126 citations · 495 across the 20 of their papers we have counts for
7 papers · 1 filter
Weak Lensing by Photometric Density Ridges
Mehraveh Nikjoo, Joe Zuntz, Ben Moews
Ridges in galaxy density fields measured by photometric surveys are 2D projections of filaments in the cosmic web, and so should lens light from background galaxies. We report on a…
Physics-informed neural networks in the recreation of hydrodynamic simulations from dark matter
Zhenyu Dai, Ben Moews, Ricardo Vilalta +1
Physics-informed neural networks have emerged as a coherent framework for building predictive models that combine statistical patterns with domain knowledge. The underlying notion…
Photometric Redshift Uncertainties in Weak Gravitational Lensing Shear Analysis: Models and Marginalization
Tianqing Zhang, Markus Michael Rau, Rachel Mandelbaum +2
Recovering credible cosmological parameter constraints in a weak lensing shear analysis requires an accurate model that can be used to marginalize over nuisance parameters describi…
Ridges in the Dark Energy Survey for cosmic trough identification
Ben Moews, Morgan A. Schmitz, Andrew J. Lawler +6
Cosmic voids and their corresponding redshift-projected mass densities, known as troughs, play an important role in our attempt to model the large-scale structure of the Universe.…
On the road to percent accuracy II: calibration of the non-linear matter power spectrum for arbitrary cosmologies
Benjamin Giblin, Matteo Cataneo, Ben Moews +1
We introduce an emulator approach to predict the non-linear matter power spectrum for broad classes of beyond-CDM cosmologies, using only a suite of CDM -body simulations.…
Gaussbock: Fast parallel-iterative cosmological parameter estimation with Bayesian nonparametrics
Ben Moews, Joe Zuntz
We present and apply Gaussbock, a new embarrassingly parallel iterative algorithm for cosmological parameter estimation designed for an era of cheap parallel computing resources. G…
Stress testing the dark energy equation of state imprint on supernova data
Ben Moews, Rafael S. de Souza, Emille E. O. Ishida +4
This work determines the degree to which a standard Lambda-CDM analysis based on type Ia supernovae can identify deviations from a cosmological constant in the form of a redshift-d…