TL;DR
This paper investigates the information content in small-scale galaxy clustering using the halo model, revealing a non-linear regime where information surges again, termed the 'small scale miracle,' which could enhance cosmological constraints.
Contribution
It introduces a detailed analysis of the non-linear regime in galaxy power spectra, identifying a new regime of increasing information at small scales and discussing its implications for cosmology.
Findings
Information saturation occurs around k ~ 2 Mpc^{-1}.
Non-linear effects significantly impact covariance and information content.
High order statistics may further improve constraints in the small scale regime.
Abstract
Interest rises to exploit the full shape information of the galaxy power spectrum, as well as pushing analyses to smaller non-linear scales. Here I use the halo model to quantify the information content in the tomographic angular power spectrum of galaxies, for future high resolution surveys : Euclid and SKA2. I study how this information varies as a function of the scale cut applied, either with angular cut or physical cut kmax. For this, I use analytical covariances with the most complete census of non-Gaussian terms, which proves critical. I find that the Fisher information on most cosmological and astrophysical parameters follows a striking behaviour. Beyond the perturbative regime we first get decreasing returns : the information keeps rising but the slope slows down until reaching a saturation. The location of this plateau is a bit beyond the reach of current modeling…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
