Energy Dependence of Multiplicity Fluctuations in Heavy Ion - - PowerPoint PPT Presentation
Energy Dependence of Multiplicity Fluctuations in Heavy Ion - - PowerPoint PPT Presentation
Energy Dependence of Multiplicity Fluctuations in Heavy Ion Collisions Benjamin Lungwitz, IKF Universitt Frankfurt for the NA49 collaboration Outline Introduction Analysis of energy dependence Energy dependence of multiplicity
Benjamin Lungwitz, IKF Universität Frankfurt 2
Outline
- Introduction
- Analysis of energy dependence
- Energy dependence of multiplicity fluctuations
– Acceptance scaling – Model comparison
- Summary
Benjamin Lungwitz, IKF Universität Frankfurt 3
Motivation
- Anomalies in energy dependence seen at low SPS
energies -> hint for onset of deconfinement ?
- Models predict large fluctuations near onset of
deconfinement or critical point
(GeV)
NN
s 1 10
2
10 〉
+
π 〈 / 〉
+
K 〈 0.1 0.2
A+A: NA49 AGS RHIC
p+p
(GeV)
NN
s 1 10
2
10 T (MeV) 100 200 300
A+A: NA49 AGS RHIC): p p+p (
S
K
+
K
+
K
√sNN (GeV)
ω
?
Benjamin Lungwitz, IKF Universität Frankfurt 4
Centrality Selection
- Veto calorimeter -> projectile spectators,
number of projectile participants NP
Proj
- Target spectators not measured in NA49 !
Veto calorimeter VCAL EVeto≈(AProj - NP
Proj)*Ekin
NP
Proj
AProj
Benjamin Lungwitz, IKF Universität Frankfurt 5
Var(n)/<n>
0.5 1 1.5 2
negative
p+p Pb+Pb
PROJ P
N
50 100 150
System Size Dependence of n- Fluctuations
- NP
Proj experimentally fixed, NP Targ fluctuate
- Peripheral collisions: Large NP
Targ fluctuations may cause
large ω in forward hemisphere (e.g. mixing)
- Central collisions: NP
Targ fluctuations negligible
50 100 150 200 1 2 3 4 HSD UrQMD
Pb+Pb, 158 A GeV
ω ω ω ω
targ P
N
proj P
t
158A GeV
see talk of M. Rybczynski
see talk of M. Gorenstein,
- V. Konchakovskyi et al.
- Phys. Rev. C 73 (2006)
034902
Benjamin Lungwitz, IKF Universität Frankfurt 6
Track Selection
- Only hadrons in a limited forward acceptance (projectile
hemisphere) were selected (158A GeV: equal to M. Rybczynski)
– Safe acceptance (no problems with efficiency etc.)
158A GeV
y in cms system
50 100 150 200 250 300
[deg] φ
- 150
- 100
- 50
50 100 150
[GeV/c]
T
p
0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
- (pT, φ) cut:
- C. Alt et al.,
Phys.Rev.C70:064903, 2004
- y-cut:
20A – 80A GeV: 1<y<ybeam 158A GeV: 1.08<y<2.57
1.4<y<1.6
h-
) π y(
- 4
- 3
- 2
- 1
1 2 3 4 T
p
0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Benjamin Lungwitz, IKF Universität Frankfurt 7
NN
s 6 8 10 12 14 16 18 20 p 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2
small standard
Experimental Acceptance
- Strong energy dependence of experimental acceptance
– Difficult to compare different energies
- Small acceptance (1<y<(ybeam-1)/2+1) used to study
acceptance effects
h-
Benjamin Lungwitz, IKF Universität Frankfurt 8
Multiplicity Distributions
- Multiplicity distributions for
central collisions are significantly narrower than Poisson distribution !
all data are preliminary !
