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NASA To Announce New Exo-Planet Kepler Survey Results
On Thursday Dec. 14th NASA plans to announce the latest exo-planet
survey results using the Kepler Telescope. The new wrinkle here is that Google machine learning AI was employed to help with these newest discoveries. It will be interesting to see if we not only get new planets in the "Goldilocks Zone" but also of proper mass density for gravity close to 1g. In the past some of the most promising planet candidates have had proposed gravity of up to 2g. All other things being equal, I suppose it would be like living on Superman's home world of Krypton!* https://www.nasa.gov/press-release/n...ler-discovery/ Dave *A digression: As the DC comic was originally intended. Superman had super-strength due to evolving on a planet with much higher gravity than Earth which also accounted for a "higher molecular density", something akin to Mill's largely discredited Hydrino Theory. He could make amazing leaps, but in the original story, flying was right out. Also the bullet resistance was a feature of the costume not the man. At least IIRC the original story which tried to adhere a little closer to the known science of the 1930s. Which is why I like it so much. |
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NASA To Announce New Exo-Planet Kepler Survey Results
On 12/12/2017 10:31 AM, David Spain wrote:
On Thursday Dec. 14th NASA plans to announce the latest exo-planet survey results using the Kepler Telescope. The new wrinkle here is that Google machine learning AI was employed to help with these newest discoveries. It will be interesting to see if we not only get new planets in the "Goldilocks Zone" but also of proper mass density for gravity close to 1g. In the past some of the most promising planet candidates have had proposed gravity of up to 2g. All other things being equal, I suppose it would be like living on Superman's home world of Krypton!* Can anyone comment on how NASA came up with gravity estimates for past exo-planet discoveries? It's not just mass that matters but density. I suppose it's possible to estimate mass if you have a good approximation of the the home star's mass and the orbital period of the planet, but how about density? Is that largely an assumption based on what we seen in our own solar system, or is it something that can be revealed via observation? I could see spectral black body emission as one way to determine a planet's composition, but I would think that is beyond Kepler's ability? Dave |
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NASA To Announce New Exo-Planet Kepler Survey Results
On 12/12/2017 10:31 AM, David Spain wrote:
On Thursday Dec. 14th NASA plans to announce the latest exo-planet survey results using the Kepler Telescope. Today at 1pm EST USA. Live stream: https://www.nasa.gov/live Kepler Info: https://www.nasa.gov/kepler Dave |
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NASA To Announce New Exo-Planet Kepler Survey Results
8th planet found in Kepler-90 system (Kepler-90i). Matching number of
planets in our own for the first time. Dave |
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NASA To Announce New Exo-Planet Kepler Survey Results
On 12/14/2017 1:19 PM, David Spain wrote:
8th planet found in Kepler-90 system (Kepler-90i). Matching number of planets in our own for the first time. Dave Also not a "Goldilocks" planet. Likely no atmosphere and too hot. Dave |
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NASA To Announce New Exo-Planet Kepler Survey Results
On 12/12/2017 10:31 AM, David Spain wrote:
On Thursday Dec. 14th NASA plans to announce the latest exo-planet survey results using the Kepler Telescope. The new wrinkle here is that Google machine learning AI was employed to help with these newest discoveries. Machine learning was used to search a much larger number of signals through Kepler data than humans could in the same amount of time. Given results from Kepler-90, there are probably more discoveries extant in the Kepler data. Assuming there is funding available to provide the computer time. A good candidate for BOINC? https://en.wikipedia.org/wiki/Berkel...work_Computing https://en.wikipedia.org/wiki/List_o...uting_projects All code in Google in TensorFlow will be released soon. Dave |
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