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Alán Dávila for the STAR Collaboration WWND February, 8, 2011.

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Presentation on theme: "Alán Dávila for the STAR Collaboration WWND February, 8, 2011."— Presentation transcript:

1 Alán Dávila for the STAR Collaboration WWND February, 8, 2011

2 Outline Heavy ion collisions’ prior probes Jet finding algorithms used at STAR STAR preliminary jet measurements in central Au+Au collisions Recent background fluctuations studies Conclusions A. Dávila, U of Texas

3 Correlations Per final state charged hadron 2D particle correlations The width increases with centrality Same side model includes a 2D Gaussian The decreases… Un-triggered correlations see broadening but only in direction. A. Dávila, U of Texas Glauber Linear Superposition Peak Amplitude Peak η Width Peak φ Width 3

4 High Pt probes Parton kinematics are not directly measureable Use high P T particles as an approximation of the parton kinematics A. Dávila, U of Texas 4

5 High Pt probes Parton kinematics are not directly measureable Use high P T particles as an approximation of the parton kinematics Au+Au pp 0.15 GeV/c < < 4GeV/c A. Dávila, U of Texas Recoil low P T multiplicity and P T sum enhancement J. Adams et al. (STAR), Phys. Rev. Lett. 95, 152301 (2005) 4

6 High Pt probes Recoil high P T yield suppression Possible explanation: softening of jet fragments Parton kinematics are not directly measureable Use high P T particles as an approximation of the parton kinematics dAu Au+Au pp 0.15 GeV/c < < 4GeV/c A. Dávila, U of Texas Recoil low P T multiplicity and P T sum enhancement J. Adams et al. (STAR), Phys. Rev. Lett. 97, 162301 (2006) J. Adams et al. (STAR), Phys. Rev. Lett. 95, 152301 (2005) 4

7 Alternative probes of Heavy Ion collisions A) Triggering in high P T hadrons produces a surface bias (hadrons coming from partons that interact least with the medium) A Hadron Quark Gluon Gamma Jet A. Dávila, U of Texas 5

8 Alternative probes of Heavy Ion collisions A) Triggering in high P T hadrons produces a surface bias (hadrons coming from partons that interact least with the medium) B) Gamma- jets do not suffer such bias as the photon gets the original parton kinematics but they suffer of limited statistics. A B Hadron Quark Gluon Gamma Jet A. Dávila, U of Texas 5

9 Alternative probes of Heavy Ion collisions A) Triggering in high P T hadrons produces a surface bias (hadrons coming from partons that interact least with the medium) B) Gamma- jets do not suffer such bias as the photon gets the original parton kinematics but they suffer of limited statistics. C) A more generic way to probe the medium is to try to recover the original parton kinematics by full jet reconstruction. A BC Hadron Quark Gluon Gamma Jet A. Dávila, U of Texas 5

10 Jet Finding Algorithms STAR: kt, anti-kt from FASTJET package  collinear and infrared safe  NlnN time ( secs for ~ 1000 particles) A. Dávila, U of Texas  kt and anti-kt: sequential recombination algorithms  Give a jet area measure (important for Au+Au background estimations) JHEP 0804 (2008) 063 6

11 Jet reconstruction at STAR Charged particles from the TPC (protons, pions, kaons, e, …) Neutral particles from EMCAL (, gamma) No, neutrons, detected (<10% effect) Triggers used Jet Patch (P+P) High Tower We apply a P T cut of 0.2 GeV/c In track and towers Towers’ matched tracks are subtracted to avoid double counting : (-1.2,1.2) TPC BEMC Note: not at scale : A. Dávila, U of Texas 7

12 Jets in pp collisions Jets produced at STAR are well described by pQCD over several orders of magnitude. kt and anti-kt algorithms consistent with published STAR results with midpoint cone algorithm. A. Dávila, U of Texas B. I. Abelev et al. (STAR Collaboration), Phys. Rev.Lett. 97, 252001 (2006) 8

13 Going to Heavy Ions 200 GeV central Au+Au collisions: Underlying event interferes with the jet reconstruction. Per event background estimations and jet areas (FASTJET)are used to subtract the background at STAR. Event background: Active area : number of clustered soft particles within a jet over density of particles Background in HI collision is not uniform. A. Dávila, U of Texas Irresolution Non-gaussian 9

14 Going to Heavy Ions 200 GeV central Au+Au collisions: Underlying event interferes with the jet reconstruction. Per event background estimations and jet areas (FASTJET)are used to subtract the background at STAR. Event background: Active area : number of clustered soft particles within a jet over density of particles Background in HI collision is not uniform. A. Dávila, U of Texas First look: Background fluctuations assuming Gaussian distribution (Incorrect assumption) Irresolution Non-gaussian 9

15 Jet Spectrum in AuAu collisions at RHIC background corrected jet P T : The measured yield is convoluted with the irresolution function f: To obtain the real distribution requires deconvolution (unfolding). Event region to region fluctuations A. Dávila, U of Texas unfolding Pythia Pythia smeared Pythia unfolded simulation 10

16 Jet Spectrum in AuAu collisions at RHIC Full reconstructed jets yield at central AuAu collisions at STAR kt and anti-kt give similar results. Smaller resolution -> smaller yield A. Dávila, U of Texas Increased kinematics wrt single/di-hadron measurements! False jet yield estimated with Au+Au events randomized in azimuth (no jet-leading particles present) Background fluctuations approximated by Gaussian New progress on these points in succeeding slides 11

