On planetary systems classification and Earth-like planet
- 1Institute of Physics, University of Bern, Switzerland
- 2Geneva Observatory, University of Geneva, Switzerland
Context: The detection of Earth-like planets is both one of the major goals of planetology and at the same time one of the most complicated. Earth-like planets are difficult to detect and imply a lot of observation time with the current detection methods. Currently only 0.06% of the confirmed exoplanets are similar to Earth by their masses and semi-major axis.
Aims: Here, a way to identify systems, which are likely to harbor an Earth-like planet, is considered. This can facilitate the selection of targets and reduce the time necessary for observations.
Methods: Mishra et. al 2022 (to be submitted) have developed a method for classifying planetary systems according to their architecture. Applied on generation III Bern model synthetic population, a class has been identified in which a majority of systems harbors an Earth-like planet. Using the same classification scheme now taking into account the observational bias, we investigate whether the observed class of a system (the one obtained only from observable planets) could help to find systems more likely to have an Earth-like planet.
Results: The classes in themselves with only the detectable planets are not sufficient to identify systems with an Earth-like planet, but the characteristics of the remaining planets and the prognostic of the intrinsic architecture is a solid base for such a conjecture
References: [1] Mishra L. et al. (2022) To be submitted. [2] Davoult J. In prep..
How to cite: Davoult, J., Mishra, L., and Alibert, Y.: On planetary systems classification and Earth-like planet, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-6, https://doi.org/10.5194/epsc2022-6, 2022.