40A GeV
)
- N(h
10 20 30 40 50 60 70 200 400 600 800 1000 1200 1400 1600 )
- N(h
10 20 30 40 50 60 70 data/poisson 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 )
- N(h
60 80 100 120 140 160 180 100 200 300 400 500 600 700 800 )
- N(h
60 80 100 120 140 160 180 data/poisson 0.5 1 1.5 2
158A GeV h- at NP
Proj=195
black: data red: Poisson distribution
)
- N(h
1 2 3 4 5 6 7 data/poisson 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 )
- N(h
1 2 3 4 5 6 7 1000 2000 3000 4000 5000 6000 7000 8000
Pb+Pb Pb+Pb p+p
Benjamin Lungwitz, IKF Universität Frankfurt 9
Centrality Dependence at all Energies
Proj P
N 160 165 170 175 180 185 190 195 200 205 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2
Proj P
N 160 165 170 175 180 185 190 195 200 205 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2
Proj P
N 160 165 170 175 180 185 190 195 200 205 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2
Proj P
N 160 165 170 175 180 185 190 195 200 205 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2
Proj P
N 160 165 170 175 180 185 190 195 200 205 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2
- Not corrected for
resolution of veto calorimeter
- 190<NP
Proj<200
selected
20A GeV 30A GeV 40A GeV 80A GeV 158A GeV
h-
Benjamin Lungwitz, IKF Universität Frankfurt 10
Corrections and Biases
- Correction applied for finite size of centrality bins
in the order of 2%
- Known uncorrected biases:
– NP
Proj fluctuations due to finite Veto calorimeter
resolution (estimated to be <2%)
– A possible NP
Targ fluctuations contribution to projectile
hemisphere
- > They both increase fluctuations
bw=〈n〉 Var N P
Proj
〈 N P
Proj〉 2
Benjamin Lungwitz, IKF Universität Frankfurt 11
NN
s 6 8 10 12 14 16 18 20 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3
NN
s 6 8 10 12 14 16 18 20 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3
NN
s 6 8 10 12 14 16 18 20 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3
Energy Dependence of n- Fluctuations
- Scaled variance for h+, h- smaller than 1
- ω for h+- < 1 for low energies, ω+− > 1 for higher energies
- ω(p+p) ≈ ω(central Pb+Pb) at 158A GeV
h+ h- h+-
Note: different acceptance for different energies !
- nly statistical
errors shown
(GeV) (GeV) (GeV)
blue: Pb+Pb red: p+p
Benjamin Lungwitz, IKF Universität Frankfurt 12
Effect of Limited Acceptance
- Assuming no correlations in momentum space
- ω(4π) > 1 <=> ω(acc) > 1, ω(4π) < 1 <=> ω(acc) < 1
acc=41⋅pacc1
p(acc) 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 (acc) ω 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5
ρ π+ π-
- Formula (*) not valid if more than one
daughter particle of a decay is detected
– very few particles decay into 2 h- – many particles decay into h+ and h-
(*)
Benjamin Lungwitz, IKF Universität Frankfurt 13
Acceptance Scaling for h-
- Data comparable with acceptance scaling and no (or
weak) energy dependence of multiplicity fluctuations in 4π
p 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2
20A GeV 30A GeV 40A GeV 80A GeV 158A GeV
h-
<ω(4π)> ≈ 0.3
small and standard acceptance
Benjamin Lungwitz, IKF Universität Frankfurt 14
Statistical Model
- Grand canonical ensemble (no charge conservation):
– ω>1 for all energies
- Canonical ensemble (B,Q,S conserved):
– ω<1 for h+ and h- , ω crosses 1 for h+-
- Final state: resonance decays
NN
S 1 10
2
10
3
10
+
ω
0.2 0.4 0.6 0.8 1 1.2 1.4 AGS
SPS RHIC
Primordial GCE Final GCE Primordial CE Final CE
NN
S 1 10
2
10
3
10
- ω
0.2 0.4 0.6 0.8 1 1.2 1.4
AGS SPS RHIC
Primordial GCE Final GCE Primordial CE Final CE
NN
S 1 10
2
10
3
10
ch
ω
0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 AGS SPS RHIC
Primordial GCE Final GCE Primordial CE Final CE
see talk of M. Gorenstein,V. Begin
- M. Hauer et. al. nucl-th/0606036
h+ h- h+-
4π acceptance !
Benjamin Lungwitz, IKF Universität Frankfurt 15
NN
s 6 8 10 12 14 16 18 20 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3
data canonical model grand canonical model
NN
s 6 8 10 12 14 16 18 20 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3
data canonical model grand canonical model
Statistical Model and Data
- 4π values scaled down to exp. acceptance assuming no
correlations in momentum space (eg. due to resonance decays)
- Grand canonical model overpredicts fluctuations
- Canonical model works better, but its fluctuations are also too
high (energy conservation needed ?)
h+ h-
(GeV) (GeV)
Benjamin Lungwitz, IKF Universität Frankfurt 16
NN
s 6 8 10 12 14 16 18 20 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3
data Venus HSD
NN
s 6 8 10 12 14 16 18 20 ω 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3
data Venus HSD
String Hadronic Models: Venus, HSD
- HSD: works good for 20A – 40A GeV, but overpredicts data
at 80A and 158A GeV
- Venus overpredicts data for energies > 20A GeV
h+ h-
HSD: V. Konchakovski, priv. com.
