An international team composed of Drs. Sylvain G. Korzennik, from the Center for Astrophysics | Harvard & Smithsonian , and Antonio Eff-Darwich Peña, from the University of La Laguna and the Instituto de Astrofísica de Canarias, has published a pioneering study aimed at improving our understanding of the Sun’s internal structure. The work, published in The Astrophysical Journal , stands out for its use of exceptionally long helioseismic time series, exceeding twenty-five years of continuous observations, to analyze the deepest layers of the Sun. Helioseismology is the study of patterns of

From 2–6 March 2026, Ghent University will host a landmark event at the intersection of astrophysics and artificial intelligence. Jointly organized by the EDUCADO , MWGaiaDN , and alongside a third partnering TALES , all MSCA Doctoral Networks. The EDUCADO Training School on Astro–AI and Machine Learning will bring together leading experts and early-career researchers to tackle the data challenges of modern science. The five-day programme offers a blend of expert-led lectures and hands-on training sessions. The curriculum focuses on high-impact fields, including artificial intelligence

A team of cosmologists from the Institute of Astrophysics of Andalusia (IAA-CSIC) and the Institute of Astrophysics of the Canary Islands (IAC) has obtained the most accurate census to date of the dark matter halos of the Universe. The work is based on the development of a new model, called GPS+, capable of predicting how many dark matter halos exist at each stage of cosmic history. In the universe, there are enormous invisible structures surrounding galaxies and galaxy clusters. These are dark matter halos, concentrations of matter that do not emit light and cannot be directly observed, but