Large-scale dark matter simulations
We review the field of collisionless numerical simulations for the large-scale structure of the
Universe. We start by providing the main set of equations solved by these simulations and …
Universe. We start by providing the main set of equations solved by these simulations and …
UniverseMachine: The correlation between galaxy growth and dark matter halo assembly from z = 0−10
We present a method to flexibly and self-consistently determine individual galaxies' star
formation rates (SFRs) from their host haloes' potential well depths, assembly histories, and …
formation rates (SFRs) from their host haloes' potential well depths, assembly histories, and …
The astropy project: Building an open-science project and status of the v2. 0 core package
Abstract The Astropy Project supports and fosters the development of open-source and
openly developed Python packages that provide commonly needed functionality to the …
openly developed Python packages that provide commonly needed functionality to the …
COLOSSUS: A python toolkit for cosmology, large-scale structure, and dark matter halos
B Diemer - The Astrophysical Journal Supplement Series, 2018 - iopscience.iop.org
This paper introduces C olossus, a public, open-source python package for calculations
related to cosmology, the large-scale structure (LSS) of matter in the universe, and the …
related to cosmology, the large-scale structure (LSS) of matter in the universe, and the …
corrfunc – a suite of blazing fast correlation functions on the CPU
M Sinha, LH Garrison - Monthly Notices of the Royal …, 2020 - academic.oup.com
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 galaxy …
spatial distribution of galaxies. Since the distribution of galaxies is determined by galaxy …
nbodykit: An open-source, massively parallel toolkit for large-scale structure
We present nbodykit, an open-source, massively parallel Python toolkit for analyzing large-
scale structure (LSS) data. Using Python bindings of the Message Passing Interface, we …
scale structure (LSS) data. Using Python bindings of the Message Passing Interface, we …
AbacusHOD: a highly efficient extended multitracer HOD framework and its application to BOSS and eBOSS data
We introduce the AbacusHOD model and present two applications of AbacusHOD and the
AbacusSummit simulations to observations. AbacusHOD is a Halo Occupation Distribution …
AbacusSummit simulations to observations. AbacusHOD is a Halo Occupation Distribution …
nautilus: boosting Bayesian importance nested sampling with deep learning
JU Lange - Monthly Notices of the Royal Astronomical Society, 2023 - academic.oup.com
We introduce a novel approach to boost the efficiency of the importance nested sampling
(INS) technique for Bayesian posterior and evidence estimation using deep learning. Unlike …
(INS) technique for Bayesian posterior and evidence estimation using deep learning. Unlike …
The clustering of DESI-like luminous red galaxies using photometric redshifts
We present measurements of the redshift-dependent clustering of a DESI-like luminous red
galaxy (LRG) sample selected from the Legacy Survey imaging data set, and use the halo …
galaxy (LRG) sample selected from the Legacy Survey imaging data set, and use the halo …
First results from the JWST Early Release Science Program Q3D: Turbulent times in the life of az∼ 3 extremely red quasar revealed by NIRSpec IFU
Extremely red quasars, with bolometric luminosities exceeding 10 47 erg s− 1, are a
fascinating high-redshift population that is absent in the local universe. They are the best …
fascinating high-redshift population that is absent in the local universe. They are the best …