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Testing AdSCFT Drag and pQCD Heavy Quark Energy Loss

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Drag coefficient for a massive quark moving through a strongly coupled SYM plasma at uniform T ... Above a few GeV, quark production spectrum is approximately ... – PowerPoint PPT presentation

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Title: Testing AdSCFT Drag and pQCD Heavy Quark Energy Loss


1
Testing AdS/CFT Drag and pQCD Heavy Quark Energy
Loss
2
Motivation
  • Many heavy quark energy loss models
  • Hope to distinguish between two broad classes
  • Standard Model pQCD
  • AdS/CFT Drag
  • Comparison difficult
  • nontrivial mapping of AdS/CFT to QCD
  • predictions for LHC
  • Look for robust signal

3
pQCD Success at RHIC
(circa 2005)
  • Consistency RAA(h)RAA(p)
  • Null Control RAA(g)1
  • GLV Prediction TheoryData for reasonable fixed
    L5 fm and dNg/dydNp/dy

4
Trouble for wQGP Picture
  • wQGP not ruled out, but what if we try strong
    coupling?

5
Intro to AdS/CFT
  • Large Nc limit of d-dimensional conformal field
    theory dual to string theory on the product of
    d1-dimensional Anti-de Sitter space with a
    compact manifold

31 SYM
z 0
6
Strong Coupling Calculation
  • The supergravity double conjecture
  • QCD ? SYM ? IIB
  • IF super Yang-Mills (SYM) is not too different
    from QCD,
  • IF Maldacena conjecture is true
  • Then a tool exists to calculate strongly-coupled
    QCD in classical SUGRA

7
Qualitative AdS/CFT Successes
  • Mach wave-like structures
  • sstrong(3/4) sweak, similar to Lattice
  • h/sAdS/CFT 1/4p ltlt 1 h/spQCD
  • e- RAA p, h RAA e- RAA(f)

T. Hirano and M. Gyulassy, Nucl. Phys. A6971-94
(2006)
8
AdS/CFT Energy Loss Models
  • Langevin model
  • Collisional energy loss for heavy quarks
  • Restricted to low pT
  • pQCD vs. AdS/CFT computation of D, the diffusion
    coefficient
  • ASW model
  • Radiative energy loss model for all parton
    species
  • pQCD vs. AdS/CFT computation of
  • Debate over its predicted magnitude
  • ST drag calculation
  • Drag coefficient for a massive quark moving
    through a strongly coupled SYM plasma at uniform
    T
  • not yet used to calculate observables lets do
    it!

9
AdS/CFT Drag
  • Model heavy quark jet energy loss by embedding
    string in AdS space
  • dpT/dt - m pT
  • m pl1/2 T2/2Mq

10
Energy Loss Comparison
  • AdS/CFT Drag
  • dpT/dt -(T2/Mq) pT
  • Similar to Bethe-Heitler
  • dpT/dt -(T3/Mq2) pT
  • Very different from LPM
  • dpT/dt -LT3 log(pT/Mq)

11
RAA Approximation
  • Above a few GeV, quark production spectrum is
    approximately power law
  • dN/dpT 1/pT(n1), where n(pT) has some momentum
    dependence
  • We can approximate RAA(pT)
  • RAA (1-e(pT))n(pT),
  • where pf (1-e)pi (i.e. e 1-pf/pi)

12
Looking for a Robust, Detectable Signal
  • Use LHCs large pT reach and identification of c
    and b to distinguish between pQCD, AdS/CFT
  • Asymptotic pQCD momentum loss
  • String theory drag momentum loss
  • Independent of pT and strongly dependent on Mq!
  • T2 dependence in exponent makes for a very
    sensitive probe
  • Expect epQCD 0 vs. eAdS indep of pT!!
  • dRAA(pT)/dpT gt 0 gt pQCD dRAA(pT)/dpT lt 0 gt ST

eST 1 - Exp(-m L), m pl1/2 T2/2Mq
S. Gubser, Phys.Rev.D74126005 (2006) C. Herzog
et al. JHEP 0607013,2006
13
Model Inputs
  • AdS/CFT Drag nontrivial mapping of QCD to SYM
  • Obvious as aSYM const., TSYM TQCD
  • D 2pT 3 inspired as .05
  • pQCD/Hydro inspired as .3 (D 2pT 1)
  • Alternative l 5.5, TSYM TQCD/31/4
  • Start loss at thermalization time t0 end loss
    at Tc
  • WHDG convolved radiative and elastic energy loss
  • as .3
  • WHDG radiative energy loss (similar to ASW)
  • 40, 100
  • Use realistic, diffuse medium with Bjorken
    expansion
  • PHOBOS (dNg/dy 1750) KLN model of CGC (dNg/dy
    2900)

