astro-forecaster 2.0.2

Probabilistically forecast astronomical masses and radii

astro-forecaster (forecaster 2ish)

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An internally overhauled but fundamentally similar version of Forecaster by Jingjing Chen and David Kipping, originally presented in Probabilistic Forecasting of the Masses and Radii of Other Worlds and hosted at here.

The model itself has not changed- no new data was included and the hyperparameter file was not regenerated. All functions were rewritten to take advantage of Numpy vectorization and some additional user features were added.

Installation and basic use

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To install this package with pip, run

pip install astro-forecaster

As a basic example, here is how you would calculate the radius posterior of a 1 Jupiter mass object:

import forecaster
import numpy as np

forecasted_radius_posterior = forecaster.Mpost2R(np.ones(int(1e3)), unit='Jupiter', classify=False)

See the demo notebook for more examples.

Changes

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Changes include but are not limited to:

• Rewriting all functions to take advantage of Numpy vectorization
• Including the ability to input asymmetric uncertainties in mass or radius
• Enabling pip installation

Citation

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If used, please cite the original Forecaster paper and the bibcode for this implementation eventually hosted on the Astrophysics Source Code Library (ASCL).