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Measurements of Jet Structure and Fragmentation from Full Jet Reconstruction in Heavy Ion Collisions at RHIC. Elena Bruna for the STAR Collaboration Yale University. Quark Matter 09, Knoxville 03/29 -04/04 2009. Our approach. Investigate Jet Fragmentation Functions in AuAu w.r.t. pp
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Measurements of Jet Structure and Fragmentation from Full Jet Reconstruction in Heavy Ion Collisions at RHIC Elena Bruna for the STAR Collaboration Yale University Quark Matter 09, Knoxville 03/29 -04/04 2009
Our approach • Investigate Jet Fragmentation Functions in AuAu w.r.t. pp • We use di-jets in triggered events: • “Trigger” jet: large neutral energy in single tower jet comes from surface – will test this ! • “Recoil” jet: away side of trigger jet jet travels thru the medium and suffers quenching – will test this! • Di-jet rates • If we can fully reconstruct jets, the di-jet rate in AuAu should not be suppressed – will test this! • If unbiased jet population, quenching modification of Fragmentation Function – will test this! “trigger” jet Elena Bruna for the STAR Collaboration - QM09 “recoil” jet
Trigger setup with the STAR e.m. calorimeter (EMC): • High Tower Trigger (HT): tower 0.05x0.05 (ηxϕ) with Et> 5.4 GeV • Data Set analyzed: • pp (2006): HT trigger events • AuAu (2007): HT trigger events, 0-20% central • Jet Finder Algorithm: Anti-kT (from FastJet package) • R=0.4 , |hjet|<1-R • charged particle pT (TPC), 0.1<pT<20 GeV/c • neutral tower Et 0.05x0.05 (ηxϕ) (EMC) • Hadronic correction • Electron correction for double counting Experimental setup for pp and AuAu [M. Cacciari, G. Salam, G. Soyez 0802.1188] Elena Bruna for the STAR Collaboration - QM09
~ 21 GeV STAR preliminary pt per grid cell [GeV] η ϕ Jet Finding in Heavy-Ion collisions • GOAL: Fully reconstruct jets in high-multiplicity environment • How to suppress background: • Reduce the jet area (in pp >80% of pT(Jet) in R<0.4) • Apply a pTcut,particle on tracks and towers before Jet Finding Elena Bruna for the STAR Collaboration - QM09 di-jet event pp √s=200 GeV STAR Preliminary
Event Background in AuAu r (GeV/area) • Event-by-event basis: • pT (Jet Measured) ~ pT (Jet) + r A ± s √A • r is the background energy per unit area • A is the jet area • r, A estimated from FastJet algorithm • Background energy in R=0.4 ~ 45 GeV • Substantial region-to-region • background fluctuations • Comparable in magnitude from FastJet • and naïve random cones⇒ significantly reduced by applying • a pTcut,particleon tracks and towers AuAu √s=200 GeV STAR Preliminary Multiplicity Elena Bruna for the STAR Collaboration - QM09 STAR Preliminary Background fluctuations [Gev] Rc
Background to di-jets in AuAu Trigger jet • Background di-jet rate = “Fake” + Additional Hard Scattering • Fake jets: • background particles clustered as jets • Additional hard scattering contribution in HI Collisions: • uncorrelated in Df w.r.t. Trigger jet (does not contribute in inclusive jet measurements) • Is estimated using “jet” spectrum at 90° to trigger jet • Use “jet” spectrum at 90° to correct for “fake” di-jets Trigger jet pT > 10 GeV Trigger jet pT > 10 GeV pTcut,particle = 0.1 GeV Au+Au HT 0-20% pTcut,particle=2 GeV Au+Au HT 0-20% Elena Bruna for the STAR Collaboration - QM09 p/2 STAR Preliminary STAR Preliminary di-jet
Towards Fragmentation Functions • GOAL: get a good energy estimate for recoil jet in AuAu • Two approaches: 1) Use trigger jet energy as proxy for recoil jet: • Trigger jet found with pTcut,particle on tracks and towers small background fluctuations • Energy of trigger jet used for FF in recoil jet (gamma-jet like approach) 2) The energy of recoil jet used • Recoil jet found with no pTcut,particle large background fluctuations • Use recoil jet energy after correcting for background fluctuations (unfolding) Elena Bruna for the STAR Collaboration - QM09 “trigger” jet HT trigger “recoil” jet
Fragmentation Functions Jet energy determination: R=0.4 large uncertainties due to background (further systematic evaluation needed) STAR Preliminary AuAu (Jet+Bkg) • In AuAu: • FF(Jet)=FF(Jet+Bkg)-FF(bkg) • Bkg estimated from charged particle spectra out of jets, rescaling to the area with R=0.7 AuAu (Bkg) high z low z Charged particle FF: R(FF)=0.7 Elena Bruna for the STAR Collaboration - QM09 xrec=ln( pT,Jet rec / pT,hadr) • pT Jet rec(trigger)>20 GeV & pTcut,particle=2 GeV
