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July 22, 2004
Hot Quarks 2004Taos Valley, NM
Charmonia in the Deconfined PlasmaCharmonia in the Deconfined Plasma from Lattice QCD from Lattice QCD
Masayuki Asakawa
Osaka University
Intuitive and Quick Introduction to Lattice QCDIntuitive and Quick Introduction to Lattice QCDandand
M. Asakawa (Osaka University)
Warm Up: Quantum MechanicsWarm Up: Quantum Mechanics
In (Undergraduate) Quantum Mechanics, Transition amplitude is given by
, , exp ( )
[ , ] 1
F F I I F F I Iq t q t q iH t t q
q p i
The same quantity has another expression,
, , exp ( , ) (usually)F L
I I
q t
F F I I q tq t q t Dq i L q q dt
Very roughly speaking,
stands for sum over pathsDq
M. Asakawa (Osaka University)
AB Effect and Path IntegralAB Effect and Path Integral
Famous AB(Aharonov-Bohm) effect (Modern Quantum Mechanics, J.J.Sakurai)
(0)
(0)
exp exp
exp exp
F F
I I
F F
I I
t x
above t x above
t x
below t x below
D i L dt ie d
D i L dt ie d
x A s
x A s
Amplitude at the interference point
F F
I I
x x
x xbelow above
B
ie d ie d ie d
ie
A s A s A s
common phases for pathsabove and below the cylindersource
0B
0 0 but B A
interferencepoint
impenetrable wall
M. Asakawa (Osaka University)
Path Integral in Field TheoryPath Integral in Field Theory
Field Theory : Quantum Mechanics with Infinite Degrees of Freedom
degree of freedom distributed at each point
Sum over Paths Sum over Field Distributions (configurations)
( ) ( , )
( ) ( , )
q t x t
p t x t
[ , ] [ ( , ), ( , )] ( )q p i x t y t i x y
, , exp ( , )F L
I I
q t
F F I I q tq t q t Dq i L q q dt
4, , exp ( , )F L
I I
t
F F I I tt t D i d x
L
M. Asakawa (Osaka University)
Discretization, a.k.a. LatticeDiscretization, a.k.a. Lattice
So far, no approximation has been done
In order to calculate path integral numerically,Space-Time is discretized
Also, let us consider field theory in Euclidean space-time
( )t t i
4exp ( , ) exp exp[ ]L
I
t
M Eti d x iS S L
Remember
0( ) lim
xf x dx
x
f(x)
x
M. Asakawa (Osaka University)
QCD on the LatticeQCD on the Lattice
Gauge Fields on the Lattice
• In order to retain Gauge Invariance, Gauge Fields are distributed between lattice points (=link), while Fermion Fields still live at lattice points
x ˆx
ˆx ˆˆx
( )U x
a
( ) exp[ ( )]
( ) (3)
U x iagA x
U x SU
ˆ ˆ ˆˆ ˆ ˆ( , , ) ( ) ( ) ( ) ( )W x U x U x U x U x
2
6 1ˆˆReTr 1 ( , , )
3px
S W xg
0 2 4,
1( ( ))
4a a
p cont EuclidS S F x d x
continuum gauge field action
color fieldmatrix
M. Asakawa (Osaka University)
Why Monte Carlo Method?Why Monte Carlo Method? Expectation value of QCD observable (on the lattice)
lat p qS S S 1
[ , , ] [ , , ]
det
lat
plat
S
SSq
O U DUD D e O UZ
Z DUD D e DUe M
• Operator with Each Configuration is summed up with weight exp(-Slat)
• Each Link has 8 degrees of freedom (SU(3) gluon color)
Average over Configurations with Huge Degrees of Freedom!
Generate Gauge Field Configurations with weightexp(-Sp) or exp(-Sp+log(detMq)) if exp(-Sp) or exp(-Sp+log(detMq)) is Real
Monte Carlo Method
M. Asakawa (Osaka University)
Why Reweighting?Why Reweighting?
This is the case at =0, non-zero (SU(2)), but not the case at non-zero (QCD).
Generate Gauge Field Configurations with weightexp(-Sp) or exp(-Sp+log(detMq)) if exp(-Sp) or exp(-Sp+log(detMq)) is Real
Redefine weight and operator
With some applicability limit
0 0
( )
( ) ( ) ( )0
0
1e det ( )
1 det ( )e det ( ) e
det ( ) new weight
new operator
g
g g g
S
S S S
O DU M OZ
MDU M O
Z M
R
2
6( , , ),m
g
Glasgow Group, Fodor-Katz,...
M. Asakawa (Osaka University)
Systematic and Statistical ErrorsSystematic and Statistical Errors
Lattice Calculation is carried out with Finite Lattice Spacing a, Finite Lattice Volume V, quark mass m ≠ mphys
0 (continuum)
(infinite volume)
(chiral)phys
a
V
m m
Necessity of Extrapolations (origin of systematic errors)
Monte Carlo Method to evaluate O
Necessity to Generate Many Configurations (to reduce statistical errors)
as in usual integral
0( ) lim
xf x dx
x
f(x)
x
M. Asakawa (Osaka University)
Things not to doThings not to do
van Leeuwen for NA49, QM2002
Fixed lattice spacing a, m ≠ mphys
Fodor and Katz (2002)
M. Asakawa (Osaka University)
Order of Phase Transition at Order of Phase Transition at = 0= 0
3d O(4) scaling
tricritical point
3d Ising scaling
2nd order line: mud (ms*-ms)5/2
near the tricritical point
3d Z(3) Potts
Kanaya, QM2002
M. Asakawa (Osaka University)
Critical Endpoint in Effective ModelsCritical Endpoint in Effective Models
Compilation by Stephanov
Yazaki and M.A. NPA (1989)
Debut of CEP in QCD
M. Asakawa (Osaka University)
What is the evidence of strongly int. QGP?What is the evidence of strongly int. QGP?
Karsch, 2001
e rises quickly, while p increases slowly
Is this due to interesting physics?
• Models with Massive Quarks and Gluons...etc. • Some Hadronization Models before RHIC
Ultrarelativistic free gas e = 3p
e - 3p: interaction measure
M. Asakawa (Osaka University)
What is the “normal” behavior of e, p, e-3p?What is the “normal” behavior of e, p, e-3p?
Gyulassy, 2004
However, the definition of e and p has ambiguity
• On the Lattice, e and p are normalized to 0 at T = = 0
On the other hand, entropy density s has no ambiguity (s ~ deg. of freedom)
Even if s approaches the Stefan-Boltzmann value just above Tc,p does not approach pSB
In addition, e - 3p never vanishes!
At = 0,
0( ) ( )
( ) ( ) ( )
Tp T s t dt
e T Ts T p T
At Tc, p is continuous (from thermodynamics)
Thus, p cannot increase rapidly ! Hatsuda and M.A., 1997
M. Asakawa (Osaka University)
ExampleExample
4/e T
4( 3 ) /e p T4/p T
/Tc = 0.05
Hatsuda and M.A., 1997
Interaction Measure does not measure interaction !
M. Asakawa (Osaka University)
PLAN of the Second PartPLAN of the Second Part
What is Spectral Function? Why Spectral Function?
Necessity of MEM (Maximum Entropy Method)
• Models at Finite T/
• MEM Outline
• Importance of Error Analysis
Finite Temperature Results for J/ and c • Error Analysis
Statistical
Systematic
Hatsuda and M.A., PRL 2004
M. Asakawa (Osaka University)
0
20
/4 4 2 2
( , )(
3 1
production at )k T
A k kdN e e T
d xd k k e
Spectral FunctionSpectral Function
0/
' 0 /† 4'3
,
( , )0 0 (1 ) ( )
(2 )( )
0 :
: Boson(Fermion)
A Heisenberg Operator with some quan
n
mn
E TP T
mnn m
A k k en J m m J n e k P
Z
J
tum #
: Eigenstate with 4-momentum n
mn m n
n P
P P P
• Pretty important function to understand QCD
Dilepton production rate, Real Photon production rate, ...etc.
holds regardless of states, either in Hadron phase or QGP
Definition of Spectral Function
M. Asakawa (Osaka University)
CERES(NA45) AB dataCERES(NA45) AB data
M. Asakawa (Osaka University)
Hadron Modification in HI Collisions? Hadron Modification in HI Collisions?
