Chapter
The Unusual Objects in Space.
55:04 - 1:03:48 (08:44)
The barycenter, the center of mass, lives between the two celestial bodies like on a balancing arm. It appeared unusual that the dip observed in the Kepler data corresponded to a Neptune-sized moon around a Jupiter-sized planet, as objects beyond half an AU and an order of tenth of Jupiter mass up to 10 Jupiter masses seem to be somewhat unusual.
Clips
The effort to discover exomoons has been ongoing for years, and even though nothing has been found for a while, Dr. David Kipping continues his search which he finds intellectually challenging and meaningful.
55:04 - 56:22 (01:18)
Summary
The effort to discover exomoons has been ongoing for years, and even though nothing has been found for a while, Dr. David Kipping continues his search which he finds intellectually challenging and meaningful.
ChapterThe Unusual Objects in Space.
Episode#355 – David Kipping: Alien Civilizations and Habitable Worlds
PodcastLex Fridman Podcast
A planet and a moon orbiting around their barycenter will reach that point (the barycenter) faster than expected when the moon transits the planet, because of how the barycenter functions.
56:22 - 1:01:49 (05:26)
Summary
A planet and a moon orbiting around their barycenter will reach that point (the barycenter) faster than expected when the moon transits the planet, because of how the barycenter functions. Objects of certain sizes and masses outside of half the distance of Earth and the Sun, and anything between 0.1 and 10 Jupiter masses, are unusual. The dip seen in the Kepler data stemmed from a Neptune-sized moon around a Jupiter-sized planet.
ChapterThe Unusual Objects in Space.
Episode#355 – David Kipping: Alien Civilizations and Habitable Worlds
PodcastLex Fridman Podcast
Experts discuss the challenges of predicting outcomes in space exploration and how seemingly small discrepancies in data can drastically affect predictions.
1:01:49 - 1:03:48 (01:59)
Summary
Experts discuss the challenges of predicting outcomes in space exploration and how seemingly small discrepancies in data can drastically affect predictions.