Based on the visual system of animals, which do not need high peripheral resolution in their field of view to solve different tasks, the ALeRCE astronomical broker team developed a new tool that will allow to know characteristics of new supernovae with high precision, quickly identifying their host galaxy.
The large volume of data that astronomical observation generates today is a challenge for scientists to search for new ways to process large volumes of images obtained per night. This situation will only increase when telescopes such as the Vera Rubin or ELT start to operate in the following years.
The Chilean virtual astronomical broker ALeRCE – dedicated to classifying time-varying astronomical objects reported by large telescopes that map the sky every night – presented in Ireland a new phase of its project, this time together with the ATLAS telescope network.
From the frontier between astronomy and data science, ALeRCE consolidates as the first astronomical broker to use artificial intelligence. A breakthrough in the optimization of the study of the avalanche of data perceived from the observable universe.
ALeRCE, a Chilean astronomy and data science project, will optimize the observation of the universe by incorporating big data techniques. Its role will be fundamental in the processing of data collected by the new observatory that will begin operating from the Coquimbo Region in 2024.
With the support of several universities and research centers in Chile and the United States, a group of Chilean scientists developed “ALeRCE”, a project that uses artificial intelligence to detect the most relevant events in the observable universe.