See also stories tagged with Cosmology
Just a few hundred million years after the Big Bang, the universe was a dark and simple place. There were no galaxies like the Milky Way, no planets, and no heavy elements such as carbon or oxygen. Instead, vast clouds of ...
A stunningly concentrated and hefty galaxy cluster, from a time in the universe's history when such massive structures aren't expected to have fully formed yet, is challenging cosmic evolution theories. Across a series of ...
Dr. Shing-Chi Leung, assistant professor of physics at SUNY Polytechnic Institute, has published the article "Primordial Black Hole Triggered Type Ia Supernovae II: Comparison with Supernova Remnants and Galactic Chemical ...
Between the mid-1970s and early 1980s, two physicists, Michael Hart and Frank Tipler, published a controversial series of papers arguing that extraterrestrial intelligence didn't exist. As they argued, the likelihood that ...
A University of Birmingham scientist has built a "mini-universe" that takes a step toward answering one of science's biggest questions: "What is time?" Publishing his findings in Physical Review Research, Professor Giovanni ...
The European Space Agency (ESA) has officially adopted ARRAKIHS as a scientific mission, confirming the target launch date of 2030. Matthieu Schaller is part of the science team: "I look forward to learning more about the ...
After only four short years, NASA's James Webb Space Telescope (JWST) and observational cosmologists like Richard Ellis at University College London (UCL) have pushed the cosmic lookback time to an era when the universe's ...
Our universe's expansion is still accelerating despite recent claims suggesting otherwise, an international team of astrophysicists says.
The complex puzzle known as little red dots has become more complete since their initial discovery by NASA's James Webb Space Telescope in 2022. Now a particular little red dot's spectrum is helping connect many of the pieces.
A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer learning could dramatically reduce the computational cost of searching for new physics beyond the standard ...
