In a dark-matter-only simulation forecast, combining power spectrum multipoles with Minkowski functionals and tensors tightens constraints on neutrino mass and f(R) gravity parameters by factors of 1.5 to 3.4.
Joint Minkowski Functionals and Bispectrum Constraints on Non-Gaussianity in the CMB
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abstract
Two of the most commonly used tools to constrain the primordial non-Gaussianity are the bispectrum and the Minkowski functionals of CMB temperature anisotropies. These two measures of non-Gaussianity in principle provide distinct (though correlated) information, but in the past constraints from them have only been loosely compared, and not statistically combined. In this work we evaluate, for the first time, the covariance matrix between the local non-Gaussianity coefficient fnl estimated through the bispectrum and Minkowski functionals. We find that the estimators are positively correlated, with corerlation coefficient r ~ 0.3. Using the WMAP7 data to combine the two measures and accounting for the point-source systematics, we find the combined constraint fnl=37+/-28, which has a ~20% smaller error than either of the individual constraints.
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Probing massive neutrinos and modified gravity with redshift-space morphologies and anisotropies of large-scale structure
In a dark-matter-only simulation forecast, combining power spectrum multipoles with Minkowski functionals and tensors tightens constraints on neutrino mass and f(R) gravity parameters by factors of 1.5 to 3.4.