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Jet Analysis in Heavy-Ion Collisions
Elena Bruna
INFN Torino & Yale University
5th International School on QGP. Torino, March 2011
5th International School on QGP. Torino, March 2011
These (experimental) lectures won’t probably tell you everything you would ever wanted to know about jets…but I hope some of the young minds will be inspired and start/continue working on hard probes to turn over more stones…
“The same thrill, the same awe and mystery, come again and again when we look at any problem deeply enough. With more knowledge comes deeper, more wonderful mystery, luring one on to penetrate deeper still. With pleasure and confidence we turn over each stone to find unimagined strangeness.”
R. Feynman
Past, Present, Future…
Elena Bruna (Yale&INFN Torino) 3
LEPe+e-
RHIC
Pb+Pb @ √sNN=2.76 TeV
LHC
• Full jet reconstruction energy of the hard scattering but challenging in A+A• New jet-finding tools• Do physics with jets !
Elena Bruna (Yale&INFN Torino)
Outline
Jet I: Intro & Motivations
Jet II: Full Jet Reconstruction
Jet III: Results
Jet IV:The Present: from RHIC to LHC
Jets in high-energy collisions
6Elena Bruna (Yale&INFN Torino)
PDF Partonic x-section Fragmentation function
pQCD Factorization:
p pa, xa b, xbσab
c, x c
d, x d
Factorization: assumed between the perturbative hard part and the universal non-perturbative fragmentation (FF) and parton distribution functions (PDF)
Universality: fragmentation functions and parton distribution functions are universal (i.e. FF from ee, PDF from ep, use for pp)
Collins, Soper, StermanNucl. Phys. B263 (1986) 37
Jets in high-energy collisions
7Elena Bruna (Yale&INFN Torino)
PDF Partonic x-section Fragmentation function
pQCD Factorization: Collins, Soper, StermanNucl. Phys. B263 (1986) 37
QCD factorization works!
p + p 0
p+p √s=200 GeV
p + p
p + p p
p+p √s=200 GeV
Jets in high-energy collisions
8Elena Bruna (Yale&INFN Torino)
PDF Partonic x-section Fragmentation function
pQCD Factorization:
p pa, xa b, xbσab
c, x c
d, x d
Collins, Soper, StermanNucl. Phys. B263 (1986) 37
PDFs:
Probability for a parton a(b) to carry a fraction xa(xb) of the hadron momentum
Universal can be measured with fit to experimantal data for one or more processes that can be calculated with perturbative QCD, i.e. deep inelastic scattering DIS (like e-p), Drell-Yan processes (qq l+l-) and others
Many PDFs on the market (CTEQ, GRV, MRST,…)
Jets in high-energy collisions
9Elena Bruna (Yale&INFN Torino)
PDF Partonic x-section Fragmentation function
pQCD Factorization: Collins, Soper, StermanNucl. Phys. B263 (1986) 37
Hard scattering: dσ/dt = parton cross section calculable in powers of αS
LO
NLO
Jets in high-energy collisions
10Elena Bruna (Yale&INFN Torino)
PDF Partonic x-section Fragmentation function
pQCD Factorization: Collins, Soper, StermanNucl. Phys. B263 (1986) 37
z
Fragmentation Functions:probability to find, at scale Q, a hadron h with a fraction z of the parton c momentum
universal and measured with fits to experimental dataMany D on the market (KKP, AKK, …)
p(hadron)p (parton)z =
parto
n
Jets in Nucleus-Nucleus collisions
Elena Bruna (Yale&INFN Torino) 11
Detector
Self-generated“hard” probes
Calibrated LASER/x-ray
Hard processes make perturbative QCD applicable high momentum transfer Q2
Jet Tomography!
Hard processes scale as Nbin
Jets in Nucleus-Nucleus collisions
Elena Bruna (Yale&INFN Torino) 12
jet energy loss in the medium
Questions:1) How does the parton lose energy?2) What happens to the radiated energy?3) Collisional energy loss?4) Does the energy loss depend on the parton type?
