Probabilistic mass-mapping with neural score estimation

B Remy, F Lanusse, N Jeffrey, J Liu, JL Starck… - Astronomy & …, 2023 - aanda.org
Context. Weak lensing mass-mapping is a useful tool for accessing the full distribution of
dark matter on the sky, but because of intrinsic galaxy ellipticies, finite fields, and missing …

Map-based cosmology inference with lognormal cosmic shear maps

SS Boruah, E Rozo… - Monthly Notices of the …, 2022 - academic.oup.com
Most cosmic shear analyses to date have relied on summary statistics (eg ξ+ and ξ−). These
types of analyses are necessarily suboptimal, as the use of summary statistics is lossy. In …

Bayesian reconstruction of dark matter distribution from peculiar velocities: accounting for inhomogeneous Malmquist bias

SS Boruah, G Lavaux, MJ Hudson - Monthly Notices of the Royal …, 2022 - academic.oup.com
We present a Bayesian velocity field reconstruction algorithm that performs the
reconstruction of the mass density field using only peculiar velocity data. Our method …

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 …

Accurate field-level weak lensing inference for precision cosmology

AJ Zhou, X Li, S Dodelson, R Mandelbaum - Physical Review D, 2024 - APS
We present miko, a catalog-to-cosmology pipeline for general flat-sky field-level inference,
which provides access to cosmological information beyond the two-point statistics. In the …

Making the leap. Part I. Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics

A Barthelemy, A Halder, Z Gong… - Journal of Cosmology …, 2024 - iopscience.iop.org
The last few years have seen the development of a promising theoretical framework for
statistics of the cosmic large-scale structure—the theory of large deviations (LDT) for …

Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey

E Tsaprazi, NM Nguyen, J Jasche… - … of Cosmology and …, 2022 - iopscience.iop.org
As a large-scale overdensity collapses, it affects the orientation and shape of galaxies that
form, by exerting tidal shear along their axes. Therefore, the shapes of elliptical galaxies …

Stage IV baryonic feedback correction for non-Gaussianity inference

D Grandón, E Sellentin - Monthly Notices of the Royal …, 2025 - academic.oup.com
Non-Gaussian statistics of the projected weak lensing field are powerful estimators that can
outperform the constraining power of the two-point functions in inferring cosmological …

Accurate kappa reconstruction algorithm for masked shear catalog

Y Shi, P Zhang, Z Sun, Y Wang - Physical Review D, 2024 - APS
Weak gravitational lensing is an invaluable tool for understanding fundamental
cosmological physics. An unresolved issue in weak lensing cosmology is to accurately …