Jeffery T. Mitchell – WPCF 08 – 9/12/08 Jeffery T. Mitchell – WPCF 08 – 9/12/08 1 Searching for the QCD Critical Searching for the QCD Critical Point with Correlation and Point with Correlation and Fluctuation Measurements in Fluctuation Measurements in PHENIX PHENIX 4 4 th th Workshop on Particle Correlations and Workshop on Particle Correlations and Femtoscopy – 9/12/08 Femtoscopy – 9/12/08 Jeffery T. Mitchell Jeffery T. Mitchell (Brookhaven National Laboratory) (Brookhaven National Laboratory) for the PHENIX Collaboration for the PHENIX Collaboration Outline • Multiplicity Fluctuations • <p T > Fluctuations • <K/> Fluctuations • Correlation Length from Multiplicity Fluctuations • Azimuthal Correlations at Low p T
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Searching for the QCD Critical Point with Correlation and Fluctuation Measurements in PHENIX
4 th Workshop on Particle Correlations and Femtoscopy – 9/12/08 Jeffery T. Mitchell (Brookhaven National Laboratory) for the PHENIX Collaboration. Searching for the QCD Critical Point with Correlation and Fluctuation Measurements in PHENIX. Outline Multiplicity Fluctuations - PowerPoint PPT Presentation
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Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 11
Searching for the QCD Critical Point with Searching for the QCD Critical Point with Correlation and Fluctuation Measurements Correlation and Fluctuation Measurements
in PHENIXin PHENIX
44thth Workshop on Particle Correlations and Femtoscopy – 9/12/08 Workshop on Particle Correlations and Femtoscopy – 9/12/08Jeffery T. MitchellJeffery T. Mitchell
(Brookhaven National Laboratory)(Brookhaven National Laboratory)for the PHENIX Collaborationfor the PHENIX Collaboration
Outline
• Multiplicity Fluctuations
• <pT> Fluctuations
• <K/> Fluctuations
• Correlation Length from Multiplicity Fluctuations
• Azimuthal Correlations at Low pT
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 22
Divergent Quantities at the Critical PointDivergent Quantities at the Critical PointNear the critical point, several properties of a system diverge. The rate of the divergence can be described by a set of critical exponents. For systems in the same universality class, all critical exponent values are identical.
• The critical exponent for compressibility, :
)(C
cT T
TTk
• The critical exponent for heat capacity, :
)(0
C
c
T
T
T
TT
k
k )(
C
cV T
TTC
• The critical exponent for correlation functions, : )2()( dRRC(d=3)
)(
0C
c
T
T
T
TT
k
k )(
C
c
T
TT• The critical exponent for correlation length, :
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 33
Susceptibilities at the Critical PointSusceptibilities at the Critical PointConsider quark number susceptibility, q at the critical point.
q = <q†q> = ∂n(T,)/∂
This is related to the isothermal compressibility:
kT = q(T,)/n2(T,)
In a continuous phase transition, kT diverges at the critical point…
B.-J. Schaefer and J. Wambach, Phys. Rev. D75 (2007) 085015.
)(
C
cT T
TTk
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 44
22.5 GeV Cu+CuRed lines represent the NBD fits. The distributions have
been normalized to the mean and
scaled for visualization. Distributions measured for
0.2<pT<2.0 GeV/c200 GeV p+p
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 77
In a Participant Superposition Model, multiplicity fluctuations are given In a Participant Superposition Model, multiplicity fluctuations are given by:by:
NN = = nn + <N> + <N>NpNp
where where = = 22//. . NN = total fluctuation, = total fluctuation, nn = fluctuation of each source = fluctuation of each source
(e.g. hadron-hadron collision), (e.g. hadron-hadron collision), NpNp = fluctuation in number of sources = fluctuation in number of sources
(participants).(participants). After correcting for fluctuations due to impact parameter, After correcting for fluctuations due to impact parameter, NN = = nn
independent of centrality.independent of centrality. Multiplicity fluctuations are also dependent on acceptance:Multiplicity fluctuations are also dependent on acceptance:
nn = 1 – f + f = 1 – f + fnn
where f = Nwhere f = Nacceptedaccepted/N/Ntotaltotal. . nn = fluctuations from each source in 4 = fluctuations from each source in 4
Superposition model at 200 GeV taken from PHENIX measurements of 200 GeV p+p. The results agree with UA5 measurements in PHENIX’s pseudorapidity window.
