In the Spotlight: Héloïse Stevance
This article will take approximately ~3 minute to read
Héloïse Stevance, a Schmidt AI in Science Fellow the University of Oxford, explains how her role blends astronomy, computer science and machine learning.
This article will take approximately ~3 minute to read
Héloïse Stevance, a Schmidt AI in Science Fellow the University of Oxford, explains how her role blends astronomy, computer science and machine learning.
This article will take approximately ~1 minute to read
The University of Oxford is highlighting how its researchers are helping to maximise the impact of the Rubin Observatory.
This article will take approximately ~2 minute to read
We asked Terry Sloan, part of the Rubin LSST:UK Project Management Team, why he feels inspired by the Rubin LSST.
This article will take approximately ~5 minute to read
Clara Marie Pennock tells us how the supereme depth and coverage of the Rubin LSST is set to provide new insights into active galactic nuclei (AGN).
This article will take approximately ~2 minute to read
The first peer-reviewed paper to use LSST Camera data has highlighted the fastest-ever spinning asteroid, named 2025 MN45.
This article will take approximately ~1 minute to read
Have you got the skills to help improve the identification of astrophysical transients, variables, and moving objects?