Comparison with Theory (with no hadron modification)
Experimental Data
Mass Shift ? Broadening ? or Both ? or More Complex Structure ?
M. Asakawa (Osaka University)
Why Theoretically UnsettledWhy Theoretically Unsettled
Mass Shift(Partial Chiral Symmetry Restoration)
Spectrum Broadening(Collisional Broadening)
Observed Dileptons
Sum of All Contributions(Hot and Cooler Phases)
M. Asakawa (Osaka University)
Mass shift or Coll. broadening or Mass shift or Coll. broadening or -hole or...-hole or...
QCDSR
• Assumption for the shape of the spectral function
• Strongly depends on 4-quark condensates
Conventional Many Body Approach
• Model dependence
• How is the effect of chiral symmetry restoration taken into account?
M. Asakawa (Osaka University)
Lattice? But there was difficulty ...Lattice? But there was difficulty ...
† 3( ) ( , ) ' (0,0)D O x O d x
and are related by( )D ( ) ( ,0)A A
0( ) ( , ) ( )D K A d
What’s measured on Lattice is Correlation Function D()
However,
• Measured in Imaginary Time• Measured at a Finite Number of discrete points• Noisy Data Monte Carlo Method
2-fitting : inconclusive !
M. Asakawa (Osaka University)
Way out ?Way out ?
Example of 2-fitting failure
36.0
24 54 lattice
2 pole fit
by QCDPAX (1995)
M. Asakawa (Osaka University)
Difficulty on LatticeDifficulty on Lattice
0( ) ( , ) ( )
( ) ( )
D K A d
D A
Typical ill-posed problem
Problem since Lattice QCD was born
Thus, what we have is
Inversion Problem
continuousd i s c r e t enoisy
M. Asakawa (Osaka University)
MEMMEM
Maximum Entropy Method
successful in crystallography, astrophysics, …etc.
82@Y C
M. Asakawa (Osaka University)
( ( ))A a method to infer the most statisticallyprobable image given data
Principle of MEMPrinciple of MEM
[ ]| ] [[ | ]
[ ]
[ | ] : Probability of given
P Y X P XP X Y
P Y
P X Y X Y
Theoretical Basis: Bayes’ Theorem
In MEM, Statistical Error can be put to the Obtained Image
MEM
In Lattice QCD
In MEM, basically Most Probable Spectral Function is calculated
( ) 0A H: All definitions and prior knowledge such as
D: Lattice Data (Average, Variance, Correlation…etc. )
[ | ] [ | ] [ | ]P A DH P D AH P A HBayes' Theorem
M. Asakawa (Osaka University)
Ingredients of MEMIngredients of MEM
( )( ) ( ) ( ) log
( )
exp( )[ | ]
[ ],
S
SS
AA m A
m
SP A H m
Z
S d
Z e dA
R
such as semi-positivity, perturbative asymptotic value, …etc.
