2006/10/31 by E. Saar, Enn Saar, Vicent J. Martinez +4 · 1 citation
Computer Science · Physics and Astronomy · #Astrophysics #Bayesian Methods and Mixture Models #Dark matter #Extension (predicate logic) #Galaxies: Formation, Evolution, Phenomena #Galaxy #Galaxy formation and evolution #Gaussian #Mathematical physics #Minkowski space #Physics #Redshift #Scale (ratio) #Scientific Research and Discoveries #Statistical physics #astro-ph
paper · pdf · doi:10.1111/j.1365-2966.2006.11237.x
published as Mon.Not.Roy.Astron.Soc.374:1030-1044,2007 · 17 pages, 19 figures, accepted for publication in MNRAS
arxiv created 2006/10/31 · openalex publication_date 2006/12/06 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Many statistical methods have been proposed in the last years for analysing the spatial distribution of galaxies. Very few of them, however, can handle properly the border effects of complex observational sample volumes. In this paper, we first show how to calculate the Minkowski Functionals (MFs) taking into account these border effects. We then present a multiscale extension of the MF which gives us more information about how the galaxies are spatially distributed. A range of examples using Gaussian random fields illustrate the results. Finally, we have applied the Multiscale Minkowski Functionals (MMFs) to the 2dF Galaxy Redshift Survey data. The MMF clearly indicates an evolution of morphology with scale. We also compare the 2dF real catalogue with mock catalogues and found that Λ cold dark matter simulations roughly fit the data, except at the finest scale.