For dark matter halos at z=1, a tree-level three-parameter bias model with Poissonian shot noise describes the halo bispectrum up to k about 0.08 h/Mpc, and Bayesian model selection disfavours local Eulerian and Lagrangian bias models.
Multitracer technique for galaxy bispectrum - An application to constraints on non-local primordial non-Gaussianities -
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abstract
We explore the use of galaxy bispectra with multitracer technique as a possible probe of primordial non-Gaussianities. We forecast future constraints on non-linearity parameters, $f_{\rm NL}^{\rm eq}$ and $f_{\rm NL}^{\rm orth}$, which respectively characterize the equilateral- and orthogonal-types primordial bispectra, and show that the multitracer analysis would be effective with reducing the cosmic-variance noise if the number density of galaxies is high enough. We find that the measurement of galaxy bispectrum by future galaxy surveys can reach the constraints on the non-local type primordial non-Gaussianities to the level severer than current one which has been obtained by cosmic microwave background observations.
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astro-ph.CO 1years
2019 1verdicts
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Toward a robust inference method for the galaxy bispectrum: likelihood function and model selection
For dark matter halos at z=1, a tree-level three-parameter bias model with Poissonian shot noise describes the halo bispectrum up to k about 0.08 h/Mpc, and Bayesian model selection disfavours local Eulerian and Lagrangian bias models.