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Three Particle Correlation Study using Run 4 data (AuAu 200 GeV)

Three Particle Correlation Study using Run 4 data (AuAu 200 GeV). Vasily Dzhordzhadze, Jim Thomas CP Group Teleconference, BNL September 16, 2008. 1. Introduction. Jim’s code : a fast analysis of large statistics using STAR farm -> results within a day, plus ability to write in a

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Three Particle Correlation Study using Run 4 data (AuAu 200 GeV)

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  1. Three Particle Correlation Study using Run 4 data (AuAu 200 GeV) Vasily Dzhordzhadze, Jim Thomas CP Group Teleconference, BNL September 16, 2008 1

  2. Introduction Jim’s code : a fast analysis of large statistics using STAR farm -> results within a day, plus ability to write in a format for next step analysis used by Vasily’s programs Vasily’s code : 3 particle correlation study using Jim’s output files : ~2-3 hours + few minutes for correlation plots -> ability in 24 hours have a new result ! Statistics analysed: 14 M AuAu 200 GeV, Run 4 |Zvertex| <30. dca<3.0 0.15<Pt<2.0 15<Nhits<45 nHitPoints/nHitsPossible>0.52 2

  3. Vectors Used in the Analysis Outut structure written by Jim’s program: xM[ncharge][nharmonic][nsubgroup][nEta] yM[ncharge][nharmonic][nsubgroup][nEta] Ncharge = 2 nharmonics = 3 nsubgroups = 2 nEta = 11 -1.1 < h < 1.1 Event number, Centrality xM[i][0][j][k] – statistic xM[i][1][j][k] – cos(f) xM[i][2][j][k] - cos(2f) yM[i][0][j][k] – Pt yM[i][1][j][k] – sin(f) yM[i][2][j][k] - sin(2f) 3

  4. Three Particle Correlations Three particle correlations -> Correlations between different bins of h. aiaj = -<cos(fi+ fj – 2*YEP)>/<cos2(YaEP - YbEP)> fi = (Sn fn )/n fj = (Smfm)/m n, m number of tracks in h bins of i and j. Particles ordered by f angle (as comes from dst) Particles ordered by random generator (Ilya) Particles ordered by random generator (Jim) 4

  5. Run 4, AuAu 200 GeV, 9.5 M (Ilya) 5

  6. Run 4, AuAu 200 GeV, 14M (Jim, no Rndm case (1)) 6

  7. Run 4, AuAu 200 GeV, 14M (track rndm, case(2 Ilya)) 7

  8. a-a- and a+a+ parameters for centrality bin 9 8

  9. Run 4, AuAu 200 GeV, ~10M (track rndm, case(2 Ilya)) 10 x 9

  10. Run 4, AuAu 200 GeV, ~10M (track rndm, case(3 Jim)) 10

  11. Intermediate Result Correlation parameter behaviour depends on a way how particles are grouped in subgroups ! 11

  12. STAR Particle Identification (NIM A499, 2003, 659-678) 12

  13. STAR Particle Identification (Yuri Fisyak) 13

  14. Run 4, AuAu 200 GeV, ~14M (pID) 14

  15. Run 4, AuAu 200 GeV, ~14M (no e+/e-) 15

  16. Run 4, AuAu 200 GeV, ~14M (no e+/e-) 16

  17. Run 4, AuAu 200 GeV, ~14M (no e+/e-) 17

  18. Run 4, AuAu 200 GeV, ~14M nHitDedxMin = 15 18

  19. Run 4, AuAu 200 GeV, ~14M nHitDedxMin = 10 19

  20. Run 4, AuAu 200 GeV, ~14M nHitDedxMin = 5 20

  21. Summary • Run 4 AuAu 200 GeV data analysis shows that correlation parameter behaviour versus centrality depends on a way how particles are grouped in the subgroups • Particle identification and related to that number of dedx hits used in PID, nHitDedxMin = 15, which assumes better quality of the tracks creates such a correlation parameter dependences on a centrality that the signal is not unique indication of the CP violation • We are continuing analysis to check different ideas 21

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