Eloss ~ ρgluon (gluon density)Eloss ~ ΔL2 (medium length) [~ ΔL with expansion]Egluon > Equark, m=0 > Equark, m>0
Important to measure E of gluons light heavy quarks…
Transport coefficient: q = 2 / is the <pT2> transferred from the parton to a
gluon per unit path length
^
Interpretation: Gluon radiation
Jets in Nucleus-Nucleus collisions
Elena Bruna (Yale&INFN Torino) 13
Eskola, Honkanen, Salgado, WiedemannNucl Phys A747 (2005) 511
q = 5 – 15 GeV2 / fm from RHIC RAA Data ^
Some Predictions: FF
Elena Bruna (Yale&INFN Torino) 14
in je
i j t
t
n e
: increases
z : decreases
chn
Gyulassy et al., nucl-th/0302077
Energy loss in the medium softer fragmentation
Borghini and Wiedemann, hep-ph/0506218
ξ stretches the low z part
Renk, Phys. Rev. C79:054906,2009
z=ph/pjet
ph
pjet
Some Predictions: Jet shapes
Elena Bruna (Yale&INFN Torino) 15
If energy loss by gluon radiation broadening of the jet energy profile
Energy loss ratio goes down with larger b.
Energy loss ratio becomes smaller withsmaller R and larger ωmin.
Limit of large R and ωmin=0 no out-of-cone energy ΔEin~E
I Vitev, S Wicks, B-W Zhang,JHEP 0811,093 (2008); EPJC 62, 139 (2009).
R = jet radius (on η-ϕ plane) =√(Δϕ2+Δη2)ωmin (pT
min) = minimum pT on particles in the jet
Some Predictions: Jet shapes
Elena Bruna (Yale&INFN Torino) 16
I Vitev, S Wicks, B-W Zhang,JHEP 0811,093 (2008); EPJC 62, 139 (2009).Vitev, Zhang, PRL 104 (2010) 132001, arXiv: 0910.1090
Limits: • small Rmax and large ωmin single particlesuppression.• large Rmax and small ωmin all jet energy recovered RAA
jet=1 ! (jet production is hard process,
scales as Nbin)
Some Predictions: Jet shapes
Elena Bruna (Yale&INFN Torino) 17
I Vitev, S Wicks, B-W Zhang,JHEP 0811,093 (2008); EPJC 62, 139 (2009).Vitev, Zhang, PRL 104 (2010) 132001, arXiv: 0910.1090
Limits: • small Rmax and large ωmin single particlesuppression.• large Rmax and small ωmin all jet energy recovered RAA
jet=1 ! (jet production is hard process,
scales as Nbin)
Jet quenching from single high-pT hadrons
Elena Bruna (Yale&INFN Torino) 18
Observations at RHIC:
1.Large suppression of high-pT hadrons: factor ~ 52.Photons are not suppressed• They don’t interact with the medium (good!)• Nbin scaling works
Jet quenching from single high-pT hadrons
Elena Bruna (Yale&INFN Torino) 19
Observations at RHIC:
1.Large suppression of high-pT hadrons: factor ~ 52.Photons are not suppressed• They don’t interact with the medium (good!)• Nbin scaling works3. Also Heavy Flavor is suppressed at RHIC•same as light quarks•role of bottom?•collisional energy loss/resonant elastic scattering?
Elena Bruna (Yale&INFN Torino) 20
Jet quenching from single high-pT hadronsRHIC suppression < LHCRHIC: high pT hadrons hadronize from quarks LHC: from gluons (larger color charge!)
Prediction: Vitev(hep-ph/050322v1)• GLV – pQCD factorization • medium-induced gluon brems.
ALICE, Phys. Lett. B 696 (2011) 30.
Jet quenching from di-hadrons
Elena Bruna (Yale&INFN Torino) 21
Start from a high-pt “trigger” particle and look on the away side (in ).
