The neural network was trained on thousands of stars observed with the FLAMES instrument on the Very Large Telescope (VLT) in the Gaia-ESO survey.
A new method developed by an interdisciplinary team of astrophysicists and statisticians uses a neural network to estimate the surface temperature and age of young stars based solely on photometric observations from the European Space Agency's Gaia satellite and the 2MASS collaboration.
Both Gaia BH2 and Gaia BH3 have dormant black holes that show no X-ray emissions.
Bouma, Andrew Boyle, and Andrew Mann from the University of North Carolina Chapel Hill combined data from NASA's TESS mission, ESA's Gaia spacecraft, and the Sloan Digital Sky Survey (SDSS).
The integration of stellar motions from Gaia, rotations from TESS, and chemistry from SDSS revealed a coherent picture of the Greater Pleiades Complex.
ESA's Gaia telescope and NASA's James Webb Space Telescope are expected to provide important data regarding possible distant planets in this system.
The upcoming fourth data release from Gaia will include improved positions and motions for Milky Way stars, including variable stars like Cepheids.
Machine learning applied to Gaia's data showed that the rotational gap aligns almost exactly with predictions from the team's new spin evolution model.
The better data from Gaia will help scientists create improved maps and advance understanding of characteristic features in the Milky Way.
Gaia revealed a ripple pattern by mapping the positions and vertical movements of young giant stars and Cepheid variables.
Gaia's all-sky survey generated a vast catalogue of asteroid light curves, enabling scientists to chart their spin rates.
Gaia's all-sky survey has captured vast amounts of light-curve data, showing how asteroid brightness changes as they spin.
Zhou's team used machine learning to analyze Gaia's asteroid catalogue and confirmed that the dividing line matches their model's predictions.
The Gaia project required massive computational resources to generate high-resolution 3D maps.
Future Gaia data releases are expected to extend coverage beyond the current 4000 light-year limit.
Gaia was retired after more than 11 years in space due to running out of cold gas propellant.
The European Space Agency (ESA) sent its last messages to the Gaia spacecraft on March 27, 2025.
The fifth and final data release will contain all of Gaia's data and is expected to be released in the 2030s.
Gaia conducted its last observation on January 15, 2025.
Gaia measured the precise positions and motions of 1.46 billion objects in space.