Gravitational-Wave Astronomy

Gravitational-wave astronomy studies ripples in spacetime to detect events such as black-hole and neutron-star mergers, measure their properties, and test gravity. Researchers analyze strain from ground-based detectors such as LIGO and Virgo and signals in pulsar timing arrays, using matched filtering and coherent searches alongside neural networks for detection, denoising, and glitch classification. Bayesian and simulation-based inference estimate source parameters, while waveform models and fast surrogates make those analyses more efficient; observations can also be compared with predictions from general relativity and searched for electromagnetic counterparts. A central challenge is preserving sensitivity and reliable uncertainty estimates in real, noisy detector data: learned methods must generalize beyond simulations, and some deviations from theory are difficult to distinguish even when models are accurate.