TESS Data Reveals 27 New Planet Candidates in Binary Systems

Artist's concept of a circumbinary planet, which is an exoplanet that orbits two stars. (Credit: NASA's Goddard Space Flight Center/Chris Smith (USRA))

You’re doing some late afternoon work on the habitat as part of humanity’s first exoplanet settlement, but the sun is going down so you’re trying to speed things up. Just as the light dims, everything suddenly starts getting brighter. You look up and see the sun starting to rise again, except it’s your second sun. You kick yourself for not checking the daily sunrise and sunset logs, but you’re happy you get to put in a bit more work before you eat dinner.

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More Data and Machine Learning has Kicked SETI Into High Gear

For over sixty years, astronomers and astrophysicists have been engaged in the Search for Extraterrestrial Intelligence (SETI). This consists of listening to other star systems for signs of technological activity (or “technosignatures), such as radio transmissions. This first attempt was in 1960, known as Project Ozma, where famed SETI researcher Dr. Frank Drake (father of the Drake Equation) and his colleagues used the Robert C. Byrd Green Bank Telescope in West Virginia to conduct a radio survey of Tau Ceti and Epsilon Eridani. Since then, the vast majority of SETI surveys have similarly looked for narrowband radio signals since they are very good at propagating through interstellar space. However, the biggest challenge has always been how to filter out radio transmissions on Earth – aka. radio frequency interference (RFI). In a recent study, an international team led by the Dunlap Institute for Astronomy and Astrophysics (DIAA) applied a new deep-learning algorithm to data collecte...

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