Ridges and Jets at RHIC and LHC
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Transcript of Ridges and Jets at RHIC and LHC
Ridges and Jets at RHIC and LHC
Rudolph C. HwaUniversity of Oregon
Quantifying Hot QCD Matter
INT UW
June, 2010
2
What is common between RHIC and LHC:
Partons have to hadronize at the end when density is low, no matter what the initial state may be.
Universal approach: parton recombination at all pT
at any initial energy
What is different:
Which partons recombine? Jet-jet reco at LHC.
Key point of this talk:
Late-time physics can affect our assumption about the nature of early-time physics
Have to understand RHIC data well, before projecting to LHC.
3
Introduction
Fragmentation
kT > pT
Hadronization
Cooper-Frye
k1+k2=pT
lower ki higher density
TT TS SS
Usual domains in pT at RHIC
pQCDHydro
low high
ReCo
intermediate
2 6pT
GeV/c
4
Regions in time
(fm/c)
1 8
hadronization
0.6rapid thermalization
hydro
Cronin effect: --- initial-state or final-state effect?
Early-time physics: CGC, P violation, …
Pay nearly no attention to hadronization at late times.
Cronin effect in pA is larger for proton than for ; it implies final-state effect (in ReCo), not hard-scattering+frag, not hydro.
An example of late-time physics affecting thinking about early-time physics:
Initial state scattering occurs even earlier.
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Large structure of Ridge --- PHOBOS
~ 4, pTtrig>2.5GeV/c
Referred to as “long-range” correlation on the near side
Before understanding that, we should understand single-particle distribution, summed over all charged and integrated over all pT
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PHOBOS
PRL 91, 052303 (03)
PHOBOS, PRL104,062301(10)
BRAHMS has dN/dy at fixed =0.4 GeV/cpT
Simpler scenario
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y is commonly identified with
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PHOBOS all charged
Proton contribution should not be ignored.
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BRAHMS PLB 684,22(10)
How is this difference to be understood?
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How much does it contribute to the distribution?
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Dusling, Gelis, Lappi, Venugopalan
arXiv: 0911.2720
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how one goes from initial-state to final state in one step
Early-time physics: CGC
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Ridge without detailed input on early-time physics
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First, we need to understand single-particle distribution in pT, , Npart, and ----before correlation.
Topics to be covered:
Hadronization
Ridges with or without trigger
Jets
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Hadron production at low pT in the recombination model
Recombination function
R (k1,k2 , pT ) k1k2
pT2(
k1 k2
pT
1)
q and qbar momenta, k1, k2, add to give pion pT
It doesn’t work with transverse rapidity yt
TT F(ki ) Cki exp( ki / T )dN
pT dpT
C 2
6exp( pT / T )
TTTdN p
pT dpT
N p
pT2
mT
exp( pT / T ) same T for partons, , p
empirical evidence
At low pT
phase space factor in RF for proton formation
Pion at y=0 p0 dN
dpT
dk1
k1
dk2
k2
Fqq (k1,k2 )R (k1,k2 , pT )
Proton at y=0
p0 dN p
dpT
dk1
k1
dk2
k2
dk3
k3
Fuud (k1,k2 ,k3)Rp (k1,k2 ,k3, pT )
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p
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PHENIX, PRC 69, 034909 (04)
went on to mT plot
dN p
pT dpT
N p
pT2
mT
exp( pT / T )
Proton production from recombination
Same T for , K, p --- in support of recombination.
Slight dependence on centrality --- to revisit later
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Ridge formation
associated particles
SS
trigger
TT ridge (R)ST
peak (J)
Mesons:Baryons: TTT in the ridge
Suarez QM08
B/M in ridge even higher than in inclusive distr.
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Jet and Ridge Yield
20-60% top 5%jet part, near-side
ridge part, near-side
jet part, near-side
ridge part, near-side
STAR Preliminary
3<pTtrig<4, 1.5<pT
assoc<2.0 GeV/c
Feng, QM08
In-plane
Out
-of-
plan
e
1
43
2
56s
Different s dependencies for different centralities --- important clues on the properties of correlation and geometry
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The medium expands during the successive soft emission process, and carries the enhanced thermal partons along the flow.
Hard parton directed at s , loses energy along the way, and enhances thermal partons in the vicinity of the path.
s
But parton direction s and flow direction are not necessarily the same.
s
Reinforcement of emission effect leads to a cone that forms the ridge around the flow direction .
