%0 Journal Article %T Unmasking the masked Universe: the 2M++ catalogue through Bayesian eyes %+ Institut d'Astrophysique de Paris (IAP) %A Lavaux, Guilhem %A Jasche, Jens %< avec comité de lecture %@ 0035-8711 %J Monthly Notices of the Royal Astronomical Society %I Oxford University Press (OUP): Policy P - Oxford Open Option A %V 455 %P 3169-3179 %8 2016 %D 2016 %Z 1509.05040 %Z 2016MNRAS.455.3169L %R 10.1093/mnras/stv2499 %K methods: data analysis %K methods: statistical %K galaxies: statistics %K large-scale structure of Universe %K Astrophysics - Cosmology and Nongalactic Astrophysics %Z Sciences of the Universe [physics] %Z Sciences of the Universe [physics]/Astrophysics [astro-ph]Journal articles %X 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. %G English %2 https://insu.hal.science/insu-03747403/document %2 https://insu.hal.science/insu-03747403/file/stv2499.pdf %L insu-03747403 %U https://insu.hal.science/insu-03747403 %~ INSU %~ CNRS %~ IAP %~ SORBONNE-UNIVERSITE %~ SU-INF-2018 %~ SU-SCIENCES %~ SU-TI %~ ALLIANCE-SU