Planets usually stay close to their host stars, tracing steady paths shaped by gravity. Yet some planets break free and drift ...

The FLAMINGO super simulation maps the universe from its earliest moments but finds galaxies cluster less than cosmological models predict, deepening a long-standing puzzle.

Astronomers used gravitational lensing to detect a supernova 10 billion light-years away, providing spatially separated images that help study cosmic expansion and early Universe events.

Berkeley, CA — Weak gravitational lensing is a uniquely promising way to learn how much dark matter there is in the Universe and how its distribution has evolved since the distant past. New work by a ...

We'd also be able to communicate with our own interstellar probes using the same method. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

Clumps and clusters of galaxies exhibit gravitational effects on the light-and-matter behind them due to the effects of weak gravitational lensing. In addition, arcs, multiple images of the same ...

If you’ve seen the first images from the James Webb Space Telescope (JWST) this week (and let’s face it, how could you not?), you might have heard the term “gravitational lensing” being thrown around.

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Gravitational lensing occurs when things with mass create ripples ...

A new way to measure the cosmic expansion rate could help resolve a long-standing cosmological crisis. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it ...

object like a bright quasar hidden behind it. But there has been a persistent mystery for over 20 years: Einstein’s general theory of relativity predicts there should be an odd number of images, yet ...

Pictures of gravitational lenses from the AGEL survey. The pictures are centred on the foreground galaxy and include the object name. These new gravitational lenses were found by a machine learning ...