Towards unveiling the large-scale nature of gravity with the wavelet scattering transform
Georgios Valogiannis, Francisco Villaescusa-Navarro, Marco Baldi

TL;DR
This paper demonstrates that the Wavelet Scattering Transform (WST) significantly improves constraints on modified gravity parameters using 3D large-scale structure data, outperforming traditional matter power spectrum analyses.
Contribution
First application of WST to constrain gravity with 3D cosmological data, showing substantial improvement over power spectrum methods in parameter estimation.
Findings
WST yields a tenfold improvement in constraining deviations from General Relativity.
WST enhances precision on $ m u$CDM parameters and neutrino masses by factors of 1.2-3.4.
WST remains effective at larger scales, providing 4.5 times tighter constraints on MG parameters at $k_{max}=0.2$ h/Mpc.
Abstract
We present the first application of the Wavelet Scattering Transform (WST) in order to constrain the nature of gravity using the three-dimensional (3D) large-scale structure of the universe. Utilizing the Quijote-MG N-body simulations, we can reliably model the 3D matter overdensity field for the f(R) Hu-Sawicki modified gravity (MG) model down to h/Mpc. Combining these simulations with the Quijote CDM collection, we then conduct a Fisher forecast of the marginalized constraints obtained on gravity using the WST coefficients and the matter power spectrum at redshift z=0. Our results demonstrate that the WST substantially improves upon the 1 error obtained on the parameter that captures deviations from standard General Relativity (GR), yielding a tenfold improvement compared to the corresponding matter power spectrum result. At the same time, the WST also…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Computational Physics and Python Applications · Geomagnetism and Paleomagnetism Studies
