A forward modeling approach to analyzing galaxy clustering with SimBIG

CH Hahn, M Eickenberg, S Ho, J Hou… - Proceedings of the …, 2023 - National Acad Sciences
We present cosmological constraints from a simulation-based inference (SBI) analysis of
galaxy clustering from the SimBIG forward modeling framework. SimBIG leverages the …

AbacusHOD: a highly efficient extended multitracer HOD framework and its application to BOSS and eBOSS data

S Yuan, LH Garrison, B Hadzhiyska… - Monthly Notices of …, 2022 - academic.oup.com
We introduce the AbacusHOD model and present two applications of AbacusHOD and the
AbacusSummit simulations to observations. AbacusHOD is a Halo Occupation Distribution …

Breaking degeneracies in the first galaxies with clustering

JB Muñoz, J Mirocha, S Furlanetto… - Monthly Notices of the …, 2023 - academic.oup.com
The high-redshift galaxy UV luminosity function (UVLF) has become essential for
understanding the formation and evolution of the first galaxies. Yet, UVLFs only measure …

The MillenniumTNG Project: an improved two-halo model for the galaxy–halo connection of red and blue galaxies

B Hadzhiyska, D Eisenstein, L Hernquist… - Monthly Notices of …, 2023 - academic.oup.com
Approximate methods to populate dark-matter haloes with galaxies are of great utility to
galaxy surveys. However, the limitations of simple halo occupation models (HODs) preclude …

Modelling the galaxy–halo connection with machine learning

AM Delgado, D Wadekar, B Hadzhiyska… - Monthly Notices of …, 2022 - academic.oup.com
To extract information from the clustering of galaxies on non-linear scales, we need to model
the connection between galaxies and haloes accurately and in a flexible manner. Standard …

The galaxy formation origin of the lensing is low problem

J Chaves-Montero, RE Angulo… - Monthly Notices of the …, 2023 - academic.oup.com
Recent analyses show that ΛCDM-based models optimized to reproduce the clustering of
massive galaxies overestimate their gravitational lensing by about 30 per cent, the so-called …

The MillenniumTNG Project: inferring cosmology from galaxy clustering with accelerated N-body scaling and subhalo abundance matching

S Contreras, RE Angulo, V Springel… - Monthly Notices of …, 2023 - academic.oup.com
We introduce a novel technique for constraining cosmological parameters and galaxy
assembly bias using non-linear redshift-space clustering of galaxies. We scale cosmological …

Mangrove: Learning Galaxy Properties from Merger Trees

CK Jespersen, M Cranmer, P Melchior… - The Astrophysical …, 2022 - iopscience.iop.org
Efficiently mapping baryonic properties onto dark matter is a major challenge in
astrophysics. Although semianalytic models (SAMs) and hydrodynamical simulations have …

Consistent and simultaneous modelling of galaxy clustering and galaxy–galaxy lensing with subhalo abundance matching

S Contreras, RE Angulo… - Monthly Notices of …, 2023 - academic.oup.com
The spatial distribution of galaxies and their gravitational lensing signal offer complementary
tests of galaxy formation physics and cosmology. However, their synergy can only be fully …

Field-level simulation-based inference of galaxy clustering with convolutional neural networks

P Lemos, L Parker, CH Hahn, S Ho, M Eickenberg… - Physical Review D, 2024 - APS
We present the first simulation-based inference (SBI) of cosmological parameters from field-
level analysis of galaxy clustering. Standard galaxy clustering analyses rely on analyzing …