quark-gluon plasma physicsreygers/lectures/...a. andronic, arxiv:1407.5003v1 qgp physics ss2017 | k....
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Quark-Gluon Plasma Physics 5. Statistical Model and Strangeness
Prof. Dr. Klaus Reygers Heidelberg University SS 2017
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Strangeness production in hadronic interactions
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⇤ = (uds), ⌃ = (qqs), ⌅ = (qss), ⌦� = (sss)
Particles with strange quarks:
Creation in collisions of hadrons:
Example 1:
associated production of strangeness
Example 2: p + p ! p + p + ⇤+ ⇤̄, Q = 2m⇤ ⇡ 2230MeV
"hidden strangeness"
p + p ! p + K+ + ⇤, Q = m⇤ +mK+ �mp ⇡ 670MeV
K+ = (us̄), K� = (ūs), K 0 = (ds̄), K̄ 0 = (d̄s), � = (ss̄),
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Strangeness production in the QGP
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QQGP ⇡ 2ms ⇡ 200MeV
Q value in the QGP significantly lower than in hadronic interactions
This reflects the difference between the current quarks mass (QGP) and the constituent quark mass (chiral symmetry breaking)
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Strangeness enhancement: One of the earliest proposed QGP signals
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J. Rafelski, B. Müller, PRL 48 (1982) 1066
assumed typical lifetime of the plasma
strangeness per baryon
Strangeness equilibration was expected to be sufficiently fast
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Quark composition of the ideal QGP
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� = eµ/T
"Boltzmann approximation" (neglect "±1"): first term of the sum
Quarks: fermions ("upper sign"), mu = 2.2 MeV, md = 4.7 MeV, ms = 96 MeV,
In a QGP with μ = 0 and 150 < T < 300 MeV:
[But s-quarks eventually have to materialize as constituent quarks …]
Particle densities for a non-interacting massive gas of fermions (upper sign)/bosons (lower sign):
0.15 0.20 0.25 0.30
0.93
0.94
0.95
0.96
0.97
0.98
T (GeV)
2n s
n u+n d
2(ns + ns̄)
nu + nū + nd + nd̄⇡ 0.92–0.98
upper sign: fermions, lower sign: bosons
ni = gi4⇡
(2⇡)3
Z 1
0
p2 dp
exp
✓pp2+m2�µ
T
◆± 1
=gi2⇡2
m2T1X
k=1
(⌥1)k+1
k�kK2
✓km
T
◆
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Fraction of strange quarks: A+A vs. e+e–, πp, and pp
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√ s (GeV)
λ S
RHIC
SPSPbPb
AGSAuAu
K+p collisionsπ+p collisionspp collisionspp
– collisions
e+e- collisions
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1 10 102
103
�s =2hss̄i
huūi+ hdd̄i
ratio of newly created valence quark pairs before strong decays (ρ, Δ, …)
arXiv:0907.1031
“Wròblewski factor”, Acta Phys. Pol. B16 (1985) 379
Strangeness indeed enhanced in nucleus-nucleus collisions relative to e+e–, πp, and pp collisions
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Strangeness Enhancement in Pb-Pb relative to p-Pb at √sNN = 17.3 GeV
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1
10
Strangeness |S|
Enha
ncem
ent E
h- K0S Λ Λ–
Ξ Ξ–
Ω+Ω–
0 1 12 2 3
Figure 4: Strange particle enhancement versus strangeness content.
