ASCL Code Record
[ascl:2307.056]
HELA: Random Forest retrieval for exoplanet atmospheres
HELA performs atmospheric retrieval on exoplanet atmospheres using a Random Forest algorithm. The code has two stages: training (which includes testing), and predicting. It requires a training set that matches the format of the data to be analyzed, with the same number of points and a sample spectrum for each parameter. The number of trees used and the number of jobs are editable. The HELA package includes a training set and data as examples.
- Code site:
- https://github.com/exoclime/HELA
- Used in:
- https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.4015G
- Described in:
- https://ui.adsabs.harvard.edu/abs/2018NatAs...2..719M
- Bibcode:
- 2023ascl.soft07056M
Preferred citation method:
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