Trigger Jet Energy as a proxy? • Assumption: trigger jet in AuAu is equivalent to pp vacuum fragmentation (no large nuclear effects) • Shapes of spectra and FF are similar in pp and AuAu trigger jets not significantly modified • Trigger jet energy can be used as a proxy for recoil jet large uncertainties due to background (further systematic evaluation needed) Ratio of FF: AuAu/pp STAR Preliminary STAR Preliminary Elena Bruna for the STAR Collaboration - QM09 pT(trigger jet)>20 GeV Ptcut=2 GeV pT Jet rec(trigger)>20 GeV pTcut,particle=2 GeV Normalized spectra above 7 GeV for shape comparison Uncorrected spectra zrec=pT,hadr/pT,Jet rec (trigger) zrec=pT,hadr/pT,Jet rec (trigger)
R=0.4 R=0.7 Recoil Jet FF from 1st approach large uncertainties due to background (further systematic evaluation needed) • Energy of trigger jet used • pT Jet rec(trigger)>20 GeV & pTcut,particle=2 GeV • pT Jet rec(recoil)>25 GeV & pTcutparticle=0.1 GeV • CAVEAT: nuclear kT effect not taken into account, expected to be of the order 2-3 GeV STAR Preliminary large uncertainties due to background (further systematic evaluation needed) Trigger jet energy uncertainty Elena Bruna for the STAR Collaboration - QM09 zrec=pT,hadr/pT,Jet rec (trigger) STAR Preliminary No significant modification of FF of recoil jets with pTrec>25 GeV zrec=pT,hadr/pT,Jet rec (trigger)
2nd approach: “unfolding” method • Large background fluctuations in AuAu w/o pTcut,particle • Parameterized by Gaussian smearing with s=6 GeV in AuAu 0-20% • Solution: unfold background fluctuations and extract “true” spectrum allows to compare pp and AuAu • Data driven – model independent approach STAR Preliminary Simulation: Effect of bkg fluctuations on true jet spectrum Pythia jets Pythia+AuAu MB jets Elena Bruna for the STAR Collaboration - QM09
di-jet spectra from unfolding • Biased to extreme path length of recoil jets STAR Preliminary Elena Bruna for the STAR Collaboration - QM09 • Significant suppression seen • Indicates: • Energy shifts to larger cone radii (>0.4) • Some Jets “absorbed” STAR Preliminary
large uncertainties due to background (further systematic evaluation needed) R=0.4 R=0.7 Recoil Jet FF from unfolding • Energy of recoil jet used pTrec(trigger) > 10 GeV & pTcut,particle=2 GeV pTrec(recoil) > 25 GeV & pTcut,particle=0.1 GeV STAR Preliminary pt,rec(AuAu)>25 GeV ⇒ < pt,rec(pp)> ~ 25 GeV STAR Preliminary Elena Bruna for the STAR Collaboration - QM09 • No significant modification of FF of recoil jets with pTrec>25 GeV • Dominated by non-interacting jets?
large uncertainties due to background (further systematic evaluation needed) R=0.4 R=0.7 Recoil Jet FF: Lower Jet pT pTrec(trigger) > 10 GeV & pTcut,particle=2 GeV 20<pTrec(recoil)<25 GeV & pTcut,particle=0.1 GeV • Energy of recoil jet used 20<pt,rec(AuAu)<25 GeV ⇒ < pt,rec(pp)> ~ 18 GeV Elena Bruna for the STAR Collaboration - QM09 STAR Preliminary Reducing the jet energy indication of modification of FF
STAR Preliminary Summary • Evidence that di-jet rates are suppressed • Recover a fraction of the jet energy shift towards smaller energies • Do not reconstruct jet Biased jet population selected • pTrec(recoil)>25 GeV • No strong modification of FF (two approaches lead to a similar conclusion) • High-energy recoil jets are biased (non interacting) • 20<pTrec(recoil)<25 GeV • di-jet rates less suppressed • “Feed-down” from high-energy jets • More complete jet energy recovered • Indication of modification of FF Elena Bruna for the STAR Collaboration - QM09 pt,rec(AuAu)>25 GeV STAR Preliminary 20<pt,rec(AuAu)<25 GeV STAR Preliminary
Outlook • di-jets are a promising tool to study Jet Fragmentation Functions • Extreme selection: recoil jets have a longer in-medium path • Investigate further the systematics • Compare to quenching models (JEWEL, qPYTHIA, …) • How can we recover an unbiased jet population? • Look at larger radii • Look at di-jets in AuAu Min Bias • Change path length bias? • Investigate sub-jets / energy flow profile • Clustering/re-distribution of energy within the jet Elena Bruna for the STAR Collaboration - QM09
Extra slides Elena Bruna for the STAR Collaboration - QM09
Trigger jet: FF ratio Elena Bruna for the STAR Collaboration - QM09