PNG-UNITsims: Halo clustering response to primordial non-Gaussianities as a function of mass
Adrian G. Adame (UAM/IFT), Santiago Avila (IFAE), Violeta, Gonzalez-Perez (UAM), Gustavo Yepes (UAM), Marcos Pellejero (IfA), Mike S., Wang (IfA), Chia-Hsun Chuang (U.Utah), Yu Feng (BCCP), Juan Garcia-Bellido, (IFT/UAM), Alexander Knebe (UAM)

TL;DR
This paper introduces the PNG-UNITsim, the largest N-body simulation with local primordial non-Gaussianities, to study halo clustering response and constrain non-Gaussianity parameters across different halo masses.
Contribution
It provides the first detailed analysis of halo bias response to primordial non-Gaussianities using a high-resolution, matched initial condition simulation, revealing deviations from the universality relation.
Findings
Halo bias parameter p varies with halo mass.
Low-mass haloes show p<1 at 3σ, deviating from universality.
Forecasts improve constraints on f_NL with informed priors.
Abstract
We present the largest full N-body simulation to date with local primordial non-Gaussianities (L-PNG), the \textsc{PNG-UNITsim}. It tracks the evolution of particles within a periodic box with , leading to a mass resolution of . This is enough to resolve galaxies targeted by stage-IV spectroscopic surveys. The \textsc{PNG-UNIT} has \textit{Fixed} initial conditions whose phases are also \textit{Matched} to the pre-existing \textsc{UNIT} simulation. These two features in the simulations reduce our uncertainty significantly so we use 100 \textsc{FastPM} mocks to estimate this reduction. The amplitude of the non-Gaussianities used to set the initial conditions of this new simulation is . In this first study, we use mass selected dark matter haloes from the…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Scientific Research and Discoveries
