2009

Breaking the self-averaging properties of spatial galaxy fluctuations in the Sloan Digital Sky Survey - Data Release Six

Labini, Francesco Sylos, Vasilyev, Nikolay L., Baryshev, Yurij V.

Understand

Statistical analyses of finite sample distributions usually assume that fluctuations are self-averaging, i.e.

that they are statistically similar in different regions of the given sample volume.
By using the scale-length method, we test whether this assumption is satisfied in several samples of the Sloan Digital Sky Survey Data Release Six.
We find that the probability density function (PDF) of conditional fluctuations, filtered on large enough spatial scales (i.e., r>30 Mpc/h), shows relevant systematic variations in different sub-volumes of the survey.

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