A radio telescope works in a very similar way to a satellite dish, but instead of receiving television signals, it picks up radio waves produced by very energetic astrophysical objects, such as black holes in other galaxies. Can be used to receive light. For decades, these “radio galaxies” have been grouped into different types by astronomers to help us understand the origin and evolution of the universe.
Recently, dramatic improvements in radio telescopes around the world have not only revealed more and more of these radio galaxies, making it impossible for professional astronomers to see and classify each one individually. New variations have been introduced that have yet to be captured. Existing radio galaxy type. Instead of inventing new technical terms for different kinds of radio galaxies and trying to train people to recognize them, the RGZ EMU team has developed another technology that allows citizen scientists to participate more fully in research projects. Found a way.
The RGZ EMU team first asked experts to describe their selection of radio galaxies in technical terms, and then non-experts to describe them in plain English. Using the first AI-based approach developed by the team, we identified plain English descriptions containing the most scientific information. These descriptions, or “tags,” can now be used by anyone to describe the radio galaxy in a way that makes sense to English speakers, without any expert training. Not only is this work important to the RGZ EMU project, but as the amount of data continues to grow in many areas of science, this new AI approach will allow simplified language to accelerate research, collaboration, and communication. , which may be used in more situations.
Centered in Manchester, the study was conducted by researchers from the United Kingdom, China, Germany, the United States, the Netherlands, Australia, Mexico and Pakistan.Data, code and results are all available online.
