Centrality Dependence of Azimuthal Anisotropy of Strange Hadrons in 200 GeV Au Au Collisions - PowerPoint PPT Presentation

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Centrality Dependence of Azimuthal Anisotropy of Strange Hadrons in 200 GeV Au Au Collisions

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Title: Centrality Dependence of Azimuthal Anisotropy of Strange Hadrons in 200 GeV Au Au Collisions


1
Centrality Dependence ofAzimuthal Anisotropyof
Strange Hadrons in 200 GeV AuAu Collisions
  • Markus Oldenburg
  • European Organisation for Nuclear Research CERN
  • for the STAR Collaboration
  • Strange Quark Matter 2006
  • International Conference on Strangeness in Quark
    Matter
  • March 2631, University of California, Los
    Angeles, USA

2
Overview
  • Motivation
  • Analysis details and technique
  • Data and results for v2 and v4
  • Discussion
  • Conclusions

3
Elliptic flow v2
  • non-central collisions azimuthal anisotropy in
    coordinate-space
  • interactions ? asymmetry in momentum-space
  • sensitive to early time in the systems evolution
  • Measurement Fourier expansion of the azimuthal
    pT distribution

4
Flow of strange hadrons
  • freeze-out of multi-strange hadrons
  • - at higher
  • temperature Tfo
  • - with lower
  • collective
  • velocity ??T?
  • less interaction of strange hadrons with
    non-strange hadrons
  • sensitivity to the early, partonic stage

STAR
Nucl. Phys. A715, 458c (2003) Phys. Rev. Lett.
92, 112301 (2004) Phys. Rev. Lett. 92, 182301
(2004)
5
Dataset and analysis method
  • system AuAu collisions
  • energy ?sNN 200 GeV
  • event sample
  • 13.3 M events 080
  • 6.6 M events 4080
  • 5.0 M events 1040
  • 19 M events 010
  • event plane resolution
  • 76 for 080
  • 66 for 4080
  • 82 for 1040
  • 69 for 010
  • analysis method v2 vs. minv
  • motivated by Borghini et al. nucl-th/0407041
  • detailed studies regarding systematic
    uncertainties still underway
  • for K0S and ??
  • 5 error on v2 for pTlt4 GeV/c
  • rising up to 2530 at 4ltpTlt6 GeV/c
  • possible significant non-flow contribution for
    pTgt5 GeV/c
  • Only statistical errors shown in this
    presentation!

_
6
Min. bias v2(pT) for strange hadrons
K0S and ? data provided by Yan Lu ? poster on
Thursday
  • mass ordering at low pT
  • standard Hydro calculation Tch165 MeV,
    Tkin130 MeV
  • P. Huovinen, private communication
  • model works reasonably well for min. bias at low
    pT

7
Centrality dependence of v2(pT)
Hydro model results by P. Huovinen, private
communication
  • available high statistics allows for measurement
    of centrality dependence of v2(pT)
  • comparison to Hydro model calculations shows
    deviations even at low pT

K0S and ? data provided by Yan Lu ? poster on
Thursday
8
NCQ scaling of v2(pT) for min. bias
  • scaled meson and baryon v2 agrees at intermediate
    pT
  • high statistics measurements show deviation from
    ideal scaling

PHENIX (open symbols) Phys. Rev. Lett. 91,
182301 (2003)
9
Centrality dependence of NCQ scaling
  • polynomial fit through K0S, ?, and ? data
  • NCQ scaling seems to work for different
    centralities as well

See Yan Lus poster on Thursday!
10
v4 for ?- and ?
_
v4
_
STAR preliminary
  • Observation of sizable v4 with strong pT
    dependence
  • v4 scales with 1.2 v22 (as it for charged
    hadrons)
  • STAR Phys. Rev. C 72 014904 (2005)

?? v4
0.5 v22
200 GeV AuAu
min. bias (080)
  • ideal fluid dynamics would lead to v4/v22 0.5
  • Borghini and Ollitrault, nucl-th/0506045
    Kolb, Phys. Rev. C 68, 031902(R)
  • Incomplete thermalisation? Borghini et al.,
    Phys. Lett. B 627, 49 (2005)

Will v4/v22 be closer to 0.5 at LHC?
11
Conclusions
  • The strong flow of strange and multi-strange
    hadrons indicates collectivity among partons!
  • strange hadron v2 at low pT
  • show mass ordering
  • follow hydro model for minimum bias
  • deviate from hydro model predictions
  • for different centralities
  • NCQ scaling of v2 at intermediate pT
  • deviations from ideal NCQ scaling become
  • visible for minimum bias
  • indication for NCQ scaling even for different
    centralities
  • v4 of ?-?
  • shows same scaling (1.2 v22) as other particle
    species
  • Hint for incomplete thermalisation?

_
12
Backup
13
Analysis technique
  • analysis method v2 vs. minv
  • motivated by
  • Borghini et al. nucl-th/0407041
  • advantages over standard method
  • only one fit per pT bin
  • smaller systematic uncertainties
  • method used for K0S, ?, ?, ?,
  • standard method and v2 vs. minv method give
    consistent results and provide means for
    estimating systematic errors

SIG BG
BG
BG (SIGBG)
SIG (SIGBG)
v2TOT(minv)
14
Systematic error estimations for K0S and ?
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