English

Wide-Orbit Exoplanet Demographics

Earth and Planetary Astrophysics 2019-03-21 v1

Abstract

The Kepler, K2 and TESS transit surveys are revolutionizing our understanding of planets orbiting close to their host stars and our understanding of exoplanet systems in general, but there remains a gap in our understanding of wide-orbit planets. This gap in our understanding must be filled if we are to understand planet formation and how it affects exoplanet habitability. We summarize current and planned exoplanet detection programs using a variety of methods: microlensing (including WFIRST), radial velocities, Gaia astrometry, and direct imaging. Finally, we discuss the prospects for joint analyses using results from multiple methods and obstacles that could hinder such analyses. We endorse the findings and recommendations published in the 2018 National Academy report on Exoplanet Science Strategy. This white paper extends and complements the material presented therein.

Keywords

Cite

@article{arxiv.1903.08187,
  title  = {Wide-Orbit Exoplanet Demographics},
  author = {David P. Bennett and Rachel Akeson and Yann Alibert and Jay Anderson and Etienne Bachelet and Jean-Phillipe Beaulieu and Andrea Bellini and Aparna Bhattacharya and Alan Boss and Valerio Bozza and Stephen Bryson and Derek Buzasi and Sebastiano Calchi Novati and Jessie Christiansen and Shawn D. Domagal-goldman and Michael Endl and Benjamin J. Fulton and Calen B. Henderson and B. Scott Gaudi and Samson A. Johnson and Naoki Koshimoto and Michael Meyer and Gijs D. Mulders and Susan Mullally and Ruth Murray-Clay and David Nataf and Eric Nielsen and Henry Ngo and Ilaria Pascucci and Matthew Penny and Peter Plavchan and Radek Poleski and Clement Ranc and Sean N. Raymond and Leslie Rogers and Johannes Sahlmann and Kailash C. Sahu and Joshua Schlieder and Yossi Shvartzvald and Alessandro Sozzetti and Rachel Street and Takahiro Sumi and Daisuke Suzuki and Neil Zimmerman},
  journal= {arXiv preprint arXiv:1903.08187},
  year   = {2019}
}

Comments

Astro2020 Science White paper

R2 v1 2026-06-23T08:13:14.932Z