Workshops

Shedding light on Binary Black Hole Mergers with Numerical Simulations

Black hole formation in Randall-Sundrum II braneworlds

Variational discretizations of gauge field theories using group-equivariant interpolation spaces

Mitigating noise artifacts in gravitational-wave detector data in the era of open public alerts

Modeling compact mergers in the era of regular gravitational-wave observations

Public Lecture - Green Family Lecture Series: “From Einstein to Gravitational Waves"

Image-based deep learning to study transient noise in gravitational wave detectors

Wavefier: a prototype of real time classifier for transient signals

A binary black hole waveform generator trained on numerical relativity waveforms

Seeing Through Space Time

A Hamiltonian Monte Carlo Algorithm for Bayesian Interference of CBC sources

Singularity formation in black hole interiors: Polarized perturbations of Schwarzschild

High Post-Minkowskian Orders for Binary Systems

Accelerating CBC parameter estimation with multi-band frequency domain waveforms

Convolutional neural networks in phase space and inverse problems for nonlinear wave equations

The Post-merger Dynamics of Compact Objects: Tackling Long Timescales in Gravitational Wave Sources

Public Lecture - Green Family Lecture Series: “Gravitational Waves and a Future New Science"

Understanding GWs from core-collapse supernovae

The emission of gravitational waves in the explosion of single stars and stars in binary systems.

Variational models and algorithms for GW denoising and reconstruction: applications

Gravitational Waves from Detectors to Detection

Computational challenges in searches for gravitational waves from pulsars

Dendro-GR: Enabling Adaptivity & Parallelism for Computational Relativity

Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach