The European Space Agency’s Euclid mission released its first batch of survey data, including a preview of its deep fields. Using Artificial Intelligence (AI) algorithms in combination with citizen science campaigns, the Euclid Consortium scientific results include the discovery of strong gravitational lensing systems, the exploration of galaxy clusters and the cosmic web, the characterisation of active galactic nuclei (AGN) and quasars, studies on galaxy evolution and morphology, and the identification of numerous dwarf galaxies and transients. Spain has an important role in the Euclid

A team of astronomers led by ICE-CSIC analyzed for the first time a long radio-observation of a scallop-shell star in a pioneer study. The team observed the star using the Giant Metrewave Radio Telescope (GMRT) located in Pune (India), and related it to the photometric information from NASA’s Transiting Exoplanet Survey Satellite (TESS) and Las Cumbres Global Telescope Observatory. Scallop-shell stars are a recently discovered class of young M dwarfs. More than 70% of the stars in the Milky Way are M dwarfs, although there are only around 50 recently confirmed scallop-shell stars. They show

Research led by the Instituto de Astrofísica de Canarias (IAC) has used an innovative technique based on artificial intelligence to study how stars form in galaxies. By analysing 10 000 nearby galaxies, the team have discovered that most stars are born within their own galaxy. Galactic mergers, while important, are not the main source of new stars. Furthermore, the study reveals that more massive galaxies are more affected by these mergers. These results, published in Nature Astronomy, provide new clues about the complex history of galaxies and their evolution over time. Most galaxies do not