( ) ( ): Prior knowledge about m A RDefault Model
[ | ]P D AH 2
[ | ] exp( ) /-
LP D AH L Z
likelihood function
given by Shannon-Jaynes Entropy[ | ]P A H
For further details,Y. Nakahara, and T. Hatsuda, and M. A., Prog. Part. Nucl. Phys. 46 (2001) 459
( ) ( )max at A m
M. Asakawa (Osaka University)
Error Analysis in MEM Error Analysis in MEM (Statistical)(Statistical)
MEM is based on Bayesian Probability Theory
• In MEM, Errors can be and must be assigned• This procedure is essential in MEM Analysis
For example, Error Bars can be put to
2
11 2
2 1
1[ , ], ( )Average of Spectral Function in
II A A d
2 2
2 1
12
22 1
1
1[ ] ( ) ( ) [ | ]
( )
1 ( )
( ) ( ) ( )
( ) ( ) ( )
( )
[ ]
I II
I IA A
Nl
l l
A dA d d A A P A DH m
Q Ad d
A A
A A A
Q A S L
dAdA
A
Gaussian approximation
M. Asakawa (Osaka University)
Uniqueness of MEM SolutionUniqueness of MEM Solution
Unique if it exists !T. Hatsuda, Y. Nakahara, M.A., Prog. Part. Nucl. Phys. 46 (2001) 459
Ar A
r
only one local maximum many dimensional ridge
S - L if = 0 (usual 2-fitting)
The Maximum of S - L log(P[D|AH]P[A|H]) = log(P[A|DH])
M. Asakawa (Osaka University)
Result of Mock Data Analysis Result of Mock Data Analysis
N(# of data points)-b(noise level) dependence
M. Asakawa (Osaka University)
Nakahara, Hatsuda, and M.A.Prog. Nucl. Theor. Phys., 2001
Application of MEM to Lattice Data (T=0)Application of MEM to Lattice Data (T=0)
Resonance Physics has become possible on Lattice
M. Asakawa (Osaka University)
Parameters on Lattice at finite TParameters on Lattice at finite T1. Lattice Sizes
323 32 (T = 2.33Tc)
40 (T = 1.87Tc)
42 (T = 1.78Tc)
44 (T = 1.70Tc)
46 (T = 1.62Tc)
54 (T = 1.38Tc)
72 (T = 1.04Tc)
80 (T = 0.93Tc)
96 (T = 0.78Tc)
2. = 7.0, 0 = 3.5
= a/a = 4.0 (anisotropic)
3. a = 9.75 10-3 fm
L = 1.25 fm
4. Standard Plaquette Action
5. Wilson Fermion
6. Heatbath : Overrelaxation1 : 4
1000 sweeps between measurements
7. Quenched Approximation
8. Gauge Unfixed
9. p = 0 Projection
10. Machine: CP-PACS
a → a
a → a
time direction
spatial direction
Anisotropic Lattice
M. Asakawa (Osaka University)
Result for V channel (J/Result for V channel (J/))
J/ (p 0) disappearsbetween 1.62Tc and 1.70Tc
A() 2()
M. Asakawa (Osaka University)
Result for PS channel (Result for PS channel (cc))
c (p 0) also disappearsbetween 1.62Tc and 1.70Tc
A() 2()
M. Asakawa (Osaka University)
Statistical Significance Analysis for J/Statistical Significance Analysis for J/
Statistical Significance Analysis = Statistical Error Putting
T = 1.62Tc
T = 1.70Tc
M. Asakawa (Osaka University)
Statistical Significance Analysis for Statistical Significance Analysis for cc
Statistical Significance Analysis = Statistical Error Putting
T = 1.62Tc
T = 1.70Tc
M. Asakawa (Osaka University)
Dependence on Data Point Number (1)Dependence on Data Point Number (1)
N= 46 (T = 1.62Tc)V channel (J/)
Data Point # Dependence Analysis = Systematic Error Estimate
M. Asakawa (Osaka University)
Dependence on Data Point Number (2)Dependence on Data Point Number (2)
N= 40 (T = 1.87Tc)V channel (J/)
Data Point # Dependence Analysis = Systematic Error Estimate
M. Asakawa (Osaka University)
Summary and Perspectives (1)Summary and Perspectives (1)
It seems J/ and c (p = 0) remain in QGP up to ~1.6Tc
Sudden Qualitative Change between 1.62Tc and 1.70Tc
~34 Data Points look sufficient to carry out MEM analysis on the present Lattice and with the current Statistics (This is Lattice and Statistics dependent)
Physics behind is still unknown
Spectral Functions in QGP Phase were obtained for heavy quark systems at p = 0 on large lattices at several T
Both Statistical and Systematic Error Estimates have been carefully carried out
M. Asakawa (Osaka University)
Summary and Perspectives (2) Summary and Perspectives (2)
Thermodynamical Quantities : Sudden Increase of Degrees of Freedom at Tc
but,
Hadrons (or Strong Correlations) still exist at least up to T ~ 1.6 Tc
Hadronization seems to proceed through simple recombination of constituent quarks (RHIC data)
charmonia and lighter hadrons
But why does the constituent quark picture hold?
Further study neededfor better understanding of QGP and Hadronic Modes in QGP !