203 citations · 736 across the 19 of their papers we have counts for
19 papers
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
Michael McCabe, Payel Mukhopadhyay, Tanya Marwah +22
Foundation models have transformed machine learning for language and vision, but achieving comparable impact in physical simulation remains a challenge. Data heterogeneity and unst…
Super-Resolution without High-Resolution Labels for Black Hole Simulations
Thomas Helfer, Thomas D. P. Edwards, Jessica Dafflon +2
Generating high-resolution simulations is key for advancing our understanding of one of the universe's most violent events: Black Hole mergers. However, generating Black Hole simul…
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
Alicja Polanska, Thibeau Wouters, Peter T. H. Pang +2
We present an accelerated pipeline, based on high-performance computing techniques and normalizing flows, for joint Bayesian parameter estimation and model selection and demonstrat…
Gravitational-Wave Parameter Estimation in non-Gaussian noise using Score-Based Likelihood Characterization
Ronan Legin, Maximiliano Isi, Kaze W. K. Wong +2
Gravitational-wave (GW) parameter estimation typically assumes that instrumental noise is Gaussian and stationary. Obvious departures from this idealization are typically handled o…
Birefringence tests of gravity with multi-messenger binaries
Macarena Lagos, Leah Jenks, Maximiliano Isi +7
Extensions to General Relativity (GR) allow the polarization of gravitational waves (GW) from astrophysical sources to suffer from amplitude and velocity birefringence, which respe…
Recalibrating Gravitational Wave Phenomenological Waveform Model
Kelvin K. H. Lam, Kaze W. K. Wong, Thomas D. P. Edwards
We investigate the possibility of improving the accuracy of the phenomenological waveform model, IMRPhenomD, by jointly optimizing all the calibration coefficients at once, given a…
Equivariant geometric convolutions for emulation of dynamical systems
Wilson G. Gregory, David W. Hogg, Ben Blum-Smith +3
Machine learning methods are increasingly being employed as surrogate models in place of computationally expensive and slow numerical integrators for a bevy of applications in the…
Constraining gravitational wave amplitude birefringence with GWTC-3
Thomas C. K. Ng, Maximiliano Isi, Kaze W. K. Wong +1
The propagation of gravitational waves can reveal fundamental features of the structure of spacetime. For instance, differences in the propagation of gravitational-wave polarizatio…
Fast gravitational wave parameter estimation without compromises
Kaze W. K. Wong, Maximiliano Isi, Thomas D. P. Edwards
We present a lightweight, flexible, and high-performance framework for inferring the properties of gravitational-wave events. By combining likelihood heterodyning, automatically-di…
ripple: Differentiable and Hardware-Accelerated Waveforms for Gravitational Wave Data Analysis
Thomas D. P. Edwards, Kaze W. K. Wong, Kelvin K. H. Lam +4
We propose the use of automatic differentiation through the programming framework jax for accelerating a variety of analysis tasks throughout gravitational wave (GW) science. First…
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study
David Ruhe, Kaze Wong, Miles Cranmer +1
We propose parameterizing the population distribution of the gravitational wave population modeling framework (Hierarchical Bayesian Analysis) with a normalizing flow. We first dem…
flowMC: Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Kaze W. K. Wong, Marylou Gabrié, Daniel Foreman-Mackey
flowMC is a Python library for accelerated Markov Chain Monte Carlo (MCMC) leveraging deep generative modeling. It is built on top of the machine learning libraries JAX and Flax. A…
A Sun-like star orbiting a black hole
Kareem El-Badry, Hans-Walter Rix, Eliot Quataert +18
We report discovery of a bright, nearby () Sun-like star orbiting a dark object. We identified the system as a black hole candidate via its astrometri…
Nonlinear effects in black hole ringdown
Mark Ho-Yeuk Cheung, Vishal Baibhav, Emanuele Berti +8
We report evidence for nonlinear modes in the ringdown stage of the gravitational waveform produced by the merger of two comparable-mass black holes. We consider both the coalescen…
Automated discovery of interpretable gravitational-wave population models
Kaze W. K Wong, Miles Cranmer
We present an automatic approach to discover analytic population models for gravitational-wave (GW) events from data. As more gravitational-wave (GW) events are detected, flexible…
Backward Population Synthesis: Mapping the Evolutionary History of Gravitational-Wave Progenitors
Kaze W. K. Wong, Katelyn Breivik, Will M. Farr +1
One promising way to extract information about stellar astrophysics from gravitational wave catalogs is to compare the catalog to the outputs of stellar population synthesis modeli…
GRChombo: An adaptable numerical relativity code for fundamental physics
Tomas Andrade, Llibert Areste Salo, Josu C. Aurrekoetxea +29
GRChombo is an open-source code for performing Numerical Relativity time evolutions, built on top of the publicly available Chombo software for the solution of PDEs. Whilst GRChomb…
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +25
We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containi…
The Missing Link in Gravitational-Wave Astronomy: Discoveries waiting in the decihertz range
Manuel Arca Sedda, Christopher P. L. Berry, Karan Jani +27
The gravitational-wave astronomical revolution began in 2015 with LIGO's observation of the coalescence of two stellar-mass black holes. Over the coming decades, ground-based detec…