Azimuthal correlation function shows ~complete absence of “away-side” jetPartner in hard scatter is absorbed in the dense medium
not the case in d+Au final state effect
Jet quenching from di-hadrons
Elena Bruna (Yale&INFN Torino) 22
Start from a high-pt “trigger” particle make azimuthal correlation
~complete absence of “away-side” jetPartner in hard scatter is strongly interacting with the dense medium
not the case in d+Au final state effect !
Path-length dependence of di-jet topologies
y
x
Out-of-plane
in-plane
Back-to-back suppression out-of-plane stronger than in-plane
Jet quenching from di-hadrons
Elena Bruna (Yale&INFN Torino) 23
STAR, Phys.Rev.C82 024912 (2010)
increasing pTtrig
incre
as
ing
pT
ass
oc
Jet quenching from di-hadrons
Elena Bruna (Yale&INFN Torino) 24
STAR, Phys.Rev.C82 024912 (2010)
increasing pTtrig
incre
as
ing
pT
ass
oc
At high trigger pT:
• re-emergence of away-side jet (punch thru)? or• tangential jets?
At low trigger pT & low pTassoc:double bump:• Mach Cone – conical emission?• Cherenkov Radiation?• pure 3D hydro? [won’t discuss this]
Trigger and Surface BiasesExperiments online-trigger dependent:
• Large pT or energy deposition triggers bias towards hard fragmentation!
• EM calorimetry bias towards large EM fraction
Elena Bruna (Yale&INFN Torino) 25
Trigger particles biased toward the surface Surface bias, as seen in hydro models
High pT: towards jets
Elena Bruna (Yale&INFN Torino) 26
What we have so far:• Suppression of high-pT hadrons in A+A (at RHIC and LHC) w.r.t. p+p • Evidence for parton energy loss in the medium
But:• Geometrical bias: dominated by surface jets• Jet energy not constrained• Limited kinematic reach
What we want:• Precise measurement of the parton energy loss• Measurement of the modified fragmentation function
How?
Renk and Eskola, hep-ph/0610059
ALICE, Phys. Lett. B 696 (2011) 30.
1. -Jet• Jet energy well constrained
• limited kinematic reach (x-sec scales as αSαem)• Difficult to have a clean measurement of photons
High pT: towards jets
Elena Bruna (Yale&INFN Torino) 27
z = p(h)/pparton
p ≠pparton
Leading
Hadron
E = pparton
Di-Hadron
How?
Courtesy Thomas Ullrich
Direct -hadron fragmentation functions
Elena Bruna (Yale&INFN Torino) 28
STAR, Phys. Rev. C 82 (2010) 34909
Trig particle= or 0
Assoc particle: h±
1. Good agreement w/ theory models2. more assoc h± for than for different parton energies for and
(come from fragmentation of higher energy parton)
1. Au+Au: different path-length for the recoil jet for and and triggers
Direct -hadron fragmentation functions
Elena Bruna (Yale&INFN Torino) 29
IAA= ratio of associated yield per trigger in Au+Au to that in p+p
8<Etrig<16 GeV/c
1. IAA < 1 for zT>0.32. data can distinguish between different
theoretical models3. low zT: expected differences between
and IAA due to path-length dependence of the energy loss
Trig particle= or 0
Assoc particle: h±
Measurements do not indicate path-length or color-charge dependence !
1. -Jet• Jet energy well constrained
• limited kinematic reach (x-sec scales as αSαem)• Difficult to have a clean measurement of photons
High pT: towards jets
Elena Bruna (Yale&INFN Torino) 30
z = p(h)/pparton
E = pparton
Ejet = pparton
How?
Courtesy Thomas Ullrich
1. -Jet• Jet energy well constrained
• limited kinematic reach (x-sec scales as αSαem)• Difficult to have a clean measurement of photons2. Full Jet Reconstruction • Larger kinematic reach• large background complex and challenging !