(GeV) (GeV)
Benjamin Lungwitz, IKF Universität Frankfurt 17
NN
s 6 8 10 12 14 16 18 20 ω 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7
data Venus HSD
String Hadronic Models: Venus, HSD (2)
- All string hadronic models overpredict fluctuations of h+- for
energies > 20A GeV
h+-
(GeV)
Benjamin Lungwitz, IKF Universität Frankfurt 18
Summary
- Multiplicity fluctuations in central Pb+Pb collisions for h+, h-
and h+- at 20, 30, 40, 80 and 158A GeV were analysed
- ω− scales with p(acc) for h- at all energies
- > weak energy dependence of ω in 4π [ ω(4π) ≈ 0.3 ]
- ω+ and ω- smaller than 1 for all energies
- > Grand canonical ensemble does not work !
- Canonical statistical model shows similar trend as the data
but ω(data) < ω(CE)
- String hadronic models (Venus, HSD) work for lower
energies (20-40A GeV) but fail for higher (80-158A GeV)
Benjamin Lungwitz, IKF Universität Frankfurt 19
Backup
Benjamin Lungwitz, IKF Universität Frankfurt 20
Multiplicity Distributions
20 40 60 80 100 120 140
Nneg
10
- 3
10
- 2
0.1 P(Nneg)
Pb+Pb central Poisson
20 40 60 80 100 120 140
Nneg
Pb+Pb semi-periph. Poisson
2 4 6 8
Nneg
p+p Poisson
n=Varn 〈n〉 =〈n
2〉〈n〉 2
〈n〉
Used measure of fluctuations: scaled variance
[ =1 for Poissonian distribution ]
158A GeV
negative hadrons, NP
Proj fixed
NP
Proj=178
NP
Proj=39
Benjamin Lungwitz, IKF Universität Frankfurt 21
P
/A
Proj P
N 0.2 0.4 0.6 0.8 1 Var(n)/<n> 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
p+p C+C Si+Si Pb+Pb
Centrality and System Size Dependence
- Var(n)/<n> increases with decreasing centrality
- Approximate scaling in NP
Proj/AProj
NA49 preliminary
Projectile hemisphere
158A GeV
h-
Benjamin Lungwitz, IKF Universität Frankfurt 22
Different Extreme Reaction Scenarios
- Multiplicity fluctuations sensitive to reaction scenario
spectators fixed spectators fluctuate
NP
Targ fluctuations contribute in both
hemispheres (most statistical models) NP
Targ fluctuations contribute in target
hemisphere (most string hadronic models) NP
Targ fluctuations contribute in
projectile hemisphere
- M. Gazdzicki,
- M. Gorenstein
arXiv:hep-ph/0511058
selected phase space for analysis
Benjamin Lungwitz, IKF Universität Frankfurt 23
Proj P
N 50 100 150 200 Var(n)/<n> 0.5 1 1.5 2 2.5
Data: p+p Pb+Pb
String hadronic models: HSD UrQMD HIJING
String Hadronic Models
- String hadronic models shown (UrQMD, HSD, HIJING)
belong to transparency class
- They do not reproduce data on multiplicity fluctuations
HSD, UrQMD:
- V. Konchakovskyi et al.
- Phys. Rev. C 73 (2006)
034902 HIJING:
- M. Gyulassy, X. N. Wang
- Comput. Phys. Commun. 83
(1994) 307 Simulation performed by:
- M. Rybczynski
Projectile hemisphere
NA49 preliminary
h-
Benjamin Lungwitz, IKF Universität Frankfurt 24
Proj P
N 50 100 150 200 Var(n)/<n> 0.5 1 1.5 2 2.5 3 3.5
Data: p+p Pb+Pb
statistical model: transparency mixing reflection
Reflection, Mixing and Transparency
- Significant amount of mixing of particles produced by
projectile and target sources
Model calculation:
- M. Gazdzicki,
- M. Gorenstein
arXiv:hep-ph/0511058
NA49 preliminary