Researchers uncover evidence for sibling supernovas
Research
Physicists have identified possible remnants of two exploded stars that were once paired before they each blew up.
New model refines search for habitable planets
News
Researchers have developed the Smaller Than Earth Habitability Model (STEHM) to assess which planets can maintain life-supporting atmospheres, focusing on size and atmospheric dynamics.
How the Rubin Observatory maps the universe every night
Video
NSF-DOE Vera C. Rubin Observatory will run the Legacy Survey of Space and Time (LSST) and build a 10-year time lapse of the entire Southern sky. Find out what goes into unlocking the cosmic data.
Jonathan Luk tackles the mathematics of black holes
News
The Stanford mathematician’s black hole research is opening up new questions about Einstein’s theory of general relativity and the nature of the universe.
What it takes to keep astronauts safe in deep space
Q&A
The Artemis II mission launches this week as a first step toward returning to the moon and reaching Mars. Materials scientist Debbie Senesky explains the material tech that makes these missions possible.
Rubin Observatory launches real-time alerts for night sky monitoring
Research
NSF-DOE Rubin Observatory’s rapid monitoring of supernovae, asteroids, and other astronomical events marks a historic milestone in astrophysics.
Stanford scientists reveal oldest map of the night sky
In the News
Researchers at the SLAC National Accelerator Laboratory discuss using X-ray beams to uncover a long-lost map of the universe.
SLAC experts explore dark energy and cosmic mysteries
Q&A
Cosmologists Josh Frieman and Risa Wechsler share how the Dark Energy Survey is paving the way for future research.
Rubin Observatory spots fastest-spinning asteroid of its size
Research
The first peer-reviewed study using data from the SLAC-built LSST Camera identifies an asteroid nearly eight football fields long that spins once every two minutes.
AI advances robot navigation on the International Space Station
Research
Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions.