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.h5 files containing light curves, hyperparameter priors, period priors and posterior samples for the QP-GP rotation period model in Angus, Morton, Aigrain, Foreman-Mackey & Rajpaul (2017). koi_results_02_15.tgz contains posterior samples for 1132 Kepler objects of interest. results_acfprior_02_16.tgz contains posterior samples for 998 simulated light curves (previously published in Aigrain et al., 2015: https://arxiv.org/abs/1504.04029) with an ACF-based prior. results_noprior_02_16.tgz contains posterior samples for 997 simulated light curves (previously published in Aigrain et al., 2015) with an uninformative prior. To load the samples in python: >>> df = pd.read_hdf("<filename>", key="samples") >>> ln_period_samples = df.ln_period >>> ln_A_samples = df.ln_A >>> ln_l_samples = df.ln_l >>> ln_G_samples = df.ln_G >>> ln_sigma_samples = df.ln_sigma
Semi-parametric, Astronomy, Data analysis, Probabilistic, Posterior, Light curves, Astrophysics, Non-parametric, Rotation periods, Bayesian, Stars, Quasi-periodic, Samples, Inference, Probability density function, Kepler, Gaussian process
Semi-parametric, Astronomy, Data analysis, Probabilistic, Posterior, Light curves, Astrophysics, Non-parametric, Rotation periods, Bayesian, Stars, Quasi-periodic, Samples, Inference, Probability density function, Kepler, Gaussian process
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