14
LHC c, b RAA pT Dependence
WH, M. Gyulassy, arXiv0706.2336
  • LHC Prediction Zoo What a Mess!
  • Lets go through step by step
  • Unfortunately, large suppression pQCD similar to
    AdS/CFT
  • Large suppression leads to flattening
  • Use of realistic geometry and Bjorken expansion
    allows saturation below .2
  • Significant rise in RAA(pT) for pQCD RadEl
  • Naïve expectations met in full numerical
    calculation
  • dRAA(pT)/dpT gt 0 gt
    pQCD dRAA(pT)/dpT lt 0 gt ST

15
An Enhanced Signal
  • But what about the interplay between mass and
    momentum?
  • Take ratio of c to b RAA(pT)
  • pQCD Mass effects die out with increasing pT
  • Ratio starts below 1, asymptotically approaches
    1. Approach is slower for higher quenching
  • ST drag independent of pT, inversely
    proportional to mass. Simple analytic approx. of
    uniform medium gives
  • RcbpQCD(pT) nbMc/ncMb Mc/Mb .27
  • Ratio starts below 1 independent of pT

RcbpQCD(pT) 1 - as n(pT) L2 log(Mb/Mc) ( /pT)
16
LHC RcAA(pT)/RbAA(pT) Prediction
  • Recall the Zoo

WH, M. Gyulassy, arXiv0706.2336 nucl-th
  • Taking the ratio cancels most normalization
    differences seen previously
  • pQCD ratio asymptotically approaches 1, and more
    slowly so for increased quenching (until
    quenching saturates)
  • AdS/CFT ratio is flat and many times smaller than
    pQCD at only moderate pT

WH, M. Gyulassy, arXiv0706.2336 nucl-th
17
Not So Fast!
  • Speed limit estimate for applicability of AdS
    drag
  • g lt gcrit (1 2Mq/l1/2 T)2
  • 4Mq2/(l T2)
  • Limited by Mcharm 1.2 GeV
  • Similar to BH LPM
  • gcrit Mq/(lT)
  • No Single T for QGP
  • smallest gcrit for largest T
  • T T(t0, xy0) (
  • largest gcrit for smallest T
  • T Tc

D7 Probe Brane
Q
Worldsheet boundary Spacelike if g gt gcrit
Trailing String Brachistochrone
D3 Black Brane
18
LHC RcAA(pT)/RbAA(pT) Prediction(with speed
limits)
WH, M. Gyulassy, arXiv0706.2336 nucl-th
  • T(t0) (O), corrections unlikely for smaller
    momenta
  • Tc (), corrections likely for higher momenta

19
Measurement at RHIC
  • Future detector upgrades will allow for
    identified c and b quark measurements
  • RHIC production spectrum significantly harder
    than LHC
  • NOT slowly varying
  • No longer expect
  • pQCD dRAA/dpT gt 0
  • Large n requires corrections to naïve
  • Rcb Mc/Mb

20
RHIC c, b RAA pT Dependence
WH, M. Gyulassy, arXiv0710.0703 nucl-th
  • Large increase in n(pT) overcomes reduction in
    E-loss and makes pQCD dRAA/dpT lt 0, as well

21
RHIC Rcb Ratio
pQCD
pQCD
AdS/CFT
AdS/CFT
WH, M. Gyulassy, arXiv0710.0703 nucl-th
  • Wider distribution of AdS/CFT curves due to large
    n increased sensitivity to input parameters
  • Advantage of RHIC lower T gt higher AdS speed
    limits

22
Conclusions
  • AdS/CFT Drag observables calculated
  • Generic differences (pQCD vs. AdS/CFT Drag) seen
    in RAA
  • Masked by extreme pQCD
  • Enhancement from ratio of c to b RAA
  • Discovery potential in Year 1 LHC Run
  • Understanding regions of self-consistency crucial
  • RHIC measurement possible

23
Conclusions
  • Year 1 of LHC could show qualitative differences
    between energy loss mechanisms
  • dRAA(pT)/dpT gt 0 gt pQCD dRAA(pT)/dpT lt 0 gt ST
  • Ratio of charm to bottom RAA, Rcb, will be an
    important observable
  • Ratio is flat in ST approaches 1 from below in
    pQCD E-loss
  • A measurement of this ratio NOT going to 1 will
    be a clear sign of new physics pQCD predicts
    2-3 times increase in Rcb by 30 GeVthis can be
    observed in year 1 at LHC
  • Measurement at RHIC will be possible
  • AdS/CFT calculations applicable to higher momenta
    than at LHC due to lower medium temperature