17 R AA A. Dávila, U of Texas R AA value is consistent with one for R = 0.4, but smaller for R = 0.2. The jet spectrum is not completely recovered. For N bin scaling, R AA = 1. Note: R AA -> 0.2 in the limit R -> 0.0 (single hadrons) 12

18 R(0.2)/R(0.4) Ratio of R = 0.4/R = 0.2 shows an increased suppression in AuAu compared to pp. This is suggestive of a broadening of jets in AuAu collisions. Increasing jet P T increases the ratio. Jets get more collimated in pp p+p √s=200 GeV A. Dávila, U of Texas G. Soyez, Private Communication 13

19 Jet-hadron correlations A. Dávila, U of Texas HT trigger jet axis Anti-kt R = 0.4 P T Jet trigger> 20 GeV/c P T cut > 2 GeV/c AuAu Jet-hadron correlations show broadening on the away side. For more on Jet-hadron correlations see A. Ohlson’s talk next 14

20 New progress on background Fluctuations Toy model Thermal distribution (no signal) Random in, The statistical distributions describe fluctuations as expected Clustered in a cone of R = 0.2 A. Dávila, U of Texas 15

21 New progress on background Fluctuations Generalized probe embedding Embed a known probe in a AuAu central event Reconstruct the jet that contains the probe in it Calculate irresolution: fitted with a gamma function High Pt tails Toy model Thermal distribution (no signal) Random in, The statistical distributions describe fluctuations as expected Clustered in a cone of R = 0.2 A. Dávila, U of Texas 15

22 Background Fluctuations does vary with jet area. is independent of fragmentation pattern Better understanding of background fluctuations Irresolution independent on fragmentation pattern A. Dávila, U of Texas 16

23 A. Dávila, U of Texas Differential jet shape: Average rate of change of P T at distance r from the jet axis Jet Shapes background r Jet Axis R Integrated Jet Shape Differential Jet Shape Single jet… Average over many jets … 17

24 A. Dávila, U of Texas Particles from the HI collision will contribute to P T (r), they will also move the jet axis: This effectively changes P T (r) too Blue jet particles Red HI background Not distinguishable in a jet by jet basis Differential jet shape: Average rate of change of P T at distance r from the jet axis Jet Shapes background r Jet Axis R Integrated Jet Shape Differential Jet Shape Single jet… Average over many jets … 17

25 A. Dávila, U of Texas Particles from the HI collision will contribute to P T (r), they will also move the jet axis: This effectively changes P T (r) too Blue jet particles Red HI background Not distinguishable in a jet by jet basis Differential jet shape: Average rate of change of P T at distance r from the jet axis Background subtraction Jet Shapes background r Jet Axis R Integrated Jet Shape Differential Jet Shape Single jet… Average over many jets … Ring P T Jet P T 17

26 A. Dávila, U of Texas Charged Particles Only ! Use generalized probe embedding to characterize the fluctuations  Embed Single 30 GeV/c pion in AuAu event this represents our truth signal  Run JFA and extract jet with embedded pion this is our measurement  Subtract background Jet area in denominator Ring area in numerator  Get the fluctuations in jet shape measurement Jet Shapes background 18

27 A. Dávila, U of Texas Charged Particles Only ! Use generalized probe embedding to characterize the fluctuations Single 30 GeV/c pions embedded Relative distance from jet axis Jet Shapes background Fluctuations increase with increased ring area area0.080.150.230.300.38 = 0.1 19

28 A. Dávila, U of Texas Charged Particles Only ! Use generalized probe embedding to characterize the fluctuations Single 30 GeV/c pions embedded Relative distance from jet axis Jet Shapes background Fluctuations increase with increased ring area area0.080.150.230.300.38 r/R = 0.349 projection Truth signal STAR Preliminary = 0.1 19

29 A. Dávila, U of Texas Jet Shapes background Fluctuations of the jet shape measurement close to the axis (small area) and close to the edge (bigger area) There is a clear dependence of the shape of the fluctuations on r. This is consistent with previous studies of fluctuations dependencies on jet area STAR Preliminary 20

30 Conclusions Preliminary jet measurements at STAR indicate jet profile broadening in 10% most central Au+Au collisions. The event region to region background fluctuations in central Au+Au events calculated by the generalized probe embedding are mostly independent of jet fragmentation pattern (single particle, quenched, unquenched). On the verge of applying all this knowledge in intra jet measurements (jet shapes, J T, intra jet momentum flow) Jets are a calibrated probe that can be used to expand current studies of the medium created in heavy ion collisions at RHIC A. Dávila, U of Texas

31 Backup STAR: kt, anti-kt from FASTJET package  collinear and infrared safe  NlnN time ( secs for ~ 1000 particles) In an event define and compute distances between particles and the beam Find minimum of the distances, if it is set as jet, otherwise merge i,j. Repeat kt -> p = 1 anti-kt -> p = -1 At STAR E-Scheme A. Dávila, U of Texas

32 Di jet yields comparison Di –jet: trigger jet + recoil jet R = 0.2/R = 0.4 ratio shows higher suppression than in the pp system. Deposition of Energy fires High Tower trigger Recoil Jet Trigger Jet Pt> 20 GeV/c A. Dávila, U of Texas Di-jet rates Au+Au/ p+p Measurements agree with the jet broadening scenario P T cut of 0.2, 2.0 GeV/c on tracks/towers for the recoil jets P T cut of 2.0 GeV/c for the trigger jets Bkg estimated from spectrum at azimuth wrt dijet axis

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