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On the regularity of the covariance matrix of a discretized scalar field on the sphere

Abstract: We present a comprehensive study of the regularity of the covariance matrix of a discretized field on the sphere. In a particular situation, the rank of the matrix depends on the number of pixels, the number of spherical harmonics, the symmetries of the pixelization scheme and the presence of a mask. Taking into account the above mentioned components, we provide analytical expressions that constrain the rank of the matrix. They are obtained by expanding the determinant of the covariance matrix as a sum of determinants of matrices made up of spherical harmonics. We investigate these constraints for five different pixelizations that have been used in the context of Cosmic Microwave Background (CMB) data analysis: Cube, Icosahedron, Igloo, GLESP and HEALPix, finding that, at least in the considered cases, the HEALPix pixelization tends to provide a covariance matrix with a rank closer to the maximum expected theoretical value than the other pixelizations. The effect of the propagation of numerical errors in the regularity of the covariance matrix is also studied for different computational precisions, as well as the effect of adding a certain level of noise in order to regularize the matrix. In addition, we investigate the application of the previous results to a particular example that requires the inversion of the covariance matrix: the estimation of the CMB temperature power spectrum through the Quadratic Maximum Likelihood algorithm. Finally, some general considerations in order to achieve a regular covariance matrix are also presented.

 Fuente: Journal of Cosmology and Astroparticle Physics, Vol. 2017, Iss. 2, Art. Num. 022

 Editorial: IOP Publishing

 Fecha de publicación: 01/02/2017

 Nº de páginas: 36

 Tipo de publicación: Artículo de Revista

 DOI: 10.1088/1475-7516/2017/02/022

 ISSN: 1475-7516

 Proyecto español: CSD2010-00064 : ESP2015-70646-C2-1-R : AYA2015-64508-P

 Proyecto europeo: info:eu-repo/grantAgreement/EC/H2020/687312/EU/Ultimate modelling of Radio foregrounds: a key/RADIOFOREGROUNDS/

 Url de la publicación: https://doi.org/10.1088/1475-7516/2017/02/022