24
Backups
25
Geometry of a HI Collision
  • Medium density and jet production are wide,
    smooth distributions
  • Use of unrealistic geometries strongly bias
    results

S. Wicks, WH, M. Djordjevic, M. Gyulassy,
Nucl.Phys.A784426-442,2007
1D Hubble flow gt r(t) 1/t gt T(t) 1/t1/3
M. Gyulassy and L. McLerran, Nucl.Phys.A75030-63,
2005
26
Langevin Model
  • Langevin equations (assumes gv 1 to neglect
    radiative effects)
  • Relate drag coef. to diffusion coef.
  • IIB Calculation
  • Use of Langevin requires relaxation time be large
    compared to the inverse temperature

27
But Theres a Catch (II)
  • Limited experimental pT reach?
  • ATLAS and CMS do not seem to be limited in this
    way (claims of year 1 pT reach of 100 GeV) but
    systematic studies have not yet been performed

ALICE Physics Performance Report, Vol. II
28
LHC p Predictions
  • Our predictions show a significant increase in
    RAA as a function of pT
  • This rise is robust over the range of predicted
    dNg/dy for the LHC that we used
  • This should be compared to the flat in pT curves
    of AWS-based energy loss (next slide)
  • We wish to understand the origin of this
    difference

WH, S. Wicks, M. Gyulassy, M. Djordjevic, in
preparation
29
Asymptopia at the LHC
Asymptotic pocket formulae DErad/E a3
Log(E/m2L)/E DEel/E a2 Log((E T)1/2/mg)/E
WH, S. Wicks, M. Gyulassy, M. Djordjevic, in
preparation
30
K. J. Eskola, H. Honkanen, C. A. Salgado, and U.
A. Wiedemann, Nucl. Phys. A747511529 (2005)
A. Dainese, C. Loizides, G. Paic, Eur. Phys. J.
C38461-474 (2005)
K. J. Eskola, H. Honkanen, C. A. Salgado, and U.
A. Wiedemann, Nucl. Phys. A747511529 (2005)
31
Pion RAA
  • Is it a good measurement for tomography?
  • Yes small experimental error
  • Claim we should not be so immediately
    dis-missive of the pion RAA as a tomographic tool
  • Maybe not some models appear fragile

32
Fragility A Poor Descriptor
  • All energy loss models with a formation time
    saturate at some RminAA gt 0
  • The questions asked should be quantitative
  • Where is RdataAA compared to RminAA?
  • How much can one change a models controlling
    parameter so that it still agrees with a
    measurement within error?
  • Define sensitivity, s min. param/max. param
    that is consistent with data within error

33
Different Models have Different Sensitivities to
the Pion RAA
  • GLV
  • s lt 2
  • Higher Twist
  • s lt 2
  • DGLVElGeom
  • s lt 2
  • AWS
  • s 3

WH, S. Wicks, M. Gyulassy, M. Djordjevic, in
preparation
34
T Renk and K Eskola, Phys. Rev. C 75, 054910
(2007)
WH, S. Wicks, M. Gyulassy, M. Djordjevic, in
preparation
35
A Closer Look at ASW
The lack of sensitivity needs to be more closely
examined because (a) unrealistic geometry (hard
cylinders) and no expansion and (b) no expansion
shown against older data (whose error bars have
subsequently shrunk
(a)
(b)
K. J. Eskola, H. Honkanen, C. A. Salgado, and U.
A. Wiedemann, Nucl. Phys. A747511529 (2005)
A. Dainese, C. Loizides, G. Paic, Eur. Phys. J.
C38461-474 (2005)
36
Surface Bias vs. Surface Emission
  • Surface Emission one phrase explanation of
    fragility
  • All models become surface emitting with infinite
    E loss
  • Surface Bias occurs in all energy loss models
  • Expansion Realistic geometry gt model probes a
    large portion of medium

A. Majumder, HP2006
S. Wicks, WH, M. Gyulassy, and M. Djordjevic,
nucl-th/0512076
37
A Closer Look at ASW
  • Difficult to draw conclusions on inherent surface
    bias in AWS from this for three reasons
  • No Bjorken expansion
  • Glue and light quark contributions not
    disentangled
  • Plotted against Linput (complicated mapping from
    Linput to physical distance)

A. Dainese, C. Loizides, G. Paic, Eur. Phys. J.
C38461-474 (2005)
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