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A measure of data collapse for scaling

Somendra M Bhattacharjee1,2 and Flavio Seno2

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Data collapse is a way of establishing scaling and extracting associated exponents in problems showing self-similar or self-affine characteristics as, for example, in equilibrium or non-equilibrium phase transitions, in critical phases, in dynamics of complex systems and many others. We propose a measure to quantify the nature of data collapse. Via a minimization of this measure, the exponents and their error-bars can be obtained. The procedure is illustrated by considering finite-size-scaling near phase transitions and quite strikingly recovering the exact exponents.


PACS

64.60.Ht Dynamic critical phenomena

05.70.Ce Thermodynamic functions and equations of state

MSC

82B27 Critical phenomena

82B26 Phase transitions (general)

Subjects

Condensed matter: structural, mechanical & thermal

Statistical physics and nonlinear systems

Dates

Issue 33 (24 August 2001)

Received 6 June 2001

Published 10 August 2001



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