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0-40% Pb-Pb at √sNN = 17.3 GeV
Strangeness enhancement increases with s quark contents (up to factor 17 for the Ω baryon)
WA97, PLB 449 (1999) 401, CERN-EP/99-29
E =
✓Y
Npart
◆
Pb�Pb/
✓Y
Npart
◆
p�Pb
p-Be reference instead of p-Pb: similar behavior (NA57)
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Ξ/π and Ω/π enhancement in Pb-Pb at √sNN = 2.76 TeV
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-π++π-+K+K
-π++πpp+
0KΛ2
-π++π+Ξ+-Ξ
-π++π+Ω+-Ω d
dHe 3
-π++π HΛH+ Λ
-+K+Kφ
-+K+KK*+
0
0.2
0.4
1× 3× 0.5× 30× 250× 50× 100× 5 4 10× 2× 1×
ALICE Preliminary = 7 TeVspp = 5.02 TeVNNsp-Pb
V0A Multiplicity (Pb-Side) 0-5% = 2.76 TeV, 0-10%NNsPb-Pb
Extrapolated (Pb-Pb 0-10%)
Extrapolated (p-Pb 0-5%)
K/ p/ /K0 / / d/p He/d H/ /K K*/K3
Interestingly, φ/π very similar in pp, p-Pb, and Pb-Pb
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Particle yields from the hadron resonance gas■ Idea: Freeze-out of the QGP creates an equilibrated hadron resonance gas ■ The HRG then freezes out with a characteristic temperature Tch close to Tc
which determines the yields of different particle species ■ What is the appropriate statistical ensemble for the theoretical treatment?
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system S T, V, N
heat bath T
canonical ensemble: N and V fixed, energy E of the system fluctuates (Es + Eb = E, T is given)
grand-canonical ensemble: V fixed, energy E and particle number N fluctuate (T, μ given)
system S T, V, μ
heat bath T, μ
pp collisions, strangeness locally conserved
central A-A collisions, local strangeness fluctuations possible,“there is a medium”
Braun-Munzinger, Redlich, Stachel, nucl-th/0304013v1
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Grand canonical ensemble: Large volume limit of the canonical treatment
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Canonical suppression factor Fs:
nK : Density of particles with strangeness K = |S|, S =-1, -2, -3
Modified Bessel function of the first kind
nCK = nGCK · FS
FS =IK (2nGCK V )
I0(2nGCK V )
In :
A. Tounsi, K. Redlich, hep-ph/0111159
Already at moderately central Pb-Pb collisions the grand canonical ansatz is justified
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Statistical model (hadron gas, grand canonical ensemble)Partition function (particle species i):
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lnZi =Vgi2⇡2
Z 1
0±p2dp ln(1± exp(�(Ei � µi )/T ))
“-” for bosons, “+” for fermions
Particle densities: ni = N/V = �T
V
@ lnZi@µ
=gi2⇡2
Z 1
0
p2 dp
exp((Ei � µi )/T )± 1
For every conserved quantum number there is a chemical potential:
µi = µBBi + µSSi + µI3 I3,i
Use conservation laws to constrain V ,µs ,µI3strangeness:
charge:
baryon number:
X
i
niSi = 0 ! µs
VX
i
niBi = Z + N ! µB
VX
i
ni I3,i =Z � N
2! µI3
Only two parameters left (T, μB) Example: → determine (T, μB) for different √sNN from fits to data
gi = (2 Ji +1) spin degeneracy factorEi2 = pi2 + mi2
n(p̄)/n(p) = exp(�2µB/T )
Boltzmann approximation
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
χ2 fit of the statistical models to LHC data
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LHC, Pb–Pb, 0-10%9 [email protected]
y/d
NYi
eld
d
-410
-310
-210
-110
1
10
210
310
Data, ALICE, 0-10%=33.0/14)dfN/2χStatistical model fit (
3=5330 fmV=0 MeV, b
µ=156.0 MeV, T
=2.76 TeVNNsPb-Pb
+π -π +K -K s0K 0K* φ p p Λ-Ξ
+Ξ -Ω
+Ω d He3 HΛ
3 HΛ3
Dat
a/Fi
t
0.4
0.6
0.8
1
1.2
1.4
1.6=2.76 TeVNNsPb-Pb
Data, ALICE, 0-10%
σ(D
ata-
Fit)/
-3-2-1
012
33=5330 fmV=0 MeV,
bµ=156.0 MeV, TFit:
+π -π +K -K s0K 0K* φ p p Λ -Ξ +Ξ -Ω +Ω d He3 HΛ
3 HΛ
3
T = 156.0± 1.5 MeV, µB = 0± 2 MeV, V = 5330± 410 fm3
π, K±, K0 from charm included (0.7%, 2.6%, 2.9% for the best fit)
