Detection in Gravitational Wave - A Review
Abstract
Gravitational waves, first predicted by Albert Einstein in 1916, are tiny ripples in the fabric of spacetime caused by some of the most violent events in the universe, such as the collision of black holes and neutron stars. Their ability to directly detect these signals has significantly changed the game in astrophysics, opening up new avenues for researchers to observe and understand cosmic events that were previously inaccessible with conventional telescopes. This review examines the principal methodologies employed in the detection of gravitational waves, highlighting their importance in scientific progress, the challenges faced, and the technological advancements that have supported their development over time. This paper examines the principles and advancements of ground-based interferometers, such as LIGO, Virgo, and KAGRA, which have successfully confirmed Einstein’s predictions and ushered in the era of gravitational-wave astronomy. It also examines pulsar timing arrays, which use networks of rapidly rotating neutron stars to detect low-frequency waves, and space-based detectors such as the upcoming LISA mission, designed to observe massive black hole mergers in quieter frequency bands. Emerging techniques, including atom interferometry and quantum-enhanced detection, are attracting attention as promising approaches to enhance sensitivity and expand the range of gravitational-wave detection capabilities in the future. By examining these various approaches, this review highlights how the combination of technological advancements, theoretical insights, and international collaboration continually enhances the precision of gravitational-wave measurements. Gravitational-wave detection not only validates fundamental physics but also opens a powerful new observational window into the origins, structure, and evolution of our universe.
Fields of Study & Subjects
Pulsars and Gravitational Waves Research
Geophysics and Sensor Technology
Astrophysical Phenomena and Observations
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026