Date post: | 15-Jan-2016 |
Category: |
Documents |
Upload: | rudolph-harrington |
View: | 219 times |
Download: | 0 times |
Hard Probesof the Quark Gluon Plasma
Lecture III: jets
Lectures at: Quark Gluon Plasma and Heavy Ion Collisions
Siena, 8-13 July 2013
Marco van Leeuwen, Nikhef and Utrecht University
2
Jets and parton energy loss
Motivation: understand parton energy loss by tracking the gluon radiation
Qualitatively two scenarios:1) In-cone radiation: RAA = 1, change of fragmentation2) Out-of-cone radiation: RAA < 1
3
Jets at LHCALICE
Transverse energy map of 1 event
Clear peaks: jets of fragments from high-energy quarks and gluons
And a lot of uncorrelated ‘soft’ background
4
Jet reconstruction algorithms
Two categories of jet algorithms:
• Sequential recombination kT, anti-kT, Durham
– Define distance measure, e.g. dij = min(pTi,pTj)*Rij
– Cluster closest
• Cone– Draw Cone radius R around starting point
– Iterate until stable ,jet = <,>particles
For a complete discussion, see: http://www.lpthe.jussieu.fr/~salam/teaching/PhD-courses.html
Sum particles inside jet Different prescriptions exist, most natural: E-scheme, sum 4-vectors
Jet is an object defined by jet algorithmIf parameters are right, may approximate parton
5
Collinear and infrared safetyIllustration by G
. Salam
Jets should not be sensitive to soft effects (hadronisation and E-loss)
- Collinear safe- Infrared safe
6
Collinear safety
Note also: detector effects, such as splitting clusters in calorimeter (0 decay)
Illustration by G. S
alam
7
Infrared safety
Infrared safety also implies robustness against soft background in heavy ion collisions
Illustration by G. S
alam
8
PbPb jet background
Cacciari et al
Background density vs multiplicity
- space filled with jetsMany ‘background jets’
Background contributes up to ~180 GeV per unit area
Statistical fluctuations remain after subtraction
Subtract background: App rawjetT
subjetT ,,
Jet finding illustration
9
Jet energy asymmetryCentrality
12
12
EEEE
AJ
AT
LA
S, a
rXiv:1
01
1.6
18
2 (P
RL
)
Jet-energy asymmetry Large asymmetry seen for central events
However:• Only measures reconstructed di-jets (don’t see lost jets)• Not corrected for fluctuations from detector+background• Both jets are intereracting – No simple observable
Suggests large energy loss: many GeV~ compatible with expectations from RHIC+theory
10
Studying the imbalanceC
MS
, arXiv:1102.1957
In Cone R<0.8 Out of Cone R>0.8
PYTHIA+HYDJET
CMS measured
tracks
jetTppmissT
)cos(//
,
Momentum imbalance restored by hadrons at large angle R>0.8 and
small pT < 2 GeV/c
11
Energy dependence of asymmetryC
MS
, arXiv:1202.5022
(Relative) asymmetry decreases with energyHowever: difference pp vs PbPb remains – energy loss finite at large E
12
-jet imbalance
CMS, arXiv:1502.0206Centrality
T
jetT
J pp
x -jet asymmetry
Advantage: is a parton: know parton kinematicsDisadvantage: low rate (+background 0→ )
Dominant contibution: qg → q
13
G. de Barros et al., arXiv:1208.1518
pT,jet< 20 GeV/c: No change with trigger pT
Combinatorial background
Hadron-triggered recoil jet distributions
pT,jet> 20 GeV/c: Evolves with trigger pT
Recoil jet spectrum
14
Remove background by subtracting spectrum with lower pT
trig:
Δrecoil =[(20-50)-(15-20)]
Reference spectrum (15-20) scaled by ~0.96 to account for
conservation of jet density
Background subtraction: Δrecoil
Unfolding correction for background fluctuations and detector response
Δrecoil measures the change of the recoil spectrum with pTtrig
15
Recoil jet yield ΔIAAPYTHIA ≈0.75, approx. constant with jet pT
R=0.4
Constituents: pT
const > 0.15 GeV/c
no additional cuts (fragmentation bias) on recoil jets
pp reference: PYTHIA (Perugia 2010)
Ratio of Recoil Jet Yield ΔIAAPYTHIA
16
R=0.4
Recoil Jet ΔIAAPYTHIA: R dependence
Similar ΔIAAPYTHIA for R=0.2 and R=0.4
R=0.2
No visible broadening within R=0.4
(within exp uncertainties)
17
Hadrons vs jets II: recoil
PR
L108 092301
Hadrons Jets
Hadron IAA = 0.5-0.6In approx. agreement with models; elastic E-loss would give larger IAA
Jet IAA = 0.7-0.8Jet IAA > hadron IAA
Not unreasonable
NB/caveat: very different momentum scales !
18
Measuring the jet spectrum
19
PbPb jet background
Toy Model
Main challenge: large fluctuations of uncorrelated background energy
Size of fluctuations depends on pT cut, cone radius
20
Background jetsRaw jet spectrum
Event-by-event background subtracted
Low pT: ‘combinatorial jets’- Can be suppressed by requiring
leading track- However: no strict distinction at
low pT possible
Next step: Correct for background fluctuations and detector effects by unfolding/deconvolution
21
Removing the combinatorial jets
Correct spectrum and remove combinatorial jets by unfolding
Results agree with biased jets: reliably recovers all jets and removed bkg
Raw jet spectrum Fully corrected jet spectrum
22
PbPb jet spectraCharged jets, R=0.3
Jet spectrum in Pb+Pb: charged particle jetsTwo cone radii, 4 centralities
M. Verweij@HP, QM
RCP, charged jets, R=0.3
Jet reconstruction does not‘recover’ much of the radiated energy
23
Pb+Pb jet RAA
Jet RAA measured byATLAS, ALICE, CMS
RAA < 1: not all produced jets are seen; out-of-cone radiation and/or ‘absorption’
For jet energies up to ~250 GeV; energy loss is a very large effect
ATLAS+CMS: hadron+EM jets
ALICE: charged track jets
Good agreementbetween experiments
Despite different methods:
24
, hadrons, jets compared, hadrons Jets
Suppression of hadron (leading fragment) and jet yield similarIs this ‘natural’? No effect of in-cone radiation?
