Wide-Orbit Exoplanet Demographics

Bennett, David P.; Akeson, Rachel; Alibert, Yann; Anderson, Jay; Bachelet, Etienne; Beaulieu, Jean-Phillipe; Bellini, Andrea; Bhattacharya, Aparna; Boss, Alan; Bozza, Valerio; Bryson, Stephen; Buzasi, Derek; Novati, Sebastiano Calchi; Christiansen, Jessie; Domagal-goldman, Shawn D.; Endl, Michael; Fulton, Benjamin J.; Henderson, Calen B.; Gaudi, B. Scott; Johnson, Samson A.; ... (2019). Wide-Orbit Exoplanet Demographics (arXiv). Cornell University

[img] Text
1903.08187.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (2MB) | Request a copy

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.

Item Type:

Working Paper

Division/Institute:

08 Faculty of Science > Physics Institute > Space Research and Planetary Sciences > Theoretical Astrophysics and Planetary Science (TAPS)
08 Faculty of Science > Physics Institute > Space Research and Planetary Sciences
08 Faculty of Science > Physics Institute
08 Faculty of Science > Physics Institute > NCCR PlanetS

UniBE Contributor:

Alibert, Yann Daniel Pierre

Subjects:

500 Science
500 Science > 520 Astronomy
500 Science > 530 Physics
600 Technology > 620 Engineering

Series:

arXiv

Publisher:

Cornell University

Language:

English

Submitter:

Janine Jungo

Date Deposited:

29 May 2020 17:56

Last Modified:

05 Dec 2022 15:38

ArXiv ID:

1903.08187v1

BORIS DOI:

10.7892/boris.143128

URI:

https://boris.unibe.ch/id/eprint/143128

Actions (login required)

Edit item Edit item
Provide Feedback