The Exoplanet Population Observation Simulator. I. The Inner Edges of Planetary Systems
By G. Mulders, Ilaria Pascucci, D. Apai, F. Ciesla. Astronomical Journal, 2018
166 citations recorded by the source corpus.
The Kepler survey provides a statistical census of planetary systems out to the habitable zone. Because most planets are non-transiting, orbital architectures are best estimated using simulated observations of ensemble populations. Here, we introduce EPOS, the Exoplanet Population Observation Simulator, to estimate the prevalence and orbital architectures of multi-planet systems based on the latest Kepler data release, DR25. We estimate that at least 42% of Sun-like stars have nearly coplanar planetary systems with seven or more exoplanets. The fraction of stars with at least one planet within 1 au could be as high as 100% depending on assumptions about the distribution of single transiting planets. We estimate an occurrence rate of planets in the habitable zone around Sun-like stars of η⊕ = 36 ± 14%. The innermost planets in multi-planet systems are clustered around an orbital period of 10 days (0.1 au), reminiscent of the protoplanetary disk inner edge, or which could be explained by a planet trap at that location. Only a small fraction of planetary systems have the innermost planet at long orbital periods, with fewer than ≈8% and ≈3% having no planet interior to the orbit of Mercury and Venus, respectively. These results reinforce the view that the solar system is not a typical planetary system, but an outlier among the distribution of known exoplanetary systems. We predict that at least half of the habitable zone exoplanets are accompanied by (non-transiting) planets at shorter orbital periods, hence knowledge of a close-in exoplanet could be used as a way to optimize the search for Earth-size planets in the Habitable Zone with future direct imaging missions.
Subfields: Astronomy and Astrophysics
View Paper: https://www.semanticscholar.org/paper/5277c356b6b15f290095bb13474d1c5bdf133e58
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In Astronomy and Astrophysics
- G. Mulders
- Ilaria Pascucci
- Rachel B. Fernandes
- C. Mordasini
- A. Emsenhuber
- Y. Alibert
- Th. Henning
- H. Klahr
Citations in the corpus
- Hints for a Turnover at the Snow Line in the Giant Planet Occurrence Rate (2018, methodology): “We use the planet candidate list and survey completeness from the latest DR25 Kepler data release (Mathur et al. 2017; Thompson et al. 2018) as described in Mulders et al. (2018).”