CONAN: A Python package for modeling lightcurve and radial velocity data of exoplanetary systems
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866916922733363200 |
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| author | Akinsanmi, Babatunde Lendl, Monika Krenn, Andreas |
| author_facet | Akinsanmi, Babatunde Lendl, Monika Krenn, Andreas |
| contents | We present CONAN (COde for exoplaNet ANalysis), an open-source Python package for comprehensive analyses of exoplanetary systems. It provides a unified Bayesian framework to simultaneously analyze diverse exoplanet datasets to derive global system parameters. CONAN allows to consistently model photometric transit light curves, occultations, phase curves, and radial velocity measurements, while detrending each dataset with any combination of parametric, sinusoidal, Gaussian Processes, and spline models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_20196 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CONAN: A Python package for modeling lightcurve and radial velocity data of exoplanetary systems Akinsanmi, Babatunde Lendl, Monika Krenn, Andreas Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics We present CONAN (COde for exoplaNet ANalysis), an open-source Python package for comprehensive analyses of exoplanetary systems. It provides a unified Bayesian framework to simultaneously analyze diverse exoplanet datasets to derive global system parameters. CONAN allows to consistently model photometric transit light curves, occultations, phase curves, and radial velocity measurements, while detrending each dataset with any combination of parametric, sinusoidal, Gaussian Processes, and spline models. |
| title | CONAN: A Python package for modeling lightcurve and radial velocity data of exoplanetary systems |
| topic | Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics |
| url | https://arxiv.org/abs/2508.20196 |