Chris Van Den Broeck

A faster technique improves parameter estimation of gravitational waves.

Scientists investigate the extreme conditions and unique matter in neutron stars.

cDVGAN improves synthetic data for gravitational waves and glitches, aiding detection methods.

Faster methods for analyzing gravitational waves using neural networks show promise.

Research focuses on identifying faint lensed gravitational-wave signals for deeper cosmic insights.

New methods enhance gravitational wave parameter estimation for neutron star mergers.

Recent gravitational wave detection offers insights into General Relativity and cosmic events.

Research into gravitational waves reveals vital information about cosmic events and the universe's nature.

Scientists tackle glitches to better analyze gravitational waves.