Flow and Jet-correlation ShinIchi Esumi Univ. of Tsukuba

1. Flow and Jet-correlation ShinIchi Esumi Univ. of Tsukuba Flow originated from initial geometry Expansion and freeze-out geometry Jet and multi-particle correlation Jet-correlation with respect to geometry Influence on bulk property ShinIchi Esumi, Univ. of Tsukuba

2. Higher harmonic order collective expansion of QGP WMAP QM12: S. Mizuno PHENIX Preliminary, QM12 ShinIchi Esumi, Univ. of Tsukuba

3. QM12: T. Niida Source geometry (size, shape and time duration) at the end of freeze-out via two particle quantum interferometry (HBT measurement) side view size qT-side : RT-side pT1 pT2 depth + time duration qT-out : RT-out RT-side,RT-outvs (), ()RT-sideoscill. < RT-outoscill.for n=2,3 (central) PHENIX Preliminary, QM12 together with vn(pT)PID fitting with Blast Wave ShinIchi Esumi, Univ. of Tsukuba

4. PHENIX, QM12 extracted by BW fitting with spectra + v2,3,4 of ,K,p extracted from RTside by  HBT ShinIchi Esumi, Univ. of Tsukuba

5. jet p p Au Au Energy loss (jet quenching) Phys. Rev. Lett. 105 (2010) 252303 CMS re-distribution of the lost energy Phys. Rev. Lett. 91 (2003) 072304 di-jet energy asymmetry Away-side suppression ShinIchi Esumi, Univ. of Tsukuba

6. High mult. p+A A+A Ridge structure or vn A small but high-temperature/density system might be created in high multiplicity pp and pA collisions… --- centrality and pT dependences --- Are they collective/expanding? Min. bias p+p High mult. p+p shape evolution JHEP 09(2010) 091, Eur. Phys. J. C 72 (2012) 2012 Phys. Lett. B 718 (2013) 795-814 CMS ShinIchi Esumi, Univ. of Tsukuba

7. Angle (Length) dependence of di-hadron correlation - high pT single/jet suppression - high pTdi-hadron/di-jet suppression- High pT v2 Phys. Rev. Lett. 93 (2004) 252301 Phys. Rev. C 84 (2011) 024904 ShinIchi Esumi, Univ. of Tsukuba

8. Path length (angle w.r.t. Fn) dependence of energy-loss would be a dominant source of high pT or reconstructed jet vn. Depending on the shape (amount and direction: blue part), the lost energy re-distribution should then influence the low to mid pTvnand possibly also affect the bulk expansion in the later stage. Bulk expansion Lost energy from the jet quenching, feed-back into the bulk Interplay between hard and soft physics initial final ShinIchi Esumi, Univ. of Tsukuba

9. Initial (p-p like) jet shape is given by the jet axis. (blue shape) How much the jet-shape is modified? (red shape) How much additional things like ridgeand mach-cone are generated including the bulk modification? (green shape) F3 dependence h dependence F2 dependence Jet shapes can be asymmetric with respect to the initial jet axis depending on the axis angle relative to F2, F3 … and h. ShinIchi Esumi, Univ. of Tsukuba

10. QM09: J. Konzer Left/right asymmetry of Ridge and Mach-cone STAR PreliminaryAu+Au 20-60%3<pTTrig<4 GeV/c1<pTAssoc<1.5 GeV/c R.P. Y(|∆η|>0.7) = Ridge+ away-side two-Gaussian Jet = Y(|∆η|<0.7) – Acceptance*Y(|∆η|>0.7) Trig |∆η|>0.7 Trig~90 Trig~0 Ridge contributes v2 and is asymmetric in  Ridge Jet ∆f = fAsso-fTrig v2 subtraction ShinIchi Esumi, Univ. of Tsukuba

11. QM09: J. Konzer Left/right asymmetry of Ridge and Mach-cone STAR PreliminaryAu+Au 20-60%3<pTTrig<4 GeV/c1<pTAssoc<1.5 GeV/c R.P. Y(|∆η|>0.7) = Ridge+ away-side two-Gaussian Jet = Y(|∆η|<0.7) – Acceptance*Y(|∆η|>0.7) Trig |∆η|>0.7 Trig~90 Trig~0 Ridge contributes v2 and is asymmetric in  Ridge Jet ∆f = fAsso-fTrig v2 subtraction ShinIchi Esumi, Univ. of Tsukuba

12. QM12: T. Todoroki Hard-soft coupling via geometry and expansion - strong 2 dependence and left/right asymmetry (coupled with energy loss and flow)- broader out-of-plane correlation than in-plane correlation (re-distribution of lost energy) 2 1/NTrigdNAsso/ dDf PHENIX Preliminary, QM12 mid-central 40-50%Au+Au 200GeV, hadron-hadronpT: (2~4)Trig x (1~2)Asso (GeV/c)vn subtraction, no Dh cut p p 0 0 2 4 2 4 Df = fAsso – fTrig ShinIchi Esumi, Univ. of Tsukuba

13. PHENIX, QM12 mid-central collisions - driving force of v2 (enhances v2) - almost no 3dependence (poor 3 resolution) ShinIchi Esumi, Univ. of Tsukuba

14. PHENIX, QM12 - stopping force of v2(suppresses v2)- some weak 3 dependence central collisions ShinIchi Esumi, Univ. of Tsukuba

15. Trigger h dependence of Dh distribution (associate yield per trigger with AMPT simulation) AMPT mid-central bimp = 4 - 10 fm AMPT Peripheral bimp = 10 - fm Forward-backward asymmetry is visible at least in AMPT. Near side Dh peak is backward shifted w.r.t. trigger h direction. 1/NTrigdNAsso/ dDh |Df| <p/4 near side |Df| >p/4 away side hTrig~ -1 beam -4 -2 0 2 4 -4 -2 0 2 4 Dh = hAsso - hTrig ShinIchi Esumi, Univ. of Tsukuba

16. hTrig -2 2 Trigger h dependence of Dh distribution (associate yield per trigger with AMPT simulation) bimp= 0 - 4 fm hTrig |Df| <p/4 near side |Df| >p/4 away side bimp= 4 - 10 fm beam look at the asymmetry in Dh = hAsso – hTrig(associate h distributionwith respect to trigger h) in order to see the hard-soft coupling with longitudinal density profile and/or expansion bimp= 10 - fm -4 -2 0 2 4 -4 -2 0 2 4 Dh = hAsso - hTrig ShinIchi Esumi, Univ. of Tsukuba

17. Use photons, Jets, single hadrons as trigger in order to look at correlated association emission Multi-particle correlation like 2+1 particle correlation analysis (Trig1, Trig2, Asso) can be used as largely modified jet and di-jet signal. Trig1 Trig1 Closer and closer to the initial parton energy Asso Asso Gamma trigger Trig2 Jet (large R) trigger Trig1 Trig2 Jet (small R) trigger Trig2 Asso 0(hadron) trigger Use “Trig2 relative to Trig1” as jet trigger condition, and look at distribution : “Associate relative to Trig1” without jet-reconstruction bias more and more surface bias given by energy loss To be used for Fn and hTrig dependent analysis ShinIchi Esumi, Univ. of Tsukuba

18. Summary Flow originated from initial geometry Expansion and freeze-out geometry Jet and multi-particle correlation Jet-correlation with respect to geometry Influence on bulk property ShinIchi Esumi, Univ. of Tsukuba

19. Y(|∆η|>0.7) = back-to-back 2 ridges + away-side two-(left/right) Gaussian ShinIchi Esumi, Univ. of Tsukuba