
Enigmatic crownlike surface formations on Venus hold keys to understanding our twin planet’s deep interior. Or so says a new paper presented at the recent European Geosciences Union 2026 general assembly in Vienna.

Enigmatic crownlike surface formations on Venus hold keys to understanding our twin planet’s deep interior. Or so says a new paper presented at the recent European Geosciences Union 2026 general assembly in Vienna.

We may be getting better images of the Milky Way's supermassive black hole in the future. Astronomers used 10 years of observations of a distant blazar to detect turbulence in the Milky Way's interstellar medium. This turbulence makes images of Sagittarius A-star blurry.

A study of NASA's Black Marble data reveals a pattern of regional volatility in nighttime illumination across the planet.

For ten years, astronomers at UCLA have been pointing one of the world's most powerful radio telescopes at the stars and listening. Not for pulsars or gas clouds, or the hiss of the cosmic microwave background, but for something far more extraordinary. A signal from another civilisation. The result of a decade's work, 70,000 stars, and 100 million candidate signals is now in and every single one of them was us! But far from being a disappointment, the findings are among the most rigorous and revealing in the history of the search for extraterrestrial intelligence.

University of Cincinnati astrophysicist Paul Smith is part of an international team studying TOI-2031Ab, a gas giant orbiting a star 901 light years from Earth. Smith and his colleagues used the James Webb Space Telescope to study its atmosphere.

One of the core community surveys of NASA’s Nancy Grace Roman Space Telescope, the Galactic Bulge Time-Domain Survey, is expected to locate over a thousand exoplanets that orbit far away from their stars, beyond the orbital distance of Earth from the Sun. Although Roman hasn’t launched yet, astronomers already are gathering useful supporting data by utilizing NASA's Hubble Space Telescope, which could assist astronomers in analyzing Roman data.

Every time an astronomer points a telescope at a distant supernova, they're trying to measure how far away it is. But the light from these stellar explosions arrives tangled up with interference from dust, the age of the host galaxy and the chemical make up of the original star . Unpicking it all has always been a painstaking business. Now a team of researchers has used artificial intelligence to cut through the noise in a single step, potentially making cosmological measurements four times more precise. In a universe full of unanswered questions, that's a very significant leap forward.