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BoseEinstein Correlations

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with W. Metzger, T. Nov k and W. Kittel. for the L3 Collaboration ... a video of particle emission (in e e- annihilation only, for now) ... – PowerPoint PPT presentation

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Title: BoseEinstein Correlations


1
Bose-Einstein Correlations
  • T. Csörgo
  • with W. Metzger, T. Novák and W. Kittel
  • for the L3 Collaboration
  • Department of Physics, Harvard University,
    Cambridge, MA
  • MTA KFKI RMKI, Budapest, Hungary

Reconstruction of the Source Function in Hadronic
Z-Boson Decays
2
Motivation
  • Bose-Einstein Correlations, HBT, femtoscopy
  • 1) Tools to measure Sizes, lifetimes, shapes
    snapshot pictures or even
  • a video of particle emission (in ee-
    annihilation only, for now).
  • 2) Reflect both geometrical and dynamical
    properties
  • In ee- annihilation a) dependence on Q, which
    is different from hp,pp AB, b) small
    paradigm shift R(Q) ?1 positive definite
    form c) mt dependence similar decrease in
    ee-, pp, dA AB d) elongation source is
    not spherically symmetric in ee (when studied
    in LCMS by ALPEH, DELPHI, L3, OPAL)?
  • ?-model described with CL gt 4 properties a), b)
    and c)
  • For ISMD 2009 test of ?-model on d)
    elongation in 2-jet

3
Large Electron Positron (LEP) collider
4
The L3 detector
5
Two particle Interferometry
for non-interacting identical bosons
emission function
6
Correlations for various collisions
STAR prel. data
C2(Qinv)?
Qinv (GeV/c)?
Correlations have detailed size shape info (3d
shape analysis)? Depending on the geometry and
the dynamics of the source
7
Bose-Einstein Correlation
In practice
Two particle number density (Data)?
Two particle density without BEC (Reference
sample)?
8
Data Sample
  • 36 M like-sign pairs
  • vs 91.2 GeV
  • 0.8 M hadronic Z0 decays
  • Events classified as two or three() jet events
    Durham jet algorithm, with ycut 0.006 450
    k two jet events 350 k three jet
    events (few events with more than
    3 jets included to 3-jet)?
  • Track selection and quality cuts varied to obtain
    syst errors

9
Puzzles in the late 80s
First, the measured correlation functions are
consistent with the invariant Q dependence.
(the statistics were not large enough)?
Second, the correlation function is more peaked
than a Gaussian.
10
Demonstrating Q dependence in ee-
BEC is maximal, when the invariant Q v-(p1-p2)2
is small, although any of the components of Q can
be large !
11
Demonstrating Q dependence in ee-
BEC is maximal, when the invariant Q v-(p1-p2)2
is small, although any of the components of Q can
be large !
12
Q dependence not present in hp
In NA22 data, BEC is NOT maximal, when the
invariant Q v-(p1-p2)2 is small, but one the
components of Q is large !
13
Examples with Q dependence
The correlation function will be investigated as
a function of Q, the invariant four-momentum
difference. (See later)?
Source function
Correlation function
Gaussian
Intercept parameter
Edgeworth expansion
Symmetric Lévy stable
14
Beyond the Gaussian
Far from Gaussian
Poor CLs. Edgeworth and Lévy better than Gaussian.
Note that data dip in the region 0,6 lt Q lt 1,5
GeV.
15
The t-model
Assume that the average production point of
particles and the four momentum are strongly
correlated.
This correlation is much narrower than the
proper-time distribution.
In the plane-wave approxiamtion, using the
Yano-Koonin formula, one gets for two-jet events
16
Further assumptions
Assume a Lévy distribution for H(t).
Since no particle production before the
interaction, H(t) is one-sided.
Then
a is the index of stability
where
t0 is the proper time of the onset of particle
production
?t is a measure of the width of the dist.
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18
Results for 2-jet events
CLs are good. Parameters are approx. independent
of mt.
19
Results for 2-jet events
t-model passes test on Q dependence, and fits in
R(Q) lt 1 too
20
Tests for mt dependence
Parameters of t-model are independent of mt - l
is mt dependent
21
What about elongation?
Elongation Rlong gt Rside, Rout is seen by all
LEP experiments
We confirm this earlier result with the present
analysis too.
22
Tests allowing for elong. in t-model
Elongation is needed to describe L3 data, fit
w/o elongation fails
23
Tests allowing for elong. in t-model
Elongation is needed to describe L3 data, fit
w/o elongation fails
24
The shortest movie -w/o elongation
25
Summary
Analysis of L3 data for 2-jet events using
t-model finds Q-dependence mt-dependence R(Q) ?1
pos. definit form but elongation not
described t-model has to be generalized for
elongation
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