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Hadron Single- and Multiparticle
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Hadron Single- and Multiparticle
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Contents
List of Figures
List of Tables
Acknowledgements
Introduction
Multiparticle production and the strong interaction: a prehistory of the relationship
Relativistic collisions of heavy ions
The NA44 Experiment
The General Concept
Beam
Target
Trigger
Valid beam condition (VB) and beam counting
Trigger detector of charged particle multiplicity (T0)
Multiplicity trigger (MUL1)
Cherenkov veto trigger ( and )
Use of the trigger modes
Scalers
The Si pad detector
Spectrometer ``optics'' and acceptance.
Means of particle identification
Tracking and time of flight
The Cherenkov counters
The Uranium Calorimeter (UCAL)
Readout and Data Acquisition
Technique of the NA44 single particle analysis
Acceptance correction
Introduction and definitions
How to extract the one-dimensional distributions
Corrections for the inefficient hodoscope slats
Acceptance correction for the non-identified tracks
Imperfections of the acceptance correction and the effects thereof
Collimator-related uncertainties
Determination of the trigger centrality
The problem of absolute normalization
Role of T0
Role of MUL1
General idea of the procedure
How to use the Si pad array
Si - spectrometer acceptance matching
matching: Si vs spectrometer
Runs with Cherenkov veto
Correction for the consequences of radiation damage in Si
Results, systematic uncertainties, and conclusions.
Track identification
Double beam cut
Track confidence level cut
Pad Chamber in the trigger
Pion identification
Time of flight in pion identification
UCAL calibration
Correcting for the electron veto inefficiency.
Counting pions in the strong field setting.
Kaon identification
Time of flight in kaon identification.
Correcting for pion/electron veto inefficiency
Summary of the systematic uncertainties
Inclusive single particle results for and . Their meaning.
Strangeness as a deconfinement signature
Hadrochemistry
Subtleties and controversies related to the strangeness signature
What the data say
Conclusion from NA44 strangeness measurements
Technique for event-by-event multiparticle texture analysis using the NA44 Si pad array
Data sample and data reduction
-electrons and the Si detector
Amplitude calibration of the Si channels
Geometrical alignment of the detector
Formulation of the problem
Solution
Cross-talk analysis
Sources of cross-talk
Channel wiring and numbering
The covariance matrix approach
Cross-talk evaluation: results and discussion
Cross-talk correction for the multiplicity
The double differential multiplicity distribution
Discrete Wavelet Transform power spectrum analysis of local fluctuations
The power spectrum - a way to accumulate texture information
Static and dynamic texture. Event mixing as a way to subtract the static contribution.
Analysis of background effects
Sources of background
Background subtraction
GEANT-based Monte Carlo simulation of the detector response
Systematic errors
Results of the event-by-event multiparticle texture analysis and their meaning
The DWT texture correlation
The multifireball event generator.
Physics
Mathematics.
Sensitivity of the method
Discussion: First Order Phase Transition
Discussion: Second Order Phase Transition
Conclusions
Bibliography
Re-calibrating UCAL to correct for the light absorbtion.
Subtracting background effects in the DWT power spectra.
Calculus of covariances
Generating sequences of random numbers with a fixed sum.
About this document ...
Mikhail Kopytine 2001-08-09