Cosmological constraints from harmonic space analysis of DES Y3 3x2 clustering
arXiv (Cornell University)(2023)
摘要
The large-scale distribution of matter, as mapped by photometric surveys like
the Dark Energy Survey (DES), serves as a powerful probe into cosmology. It is
especially sensitive to both the amplitude of mass fluctuation ($\sigma_8$) and
the total matter density ($\Omega_m$). The fiducial analysis of 2-point
clustering statistics of these surveys is invariably done in configuration
space where complex masking scheme is easier to handle. However, such an
analysis inherently mixes different scales together, requiring special care in
modeling. In this study, we present an analysis of DES Y3 3x2 clustering data
in harmonic space where small and large scales are better separated and can be
neatly modeled using perturbative techniques. Using conservative scale cuts and
a comprehensive treatment for astrophysical effects, we model the clustering
data under a linear bias model for galaxies as well as under a third-order
biasing prescription. For our fiducial analysis, we get $S_8 \equiv \sigma_8
\sqrt{\Omega_m/0.3} = 0.789\pm0.020$, consistent with the configuration space
analysis presented by the DES collaboration, although with a preference for
slightly lower $\Omega_m$ and a higher $\sigma_8$. The analysis sets the stage
for a future search for signatures of primordial non-Gaussianity and
blue-tilted isocurvature perturbations from photometric surveys.
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关键词
cosmological constraints,harmonic space analysis,des y3,clustering
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