Title: PHOTON
1PHOTON
MULTIPLICITY
DETECTOR FOR THE
2 EXPERIMENT
_at_ RHIC
COLLISIONS
3(WA98
COLLABORATION)
4EVENT-by-EVENT PHYSICS
- Motivation
- Critical fluctuation at the phase boundary
- Tricritical point of QCD phase transition
- Disoriented Chiral condensates (DCC)
- Understanding thermalization
- Analysis using
- Multiplicities of charged particles, photons
- Particle ratios
- Transverse energy, transverse momentum
- HBT correlations (Rinv, R.)
- .
- Control parameters
- Centrality
- Acceptance
- Different colliding systems at different
energies
5- First results of localized charged-neutral
fluctuations in heavy-ion experiments. - Using a subset of detectors in the WA98
experiment - Photon Multiplicity Detector (PMD)
- Silicon Pad Multiplicity Detector (SPMD)
- Analysis tool
- Discrete Wavelet Transformation (DWT)
- Ng Nch Correlation
6CHARGED-NEUTRAL FLUCTUATIONS
DISORIENTED CHIRAL CONDENSATES
Formation of DCC gives rise to a pulse of low pT
pions with a probability P(f) 1/(2
sqrt( f )) where f is the neutral pion
fraction
- Domain of DCC
- occupies a part in phase space
- contains pions with above probability
Large fluctuations in number of photons and
charged particles
Bose-Einstein correlations, resonance decays and
.
7(No Transcript)
8WA98 _at_ SPS
PMD
SPMD
9Data, Mixed events and simulation
10SINGLE EVENT DISPLAY of photons and charged
particles
- To study localized fluctuations we use
- Discrete wavelet method (DWT)
- Correlation method
11MIXED EVENTS
- Remove various correlations in a controlled
manner - Preserving the characteristics of the
measured distributions. - N g-like and Nch correlations are
maintained. - Constructed from real events.
- Also constructed from simulated events to
understand their behavior.
12A SIMPLE DCC MODEL
- 1. Start with VENUS event generator.
- 2. Assume a single domain DCC in a
selected h-f zone. Within the zone the charge of
the pions is interchanged pair-wise - pp- p0p0
- as per DCC probability distribution.
- 3. The neutral pions decay to photons.
Full GEANT simulation.
Analysis using DWT method where FFC (father
function coefficients) are extracted. These
distributions are gaussian-like. We study rms
deviations of the FFC (and Sz) distributions
nDCC events is a combination of VG events with
DCC events where the Fraction of DCC events
depends on DCC Probability.
13UNDERSTANDING MIXED EVENTS FROM nDCC events
For VG (no DCC) rms values are lower than
those of the mixed events.
Root-mean-square (rms) deviations increase
strongly by increasing the probability of DCC
events.
M1 independent of DCC probability
M2 increase with DCC probability
M3-g and M3-ch lie between M1 and M2
sets.
14CORRELATION ANALYSIS
15CORRELATION ANALYSISSZ Distributions
- Ng-like - Nch correlation for each f bin
- A polynomial of 2nd order fitted
- Minimum distance (DZ) between data points and the
line (Z) obtained. - SZ DZ / rms(DZ of VG)
16DISCRETE WAVELET TRANSFORMATION FFC DISTRIBUTIONS
- 1-d analysis using D4 basis
- binning in f
- Starting at highest resolution
- scale, jmax 5 (32 bins)
- Input sample function is the
- photon fraction
- f Ng-like/(Ng-like Nch)
- Output is a set of FFCs
- 1-D analysis using D4 basis
- FFCs carry information
- about fluctuation
17LOCALIZED FLUCTUATIONS
Comparison of data, M1 and simulation
- Presence of
- localized fluctuations.
-
- Possibilities in
- Ng
- Nch
- These two may be correlated
18CORRELATED FLUCTUATIONS
Comparison of data and M2
- Mix one PMD event with another
- SPMD event.
- Hit structures are unaltered
- Ng Nch correlation maintained
Absence of E-by-E Correlated Fluctuations
19INDIVIDUAL FLUCTUATIONS
Comparison of data and M3-ch and M3-g
M3-ch hits in PMD mixed and hits
in SPMD unaltered M3-g hits in SPMD mixed and
hits in PMD unaltered. Ng-Nch
correlations are maintained.
- Presence of individual
- Fluctuations in both
- Ng
- Nch