## Data Analysis in CosmologyVicent J. Martinez, Enn Saar, Enrique Martinez Gonzales, Maria Jesus Pons-Borderia The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites. Efficiently handling and analysing new data of the order of terabytes per day requires not only computer power to be processed but also the development of sophisticated algorithms and pipelines. |

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Data Analysis in Cosmology Vicent J. Martinez,Enn Saar,Enrique Martinez Gonzales,Maria Jesus Pons-Borderia No preview available - 2010 |

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algorithm amplitude analysis angular anisotropies Astron Astrophys astrophysical B-mode bispectrum clusters coeﬃcients components computational constraints correlation function cosmic variance covariance matrix data set deﬁned deﬁnition Delaunay tessellation density ﬁeld detection diﬀerent emission equation error estimate ﬁlaments ﬁlter ﬁnd ﬁrst ﬂat ﬂow ﬂuctuations foregrounds frequency galactic galaxy distribution Gaussian gravitational grid interpolation inverse kernel large-scale structure lensing likelihood likelihood function linear mass matter distribution measure method Mexican Hat wavelet Minkowski functionals MNRAS modes natural neighbour noise non-Gaussian non-linear observations perturbations phase Phys pixels point sources polarization power spectrum proﬁle radial random ﬁeld reconstruction redshift distortions redshift surveys regions reionization sample scales SDSS Sect shot noise signal signiﬁcant simulations smoothing solution space spatial speciﬁc spectra spherical statistical SZ eﬀect Tegmark temperature tion Universe values variance vector velocity ﬁeld void Voronoi cell Voronoi tessellation wavelet transform Weygaert WMAP