If not, then the effect of soft emission is spread out over a range of surface area, thus the ridge formation is weakened.
Flow direction normal to the surface
Correlation between s and
C(x, y,s ) exp (s (x, y))2
2 2
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CEM
s
Correlated emission model (CEM)
Chiu-Hwa, PRC 79, 034901 (09)
; 0.33
STAR
Feng QM08
3<pTtrig <4
1.5 <pTassoc
<2 GeV/c
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Single-particle distribution at low pT (<2 GeV/c)
Region where hydro claims relevance --- requires rapid thermalization
0 = 0.6 fm/c
Something else happens even more rapidly
Semi-hard scattering 1<kT<3 GeV/c
Copiously produced, but not reliably calculated in pQCD t < 0.1 fm/c
1. If they occur deep in the interior, they get absorbed and become a part of the bulk.
2. If they occur near the surface, they can get out. --- and they are pervasive.
That was Ridge associated with a trigger
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Base, independent of , not hydro bulk
Ridge, dependent on , hadrons formed by TT reco
Correlated part of two-particle distribution on the near side 2
corr (1,2) 2J (1,2) 2
R (1,2)
Putschke, Feng (STAR) Wenger (PHOBOS)
trigger
assoc part
JET RIDGE
How is this untriggered ridge related to the triggered ridge on the near side of correlation measurement?
Ridge can be associated with a semihard parton without a trigger.
1(pT ,,b) B(pT ,b) R(pT ,,b)
?
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1
2
1
2
Two events: parton 1 is undetected thermal partons 2 lead to detected hadrons with the same 2
R(2 ) d1 2R (1,2 )
Ridge is present whether or not 1 leads to a trigger.
Semihard partons drive the azimuthal asymmetry with a dependence that can be calculated from geometry. (next slide)
If events are selected by trigger (e.g. Putschke QM06, Feng
QM08), the ridge yield is integrated over all associated particles 2.
Y R (1) d2 2R (1,2 )
R(2 ) 2R (1,2 ) Y R (1)
untriggered ridge triggered ridge yield
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Geometrical consideration for untriggered Ridge
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Ridge due to enhanced thermal partons near the surface
R(pT,,b) S(,b)nuclear density D(b)
For every hadron normal to the surface there is a limited line segment on the surface around 2
through which the semihard parton 1 can be emitted.
2 S(,b) dl
arc [w2 sin2 h2
cos2 ]1/2 d
h E(,1 w2 / h2 )
tan 1[h
wtan( )]
elliptical integral of the second kind
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b normalized to RA
Top view: segment narrower at higher b
Side view: ellipse (larger b) flatter than circle (b=0) around =0.
Hwa-Zhu, PRC 81, 034904 (2010)
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Single-particle distribution at low pT with Ridge
1(pT ,,b) B(pT ,b) R(pT ,,b) N(b)[e pT /T0 D(b)S(,b)r(pT ,b)]
After average over ,
1(pT ,b) N(b)[e pT /T0 D(b)S (b)r(pT ,b)]
T (b) 0.3(1 0.03b2 ) GeV
Compare with data that show exponential behavior
1(pT ,b) N(b)e pT /T (b)
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T0 T (b 2)
r(pT,b) can be determined; dependence comes only from S(,b);
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v2 can be calculated.
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S(1,b)
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Ridge yield with trigger at 1
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Feng QM08
s 1
Normalization adjusted to fit, since yield depends on exp’tal cuts
Normalization is not readjusted.
s dependence is calculated
S(,b) correctly describes the dependence of correlation
d2 2R (1,2 ) Y R (1)
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RAA(pT, , b) can be calculated with the dependence arising entirely from the ridge.
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art
Summary
dependencies in
Ridge R(pT,,b) v2(pT,b)=<cos 2 > yield YR() RAA(pT,,b)
are all inter-related --- for pT<2 GeV/c
Hwa-Zhu, PRC 81, 034904 (2010)
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JetsPHENIX 0903.4886
Need some organizational simplification. Clearly, and b are related by geometry.
pT>2 GeV/c
Dependence on and Npart
pT
Npart
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Nuclear medium that hard parton traverses
x0,y0
k
Dynamical path length
l (x0 , y0 ,,b) to be determined
Geometrical considerations
Average dynamical path length
(,b) dx0dy0 l (x0 , y0 ,,b)Q(x0 , y0 ,b)
Q(x0 , y0 ,b) TA (x0 , y0 , b / 2)TB (x0 , y0 ,b / 2)
d 2rsTA (rs
rb / 2)TB (
rs
rb / 2)
Probability of hard parton creation at x0,y0
Geometrical path length
(x0 , y0 ,,b) dtD[x(t), y(t)]
0
t1 (x0 ,y0 , ,b)
D(x(t),y(t))density (Glauber)
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Define
(,b) dP( ,,b)
It suggests that P(,,c) may depend on fewer variables.
