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</script>handle: 11336/186920
The Transit Timing Variation (TTV) method relies on monitoring changes in timing of transits of known exoplanets. Non-transiting planets in the system can be inferred from TTVs by their gravitational interaction with the transiting planet. The TTV method is sensitive to low-mass planets that cannot be detected by other means. Here we describe a fast algorithm that can be used to determine the mass and orbit of the non-transiting planets from the TTV data. We apply our code, ttvim.f, to a wide variety of planetary systems to test the uniqueness of the TTV inversion problem and its dependence on the precision of TTV observations. We find that planetary parameters, including the mass and mutual orbital inclination of planets, can be determined from the TTV datasets that should become available in near future. Unlike the radial velocity technique, the TTV method can therefore be used to characterize the inclination distribution of multi-planet systems.
Earth and Planetary Astrophysics (astro-ph.EP), https://purl.org/becyt/ford/1.7, CELESTIAL MECHANICS, PLANETARY SYSTEMS, FOS: Physical sciences, https://purl.org/becyt/ford/1, Astrophysics - Earth and Planetary Astrophysics
Earth and Planetary Astrophysics (astro-ph.EP), https://purl.org/becyt/ford/1.7, CELESTIAL MECHANICS, PLANETARY SYSTEMS, FOS: Physical sciences, https://purl.org/becyt/ford/1, Astrophysics - Earth and Planetary Astrophysics
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 34 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
