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Field-Level Comparison and Robustness Analysis of Cosmological N-body Simulations
Adrian E. Bayer, Francisco Villaescusa-Navarro, Sammy Sharief +6
We present the first field-level comparison of cosmological N-body simulations, considering various widely used codes: Abacus, CUBEPM, Enzo, Gadget, Gizmo, PKDGrav, and Ramses.…
Self-Similar Mass Accretion History in Scale-Free Simulations
John Soltis, Lehman Garrison
Using a scale-free -body simulation generated with the ABACUS -body code, we test the robustness of halo mass accretion histories via their convergence to self-similarity. We…
AbacusPNG: A modest set of simulations of local-type primordial non-Gaussianity in the DESI era
Boryana Hadzhiyska, Lehman Garrison, Daniel J. Eisenstein +1
A measurement of a primordial non-Gaussianity (PNG) signal through late- or early-Universe probes has the potential to transform our understanding of the physics of the primordial…
Mitigating the noise of DESI mocks using analytic control variates
Boryana Hadzhiyska, Martin J. White, Xinyi Chen +30
In order to address fundamental questions related to the expansion history of the Universe and its primordial nature with the next generation of galaxy experiments, we need to mode…
Convergence of halo statistics: code comparison between Rockstar and CompaSO using scale-free simulations
Sara Maleubre, Daniel J. Eisenstein, Lehman H. Garrison +1
In this study, we perform a halo-finder code comparison between Rockstar and CompaSO. Based on our previous analysis aiming at quantifying resolution of -body simulations by exp…
Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument
DESI Collaboration, A. G. Adame, J. Aguilar +261
The Dark Energy Spectroscopic Instrument (DESI) was designed to conduct a survey covering 14,000 deg over five years to constrain the cosmic expansion history through precise m…
A universal equation to predict from halo and galaxy catalogues
Helen Shao, Natalí S. M de Santi, Francisco Villaescusa-Navarro +13
We discover analytic equations that can infer the value of from the positions and velocity moduli of halo and galaxy catalogues. The equations are derived by combining…
Constraining accuracy of the pairwise velocities in -body simulations using scale-free models
Sara Maleubre, Daniel J. Eisenstein, Lehman H. Garrison +1
We present a continuation of an analysis that aims to quantify resolution of -body simulations by exploiting large (up to ) simulations of scale-free cosmologies run u…
Robust field-level inference with dark matter halos
Helen Shao, Francisco Villaescusa-Navarro, Pablo Villanueva-Domingo +13
We train graph neural networks on halo catalogues from Gadget N-body simulations to perform field-level likelihood-free inference of cosmological parameters. The catalogues contain…
Stringent constraints from small-scale galaxy clustering using a hybrid MCMC+emulator framework
Sihan Yuan, Lehman H. Garrison, Daniel J. Eisenstein +1
We present a novel simulation-based hybrid emulator approach that maximally derives cosmological and Halo Occupation Distribution (HOD) information from non-linear galaxy clusterin…
The DESI -body Simulation Project -- II. Suppressing sample variance with fast simulations
Zhejie Ding, Chia-Hsun Chuang, Yu Yu +19
Dark Energy Spectroscopic Instrument (DESI) will construct a large and precise three-dimensional map of our Universe. The survey effective volume reaches $\sim20\Gpchcube$. It is a…
The DESI -body Simulation Project I: Testing the Robustness of Simulations for the DESI Dark Time Survey
Cameron Grove, Chia-Hsun Chuang, Ningombam Chandrachani Devi +19
Analysis of large galaxy surveys requires confidence in the robustness of numerical simulation methods. The simulations are used to construct mock galaxy catalogs to validate data…
AbacusHOD: A highly efficient extended multi-tracer HOD framework and its application to BOSS and eBOSS data
Sihan Yuan, Lehman H. Garrison, Boryana Hadzhiyska +2
We introduce the AbacusHOD model and present two applications of AbacusHOD and the AbacusSummit simulations to observations. AbacusHOD is an HOD framework written in Python that is…
The halo light cone catalogues of \Abacus{AbacusSummit}
Boryana Hadzhiyska, Lehman H. Garrison, Daniel Eisenstein +1
We describe a method for generating halo catalogues on the light cone using the \Abacus{AbacusSummit} suite of -body simulations. The main application of these catalogues is the…
\textsc{CompaSO}: A new halo finder for competitive assignment to spherical overdensities
Boryana Hadzhiyska, Daniel Eisenstein, Sownak Bose +2
We describe a new method (\textsc{CompaSO}) for identifying groups of particles in cosmological -body simulations. \textsc{CompaSO} builds upon existing spherical overdensity (S…
AbacusSummit: A Massive Set of High-Accuracy, High-Resolution -Body Simulations
Nina A. Maksimova, Lehman H. Garrison, Daniel J. Eisenstein +3
We present the public data release of the AbacusSummit cosmological -body simulation suite, produced with the -body code on the Summit supercomputer of the…
The Cosmological -body Code
Lehman H. Garrison, Daniel J. Eisenstein, Douglas Ferrer +2
We present , a fast and accurate cosmological -body code based on a new method for calculating the gravitational potential from a static multipole mesh. The met…
Constructing high-fidelity halo merger trees in AbacusSummit
Sownak Bose, Daniel J. Eisenstein, Boryana Hadzhiyska +2
Tracking the formation and evolution of dark matter haloes is a critical aspect of any analysis of cosmological -body simulations. In particular, the mass assembly of a halo and…
Self-Similarity of -Nearest Neighbor Distributions in Scale-Free Simulations
Lehman H. Garrison, Tom Abel, Daniel J. Eisenstein
We use the -nearest neighbor probability distribution function (NN-PDF, Banerjee & Abel 2021) to assess convergence in a scale-free -body simulation. Compared to our previ…
Accuracy of power spectra in dissipationless cosmological simulations
Sara Maleubre, Daniel Eisenstein, Lehman H. Garrison +1
We exploit a suite of large \emph{N}-body simulations (up to N=) performed with \Abacus, of scale-free models with a range of spectral indices , to better understand and…
Good and Proper: Self-similarity of N-body Simulations with Proper Force Softening
Lehman H. Garrison, Michael Joyce, Daniel J. Eisenstein
Analysis of self-similarity in scale-free -body simulations reveals the spatial and temporal scales for which statistics measured in cosmological simulations are converged to th…
Testing dark matter halo properties using self-similarity
M. Leroy, L. Garrison, D. Eisenstein +2
We use self-similarity in N-body simulations of scale-free models to test for resolution dependence in the mass function and two-point correlation functions of dark matter halos. W…
Quantifying resolution in cosmological N-body simulations using self-similarity
Michael Joyce, Lehman Garrison, Daniel Eisenstein
We demonstrate that testing for self-similarity in scale-free simulations provides an excellent tool to quantify the resolution at small scales of cosmological N-body simulations.…
Corrfunc --- A Suite of Blazing Fast Correlation Functions on the CPU
Manodeep Sinha, Lehman H. Garrison
The two-point correlation function (2PCF) is the most widely used tool for quantifying the spatial distribution of galaxies. Since the distribution of galaxies is determined by gal…