Dark Energy Survey Year 3 results: Simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps …

M Gatti, N Jeffrey, L Whiteway, J Williamson, B Jain… - Physical Review D, 2024 - APS
Beyond-two-point statistics contain additional information on cosmological as well as
astrophysical and observational (systematics) parameters. In this methodology paper we …

The large-scale velocity field from the Cosmicflows-4 data

Y Hoffman, A Valade, NI Libeskind… - Monthly Notices of …, 2024 - academic.oup.com
The reconstruction of the large-scale velocity field from the grouped Cosmicflows-4 (CF4)
database is presented. The lognormal bias of the inferred distances and velocities data is …

Map-based cosmology inference with weak lensing–information content and its dependence on the parameter space

SS Boruah, E Rozo - Monthly Notices of the Royal Astronomical …, 2024 - academic.oup.com
Field-level inference is emerging as a promising technique for optimally extracting
information from cosmological data sets. Previous analyses have shown field-based …

Bayesian mass mapping with weak lensing data using karmma: Validation with simulations and application to Dark Energy Survey year 3 data

SS Boruah, P Fiedorowicz, E Rozo - Physical Review D, 2024 - APS
We update the field-level inference code karmma to enable tomographic forward-modeling
of shear maps. Our code assumes a log-normal prior on the convergence field, and properly …

Growth-rate measurement with type-Ia supernovae using ZTF survey simulations

B Carreres, JE Bautista, F Feinstein, D Fouchez… - Astronomy & …, 2023 - aanda.org
Measurements of the growth rate of structures at z< 0.1 with peculiar velocity surveys have
the potential of testing the validity of general relativity on cosmic scales. In this work, we …

Statistically bias-minimized peculiar velocity catalogs from Gibbs point processes and Bayesian inference

JG Sorce, RS Stoica, E Tempel - Astronomy & Astrophysics, 2023 - aanda.org
The peculiar velocities of galaxies can serve as excellent cosmological probes provided that
the biases inherent to their measurements are contained prior to the start of any study. This …

Testing Bayesian reconstruction methods from peculiar velocities

A Valade, NI Libeskind, Y Hoffman… - Monthly Notices of the …, 2023 - academic.oup.com
Reconstructing the large-scale density and velocity fields from surveys of galaxy distances is
a major challenge for cosmography. The data are very noisy and sparse. Estimated …

Fast modeling of the shear three-point correlation function

S Sugiyama, RCH Gomes, M Jarvis - arXiv preprint arXiv:2407.01798, 2024 - arxiv.org
The three-point correlation function (3PCF) of a weak lensing shear field contains
information that is complementary to that in the two-point correlation function (2PCF), which …

Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms

Y Wang, X Yang - arXiv preprint arXiv:2406.14101, 2024 - arxiv.org
In this paper, we introduce a Unet model of deep learning algorithms for reconstructions of
the 3D peculiar velocity field, which simplifies the reconstruction process with enhanced …

Physical Processes Behind the Co-Evolution of Halos, Galaxies and Supermassive Black Holes in the IllustrisTNG Simulation

H Li, Y Chen, H Wang, H Mo - arXiv preprint arXiv:2409.06208, 2024 - arxiv.org
We explore the co-evolution of dark matter halos, their central galaxies, and central
supermassive black holes (SMBHs) using the IllustrisTNG (TNG) simulation. We find that the …