Constraining with the Bispectrum I: Breaking Parameter Degeneracies
arXiv:1909.11107 · doi:10.1088/1475-7516/2020/03/040
Abstract
Massive neutrinos suppress the growth of structure below their free-streaming scale and leave an imprint on large-scale structure. Measuring this imprint allows us to constrain the sum of neutrino masses, , a key parameter in particle physics beyond the Standard Model. However, degeneracies among cosmological parameters, especially between and , limit the constraining power of standard two-point clustering statistics. In this work, we investigate whether we can break these degeneracies and constrain $\smnu$ with the next higher-order correlation function --- the bispectrum. We first examine the redshift-space halo bispectrum of -body simulations from the HADES suite and demonstrate that the bispectrum helps break the -- degeneracy. Then using 22,000 -body simulations of the Quijote suite, we quantify for the first time the full information content of the redshift-space halo bispectrum down to nonlinear scales using a Fisher matrix forecast of , , , , , . For , the bispectrum provides , , , , and constraints 1.9, 2.6, 3.1, 3.6, and 2.6 times tighter than the power spectrum. For , the bispectrum improves the 1 constraint from 0.2968 to 0.0572 eV --- over 5 times tighter than the power spectrum. Even with priors from {\em Planck}, the bispectrum improves constraints by a factor of 1.8. Although we reserve marginalizing over a more complete set of bias parameters to the next paper of the series, these constraints are derived for a box, a substantially smaller volume than upcoming surveys. Thus, our results demonstrate that the bispectrum offers significant improvements over the power spectrum, especially for constraining .
33 pages, 13 figures
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