How much information can be extracted from galaxy clustering at the field level?
arxiv(2024)
摘要
We present optimal Bayesian field-level cosmological constraints from
nonlinear tracers of the large-scale structure, specifically the amplitude
σ_8 of linear matter fluctuations inferred from rest-frame simulated
dark matter halos in a comoving volume of 8 (h^-1Gpc)^3. Our
constraint on σ_8 is entirely due to nonlinear information, and obtained
by explicitly sampling the initial conditions along with bias and noise
parameters via a Lagrangian EFT-based forward model, LEFTfield. The comparison
with a simulation-based inference analysis employing the power spectrum and
bispectrum likewise using the LEFTfield forward model shows that, when
including precisely the same modes of the same data up to k_max=
0.10 h Mpc^-1 (0.12 h Mpc^-1), the field-level
approach yields a factor of 1.7 (2.6) improvement on the σ_8 constraint,
from 9.9
into cosmological information encoded in galaxy clustering beyond low-order
n-point functions.
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