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Medium Parameters in Jet Quenching. AMY. GLV. AdS/CFT. BDMPS. PQM. WHDG. ZOWW. DGLV. Jamie Nagle University of Colorado. Hard Probes 2008 Illa da Toxa, Galacia-Spain. ASW. p 0. Focus on published data in this talk - PowerPoint PPT Presentation
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1 Jamie Nagle
University of Colorado
GLV
ASW
AMY
BDMPSPQ
MZO
WW
DGLV
AdS/CFT
Hard Probes 2008Illa da Toxa, Galacia-Spain
Medium Parameters Medium Parameters in Jet Quenchingin Jet Quenching
WHDG
2
Uncertainties:
Type A = point-to-point uncorrelated
[statistics dominated]
Type B = point-to-point correlated
[energy scale, shower merging]
Type C = globally correlated (i.e. common multiplicative factor)
[Glauber nuclear thickness, p-p absolute normalization] Hard to reduce…
arXiv:0801.4020arXiv:0801.1665
Focus on published data in this talk
I view preliminary data with a healthy skepticism
Every RHIC published result on which a full quantitative analysis is to be performed needs to explicitly quote these
uncertainty contributions !
0
3
Methodology for inclusion of statistical and systematic uncertainties
Calculate the modified 2 as a function of the theory parameters set (p) for the optimal b (systematic Type B offset) and c (systematic Type C offset).
If the type A uncertainties scale the same as the data under systematic offsets, then one needs to rescale i.
Developed by Mike Tannenbaum and JLN
4
PQM (ASW w/ BDMPS Weights)
22
ˆ L
kq
T
q̂
Quenching Factor
Extra thanks to Constantin Loizides for providing the input curves
5
fm
2 GeV6.35.2
1.22.3 2.13ˆ q
Clear minimum in modified 2
1 std. dev.2 std. dev.
~
6
4~ˆˆ gqq pertfitted
RHIC
fm
GeV 0.9 3.1 n ˆ
2322
sscatters
22
TNL
kq c
mfp
DebyeT
MeV 300 T ,3N ,5.0 cs
PQM result implies very strong coupling (non-perturbative)
Even used to motivate AdS/CFT calculation
ˆ q SYM 3 / 2 3
4 5
4 T 3 26.68 SYM Nc T 3
Liu, Rajagopal, Wiedemann
MeV) 300(T 5.4ˆfm
GeV2 SYMq
RHIC data
sQGP
fm
2 GeV6.35.2
1.22.3 2.13ˆ q
7
“The fragility of high pT hadron spectra as a hard probe”
“The interaction of the hard parton with the medium appears to be much stronger than expected for perturbative interactions…”
4~ˆˆ gqq pertfitted
RHIC
8
q̂/75.0R AA
AA
AA
R
R2
ˆ
ˆ
q
q
If one measures RAA within ±10%, one determines q within ±20%, regardless of the q !
Surprised !?
^^
9
G-Y Qin et al., PRL 100, 072301 (2008)
“Once temperature evolution is fixed by the initial conditions and evolution [by 3+1 dimensional hydrodynamics], s is the only quantity which is not uniquely determined.”
AMY + Hydro
Note that within AMY, the coupling s is not just for the probe-medium, but also within the medium itself !
s
10
Clear minimum in modified 2
1 std. dev.2 std. dev.
Assuming AMY+Hydro is perfectly correct, then this is the constraint on s from the experimental
statistical and systematic uncertainties.
Coupling Constraint~
280.0 AMY 0.0330.024
016.0012.0s
MeV) 300(T 1ˆfm
GeV2 q
11
PQM <q> = 13.2 GeV2/fm +2.1- 3.2
^
GLV dNg/dy = 1400 +270- 150
WHDG dNg/dy = 1400 +200- 375
ZOWW 0 = 1.9 GeV/fm +0.2- 0.5
AMY s = 0.280 +0.016- 0.012
Constraints
Each constraint is assuming a perfect model with only one unknown parameter. Uncertainty is from experimental sources only !
RHIC data
sQGP?
RHIC data
QGP?
12
PQM <q> = 13.2 GeV2/fm +2.1- 3.2
^
GLV dNg/dy = 1400 +270- 150
WHDG dNg/dy = 1400 +200- 375
ZOWW 0 = 1.9 GeV/fm +0.2- 0.5
AMY s = 0.280 +0.016- 0.012
Constraints
Puzzling since WHDG has GLV radiative e-loss, but also collisional e-loss.
However, WHDG has no initial state scattering, and GLV has fixed single representative path length.
ZOWW has hard sphere geometry.
13
Strongly or Weakly Coupled ?
v2
pT (GeV/c)
R. Baier, A.H. Mueller, D. Schiff, D. Son, Phys. Lett. B539, 46 (2002).MPC 1.6.0, D. Molnar, M. Gyulassy, Nucl. Phys. A 697 (2002).
Perturbative parton cascade (MPC) and analytic results unable to describe bulk flow.
Does that contradict underlying AMY assumption with s = 0.28 ?
BAMPS with ggggg and s = 0.6 (but incorrect angular distribution)
Does this mean anything?
Jet quenching problem is critical to resolve, in particular, because of the
implications on the bulk medium itself.
Z. Xu, C. Greiner, H. Stöcker, arXiv: 0711.0961 [nucl-th]
14
5 models with 5 different assumptions about properties of the medium (which are not known a priori).