Superposition model at 22 GeV taken from NA22 measurements in PHENIX’s pseudorapidity window.
Superposition model at 62 GeV taken from interpolation of UA5 results in PHENIX’s pseudorapidity window.
Multiplicity Fluctuations: Participant Superposition Model
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 88
Multiplicity Fluctuation ResultsMultiplicity Fluctuation ResultsBottom line: Near the critical point, the multiplicity fluctuations should exceed the superposition model expectation No significant evidence for critical behavior is observed.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 99
String Percolation ModelString Percolation Model
Slide by C. Pajares
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 1010
Scaled Variance: String Percolation ModelScaled Variance: String Percolation Model
String percolation provides a possible explanation for the decrease in the scaled variance with increasing centrality.
Shown in green are the direct predictions of the string percolation model for 200 GeV Au+Au, scaled down to the PHENIX acceptance.
Percolation still does not explain the plateau in the most peripheral Au+Au collisions.
L. Cunqueiro et al., Phys. Rev. C72 (2005) 024907.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 1111
Multiplicity Fluctuations: Elliptic FlowMultiplicity Fluctuations: Elliptic Flow• The elliptic flow contribution estimated using a simple model as follows:
• For each event, a random reaction plane angle is generated.
• A particle azimuthal distribution is sampled using the PHENIX measured values of v2 at the mean pT of each bin.
• The multiplicity within the PHENIX acceptance is recorded for each event and the fluctuations are determined.
• The resulting contributions can be as large as 20% and can explain the centrality-dependence of the fluctuations.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 1212
Charge and pCharge and pTT-Dependence-Dependence
If the pT-dependence is random, the scaled variance should scale with <N> in the same manner as acceptance:
pTpT = 1 – f + f = 1 – f + fpT,maxpT,max
As with acceptance, with no charge-dependent correlation, the scaled variance will scale:
+-+- = 1 – f + f = 1 – f + finclusiveinclusive
where f=0.5.
Within errors, no charge dependence of the fluctuations is seen for 200 GeV Au+Au.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 1313
CLAN ModelCLAN Model
The CLAN model was developed to attempt to explain the reason that p+p multiplicities are described by NBD rather than Poisson distributions.
Hadron production is modeled as independent emission of a number of hadron clusters, Nc, each with a mean number of hadrons, nc. These parameters can be related to the NBD parameters:
pTpT = (event-by-event p = (event-by-event pTT variance) – [(inclusive p variance) – [(inclusive pTT variance)/(mean multiplicity per event)], normalized by the variance)/(mean multiplicity per event)], normalized by the inclusive mean pinclusive mean pTT. Random = 0.0.. Random = 0.0.
pTpT is the mean of the covariance of all particle pairs in an is the mean of the covariance of all particle pairs in an event normalized by the inclusive mean pevent normalized by the inclusive mean pTT..
pTpT can be related to the inverse of the heat capacity. can be related to the inverse of the heat capacity.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 1616
<p<pTT> Fluctuations Survey> Fluctuations Survey
Features: pT increases with decreasing centrality. Similar trend to multiplicity fluctuations (2/2). Increases with increasing pT. Same behavior for all species, including 22 GeV Cu+Cu.
NOTE: Random fluctuations, pT=0.0.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 1717
<p<pTT> Fluctuations vs. Centrality> Fluctuations vs. CentralityThe magnitude of pT varies little as a function of sqrt(sNN) and species. In a simple model that embeds PYTHIA hard scattering events into inclusively
parametrized events, the jet fraction necessary to reproduce the fluctuations does not scale with the jet cross section.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 1818
<p<pTT> Fluctuations vs. Centrality> Fluctuations vs. CentralityAbove Npart~30, the data can be described by a power law in Npart,
independent of the pT range down to 0.2<pT<0.5 GeV/c: 10.002.1 partp N
T
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 1919
K to p fluctuations display a clear 1/Npart dependence
with the addition of a constant term,
while p to p fluctuationsappear flat and has
lower absolute values
Meson-meson (strangeness) and baryon-meson fluctuationsMeson-meson (strangeness) and baryon-meson fluctuations
K
K
K
KKKdyn
2
)1()1(),( 22
p
p
p
pppdyn
2
)1()1(),( 22
Au+Au@200GeV
Au+Au@200GeV
K to fluctuations display a clear 1/Npart dependence
with the addition of a constant term,
while p to fluctuationsappear flat and has
lower absolute values
Measuring particle ratio fluctuations should cancel the contributions due to volume fluctuations.
dyn = 0 No dynamical fluctuations. Independent of acceptance.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 2020
ppTT-Dependence-Dependence
The dependence on transverse momentum
is similar for K to (top) and p to (bottom),
weakly increasing with decreasing momentum,
but there is a large difference in absolute value.
