The single particle measurements of charged kaons and pions (Chapters 4 and 5), and the multiparticle texture analysis (Chapters 6 and 7), both represent searches for hadronic signatures of a phase transition. However they are quite different in terms of the method and, what is more relevant to this chapter, in terms of the physics of the signature.
The strangeness enhancement or, in a more elaborate language,
chemical equilibration as a phase transition signature represents
an attempt to use hadronic data (highly
compressed down to the
number of particles of certain identity with certain and
,
produced per collision) to identify the nature of the degrees of
freedom responsible for the hadron production.
The texture signatures of a phase transition
exploit analogies between the
multiparticle physics of the heavy ion collision and that in the
macroscopic condensed matter systems.
This is inspired by the notion of universality in the phase transitions,
explored with a great
success in the condensed matter physics over the past decades.
Technically, the texture analysis carried out here relies
on the recent advances in the presently booming area of
industrially-applicable mathematics of efficient image processing.
Here, the ``smart'' multi-step (multi-scale !)
data compressionitself becomes, in a sense,
the process of measurement, and the results of the compression
steps throughout the process
turn out to be related with the multiparticle degrees of freedom.
The results of our research can be summarized as follows:
Clearly, each of the two results leaves a lot of freedom in the
interpretation and they do not contradict each other.
Does the ``negative'' dynamic texture result contradict
other CERN data, such as suppression[108],
where the strongest claim for the QGP evidence was made ?
No, because neither of the results is logically a sufficient condition
of existence/non-existence of QGP in the
collisions,
and the strongest claim just mentioned in fact merely states that
deconfinement is a ``natural explanation'' of the
data.
Finally, I wish to express my intuitive feeling that much of the ambiguities present in the interpretations of the heavy ion data may be a consequence of too high a degree of data compression, applied to made the data analyzable by human brain, following a cultural heritage of the previous epoch of scarce computing power. Consequently, the ``smart'' compression algorithms, and the analysis techniques based on them, however technical this may sound for the last sentence of a PhD thesis, may well be one of the most promising paths of further development in the heavy ion experiment.