Accurate <i>N</i> -body simulations with local primordial non-Gaussianities: Initial conditions and aliasing

The new generation of galaxy surveys designed to constrain local primordial non-Gaussianity (PNG) requires N -body simulations that accurately reproduce its effects. In this work, we explore various prescriptions for the initial conditions of simulations with PNG, seeking to optimise accuracy and minimise numerical errors, particularly due to aliasing. We used 186 runs that vary the starting redshift, Lagrangian Perturbation Theory (LPT) order, and non-Gaussianities ( f NL local and g NL local ). Starting with third order LPT (3LPT) at a redshift as low as z start ≃ 11.5 reproduces to &lt; 1% the power spectrum, bispectrum, and halo mass function of a high-resolution reference simulation. The aliasing induced by the PNG terms in the power spectrum produces a ≤3% excess for small-scales at the initial conditions. This excess drops below 0.1% by z = 0. State-of-the-art initial condition generators show a sub-percent agreement. We show that initial conditions for simulations with PNG should be established at a lower redshift using higher-order LPT schemes. We also show that removing the PNG aliasing signal is unnecessary for current simulations. The methodology proposed here can accelerate the generation of simulations with PNG while enhancing their accuracy.

Authors

Institutions

Publication Details

Journal
Astronomy and Astrophysics
Published
2025-11-12
DOI
https://doi.org/10.1051/0004-6361/202556174
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accurate N -body simulations with local primordial non-Gaussianities: Initial conditions and aliasing

Oliver Hahn, Gustavo Yepes, Violeta González-Pérez, Santiago Avila et al.
Astronomy and Astrophysics
Galaxies: Formation, Evolution, Phenomena
article

Accurate N -body simulations with local primordial non-Gaussianities: Initial conditions and aliasing

Oliver Hahn, Gustavo Yepes, Violeta González-Pérez, Santiago Avila, A. G. Adame, Marc Manera
article en

Abstract

The new generation of galaxy surveys designed to constrain local primordial non-Gaussianity (PNG) requires N -body simulations that accurately reproduce its effects. In this work, we explore various prescriptions for the initial conditions of simulations with PNG, seeking to optimise accuracy and minimise numerical errors, particularly due to aliasing. We used 186 runs that vary the starting redshift, Lagrangian Perturbation Theory (LPT) order, and non-Gaussianities ( f NL local and g NL local ). Starting with third order LPT (3LPT) at a redshift as low as z start ≃ 11.5 reproduces to &lt; 1% the power spectrum, bispectrum, and halo mass function of a high-resolution reference simulation. The aliasing induced by the PNG terms in the power spectrum produces a ≤3% excess for small-scales at the initial conditions. This excess drops below 0.1% by z = 0. State-of-the-art initial condition generators show a sub-percent agreement. We show that initial conditions for simulations with PNG should be established at a lower redshift using higher-order LPT schemes. We also show that removing the PNG aliasing signal is unnecessary for current simulations. The methodology proposed here can accelerate the generation of simulations with PNG while enhancing their accuracy.

Astronomy and AstrophysicsVol. 705
Universitat Autònoma de Barcelona (ES), University of Vienna (AT), Consejo Superior de Investigaciones Científicas (ES), Institute for High Energy Physics (ES), Universidad Autónoma de Centro América (CR), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), Universidad Autónoma de Madrid (ES)
Openalex Percentile: Top 76%
Galaxies: Formation, Evolution, Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.