P(,,b) dx0 dy0Q(x0 , y0 ,b)[ l (x0 , y0 ,,b)]
It contains all the information on the relationship between and b.
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(,c) looks universal, except for c=0.05 (no dep at c=0)
centrality
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Define
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KNO scaling
z / dz (z) 1 dzz (z) 1
For every pair of and c:
• we can calculate
• PHENIX data gives
(,c)
RAA (,c)
We can plot the exp’tal data
RAA ( )
(z) (,c)P(,,c)
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Scaling behavior in
Lines are results of calculation in RM.
Hwa-Yang, PRC 81, 024908 (2010)
5 centralities and 6 azimuthal angles () in one universal curve for each pT
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Complications to take into account:
• details in geometry
• dynamical effect of medium
• hadronization
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1
TSSS (pT ,,b) dq
q Fii (q,,b)H i (q, pT )
b
q
TS+SS recombination
G(k,q,) q (q ke )
degradation
hadronization
dNihard
kdkdyy0
fi (k)
Fi (q,) dkkfi (k)G(k,q,)
k probability of hard parton creation with momentum k
Fi (q,,b) dP( ,,b)Fi (q,)
geometrical factors due to medium
Nuclear modification factor
RAA (pT ,,c)
dNAA / dpT d
NcolldN pp / dpT
only adjustable parameter l (x0 , y0 ,,b)
xDi (x)
dx1
x1
dx2
x2
Sij (x1),Si
j '(x2
1 x1
)
R (x1, x2 , x)x pT / q
dNSS
pT dpT
(pT ,) 1
pT2
dq
qi Fi (q,)SSŽ (q, pT )
TSŽ (q, pT ) dq2
q2 Si
j (q2
q) dq1 Ce q1 /T R (q1,q2 , pT )
dNTS
pT dpT
(pT ,) 1
pT2
dq
qi Fi (q,)TSŽ (q, pT )
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Result of calculation in terms of
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exp( 2.6 ) is dimensionless
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Two-jet recombination at LHC
At kT not too large, adjacent jets can be so close that shower partons from two parallel jets can recombine.
H ii '(q,q ', pT ) 1
pT2
dq1
q1
dq2
q2
Sij (
q1
q)Si '
j '(q2
q ')R
(q1,q2 , pT )
At LHC, the densities of hard partons is high.
Two hard partons
dNAA2 j
pT dpT d1
2 j (pT ,,b)
dq
qdq '
q 'Fi (q
ii ' ,,b)Fi '(q ',,b)H ii '(q,q ', pT )
Fi (q,,b) dP( ,,b)Fi (q,)
12 j (pT ,,b) dd 'P(,,b) P( ',,b)1
2 j (pT ,, ')
12 j (pT ,, ')
dq
qdq '
q 'Fi (q
ii ' ,)Fi '(q ', ')H ii '(q,q ', pT )
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Overlap of two jet cones
Recombination of two shower partons from two jets
H ii '(q,q ', pT ) 1
pT2
dq1
q1
dq2
q2
Sij (
q1
q)Si '
j '(q2
q ')R
(q1,q2 , pT )
- probability for overlap of two shower partons from adjacent jets
R
(q1,q2 , pT ) R (q1,q2 , pT )
=10-3: 1-jet (S1S’1)
=10-1: 2-jet (S1S2)=10-m, m=1, 2, 3
same jet 1
different jets
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12 j (pT ,,b) dd 'P(,,b) P( ',,b)1
2 j (pT ,, ')
12 j (pT ,, ')
dq
qdq '
q 'Fi (q
ii ' ,)Fi '(q ', ')H ii '(q,q ', pT )
Go back to
, b are the same for the two jets, but and ’ are independent
’
For given , b there is only one (,b)
KNO scaling implies
12 j (pT ,,b) dzdz ' (z) (z ')1
2 j (pT , z, z ', (,b))
RAA (pT ,,b)
dNAA / pT dpT d(b)
Ncoll (b)dN pp / pT dpT
dNAA
pT dpT d(b) 1
TSSS (pT ,,b) 12 j (pT ,,b)Inclusive distribution
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Scaling
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Scaling badly broken
Hwa-Yang, PRC 81, 024908 (2010)
2 jet
Pion production at LHC
Observation of large RAA at pT~10 GeV/c will be a clear signature of 2-jet recombination.