[ no p,p̄ in fit: T = 158+1−2 MeV, V = 5170+450−210 fm
3, χ2/Ndf=11.5/12 ]
■ Overall good agreement with data ■ T = 156 ± 1.5 MeV, μB = 0 ± 2 MeV, V = 5330 ± 400 fm3
Andronic, Braun-Munzinger, Stachel arXiv:1106.632, arXiv:1210.7724, arXiv:1311.4662, talk A. Andronic Trento
3σ deviation for protons and anti-protons
Statistical yields for primaries + feed-down from strong decay, e.g., ρ → π+π−, η → π+π−π0, φ → K+ K−
http://www.ectstar.eu/sites/www.ectstar.eu/files/talks/andronic_trento14.pdf
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
√sNN dependence of T and μB
■ Smooth evolution of T and μB with √sNN ■ T reaches limiting value of Tlim = 159 ± 2 MeV
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Energy dependence of T , µB (central collisions)4 [email protected]
40
60
80
100
120
140
160
180
1 10 102
103
√sNN (GeV)
T (M
eV)
fits of yields
dN/dy
parametrization4π
0
100
200
300
400
500
600
700
800
900
1 10 102
103
√sNN (GeV)
µB
(MeV
)
thermal fits exhibit a limiting temperature: Tlim = 159± 2 MeV
T = Tlim1
1+exp(2.60−ln(√sNN (GeV))/0.45)
, µB[MeV] =1307.5
1+0.288√sNN (GeV)
PLB 673 (2009) 142 ...with updates (Tlim was 164± 4 MeV)
update of PLB 673 (2009) 142
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
K/π ratio vs. √sNN
■ Maximum in K+/π+ (“the horn”) was discussed as a signal for the onset of deconfinement at √sNN ≈ a few GeV
■ However, in the GC statistical model the structure can be reproduced with T, μB that vary smoothly with √sNN
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(GeV)NNs10 210 310
dN/d
y ra
tio
0
0.05
0.1
0.15
0.2
0.25
0.3
+π/+K-π/-K
symbols: data, lines: thermal model
A. Andronic, arXiv:1407.5003v1
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Freeze-out points for √sNN ≳ 10 GeV from thermal model fits coincide with Tc from lattice calculations
■ What is the origin of equilibrium particle yields? ‣ General property of the
QCD hadronization process (“particle born into equilibrium”)
‣ Or does the hadron gas thermalizes via particle scattering after the transition?
■ Possible mechanism for fast thermalization after the transition: multi-hadron scattering resulting from high particle densities
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Braun-Munzinger, Stachel, Wetterich, PLB 596 (2004) 61
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Strangeness enhancement already in small systems: Multiplicity dependence of Ω/π in pp, p-Pb, and Pb-Pb
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Significant increase in Ω/π with dNch/dη already in pp and p-Pb
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Even yields in e+e– are not so far from chemical equilibrium
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Becattini, Castorina, Manninen, Satz, 0805.0964Statistical model + phenomenological factor γs < 1, reducing hadron yields by γsN where N is the number of strange quarks (or antiquarks)
T not so different from the one in central A+A
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QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness
Summary/questions strangeness
■ Strangeness is enhanced in A-A collisions relative to e+e– and pp ■ LHC: Strangeness enhancement in high-multiplicity pp collisions approaches
the enhancement in Pb-Pb ■ Origin of the strangeness enhancement? ‣ Collisional equilibration? ‣ Or "born into equilibrium"? ‣ Strange quark coalescence ("recombination")? ‣ Or something else?
■ Strangeness provides important information and probably points to QGP formation ‣ But why does the statistical approach also work to some degree in e+e– where
no QGP is expected? ‣ Better understanding of the mechanisms of strangeness enhancement is
needed
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