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5.0. 4.0. 3.0. 2.0. 1.0. 0.5. near-side (small-angle) peak structure. Soft and Semi-hard Components in p-p Collisions at s NN = 200 GeV R. Jeff Porter, Brookhaven National Laboratory & University of Washington (STAR Collaboration). Abstract:. transverse rapidity. - PowerPoint PPT Presentation
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features similar to above signal: correlations are broader and not
as strong
ty
ty
Soft and Semi-hard Components in p-p Collisions at sNN= 200 GeV
R. Jeff Porter, Brookhaven National Laboratory & University of Washington (STAR Collaboration) Abstract:
m
p
m
p tt
2
1lnty
(GeV/c)tpty
transverse rapidity
}1)()(
),({
21
21 xx
xxN
A
AN
two-particle correlations
evaluated from same event pairs
evaluated from sibling (mixed-event) pairs
,
t
Δ 1 2 Δ 1 2
p η, φ
φ φ φ , η η η
x
x
where
To examine correlation structure at larger pt, we change variables to transverse rapidity yt. This variable compresses data at larger pt and reduces density variation on the transverse momentum variable.
0.5
5.04.03.0
1.0
2.0
pt (GeV/c)
yt,1 x yt,2 correlations(STAR Preliminary data)
ty
t,2y
t,1y
soft-component autocorrelations
HBT local charge conservation about ~ 0
-conversion to e+epairs
STAR Preliminary data
Pythia 6.2 Minbias
charge conservation broader than data
No HBT
Low-yt structure: local charge conservation near ~ 0 for US pairs
LS pairs have a strong small-angle peak consistent with HBT
Results from Pythia show no HBT signal but do reveal a charge conservation structure similar to data
Correlations on yt x yt provide a transparent cut space on which one can separate correlations due to soft-string fragmentations from hard scattering
ty
ty
0.8<pt1,pt2<2.3 GeV/c
“jet-finding” selection:e.g., trigger particle pt > 4GeV/c
jet-like features:small-angle peak plus broad -independent peak on at
Correlations from semi-hard scattering emerge above pt ~ 0.5 GeV/c Autocorrelations on at moderate pt have features in common with those found with “jet-finding” selections
2-particle correlations are part of a continuum: jets, jet-remnants and mini-jets
In this analysis we forgo reliance on trigger-particle selections and map out these correlations over the entire pt range.
semi-hard-component autocorrelations
- Two-particle correlations on yt x yt (and Nch) provide a transparent cut space to study soft and semi-hard scattering components
- Low-pt correlations reveal local charge conservation and HBT signals - At higher pt (> 0.5 GeV/c), structures asso-ciated with jet correlations show a continuum of features resulting from semi-hard scattering
- These p-p minijet correlation studies provide an essential reference for A-A collisions
correlation dependence on Nch
Signal pushes out to larger ytxyt with increasing Nch while correlation strength at moderate yt grows.
Δ Δ
Δ η Δ
Δ Δns ns ns
η
Δ Δas cdas cd
2 2ΔΑ 1 η 1
Ν CΑ 2 σ 2 σ
2 21 π 1 η
C C C2 σ 2 σ
exp
exp exp
away-side structure about
small charge-dependent band about
model function description
2 2
ψ η φσ σ σ Δ Δη φε σ σ
Δφ Δη
ty
ΔφΔηty
STAR Preliminary data model fit
/ 2χ 1.09
Autocorrelations reveal simple structures easily modeled by standard functions. Correlations at moderate pt are well fit by gaussians and share features (near-side peak or “jet-cone”) with those obtained from Pythia. Data structures are sharper and more eccentric than Pythia but converge with Pythia at pair pt ~ 6 GeV/c. The integrated correlation strengths from Pythia grow with total pt while those for data remain flat up to pt ~ 6 GeV/c.
t t
d
d
N
p p t t
d
d
N
y y
ΔΑΝ
Α
ΔΑΝ
Α
ΔΑΝ
Α
ΔΑΝ
Α
ΔΑΝ
Α
ΔΑΝ
Α
,ty
,ty
ψσ ε C
,ty,ty
near-side (small-angle) peak structure
ΔφΔηns σσ2πCC
Histogram KeyLS=Like-sign pairs US=Unlike-sign pairsCD=LS – US CI=LS + US
Summary