Probabilistic mass-mapping with neural score estimation
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 …
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 …
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
We present a Bayesian velocity field reconstruction algorithm that performs the
reconstruction of the mass density field using only peculiar velocity data. Our method …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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 …
cosmological physics. An unresolved issue in weak lensing cosmology is to accurately …