σO6,O8

≃ 0.7

1. Staggered: 4.243 lattice, mπ = 230 MeV, T = 0.75Tc , 400vectors. (Red symbols: supposed to vanish) SG, 2004

2. P4: mπ = 230 MeV, T = 0.84Tc , 400 vectors Schmidt

SG µ 6= 0 QCD

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Statistical significance of measurements

-20

-15

-10

-5

0

5

10

15

20

avg/

err

(vec

tors

)

1020

11 30 2140

3122

5041

6051

4233

7080

7152

6344

2011

4031

22

6051

4233

8071

5263

44

Covariance over configurations: σO4,O6≃ σO6,O8

≃ 0.7

1. Staggered: 4.243 lattice, mπ = 230 MeV, T = 0.75Tc , 400vectors. (Red symbols: supposed to vanish) SG, 2004

2. P4: mπ = 230 MeV, T = 0.84Tc , 400 vectors Schmidt

3. Asqtad quarks: up to 50% of the noise due to stochasticestimators with 400–800 vectors. MILC, 1003.5682

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CPU effort

LT = 4 lattices

At Tc autocorrelations: 200–250 trajectoriesNumber of CG inversions per trajectory: 200One measurement every decorrelated configuration: 500 × 18 CGinversionsMeasurement/configuration: 500 × 18/(200 × 200) = 0.24

At 2Tc autocorrelations: 4 trajectoriesNumber of CG inversions per trajectory: 100One measurement every decorrelated configuration: 100 × 18 CGinversionsMeasurement/configuration: 100 × 18/(100 × 4) = 4.5

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Series Analysis

Series analysis for spin models

Analysis of series for critical behaviour since 1960s. Well-developedwhen series coefficients are exactly known. First step: evaluateradius of convergence. Then check whether singularity is due tophysical parameter values.Domb and Green, vol 2

Series analysis for µ 6= 0 QCD

Similar idea, but needs to be adapted to specific problem. Seriescoefficients have statistical errors; coefficients are volumedependent. Some subtleties.Gavai, SG, 2004, 2008

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Finite volume effects

0

0.2

0.4

0.6

0.8

1

1.2

1.4

0 1 2 3 4 5 6 7 8

µ/(3

Τ)

n

LT=2, T/Tc=0.94

Gav

ai,SG

,08

06.2

233

.

Filled symbols: rn =√

(n + 3)!χ(n+1)/(n + 1)!χ(n+3)

Unfilled symbols: rn = ((n + 2)!χ(2)/2!χ(n+2))1/n

LT ≥ 4 and Lmπ ≥ 5; plateau develops.

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Finite volume effects

0

0.2

0.4

0.6

0.8

1

1.2

1.4

0 1 2 3 4 5 6 7 8

µ/(3

Τ)

n

T/Tc=0.94

Gav

ai,SG

,08

06.2

233

.

Filled symbols: rn =√

(n + 3)!χ(n+1)/(n + 1)!χ(n+3)

Unfilled symbols: rn = ((n + 2)!χ(2)/2!χ(n+2))1/n

LT ≥ 4 and Lmπ ≥ 5; plateau develops.

SG µ 6= 0 QCD

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Finite volume effects and order of expansion

1. Increasing order of series expansion and finite volume scalingclosely tied together.

2. Susceptibility never diverges on finite volume, but growshigher and sharper with increasing volume. Major effect:growth of peak; minor effect: shift of peak.

3. Series expansion of such a sequence of functions should showlack of divergence for each volume if pushed to large enoughorder.

4. At finite order, signal of eventual divergence should build up.

5. With increasing volume, there should be a plateau of stabilityfor radius of convergence before radius diverges.

SG µ 6= 0 QCD

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Cutoff dependence and the effect of strange quarks

0.7

0.8

0.9

1

1.1

0 1 2 3 4 5

T/T

c

/TBµ

N =4t

N =6t

Staggered: Nf = 2, mπ = 230 MeV, LT ≥ 4 Gavai, SG, 0806.2233

P4: Nf = 2 + 1, mπ = 220 MeV, LT = 4 Schmidt, 2010

SG µ 6= 0 QCD

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Cutoff dependence and the effect of strange quarks

0.7

0.8

0.9

1

1.1

0 1 2 3 4 5

T/T

c

/TBµ

N =4t

N =6t

Staggered: Nf = 2, mπ = 230 MeV, LT ≥ 4 Gavai, SG, 0806.2233

P4: Nf = 2 + 1, mπ = 220 MeV, LT = 4 Schmidt, 2010

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Cutoff dependence and the effect of strange quarks

0.7

0.8

0.9

1

1.1

0 1 2 3 4 5

T/T

c

/TBµ

Freezeout curve

N =4t

N =6t

Staggered: Nf = 2, mπ = 230 MeV, LT ≥ 4 Gavai, SG, 0806.2233

P4: Nf = 2 + 1, mπ = 220 MeV, LT = 4 Schmidt, 2010

SG µ 6= 0 QCD

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Cutoff dependence and the effect of strange quarks

0.7

0.8

0.9

1

1.1

0 1 2 3 4 5

T/T

c

/TBµ

Freezeout curve

10 GeV

20 GeV30 GeV

N =4t

N =6t

Staggered: Nf = 2, mπ = 230 MeV, LT ≥ 4 Gavai, SG, 0806.2233

P4: Nf = 2 + 1, mπ = 220 MeV, LT = 4 Schmidt, 2010

SG µ 6= 0 QCD

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The critical line

Critical line in the chiral limit? Curvature at finite µ:

Tc(µ) = Tc

[

1 + κ

(

µ

Tc

)2

+ · · ·

]

Ejiri et al., Mukherjee et al., Klein et al., Falcone et al., Lattice 2010

SG µ 6= 0 QCD

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Extrapolating measurements

0

1

2

3

4

5

0 0.5 1 1.5 2 2.5 3

χ

/ΤΒ

2

µ/Τ

n=2

n=4

Gav

ai,SG

,08

06.2

233

Infinite series diverges, but truncated series finite and smooth: sumis bad. Resummations needed to reproduce critical divergence.Pade resummation useful.

