Ripples in spacetime, known as gravitational waves, are being used to determine the ancestry of black holes. These waves, first theorised by Albert Einstein, are offering insights into how black holes form and evolve. Scientists have uncovered that the spin of a black hole can indicate whether it originated from repeated mergers in densely packed star clusters. This finding has the potential to transform our understanding of black hole formation and growth.

Study Links Black Hole Spin to Ancestry

According to a study published in Physical Review Letters, a team of researchers led by Fabio Antonini from Cardiff University’s School of Physics and Astronomy examined 69 gravitational wave events. The findings suggest that when a black hole reaches a certain mass, its spin undergoes a shift. This change aligns with models that propose black holes grow through sequential mergers in star clusters.

As reported by Live Science, Isobel Romero-Shaw, a researcher at the University of Cambridge, stated that the study provides a data-driven method to identify a black hole’s origin. The spin of high-mass black holes was found to be a strong indicator of their formation in regions where smaller black holes frequently collide and merge.

Gravitational Waves as Cosmic Identifiers

Gravitational waves are generated when massive objects, such as black holes, accelerate through space. The Laser Interferometer Gravitational-Wave Observatory (LIGO) and Virgo Observatory have detected multiple signals from black hole mergers since 2015, confirming Einstein’s predictions. The study highlights that gravitational waves can be read like a cosmic birth certificate, revealing the formation history of black holes.

Thomas Callister, a researcher at the University of Chicago, mentioned that the results will aid in refining computer simulations of black hole formation. With upcoming observatories such as the Einstein Telescope and the Laser Interferometer Space Antenna (LISA), further discoveries are anticipated in the field of black hole research.