A study led by Anelise Audibert, a researcher at the Instituto de Astrofísica de Canarias (IAC), reveals a process that explains the peculiar morphology of the central region of the Teacup galaxy, a massive quasar located 1.3 billion light-years away from us. This object is characterized by the presence of expanding gas bubbles produced by winds emanating from its central supermassive black hole. The study confirms that a compact jet, only visible at radio waves, is altering the shape and increasing the temperature of the surrounding gas, blowing bubbles that expand laterally. These findings

An international team of researchers, among them scientists from the Instituto de Astrofísica de Canarias (IAC), has confirmed the primitive origen of an old star in the Milky Way, using the ESPRESSO instrument. The stars with the least content of metals are considered to be the oldest in the Milky Way, formed only a few hundred million years after the Big Bang, which is a small fraction of the age of the universe. These stars are “living fossils” whose chemical composition gives clues about the first stages of the evolution of the universe. The star SMSS1605-1443 was discovered in 2018 and

The infrared camera DRAGO-2, developed by the team at IACTEC-Space and integrated into the satellite carrier ION-scv007 Glorious Gratia of the Italian company D-Orbit is now in orbit around the Earth after its successful launch yesterday on board a Falcon 9 rocket of Space-X. The Transporter-6 mission of SpaceX lifted off without a hitch at 14: 56 UT from platform 40 of the Space Force Station at Cape Canaveral, Florida (USA). Yesterday afternoon students, families, the media and IACTEC personnel were in the viewing room which had been installed in the multi-use area of IACTEC in the

The Anatomical Pathology service of the Complejo Hospitalario Universitario de Canarias (HUC) and the Instituto de Astrofísica de Canarias (IAC) are partners in the development of a computer application adapting artificial intelligence tools used in astronomy to digitised images of human tissue. The project, called “Patolog-IA”, aims to speed up the interpretation of test results and the diagnosis of colorectal cancer. It is expected that it will also be useful for personalised medicine oriented to other kinds of cancer. Colorectal cancer is one of the most aggressive types of cancer and the