215 citations · 215 across the 1 of their papers we have counts for
3 papers
exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series
Daniel Foreman-Mackey, Rodrigo Luger, Eric Agol +13
"exoplanet" is a toolkit for probabilistic modeling of astronomical time series data, with a focus on observations of exoplanets, using PyMC3 (Salvatier et al., 2016). PyMC3 is a f…
Stellar Rotation in the K2 Sample: Evidence for Modified Spindown
Tyler A. Gordon, James R. A. Davenport, Ruth Angus +5
We analyze light curves of 284,834 unique K2 targets using a Gaussian process model with a quasi-periodic kernel function. By crossmatching K2 stars to observations from Gaia Data…
A Fast, 2D Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization
Tyler Gordon, Eric Agol, Daniel Foreman-Mackey
Gaussian processes (GPs) are commonly used as a model of stochastic variability in astrophysical time series. In particular, GPs are frequently employed to account for correlated s…