PreliminaryPreliminary
Preliminary
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 2121
Extraction of Extraction of with multiplicity fluctuations with multiplicity fluctuations
/2
1212
2111212212
/),(
)()(),(),(
eC
C
2
/2
21
20 0 21212
21
)1/(2
),(
1)1(
)(
e
ddC
n
nnk
)(/2
1)(
k
Parametrization of two particle correlation
Exact relation with NBD k
Fit with approximated functional form
/ 2
1
2 12
2 1 1 1 2 12 2 12
),(
)()(),(),(
eC
C
absorbs rapidity independentbias such as centrality bin width
Look atslopes
10% 5%
k
Phys. Rev. C 76, 034903 (2007)
Approximatedfunctional form
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 2222
αξαξ, , ββ vs. N vs. Npartpart
β is systematically shift to lower values as the centrality bin width becomes smaller from 10% to 5%. This is understood as fluctuations of Npart for given bin widths
αξ product, which is monotonically related with χk=0 indicates the non-monotonic behavior around Npart ~ 90.
Significance with Power + Gaussian:3.98 σ (5%), 3.21 σ (10%)Significance with Line + Gaussian:1.24 σ (5%), 1.69 σ (10%)
||/ 2
12
10C
k TT
TT
βαξ
●5% ○10%
●5% ○10%
Npart
Au+Au@200GeV
Phys. Rev. C 76, 034903 (2007)
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 2323
Comparison of three collision systemsComparison of three collision systems
Au+Au@200GeV
Au+Au@200GeV
<c>/<c>@AuAu200
Normalized mean
multiplicity to that
of top 5% inAu+Au at 200 GeV
Npart~90 in AuAu@200GeVBJ~2.4GeV/fm2/c
Phys. Rev. C 76, 034903 (2007)
Phys. Rev. C 76, 034903 (2007)
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 2424
Azimuthal Correlations at Low pAzimuthal Correlations at Low pTT
• This study will quote correlation amplitudes in a given centrality, pT, and bin with no trigger particle determined using the mixed event method via:
• There is no trigger particle. All particle pairs are included in the correlation function calculation.
• Red dashed lines are fits to the following equation:
•Shown are results for the following systems:
• 200 GeV Au+Au
• 62.4 GeV Au+Au
• 200 GeV Cu+Cu
• 62.4 GeV Cu+Cu
• 22.5 GeV Cu+Cu
• 200 GeV d+Au
• 200 GeV p+p
)1()( C
Assuming that QCD belongs in the same universality class as the (d=3) 3-D Ising model, the expected value of is 0.5 (Reiger, Phys. Rev. B52 (1995) 6659 .
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 2525
• The blue line is a fit to a function with a v2 component, a near-side Gaussian at =0 and an away-side Gaussian at -D
• The dashed red line is the v2 component.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 3232
Near-Side Peak Amplitude vs. pNear-Side Peak Amplitude vs. pTT||<0.1
Points plotted in the center of each pT
bin.
|||<60|<60oo
• The pT bins have been chosen so that there are equal numbers of particles per event in each bin to offset the effects of statistical dilution of the correlation amplitudes.
• The Au+Au amplitudes for pT<1 GeV/c show a power law decrease with pT not seen in p+p or d+Au.
• The increase in amplitudes for pT>1 GeV/c are due to the onset of the jet peak.
Min. Bias 200 GeV p+p
Min. Bias 200 GeV d+Au
0-5% Central 200 GeV Au+Au
0-5% Central 62 GeV Au+Au
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 3333
Near-Side Peak Width vs. NNear-Side Peak Width vs. Npartpart200<pT,1<500 MeV/c, 200<pT,2<500 MeV/c
||<0.1
Weak centrality dependence on the near-side peak widths.
d+Au and Au+Au widths are narrower than p+p.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 3434
Location of the Displaced Away-Side PeakLocation of the Displaced Away-Side Peak
The location of the displaced peak at low pT shows little centrality dependence. The location deviates from that at high pT in more peripheral collisions.