25
Model comparison
M. Verweij@HP, QM2012
JEW
EL: K
. Za
pp et al, E
ur Ph
ys J C6
9, 617
U. Wiedemann@QM2012
Hadron RAAJet RAA
Schukraft et al, arX
iv:1202.3233
At least one model calculation reproduces the observed suppression Understand mechanism for out-of-cone radiation?
26
Predicts ΔIAA~0.4, below measured
JEWEL preliminary
Model comparison IAA
JEWEL: Zapp et al., EPJ C69, 617
JEWEL correctly describes inclusive jet RAA
27
Centrality and reaction plane biases:• finite, but only weak trigger pT dependence for high pT
trig
Jet trigger
Hadron trigger
Hadron trigger vs jet trigger
Hadron trigger: strong “surface bias”
maximizes recoil path length (T.Renk, private com.)
Full jet trigger: no geom. bias
partially cancelled by bkg fluctuations
T.R
enk, PR
C85 06490
8
28
Jet broadening: R dependence
Ratio of spectra with different R
Larger jet cone:‘catch’ more radiation Jet broadening
ATLAS, A. Angerami, QM2012
However, R = 0.5 still has RAA < 1– Hard to see/measure the radiated energy
29
Jet broadening: transverse fragment distributions
PbPbPbPb PbPbPbPb
CM
S P
AS
HIN
-12-013C
MS
, P. K
urt@Q
M12
Jet broadening: Soft radiation at large angles
30
Jet fragment distributionsPbPb measurement
Ratio to pp
Low pT enhancement:soft radiation
Intermediate z:depletion: E-lossNB: z is wrt observed Ejet ≠ initial Eparton
AT
LAS
M.R
ybar@Q
M12
M. Rybar@QM2012
31
Jet fragment distributions
Low pT enhancement:soft radiation
Intermediate z, pT:depletion: E-loss
CMS, Frank Ma@QM12
32
A consistent view of jet quenching
Consistent with 2010 result
Recall (2010 vs 2011):•Track pT > 4 GeV vs pT > 1 GeV•Leading vs inclusive jet•0-30% vs 0-10% and 10-30%
2010 data: arXiv:1205.5872arXiv:1205.5872
Change from
“ξ” to “pT”
Pb
Pb
– p
p (
1/G
eV
)
Broadening/excess at large r, low pT
(~2% of jet energy)
Narrowing/depletion at intermediate r, pT
No change at small r, high pT
Radius r
G. Roland@QM2012
33
A consistent view of jet quenching
Charged particles from pT =50-100 GeV:
z = pT(track)/pT(jet) = 0.4-0.6 < 1
Looking at the same parton pT range
Consistent message from charged hadron RAA, inclusive jet RAA and fragmentation functions!
PbPb fragmentation function = pp for ξ <1
G. Roland@QM2012
34
Direct photons
35
Early times: direct photons
Photons from initial scattering• Dominant at pT > few GeV• Small reinteraction prob
Thermal photons• Low-Q2 scatterings in HG, QGP• Thermal glow of hot matter
36
Direct photons at RHICP
HE
NIX
, PR
L 1
04
, 13
23
01
Idea: hot quark-gluon matter radiates photons which escape
Difficult measurement:• Large background 0 → • Thermal photons at low pT
Excess of photons seen at RHIC
37
Direct (thermal) photons at LHC
Method:• Measure /0
• Low pT: use conversions• Divide /0 by theory
expectation
pp: /0 agrees with NLO
PbPb: excess over NLO at low pT
Multiply by 0 to get spectrum
M. Wilde, ALICE, QM12
Also at LHC: low pT thermal photonsT ≈ 300 MeV
First measurement of low-pT (thermal) direct photons
at LHC
38
Summary• Jets: a new tool for parton energy loss measurements
– Large out-of-cone radiation (R = 0.2-0.4)• Energy asymmetry• RAA < 1• IAA < 1• Radial shapes
– Remaining jet is pp-like:• Fragment distribution at large z same as pp• RAA similar for jets and hadrons
– Most of the radition is at low pT
• Scale set by medium temperature?
• Direct photons– High pT: photon is a parton– Low pT: thermal (?) radiation in Pb+Pb
Most conclusions here are qualitative/phenomenologyWhat does this (quantitatively?) mean for the mechanism of energy loss?
39
Jets at LHC
ALICE
Large jet energies clearly visible above HI background
40
Jet imbalance calculationsQin, Muller, arXiv:1012.5280
Radiation plus evolution
Parton transport (brick)
Coleman-Smith, Qin, Bass, Muller, arXiv:1108.5662
MARTINI: AMY+MC
Young, S
chenke, Jeon, Gale, arX
iv:1103.5769
Several calculations describemeasured imbalance
Most natural approach: parton showers(MARTINI, qPYTHIA, qHERWIG, JEWEL)
Need to keep track of fragments;Leading particle approximations do not work
Cannot yet check consistency with leading hadrons…