126 citations · 495 across the 20 of their papers we have counts for
20 papers
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…
Public transport challenges and technology-assisted accessibility for visually impaired elderly residents in urban environments
Jason Pan, Ben Moews
Independent navigation is central to social participation and health for vulnerable populations. While historic cities such as Edinburgh often feature well-established public trans…
Permanent and transitory crime risk in variable-density hot spot analysis
Ben Moews
Crime prevention measures, aiming for the effective and efficient spending of public resources, rely on the empirical analysis of spatial and temporal data for public safety outcom…
Evaluating utility in synthetic banking microdata applications
Hugo E. Caceres, Ben Moews
Financial regulators such as central banks collect vast amounts of data, but access to the resulting fine-grained banking microdata is severely restricted by banking secrecy laws.…
ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients
P. J. Pessi, R. Durgesh, L. Nakazono +11
Context. Transient astronomical events that exhibit no discernible association with a host galaxy are commonly referred to as hostless. These rare phenomena are associated with ext…
SCADDA: Spatio-temporal cluster analysis with density-based distance augmentation and its application to fire carbon emissions
Ben Moews, Antonia Gieschen
Spatio-temporal clustering occupies an established role in various fields dealing with geospatial analysis, spanning from healthcare analysis to environmental science. One major ch…
On random number generators and practical market efficiency
Ben Moews
Modern mainstream financial theory is underpinned by the efficient market hypothesis, which posits the rapid incorporation of relevant information into asset pricing. Limited prior…
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…
Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes
Ben Moews, Romeel Davé, Sourav Mitra +2
While cosmological dark matter-only simulations relying solely on gravitational effects are comparably fast to compute, baryonic properties in simulated galaxies require complex hy…
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.…
Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning
Ben Moews, Gbenga Ibikunle
Standard methods and theories in finance can be ill-equipped to capture highly non-linear interactions in financial prediction problems based on large-scale datasets, with deep lea…
Filaments of crime: Informing policing via thresholded ridge estimation
Ben Moews, Jaime R. Argueta, Antonia Gieschen
Objectives: We introduce a new method for reducing crime in hot spots and across cities through ridge estimation. In doing so, our goal is to explore the application of density rid…
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.…
Photometry of high-redshift blended galaxies using deep learning
Alexandre Boucaud, Marc Huertas-Company, Caroline Heneka +11
The new generation of deep photometric surveys requires unprecedentedly precise shape and photometry measurements of billions of galaxies to achieve their main science goals. At su…
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…
Lagged correlation-based deep learning for directional trend change prediction in financial time series
Ben Moews, J. Michael Herrmann, Gbenga Ibikunle
Trend change prediction in complex systems with a large number of noisy time series is a problem with many applications for real-world phenomena, with stock markets as a notoriousl…
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks
Levi Fussell, Ben Moews
Astronomy of the 21st century increasingly finds itself with extreme quantities of data. This growth in data is ripe for modern technologies such as deep image processing, which ha…
Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus
T. Cantat-Gaudin, A. Krone-Martins, N. Sedaghat +13
Open clusters (OCs) are popular tracers of the structure and evolutionary history of the Galactic disk. The OC population is often considered to be complete within 1.8 kpc of the S…