Exoplanet

Exoplanet

Exoplanet is an open-source Python package for exoplanet detection, characterization, and analysis. It provides tools for fitting exoplanet transit and radial velocity data to infer planetary and orbital parameters.
Exoplanet image
astronomy exoplanets astrophysics open-source python

Exoplanet: Open-Source Exoplanet Detection & Analysis

An open-source Python package for exoplanet detection, characterization, and analysis, providing tools for fitting transit and radial velocity data.

What is Exoplanet?

Exoplanet is an open-source Python package for detecting, characterizing, and analyzing exoplanets from astronomical time series data. It was developed by the exoplanet research group at Caltech and includes a suite of tools for fitting exoplanet transit and radial velocity data to infer planetary and orbital parameters.

Key features of Exoplanet include:

  • High-performance methods for fitting exoplanet transit and radial velocity models
  • Modular, object-oriented design allowing easy extension and customization
  • Built-in models for transit photometry, radial velocities, transit timing variations, and more
  • Support for multiple datasets, multi-planet systems, stellar variability, and other complications
  • Robust error analysis and model comparison via nested sampling, MCMC, or optimal estimators
  • Publication-ready tables and plots
  • Integration with open source data analysis tools like NumPy, SciPy, Matplotlib, and Pandas

Exoplanet aims to provide high-quality exoplanet modeling tools to support the analysis and interpretation of data from space telescopes like TESS, CHEOPS, JWST, and future missions. It enables standard analyses while also allowing advanced users significant control over fitting and modeling assumptions.

Exoplanet Features

Features

  1. Modeling of exoplanet transits and radial velocities
  2. Statistical modeling tools for exoplanet detection
  3. Tools for exoplanet characterization
  4. Open-source Python package

Pricing

  • Open Source

Pros

Free and open-source

Active development community

Integrates well with other Python scientific packages

Provides a full suite of exoplanet analysis tools

Cons

Steep learning curve for new users

Limited documentation and examples

Mostly focused on statistical modeling rather than visualization


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