This page lists open-source softwares for processing and analyzing high-contrast imaging data.
Algorithms Developed by Our HCDC team
Diva+: Scripts for accessing, reading, and plotting data from the DIVA+ database.
K-Stacker: Keplerian image recombination for the direct detection and characterization of exoplanets
Algorithms developed by the Community
Octofitter : A python package for performing Bayesian inference against a wide variety of exoplanet / binary star data (HC-Images or Relative Astrometry, Radial Velocity, Interferometric observables, Proper Motion Anomalies). This package facilitates the detection of faint companions and the determination of their orbital parameters.
Orbitize: Orbit-fitting for directly imaged objects.
Orvara: package for fitting orbits of bright stars and their faint companions (exoplanets, brown dwarfs, white dwarfs, and low-mass stars).
SPECIES: A toolkit for atmospheric characterization of directly imaged exoplanets.
VIP: VIP integrates open-source, efficient, easy-to-use and well-documented implementations of high-contrast image processing algorithms to the interested scientific community.
Whereistheplanet: Based on the most accurate orbital parameters available, this tool predicts the future positions of directly-imaged exoplanets and brown dwarf companions.
Data Challenges
Exoplanet Imaging Data Challenge: Community-wide data challenge for the comparison of high-contrast imaging post-processing techniques