Constraining effective neutrino species with bispectrum of large scale structures
Yanlong Shi, Chen Heinrich, Olivier Dor\'e

TL;DR
This paper forecasts how galaxy bispectrum measurements can improve constraints on the effective number of neutrino species, $N_{eff}$, beyond current CMB limits, using Fisher analysis and BAO features.
Contribution
It demonstrates that bispectrum data from galaxy surveys can enhance $N_{eff}$ constraints, introducing a method to select informative triangle configurations to reduce computational costs.
Findings
Adding bispectrum data improves $N_{eff}$ constraints by 10-40% over Planck alone.
Combining bispectrum with power spectrum yields 5-30% further improvement.
Using BAO interference features allows efficient data analysis with minimal information loss.
Abstract
Relativistic and free-streaming particles like neutrinos leave imprints in large scale structures (LSS), providing probes of the effective number of neutrino species . In this paper, we use the Fisher formalism to forecast constraints from the bispectrum (B) of LSS for current and future galaxy redshift surveys, specifically using information from the baryon acoustic oscillations (BAOs). Modeling the galaxy bispectrum at the tree-level, we find that adding the bispectrum constraints to current CMB constraints from Planck can improve upon the Planck-only constraints on by about 10\% -- 40\% depending on the survey. Compared to the Planck + power spectrum (P) constraints previously explored in the literature, using Planck+P+B provides a further improvement of about 5\% -- 30\%. Besides using BAO wiggles alone, we also explore using the total…
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Radio Astronomy Observations and Technology · Neutrino Physics Research
