Equivalence of the field-level inference and conventional analyses on large scales
Francesco Spezzati, Marco Marinucci, Marko Simonovi\'c

TL;DR
This paper demonstrates that field-level inference and conventional large-scale analyses yield similar results, showing limited additional information from higher-order statistics beyond the trispectrum, and discusses discrepancies with recent likelihood-free methods.
Contribution
It provides a detailed comparison between field-level inference and traditional analyses, highlighting their agreement and the limited gains from higher-order statistics in large-scale cosmological parameter estimation.
Findings
Eulerian perturbation theory accurately describes large-scale dark matter halos
Adding the trispectrum reduces the error on amplitude by only 20-30%
Field-level inference and conventional methods produce consistent results
Abstract
We study a simple setup with dark matter halos in real space, with the amplitude of the linear density field as the only free cosmological parameter. We show that Eulerian perturbation theory is adequate for describing this system on large scales, compute the leading -point functions and perform a joint power spectrum, bispectrum and trispectrum analysis. Beyond the bispectrum which is crucial for breaking the degeneracy between and the linear bias, we find that addition of the trispectrum reduces the error on by only . Our results for the joint analysis are in good agreement with recent field-level analyses in the same setup. This implies that the field-level inference on large scales does not get significant information from large displacements beyond those in Eulerian kernels or higher-order -point functions beyond the trispectrum. We provide further…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Astronomy and Astrophysical Research
