Juno Measures the Heat Below Io's Restless Surface

The JunoCam instrument captured this image of the volcanic moon Io during Juno's flyby in December 2023. During this and the next flyby in February 2024, Juno used its Microwave Radiometer instrument to meausure the heat several meters under the moon's surface. Image Credit: NASA/JPL-Caltech/SwRI/MSSS. Image processing by Gerald Eichstädt

Juno's Microwave Radiometer (MWR) was built peer deep down into Jupiter's massive atmosphere. But during the spacecraft's extended mission, it's been studying the Galilean moons. During two flybys of volcanic Io, the spacecraft its MWR to measure the heat flowing from deep within the moon.

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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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