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- W2256140882 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." @default.
- W2256140882 created "2016-06-24" @default.
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- W2256140882 date "2015-11-26" @default.
- W2256140882 modified "2023-09-25" @default.
- W2256140882 title "Unmasking the masked Universe: the 2M++ catalogue through Bayesian eyes" @default.
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- W2256140882 doi "https://doi.org/10.1093/mnras/stv2499" @default.
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