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An Analytically Tractable Marked Power Spectrum
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The increasing precision of cosmology data in the modern era is calling for methods to allow the extraction of non-Gaussian information using tools beyond two-point statistics. The marked power spectrum has the potential to extract beyond two-point information in a computationally efficient way while using much of the infrastructure already available for the power-spectrum. In this work we explore the marked power spectrum from an analytical perspective. In particular, we explore a low-order polynomial for the mark that allows us to better control the theoretical uncertainties and we show that with minimal new degrees of freedom the analytical results match measurements from N-body simulations for both the matter field and biased tracers in redshift space. Finally, we show that even within the limited forms of mark that we consider, there are degeneracies that can be broken by inclusion of the marked auto-spectrum or the cross-spectrum with the unmarked field. We discuss future theoretical developments that would enable us to apply this approach to survey data.
Forward citations
Cited by 2 Pith papers
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A theoretical approach to density-split clustering
Density-split correlation functions can be modeled analytically through the two-point density PDF; a large-deviation-theory version matches N-body simulations on large scales with a single fitted variance parameter.
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Weighted Webs: Morphology-Informed Marked Fields
Morphology-based marks (tidal shear and local fractal dimension) add a modest but complementary ~10% Fisher-information gain over density-only marked power spectra for cosmological parameters.
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