A new citizen science project launched today by the European Space Agency (ESA) and the Euclid Consortium, in collaboration with the Zooniverse platform, will enable volunteers from around the world to identify the shapes of millions of galaxies in images taken by ESA's Euclid space telescope. The aim of the initiative is to train deep AI neural networks to build the largest morphology catalogue to date. In November 2023 and May 2024, the world got its first glimpse at the quality of Euclid’s images, targeting a variety of sources, from nearby nebulas to distant clusters of galaxies. And

The IACTEC headquarters has recently hosted the meeting between the engineering team behind the future European Solar Telescope and an international panel composed of some of the world's leading experts in the development of large telescopes and solar observation instrumentation. It is common for major scientific projects to undergo this type of scrutiny during their development as a way to independently verify their quality and viability. The evaluation process began over a month ago with the submission of all the design documentation to the reviewers. In this case, the evaluation focused

The Instituto de Astrofísica de Canarias (IAC) is hosting during this week the Second SONG Scientific Conference, which brings to an end the first decade of high level studies with this international network designed to study the interiors of the stars and the planetary systems which orbit them.