A Comparative Study of Void Searching Algorithms

Physics

Scientific paper

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Scientific paper

30 years after the first detection of voids in the large scale structure of the universe, we still lack a definition of voids, upon which the majority of cosmologists agree. Cosmic voids are the largest structures found to date. They contain much less than galaxies universe's average galaxies and matter and they are an important feature of the Large Scale Structure. A better description of the abundance of voids in the Universe and their statistical and physical properties, such as their size distribution, their mean density and their morphology, requires an accurate definition. For the analysis of observational catalogs or in simulated galaxy samples, the definition of voids is closely related with the algorithm that is used for finding them. Up to now more than 10 different methods for finding voids have been suggested in the literature and they have been applied to different data samples. In the present study we have reconstructed 6 different representative algorithms and compare the resulting void distributions. Different from the past we have applied all algorithms to the same volume-limited samples constructed from the 2dF Galaxy Redshift Survey data. With this calibration of the different algorithms we hope to do the first step towards a generally accepted definition of voids.

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