Like-Sign Pairs
PHENIX Preliminary
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 3535
Consistent with or below the expectation of a participant superposition model based upon Consistent with or below the expectation of a participant superposition model based upon p+p data. No evidence for critical behavior seen.p+p data. No evidence for critical behavior seen.
<p<pTT> fluctuations:> fluctuations: Exhibit a universal power law scaling as a function of NExhibit a universal power law scaling as a function of Npartpart in central collisions. in central collisions. The magnitude of <pThe magnitude of <pTT> fluctuations as a function of sqrt(s> fluctuations as a function of sqrt(sNNNN) do not scale with the jet ) do not scale with the jet
production cross section.production cross section. Baryon-baryon and Meson-meson FluctuationsBaryon-baryon and Meson-meson Fluctuations
<K/<K/> fluctuations ~1/N> fluctuations ~1/Npartpart, <p/, <p/> fluctuations relatively flat with N> fluctuations relatively flat with Npartpart
Extraction of Extraction of αξαξ with Multiplicity Fluctuations at low p with Multiplicity Fluctuations at low pTT Possible non-monotonic behavior at Npart~90Possible non-monotonic behavior at Npart~90
Low-pLow-pTT Correlations Correlations:: The exponent The exponent extracted from the HBT peak is identical for all collision species. No extracted from the HBT peak is identical for all collision species. No
evidence of critical behavior is seen.evidence of critical behavior is seen. A displaced away-side peak is observed in azimuthal correlations at low pA displaced away-side peak is observed in azimuthal correlations at low pTT in Au+Au in Au+Au
collisions. collisions. Further studies of this phenomenon are underway.Further studies of this phenomenon are underway.
The analysis framework for measuring several critical exponents in RHIC collisions is in place Bring on a RHIC low energy scan!
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 3636
Auxiliary SlidesAuxiliary Slides
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 3737
The PHENIX DetectorThe PHENIX Detector
Although the PHENIX acceptance is traditionally considered small for event-by-event measurements, the acceptance is large enough to provide a competitive sensitivity to most
observables.
Acceptance:
|| ~ 0.35, ||~
Two “central arm” spectrometers anchored by drift chambers and pad chambers for 3-D track reconstruction within a focusing
magnetic field.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 3838
ppTT Fluctuations: Updating the Measure Fluctuations: Updating the Measure The consensus to quantify dynamical pThe consensus to quantify dynamical pTT fluctuations fluctuations
Define the quantity <Define the quantity <ppT,1T,1ppT,2T,2>.>. It is a covariance and an integral of 2-particle correlations.It is a covariance and an integral of 2-particle correlations. It equals zero in the absence of dynamical fluctuationsIt equals zero in the absence of dynamical fluctuations Defined to be positive for correlation and negative for anti-correlation.Defined to be positive for correlation and negative for anti-correlation.
Nevent = number of events
pt i = average pt for i th event
Nk = number of tracks for k th event
pt ,i = pt for ith track in event
and pt pt kk1
Nevent
/ Nevent and pt k
pt ,ii1
Nk
/ Nk
pt ,1pt ,2 1
Nevent
Ck
Nk Nk 1 k1
Nevent
where
Ck pt ,i pt pt , j pt j1,ij
Nk
i1
Nk
Then normalize as follows for a dimensionless quantity:
T
TTpT p
pp 2,1,
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 3939
Scaled Variance vs. URQMDScaled Variance vs. URQMD
URQMD gives similar results to HIJING Scaled variance decreases with centrality. Correction factors differ from HIJING by at most 10%. URQMD does not reproduce multiplicity as a function of centrality.
Jeffery T. Mitchell – WPCF 08 – 9/12/08Jeffery T. Mitchell – WPCF 08 – 9/12/08 4040
Correlation signal of the CEPCorrelation signal of the CEP
If the source distributionIf the source distribution at CEP is a Lévy, it decays as:at CEP is a Lévy, it decays as:
at CEP, the tail decreases as:at CEP, the tail decreases as:
hence:hence: & excitation of & excitation of as a function of as a function of = | T - T = | T - Tcc| / T| / Tcc
T. Cs, S. Hegyi, T. Novák, W.A.Zajc,T. Cs, S. Hegyi, T. Novák, W.A.Zajc,