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Event-by-event Analysis Methods and Applications to Relativistic Heavy-ion Collision Data by Reid, J. G. is a scholarly article available to read on EtoBox.

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Event-scale analysis techniques using correlation and fluctuation measures are applied to heavy-ion collision data with the goal of discovering, characterizing, and understanding deconfined quark matter. In service of these goals development of a scale-local thermodynamics is discussed and applied to a broad range of toy models, simulations, and data. Scale-local partitioning is discussed at length and an ideal theoretical reference is derived for comparison to data. The dimension of the chaotic attractor of the Henon map is calculated as a function of scale, and the implications of scale-local dimension are explored. Event spaces with discriminatory power are developed and applied to the face recognition problem, detector triggering, and STAR and NA49 data. Event-wise mean transverse momentum fluctuations in STAR data are analyzed with a minimally biased central-limit based measure using numerical and graphical methods. Cut efficiencies, corrections, and systematic error sources are all addressed. A connection between non-statistical fluctuations and two-particle correlations is found and exploited. Two-particle correlation space formation is discussed and methods for minimizing e

Author

Reid, J. G.

Published

2003

Language

EN