>1 !
RAA (pT ,,b)
dNAA / pT dpT d(b)
Ncoll (b)dN pp / pT dpT 1
2 j (pT ,,b) / Ncoll2 scales
modest increase at 50-60% for 1-jet Ncoll for 2 jets N
coll
2
The admixture of ruins the scaling behavior. 11 j 1
2 j
34
Recombination (2 jets) vs fragmentation (1 jet)
pT~10 GeV/c
kT~20 GeV/c (1-j fragmentation)
gluon
p pT~10 GeV/c
kT>20 GeV/c (1-j fragmentation)
gluon
If pT>20 GeV/c, 2-j requires higher ki, whose density is lower; thus smaller reduces probability of recombination.
more probable
even more probable
k1
k2
(2-j recombination)
pT=k’1+k’2k’i
pT=k’1+k’2 +k’3 (2-j recombination)
k1
k2
k’i
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Hwa-Yang, PRL97,042301 (2006)
Production rates of p and are separately reduced, as pT is increased, but the p/ ratio is still >1 even up to pT~20 GeV/c
36
12 j (pT , (,c))If 2-jet dominates single-particle
inclusive at pT~10 GeV/c, then there are many such hadrons ( and p) at that pT at all .
Ridge
Using trigger at pTtrig ~ 10 GeV/c to find ridge
would involve subtraction of a huge background.If higher pT
trig ( > 30 GeV/c), then 1-jet dominates, and ridge is not expected (from RHIC).
11 j (pT , (,c))
~ 4 correlation at RHIC
It probably will be hard to find detectable ridge at LHC.
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1/N
tri g d
Nch
/d
Jet peak TS reco
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1BR
h (, pT ) dNBR
h
dpT dpT
J h (, pT )
pT2
Lh (, pT )VBRh (pT )
Longitudinal:
TransVerse:
X pT
s / 2cosh
z k1 / pTL (, pT ) dzz(1 z)F(zX)F((1 z)X)
V (pT ) C 2 pT2e pT /T
similarly for h=p
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BRAHMS, PRL 94,162301(05)
factorizble
Single-particle distribution
<pT> essentially independent of y
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2h1h2 (1, pt ;2 , pa ) 1
h1 (1, pt )1h2 (2 , pa )C2
h1h2 (1, pt ;2 , pa )
2h1h2 (1, pt ;2 , pa ) 1
h1 (trig)(1, pt )1BR
h2 (2 , pa )
C2h1h2 (1, pt ;2 , pa ) 1
h1 (trig)(1, pt )J h2 (2 , pa )
pa2
Lh2 (2 , pa )[VBRh2 (pa ) VB
h2 (pa )]
VRh2 (pa )
Ridge distribution per trigger
dNRh2
d(pa )
1
Ntrig
C2h1h2 (1, pt ;2 1 , pa )
1
pa2
J h2 (2 , pa )Lh2 (2 , pa )VRh2 (pa )
dNRch
d dpa
h2
pa
dNRh2
d(pa ) d10
1.5
dN ch
d2 2 1
ridge
no correlation in
correlation in transverse component --- ridge
Chiu-Hwa (preliminary)Two-particle distribution
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Correlation is in the transverse component, (ridge being TT+TTT reco) with negligible correlation between trigger 1 and associated 2
map 1(2) to dN/d: dN ch / d10
1.5
1ch ( 1)
PHOBOS
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Ntr
i g d
Nch
/d
Where is the long-range correlation that requires early-time physics?
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PHOBOS
1(trig)
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Conclusion
Hadronization and initial geometry are important to understanding RHIC and LHC physics
pT<2GeV/c
semihard partons ridge (TT reco) dependencepT>2GeV/c (RHIC): TS+SS reco scaling
pT~10GeV/c (LHC): 2j-SS reco scaling broken
Probably no ridge at higher pTtrig and pT
assoc at LHC.
1 and dN/d are related with no need for long-range correlation between (trig) and (ridge).