If after removing smoke screen from differing incorrect models of the geometry, etc., they all give equal agreement to RAA
Conclusion - We do not need more sensitive observables We do need more discriminating observables
- that already exist (!)- that can be measured in the future
However, the above summary is incomplete.
Theorists should be more discriminating (IMHO). Sometimes assumptions can be checked for self-consistency or by an extended calculation (e.g. of a term ignored). I am surprised by the lack of discussion of these details (e.g. Baier’s critique of PQM/ASW hep-ph/0605183).
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GLV
ASW
WHDG
AMY
BDM
PS
PQM
ZOW
W
DGLV
AdS/CFT
Data
What is an experimentalist to do?
16PHENIX: Phys. Rev. C76, 034904 (2007)
0
0
When preliminary data with higher statistics and better systematics are published, this should be much more constraining.
PQM calculations indicate steeper dependence with larger q
Somewhat smaller dependence. Most quenching models underpredict high pT v2.
Reaction Plane Dependence
^
PQM Calculation
17
Nagle Toy Energy Loss Model (NTELM)
Glauber geometry for parton paths. Constant dE/dx (varied in steps of +0.2 GeV/fm) Parton 2 path biased by high pT trigger particle 1
Thus, perhaps IAA (away side per trigger) will be more sensitive that RAA. Might also discriminate on fluctuations.
h
h
BDMPS – many soft scatteringsGLV – fewer harder scatterings
Dijet Observables
Parton 2 Path (fm)
Larger dE/dx
18
IAA fit has “sharper 2 concavity” than RAA, thus more sensitive.
Does it matter that the plot has a mis-label?
2 /d.o.f.
ZOWW Calculation (Jets and Dijets)
Yes it does !
19
However, IAA has steeper dependence on 0 than RAA.If equal data uncertainties, IAA should be more constraining.
2 /d.o.f.
This only utilizes statistical uncertainties. Re-do with full 2.~
20
Private Communication Peter Jacobs Estimated Type C Uncertainty ~ 7%
ZOWW Calculation
STAR PRL 97 (2006) 162301
std.) (2 std.) (1 9.2 ???0.9
???6.00
Constraint using zT > 0.4
std.) (1 9.1 1.03.00 Why is this different from ZOWW paper?
21
In the ZOWW paper, they only use the DAuAu as the constraint !
d-Au
Au-Au
Extra thanks to X.N. Wang for providing the input curves
22
What are the constraints?
Note the extremely low p-value.
However, if you only use DAuAu shouldn’t we include the NLO pQCD scale uncertainty?
If this theory uncertainty is included then magenta constraint
Does the scale uncertainty cancel in IAuAu (or RAuAu)?
IAA constraintDAA constraintDAA + scale uncertainty
23
~
0 [GeV/fm]
RA
A o
r I A
A 2 (total) –
2 (min)
~~
ZOWW Au-Au 0-5% CentralRAA (0 pT = 8 GeV), IAA (pTtrig = 8-15 GeV, zT = 0.75)
std.) (2 std.) (1 9.2 ???0.9
???6.00
std.) (2 std.) (1 1.9 0.70.6
2.05.00
24
PQM IAA Calculations
<q> [GeV2/fm]^
q̂
PQM Calculation
STAR PRL 97 (2006) 162301
25
~
<q> [GeV2/fm]^
RA
A o
r I A
A 2 (total) –
2 (min)
~~
PQM Au-Au 0-5% CentralRAA (0 pT = 8 GeV), IAA (pTtrig = 8-15 GeV, zT = 0.75)
std.) (2 std.) (1 2.13ˆ 6.35.2
1.22.3 q
std.) (2 std.) (1 9.5ˆ 3.21.7
3.19.0 q
26<q> [GeV2/fm]^
2 (total) –
2 (min)
~~
0 [GeV/fm]
RA
A o
r I A
A
2 (total) –
2 (min)
~~
RA
A o
r I A
A
Imagine there is one true parameter in-between.
The probability of the two measurements being offset from the expectations by 1.5 (or more), is 1.7%
Discriminating ? What do we learn ?
27
PQM <q> = 13.2 GeV2/fm +2.1- 3.2
^
GLV dNg/dy = 1400 +270- 150
WHDG dNg/dy = 1400 +200- 375
ZOWW 0 = 1.9 GeV/fm +0.2- 0.5
AMY s = 0.280 +0.016- 0.012
Serious Proposal (?):
Collect set of calculations from all of these models for RAA, IAA, RAA(), and IAA. Probably with data in hand most will be ruled out – or at least significant insights will be gained. Part of TECHQM?
AdS/CFT qSYM = 4.5 GeV2/fm ^
28
SummaryExperimental observations….
- Well understood method for inclusion of uncertainties
- Large p-p and d-Au data sets will improve IAA
- Publication of high precision RAA() and IAA are key
- Experiments need to quantify Type A, B, C uncertainties
Theoretical observations….
- Need to resolve fundamental disconnect about whether perturbative calculations describe parton energy-loss
- All calculations need realistic geometry, fluctuations, and running coupling
- theorists need to critically evaluate other theorists work
29
EXTRAS
30
31
STAR PRL 97 (2006) 162301
32
WHDG GLV
33
Straight Line Model (SLM)
Data is consistent with completely flat RAA inside the one standard deviation contour.
Better fit than any current theory calculation. All have somewhat steeper pT dependence than the data.