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Asymptotic connection between full- and flat-sky angular correlators

We investigate the connection between the full- and flat-sky angular power spectra. First, we revisit this connection established on the geometric and physical grounds, namely, that the angular correlations on the sphere and in the plane (flat-sky approximation) correspond to each other in the limit...

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Detalles Bibliográficos
Autores principales: Gao, Zucheng, Raccanelli, Alvise, Vlah, Zvonimir
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:https://dx.doi.org/10.1103/PhysRevD.108.043503
http://cds.cern.ch/record/2866762
Descripción
Sumario:We investigate the connection between the full- and flat-sky angular power spectra. First, we revisit this connection established on the geometric and physical grounds, namely, that the angular correlations on the sphere and in the plane (flat-sky approximation) correspond to each other in the limiting case of small angles and a distant observer. To establish the formal conditions for this limit, we first resort to a simplified shape of the 3D power spectrum, which allows us to obtain analytic results for both the full- and flat-sky angular power spectra. Using a saddle point approximation, we find that the flat-sky results are obtained in the limit when the comoving distance and wave modes <math display="inline"><mo>ℓ</mo></math> approach infinity at the same rate. This allows us to obtain an analogous asymptotic expansion of the full-sky angular power spectrum for general 3D power spectrum shapes, including the <math display="inline"><mi mathvariant="normal">Λ</mi></math> cold dark matter universe. In this way, we find a robust limit of correspondence between the full- and flat-sky results. These results also establish a mathematical relation, i.e., an asymptotic expansion of the ordinary hypergeometric function of a particular choice of arguments that physically corresponds to the flat-sky approximation of a distant observer. This asymptotic form of the ordinary hypergeometric function is obtained in two ways: relying on our saddle point approximation and using some of the known properties of the hypergeometric function.