What Can be Learned from Identifying Leading Hadrons of Jets in STAR? Kolja Kauder for the STAR Collaboration.

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Presentation transcript:

What Can be Learned from Identifying Leading Hadrons of Jets in STAR? Kolja Kauder for the STAR Collaboration

Outline  Introduction / Motivation  Quark Gluon Plasma  Experimental Setup  Jets as Probes via 2D Correlation Analyses  Identifying Trigger Particles to Study Particle Production  Particle Identification Method  Results  Jet Cone Dilution by Background Triggers  Ridge (and Away-Side): Higher Harmonics  Summary and Outlook Feb 20132Kolja Kauder, LLWI 2013

Stages of a Heavy Ion Collision Feb 2013Kolja Kauder, LLWI  Quark Gluon Plasma:  Hot  Liquid  Strongly Interacting  Quark & Gluon DOF  Measured  ~400 nucleons

The STAR Detector Feb 20134Kolja Kauder, LLWI 2013 Au+Au, 200 GeV  Full azimuthal acceptance  Pseudorapidity acceptance |  |<1.8  Particle Identification

Tomography Feb 2013Kolja Kauder, LLWI Trigger associates  Dihadron Correlation  Selecting Trigger ID:  Jet Cone  “Ridge”  Away-Side STAR, PRL 91 (2003) % central 4 < p T,trig < 5 GeV/c 1.5 < p T,ssc < 4 GeV/c 4 < p T trig < 6 GeV/c 2 < p T assc < p T,trig d+Au 4 < p T,trig < 5 GeV/c 1.5 < p T,ssc < 4 GeV/c 0-10% central 4 < p T trig < 5 GeV/c 1.5 < p T assc < 4 GeV/c

Baryon vs. Meson Trigger Feb 20136Kolja Kauder, LLWI 2013  Between 1.5~5 GeV: Enhanced relative baryon yield  Well captured by recombination/ coalescence  Baryon trigger: Stronger Dilution? STAR, PRL 97 (2006)  a. u. Fragmentation + Recombination STAR, PLB 637 (2006) 161 Gluon contribution factor Albino et al. NPB 725 (2005) 181  AKK NLO FFs describe data well  At high p T :  Mesons bias toward q jets?  Color charge effect on energy loss?

Statistical Separation in Two Steps Feb 20137Kolja Kauder, LLWI 2013 Inclusive, raw n   > 0. 97% purity pion sample n   < 0  pion-depleted sample πKPπKP n   < 0  cleaned pure p+K sample 0-10% central 4 < p T trig < 5 GeV/c 1.5 < p T assc < 4 GeV/c n  π = (dE/dx - π prediction) /resolution nπnπ

2D Correlation  Big difference immediately visible with the naked eye:  Pion triggers: Small Ridge Large Cone  P+K triggers: Large RidgeSmall Cone Feb 2013Kolja Kauder, LLWI (P ± +K ± ) trigger  ± trigger Dilution? Need d+Au

2D Correlation – d+Au  No appreciable ridge  Cone is similar in d+Au  Signs of dilution are there, but subtle Feb 2013Kolja Kauder, LLWI (P ± +K ± ) trigger  ± trigger

2D Correlation  Jet Cone Yield:  : d+Au  Au+Au ~25% P+K:d+Au ~ Au+Au Feb 2013Kolja Kauder, LLWI (P ± +K ± ) trigger  ± trigger   increase instead of P decrease

Source of the Ridge Feb 2013Kolja Kauder, LLWI  Front runner:  Hydro: Initial State Anisotropy  Final State  Multitude of Ridge models  Radiation + Jet Quenching  Radiation + Longitudinal Flow  Phantom Jet  Turbulent Color Fields  Momentum Kick  Medium Heating and Parton Recombination ...  Ridge: Odd harmonics not negligible

Scaling of Fourier Coefficients Feb 2013Kolja Kauder, LLWI  Expect flow-like harmonics to scale with quark number  Non-Pions: P / K ratio also measured.  Indications that V 2 and V 3 scale differently Statistical errors only 0-10% central 4 < p T,trig < 5 GeV/c

Summary Feb 2013Kolja Kauder, LLWI  Identified Triggers  Jet Cone: Associated yield much larger for pion than proton+kaon triggers.  Signs of enhancement compared to d+Au  Ridge: Associated yield smaller for pions. Scaling behavior constrains models  Outlook:  Quantify comparison to ReCo  Proton-Kaon separation  Quark vs. Gluon Jets? Albino et al. NPB 725 (2005) 181 Gluon contribution factor

Feb 2013Kolja Kauder, LLWI