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Extrapolating measurements

0

1

2

3

4

5

0 0.5 1 1.5 2 2.5 3

χ

/ΤΒ

2

µ/Τ

P01

P11

Gav

ai,SG

,08

06.2

233

Infinite series diverges, but truncated series finite and smooth: sumis bad. Resummations needed to reproduce critical divergence.Pade resummation useful.

SG µ 6= 0 QCD

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Series at imaginary µ

Fal

cone

etal.,Lat

tice

2010

More terms in the series needed. Does a resummation help?

SG µ 6= 0 QCD

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The pressure

MIL

C,10

03.5

682

∆p = p(T , µ)− p(T , 0). May be interesting to try a resummation.

SG µ 6= 0 QCD

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Outline

Attacking the sign problem

Avoiding the sign problem

Connecting to experiments

End

SG µ 6= 0 QCD

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Event distributions of conserved charges

)pN∆Net Proton (-20 -10 0 10 20

Num

ber

of E

vent

s

1

10

210

310

410

510

610 0-5%30-40%70-80%

Au+Au 200 GeV<0.8 (GeV/c)

T0.4<p

|y|<0.5

STAR, 1004.4959

◮ Fluctuations of conservedquantities are Gaussian:provided large volume andequilibrium

◮ Proton number asubstitute for baryonnumber: how good?

◮ Is this Gaussian due(entirely or largely) tothermal fluctuations?

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Look beyond Gaussian

STAR: QM 2009, Knoxville

◮ Higher cumulantsscale down withlarger powers of V .

◮ Npart is a proxy forV .

◮ Cumulants observedto scale correctly asNpart .

◮ Can one connect toQCD?

SG µ 6= 0 QCD

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How to compare experiment with lattice QCD

The cumulants of the distribution are related to Taylorcoefficients—

[B2] = T 3V

(

χ(2)

T 2

)

, [B3] = T 3V

(

χ(3)

T

)

, [B4] = T 3Vχ(4).

V is unknown, so direct measurement of QNS not possible. Definevariance σ2 = [B2], skew S = [B3]/σ3 and Kurtosis, K = [B4]/σ4.Construct the ratios

Sσ =[B3]

[B2], Kσ2 =

[B4]

[B2],

S=

[B4]

[B3].

These are comparable with experiment provided lattice dataextrapolated to relevant T and µ: use Pade approximants.SG, 0909.4630

SG µ 6= 0 QCD

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Extrapolate lattice data to finite µ

STA

RCol

labor

atio

n,10

04.4

959

(201

0)

Surprising agreementwith lattice QCD:

◮ impliesnon-thermalsources offluctuations arevery small

◮ T does not varyacross thefreezeout surface.

◮ tests QCD innon-perturbativethermal region

Gavai, SG, 1001.3796

SG µ 6= 0 QCD

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Experiment vs lattice QCD

SG µ 6= 0 QCD

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Outline

Attacking the sign problem

Avoiding the sign problem

Connecting to experiments

End

SG µ 6= 0 QCD

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Other topics in this conference

1. Phase diagram at imaginary µ, Phillipsen et al., Cosmai et al.

2. Correlators for µ 6= 0, Iida et al.

3. Phase diagram in strong coupling, Miura et al., Nakano et al.,

Ohnishi et al.

4. Canonical ensemble simulations, Liu et al.

5. Unitary Fermi gas Goulko, Endres, Nicholson, Lee

6. Other topics Myers, Cristoforetti, Wettig, Palumbo

SG µ 6= 0 QCD

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Summary

1. Some algorithmic progress in direct attack on the signproblem. Several related problems now solvable. Manyinteresting results now available: 3D XY model most recent.

2. Analytic continuation methods yielded many results.Application to phase diagram and EOS since 2003. Applied tocorrelators, number density, etc..

3. Imaginary µ is an alternative method for analytic continuation.Many studies of systematics reported in parallel sessions.Consistency with Taylor expansion now being established.

4. Methods exist to compare lattice results with experimentsnow being done at the RHIC. First results very encouraging.

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Backup: Lattice results for the Columbia Plot

In Nf = 2 + 1:

mcritπ

{

= 0.07mπ (Nt = 4)

< 0.12mπ (Nt = 6)

Endrodi etal, 0710.0988

Similarly for Nf = 3.Karsch etal, hep-

lat/0309121

SG µ 6= 0 QCD

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Backup 2: Analysis of BiBrooG data a la ILGTI

1

2

3

4

5

6

0.8 1 1.2 1.4 1.6 1.8 2 2.2

/T

T/Tc

2/4

4/6

SG µ 6= 0 QCD