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Journal Articles Monthly Notices of the Royal Astronomical Society Year : 2016

Unmasking the masked Universe: the 2M++ catalogue through Bayesian eyes

Guilhem Lavaux

Abstract

This work describes a full Bayesian analysis of the Nearby Universe as traced by galaxies of the 2M++ survey. The analysis is run in two sequential steps. The first step self-consistently derives the luminosity-dependent galaxy biases, the power spectrum of matter fluctuations and matter density fields within a Gaussian statistic approximation. The second step makes a detailed analysis of the three-dimensional large-scale structures, assuming a fixed bias model and a fixed cosmology. This second step allows for the reconstruction of both the final density field and the initial conditions at z = 1000 assuming a fixed bias model. From these, we derive fields that self-consistently extrapolate the observed large-scale structures. We give two examples of these extrapolation and their utility for the detection of structures: the visibility of the Sloan Great Wall, and the detection and characterization of the Local Void using DIVA, a Lagrangian based technique to classify structures.
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Dates and versions

insu-03747403 , version 1 (08-08-2022)

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Guilhem Lavaux, Jens Jasche. Unmasking the masked Universe: the 2M++ catalogue through Bayesian eyes. Monthly Notices of the Royal Astronomical Society, 2016, 455, pp.3169-3179. ⟨10.1093/mnras/stv2499⟩. ⟨insu-03747403⟩
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