181 citations · 265 across the 10 of their papers we have counts for
7 papers · 1 filter
A guide to choosing data compression methods for cosmological inference
Susan Pyne, Benjamin Joachimi, Calum Gordon +1
We provide a pedagogical guide to help researchers choose an appropriate compression method for cosmological inference and numerical covariance estimation, trading off the balance…
Transfer learning for multifidelity simulation-based inference in cosmology
Alex A. Saoulis, Davide Piras, Niall Jeffrey +3
Simulation-based inference (SBI) enables cosmological parameter estimation when closed-form likelihoods or models are unavailable. However, SBI relies on machine learning for neura…
Psi-GAN: A power-spectrum-informed generative adversarial network for the emulation of large-scale structure maps across cosmologies and redshifts
Prabh Bhambra, Benjamin Joachimi, Ofer Lahav +1
Simulations of the dark matter distribution throughout the Universe are essential in order to analyse data from cosmological surveys. -body simulations are computationally expen…
Fast and realistic large-scale structure from machine-learning-augmented random field simulations
Davide Piras, Benjamin Joachimi, Francisco Villaescusa-Navarro
Producing thousands of simulations of the dark matter distribution in the Universe with increasing precision is a challenging but critical task to facilitate the exploitation of cu…
COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys
A. Spurio Mancini, D. Piras, J. Alsing +2
We present , a suite of neural cosmological power spectrum emulators providing orders-of-magnitude acceleration for parameter estimation from two-point statistics…
Relations between three-point configuration space shear and convergence statistics
X. Shi, P. Schneider, B. Joachimi
With the growing interest in and ability of using weak lensing studies to probe the non-Gaussian properties of the matter density field, there is an increasing need for the study o…
Controlling intrinsic-shear alignment in three-point weak lensing statistics
X. Shi, B. Joachimi, P. Schneider
Three-point weak lensing statistics provide cosmic information complementary to that of two-point statistics. However, both statistics suffer from intrinsic-shear alignment, which…