Bibcode
Parviainen, H.
Bibliographical reference
Handbook of Exoplanets, ISBN 978-3-319-55332-0. Springer International Publishing AG, part of Springer Nature, 2018, id.149
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2018
Citations
6
Refereed citations
5
Description
Exoplanet research is carried out at the limits of the capabilities of
current telescopes and instruments. The studied signals are weak and
often embedded in complex systematics from instrumental, telluric, and
astrophysical sources. Combining repeated observations of periodic
events, simultaneous observations with multiple telescopes, different
observation techniques, and existing information from theory and prior
research can help to disentangle the systematics from the planetary
signals and offers synergistic advantages over analyzing observations
separately. Bayesian inference provides a self-consistent statistical
framework that addresses both the necessity for complex systematics
models and the need to combine prior information and heterogeneous
observations. This chapter offers a brief introduction to Bayesian
inference in the context of exoplanet research, with focus on time
series analysis, and finishes with an overview of a set of freely
available programming libraries.
Related projects
Exoplanets and Astrobiology
The search for life in the universe has been driven by recent discoveries of planets around other stars (known as exoplanets), becoming one of the most active fields in modern astrophysics. The growing number of new exoplanets discovered in recent years and the recent advance on the study of their atmospheres are not only providing new valuable
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