Jets: Theory vs Experiment
Elena Bruna (Yale&INFN Torino) 32
Experiment: jet = spray of collimated hadrons
GOAL: measure the parton energy in experiments do jet physics!
Tool: Full jet reconstruction with jet-finding algorithms
• for both Theory and Experiment !
Theory (pQCD): jet = High-pT parton produced in hard scatterings, or the closest object to a parton
Theoretical requirements
Elena Bruna (Yale&INFN Torino) 33
y
pT cone iteration
Jet 1
y
pT
Jet 1
Jet 2Collinear safety replaces one parton by two at the same place the algorithm should be insensitive to any collinear
radiation. Infrared safety a soft emissions that add very soft gluon the jet-finding algorithm should not be sensitive to soft radiation
Experimental requirements
• Detector independence: the performance of the jet algorithm should not be dependent on detector segmentation, energy resolution, …
• Stability with luminosity: jet finding should not be strongly affected by multiple hard scatterings at high beam luminosities.
• Fast
• Efficient: the jet algorithm should find as many physically interesting jets as possible, with good energy resolution CDF
34Elena Bruna (Yale&INFN Torino)
Jet Finding algorithms
Sequential Recombination Cone
kT CDF JetClu, MidPoint
Anti-kT D0 Cone
Cambridge - Aachen CMS Iterative Cone
ATLAS Cone
PyCell
SISCone
Particles are combined into jets• the larger experimental coverage, the betterWhich particles? The measured ones: • charged tracks (TPC)• neutral towers (EMC)• charged energy (Hcal)Different ways of combining particles jet-finding algorithms
35
Review of CDF Jet Algorithms, arXiv:hep-ex/0005012v2FastJet JHEP 0804:005, arXiv:0802.1188FastJet JHEP 0804, 063 (2008), arXiv:0802.1189v2
Elena Bruna (Yale&INFN Torino)
Sequential Recombination
36
If dij<kTi-2 merged
If dij>kTi-2 not merged
call it a jet
kTi,j= particle transverse momentum (pT)kT: p>0 (soft particles merged first)Anti-kT: p<0 (hard particles merged first)R=resolution parameter
Elena Bruna (Yale&INFN Torino)
€
dij = min(kTi2p,kTj
2p )(Δy ij2 + Δφij
2) /R2
Example: Anti-kT
Blue = highest pT particle
η
ϕ
-1 +10
2π
kT vs anti-kT
• ALL particles are clustered into “jets”• kT not bound to a circular structure• Anti-kT circular shape, “cone” radius ~R parameter
– Expected to be less sensitive to background/“back reaction” (it starts from high-p T particles) ideal choice in heavy-ion collision
• Recombination algorithms are collinear and infrared safe
37
FastJet M. Cacciari, G. Salam, G. Soyez 0802.1188
Elena Bruna (Yale&INFN Torino)
R matters!
The choice of R depends on• The system we are looking at (e+e-, pp, AuAu, PbPb,…)• Tradeoff: don’t want to loose too much out-of-cone
radiation (corrections for hadronization become difficult) but want to have a small background in the jet area
p+p 200 GeVSTAR Preliminary
In pp: ~80% of jet energy within R=0.4 for 20 GeV jets
42Elena Bruna (Yale&INFN Torino)
Elena Bruna (Yale&INFN Torino) 43
Jets in Heavy-Ion Collisions at RHIC and LHC
Central Au+Au √sNN=200 GeV
ETjet ~ 21 GeVSTAR EMC + tracking data
STAR preliminary
Central Pb+Pb√sNN=2.76 TeVALICE tracking data
Why measure jets in heavy ion collisions? [inclusive, di-jets, jet-hadron, -jet,..]• Access kinematics of the binary hard-scattering• Characterize the parton energy loss in the hot QCD medium− modified fragmentation, energy flow within jets, quark vs gluon jet difference− flavor and mass dependence• Study medium response to parton energy loss – establish properties of the medium