Results 11 to 20 of about 1,923 (221)

Understanding exoplanet formation, structure and evolution in 2010 [PDF]

Proceedings of the International Astronomical Union, 2010
AbstractIn this short review, we summarize our present understanding (and non-understanding) of exoplanet formation, structure and evolution, in the light of the most recent discoveries. Recent observations of transiting massive brown dwarfs seem to remarkably confirm the predicted theoretical mass-radius relationship in this domain.
G. Chabrier, J. Leconte, and I. Baraffe
openaire   +3 more sources

The Importance of Optical Wavelength Data on Atmospheric Retrievals of Exoplanet Transmission Spectra

The Astronomical Journal
Exoplanet transmission spectra provide rich information about the chemical composition, clouds, and temperature structure of exoplanet atmospheres. Most exoplanet transmission spectra only span infrared wavelengths (≳1 μ m), which can preclude crucial ...
Charlotte Fairman, Hannah R. Wakeford, Ryan J. MacDonald   +2 more
doaj   +3 more sources

Next-generation Improvements in Giant-exoplanet Evolutionary and Structural Models

The Astrophysical Journal
Many evolutionary models of giant exoplanets still rely on simplifying assumptions that are no longer adequate, given detailed constraints from Jupiter, Saturn, and modern exoplanet observations.
Ankan Sur, Roberto Tejada Arevalo, Adam Burrows, Yi-Xian Chen   +3 more
doaj   +3 more sources

A catalogue of exoplanet atmospheric retrieval codes [PDF]

, 2023
Exoplanet atmospheric retrieval is a computational technique widely used to infer properties of planetary atmospheres from remote spectroscopic observations.
MacDonald, Ryan J., Batalha, Natasha E.
core   +2 more sources

Exoplanet characterization using conditional invertible neural networks [PDF]

, 2023
Context. The characterization of the interior of an exoplanet is an inverse problem. The solution requires statistical methods such as Bayesian inference.
Ralf S. Klessen, Ksoll, Victor, Alibert, Yann, Daniel Walter, Willy Benz, Walter, Daniel, Benz, Willy, Ardizzone, Lynton, Ullrich Koethe, Haldemann, Jonas, Victor Ksoll, Jonas Haldemann, Rother, Carsten, Yann Alibert, Lynton Ardizzone, Carsten Rother, Klessen, Ralf S., Koethe, Ullrich   +17 more
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Impact of the measured parameters of exoplanets on the inferred internal structure [PDF]

Astronomy & Astrophysics, 2020
Context. Exoplanet characterization is one of the main foci of current exoplanetary science. For super-Earths and sub-Neptunes, we mostly rely on mass and radius measurements, which allow us to derive the mean density of the body and give a rough estimate of the bulk composition of the planet. However, the determination of planetary interiors is a very
Jon Fernandez Otegi, Caroline Dorn, Ravit Helled, François Bouchy, Jonas Haldemann, Yann Alibert   +5 more
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Structure of exoplanets [PDF]

Proceedings of the National Academy of Sciences, 2013
Significance Planets around other stars, or exoplanets, are now known to be common in our galaxy. Exoplanets span a much wider range of physical conditions than the planets in our solar system, and include extremely puffy gas giants to compact rocky planets that can have densities as high as that of iron. The diversity of exoplanets allows us
Spiegel, David S, Fortney, Jonathan J, Sotin, Christophe   +2 more
openaire   +4 more sources

A survey of exoplanet phase curves with Ariel [PDF]

, 2021
The ESA-Ariel mission will include a tier dedicated to exoplanet phase curves corresponding to ∼ 10 % of the science time. We present here the current observing strategy for studying exoplanet phase curves with Ariel.
Demangeon O., Haswell C. A., Morello G., Kreidberg L., Zellem R. T., Pascale Enzo., Tinetti G., Mendonca J. M., Tremblin P., Bell T. J., Taylor J., Cowan N. B., Edwards B., Mugnai Lorenzo. V., Charnay B.   +14 more
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DYNAMICAL MEASUREMENTS OF THE INTERIOR STRUCTURE OF EXOPLANETS [PDF]

The Astrophysical Journal, 2013
Giant gaseous planets often reside on orbits in sufficient proximity to their host stars for the planetary quadrupole gravitational field to become non-negligible. In presence of an additional planetary companion, a precise characterization of the system's orbital state can yield meaningful constraints on the transiting planet's interior structure ...
Becker, Juliette C., Batygin, Konstantin
openaire   +3 more sources

Machine-learning Inference of the Interior Structure of Low-mass Exoplanets [PDF]

The Astrophysical Journal, 2020
Abstract We explore the application of machine-learning based on mixture density neural networks (MDNs) to the interior characterization of low-mass exoplanets up to 25 Earth masses constrained by mass, radius, and fluid Love number, k 2. We create a data set of 900,000 synthetic planets, consisting of an iron-rich core,
Philipp Baumeister, Sebastiano Padovan, Nicola Tosi, Grégoire Montavon, Nadine Nettelmann, Jasmine MacKenzie, Mareike Godolt   +6 more
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