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Doctoral thesis
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English

Observing exoplanet populations with high-precision astrometry

Contributors

Sahlmann, Johannes

Directors

Queloz, Didier

Defense date

2012-06-28

Abstract

This thesis deals with the application of the astrometry technique, consisting in measuring the position of a star in the plane of the sky, for the discovery and characterisation of extra-solar planets. It is feasible only with a very high measurement precision, which motivates the use of space observatories, the development of new ground-based astronomical instrumentation and of innovative data analysis methods: The study of Sun-like stars with substellar companions using CORALIE radial velocities and HIPPARCOS astrometry leads to the determination of the frequency of close brown dwarf companions and to the discovery of a dividing line between massive planets and brown dwarf companions; An observation campaign employing optical imaging with a very large telescope demonstrates sufficient astrometric precision to detect planets around ultra-cool dwarf stars and the first results of the survey are presented; Finally, the design and initial astrometric performance of PRIMA, a new dual-feed near-infrared interferometric observing facility for relative astrometry is presented.

Keywords

  • Astronomie
  • Astronomy
  • Astrophysique
  • Astrophysics
  • Planète
  • Planet
  • Planètes
  • Planets
  • Extrasolaire
  • Extrasolar
  • Exoplanètes
  • Exoplanets
  • Astrometry
  • Brown dwarf
  • Interferometry
  • Instrumentation
  • Vitesses Radiales
  • Radial Velocities
  • Doppler
  • HARPS
  • CORALIE
  • PRIMA
  • FORS
  • HIPPARCOS

UNIGE affiliation entities

Citation (ISO format)

SAHLMANN, Johannes. Observing exoplanet populations with high-precision astrometry. Doctoral Thesis, 2012. doi: 10.13097/archive-ouverte/unige:22848

Main files (1)

Thesis

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Technical informations

Creation

30/08/2012 15:55:00

First validation

30/08/2012 15:55:00

Update

14/03/2023 17:40:34

Status update

14/03/2023 17:40:34

Last indexation

13/05/2025 16:05:23
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