14 citations · 14 across the 5 of their papers we have counts for
5 papers
Replicating weak-lensing summary-statistic covariances with normalizing flows
Joaquin Armijo, Leander Thiele, Jia Liu
We explore the ability of normalizing flow (NF) generative models to reproduce weak-lensing summary statistics when trained on a set of cosmological simulations. Our analysis focus…
Impact of Simulation Box Size for Weak Lensing: Replication and Super-Sample Effects
Akira Tokiwa, Adrian E. Bayer, Joaquin Armijo +6
We quantify the bias caused by small simulation box size on weak lensing observables and covariances, considering both replication and super-sample effects for a range of higher-or…
First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data
Jessica A. Cowell, Joaquin Armijo, Leander Thiele +7
We present the first application of marked angular power spectra to weak lensing data, using maps from the Subaru Hyper Suprime-Cam Year 1 (HSC-Y1) survey. Marked convergence field…
Cosmological constraints using Minkowski functionals from the first year data of the Hyper Suprime-Cam
Joaquin Armijo, Gabriela A. Marques, Camila P. Novaes +5
We use Minkowski functionals to analyse weak lensing convergence maps from the first-year data release of the Subaru Hyper Suprime-Cam (HSC-Y1) survey. Minkowski functionals provid…
Cosmology from HSC Y1 Weak Lensing with Combined Higher-Order Statistics and Simulation-based Inference
Camila P. Novaes, Leander Thiele, Joaquin Armijo +7
We present cosmological constraints from weak lensing with the Subaru Hyper Suprime-Cam (HSC) first-year (Y1) data, using a simulation-based inference (SBI) method. % We explore th…