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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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  • Quark-Gluon Plasma Physics

5. Statistical Model and Strangeness 


    Prof. Dr. Klaus Reygers Heidelberg University SS 2017

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Strangeness production in hadronic interactions

    �2

    ⇤ = (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),

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Strangeness production in the QGP

    �3

    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)

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Strangeness enhancement: 
One of the earliest proposed QGP signals

    �4

    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

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Quark composition of the ideal QGP

    �5

    � = 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

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Fraction of strange quarks: A+A vs. e+e–, πp, and pp

    �6

    √ 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

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Strangeness Enhancement in Pb-Pb relative to p-Pb at √sNN = 17.3 GeV

    �7

    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.

    8

    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)

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Ξ/π and Ω/π enhancement in Pb-Pb at √sNN = 2.76 TeV

    �8

    -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

    3

  • 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?

    �9

    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

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Grand canonical ensemble:
Large volume limit of the canonical treatment

    �10

    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

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Statistical model 
(hadron gas, grand canonical ensemble)Partition function 
(particle species i):

    �11

    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

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    χ2 fit of the statistical models to LHC data

    �12

    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

  • 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

    �13

    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

  • 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

    �14

    (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

  • 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

    �15

    Braun-Munzinger, Stachel, Wetterich, 
PLB 596 (2004) 61

  • 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

    �16

    Significant increase in Ω/π with dNch/dη already in pp and p-Pb

  • QGP physics SS2017 | K. Reygers | 5. Statistical Model and Strangeness

    Even yields in e+e– are not so far from chemical equilibrium

    �17

    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

  • 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

    �18