Cover Image

Exoplanet characterization using conditional invertible neural networks

Show other versions (1)

The characterization of an exoplanet's interior is an inverse problem, which requires statistical methods such as Bayesian inference in order to be solved. Current methods employ Markov Chain Monte Carlo (MCMC) sampling to infer the posterior probability of planetary structure parameters for a...

Full description

Saved in:
Bibliographic Details
Main Authors: Haldemann, Jonas (Author) , Ksoll, Victor F. (Author) , Walter, Daniel (Author) , Alibert, Yann (Author) , Klessen, Ralf S. (Author) , Benz, Willy (Author) , Köthe, Ullrich (Author) , Ardizzone, Lynton (Author) , Rother, Carsten (Author)
Format: Article (Journal) Chapter/Article
Language:English
Published: 31 Jan 2022
In: Arxiv
Year: 2022, Pages: 1-15
Online Access:Verlag, lizenzpflichtig, Volltext: http://arxiv.org/abs/2202.00027
Get full text
Author Notes:Jonas Haldemann, Victor Ksoll, Daniel Walter, Yann Alibert, Ralf S. Klessen, Willy Benz, Ullrich Koethe, Lynton Ardizzone, and Carsten Rother
Search Result 1
Cover Image

Exoplanet characterization using conditional invertible neural networks by Haldemann, Jonas (Author) , Ksoll, Victor F. (Author) , Walter, Daniel (Author) , Alibert, Yann (Author) , Klessen, Ralf S. (Author) , Benz, Willy (Author) , Köthe, Ullrich (Author) , Ardizzone, Lynton (Author) , Rother, Carsten (Author) ,


Get full text
Article (Journal) Online Resource

Saved in:
Show all versions (2)

Similar Items