Analytic model for the matter power spectrum, its covariance matrix, and baryonic effects
Irshad Mohammed, Uros Seljak

TL;DR
This paper presents an analytic model for the matter power spectrum and its covariance matrix, incorporating baryonic effects and super-sample variance, enabling precise cosmological parameter estimation from large-scale structure data.
Contribution
The authors introduce a simple, accurate analytic model for the matter power spectrum and covariance matrix, including baryonic effects and super-sample variance, validated against simulations.
Findings
Model predicts power spectrum within a few percent up to k~0.7 h/Mpc.
Covariance matrix can be accurately modeled with a simple sum of Gaussian and variance terms.
Baryonic effects significantly impact higher-order coefficients, but not the zeroth coefficient.
Abstract
We develop a model for the matter power spectrum as the sum of Zeldovich approximation and even powers of , i.e., , compensated at low . With terms up to the model can predict the true power spectrum to a few percent accuracy up to , over a wide range of redshifts and models. The coefficients contain information about cosmology, in particular amplitude of fluctuations. We write a simple form of the covariance matrix as a sum of Gaussian part and variance, which reproduces the simulations remarkably well. In contrast, we show that one needs an N-body simulation volume of more than 1000 to converge to 1\% accuracy on covariance matrix. We investigate the super-sample variance effect and show it can be modeled as an additional parameter that can be determined from the data. This allows a…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
