TL;DR
This paper introduces a fast, accurate emulator for predicting the halo mass function across various non-standard cosmologies, trained on extensive N-body simulations, enabling efficient cosmological analysis.
Contribution
The authors develop and publicly release a novel Gaussian process-based emulator for the halo mass function in $f(R)$ and $w$CDM cosmologies, extending previous models to larger parameter spaces.
Findings
Emulator achieves ~1.5% error for $w$CDM and ~4% for $f(R)$CDM at $z=0$.
Predicts halo mass functions for redshifts up to 1.5 and halo masses above $10^{13}\,h^{-1}M_\odot$.
Provides self-estimated errors based on cosmological parameters, halo mass, and redshift.
Abstract
In this work, we present a novel emulator of the halo mass function, which we implement in the framework of the e-mantis emulator of gravity models. We also extend e-mantis to cover a larger cosmological parameter space and to include models of dark energy with a constant equation of state CDM. We use a Latin hypercube sampling of the CDM and CDM cosmological parameter spaces, over a wide range, and realize a large suite of more than -body simulations of different volume, mass resolution and random phase of the initial conditions. For each simulation in the suite, we generate halo catalogues using the friends-of-friends halo finder, as well as the spherical overdensity algorithm for different overdensity thresholds. We decompose the corresponding halo mass functions on a B-spline basis, and use this decomposition to train an emulator based on Gaussian…
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