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Measuring the transition to homogeneity with photometric redshift surveys

Abstract. We study the possibility of detecting the transition to homogeneity using photometric redshift catalogues. Our method is based on measuring the fractality of the projected galaxy distribution, using angular distances, and relies only on observable quantities. It thus provides a way to tes...

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Hauptverfasser: Alonso, D. (VerfasserIn) , Bueno Belloso, Alicia (VerfasserIn) , Sánchez, F. J. (VerfasserIn) , García-Bellido, J. (VerfasserIn) , Sánchez, E. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 27 February 2014
In: Monthly notices of the Royal Astronomical Society
Year: 2014, Jahrgang: 440, Heft: 1, Pages: 10-23
ISSN:1365-2966
DOI:10.1093/mnras/stu255
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/mnras/stu255
Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/mnras/article/440/1/10/1747216
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Verfasserangaben:D. Alonso, A. Bueno Belloso, F.J. Sánchez, J. García-Bellido and E. Sánchez
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Zusammenfassung:Abstract. We study the possibility of detecting the transition to homogeneity using photometric redshift catalogues. Our method is based on measuring the fractality of the projected galaxy distribution, using angular distances, and relies only on observable quantities. It thus provides a way to test the cosmological principle in a model-independent unbiased way. We have tested our method on different synthetic inhomogeneous catalogues and shown that it is capable of discriminating some fractal models with relatively large fractal dimensions, in spite of the loss of information due to the radial projection. We have also studied the influence of the redshift bin width, photometric redshift errors, bias, non-linear clustering, and surveyed area on the angular homogeneity index H2(θ) in a Λ cold dark matter cosmology. The level to which an upcoming galaxy survey will be able to constrain the transition to homogeneity will depend mainly on the total surveyed area and the compactness of the surveyed region. In particular, a Dark Energy Survey (DES)-like survey should be able to easily discriminate certain fractal models with fractal dimensions as large as D2 = 2.95. We believe that this method will have relevant applications for upcoming large photometric redshift surveys, such as DES or the Large Synoptic Survey Telescope.
Beschreibung:Gesehen am 09.09.2020
Beschreibung:Online Resource
ISSN:1365-2966
DOI:10.1093/mnras/stu255

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