Multi-Mission Multi-Messenger Observation Planning Toolkit

Dorado observation planning and scheduling simulations. Replaced by https://github.com/m4opt/m4opt

Automated property interpolation and color calculations for main sequence stars

This is a repository for the reduction pipeline detailed in Wakeford, et al., 2016, ApJ. The method implements marginalization across a series of models to represent stochastic models for observato…

How to generate a stellar Flare Frequency Distribution, and its uncertainties

allesfitter is a convenient wrapper around the packages ellc (light curve and RV models), dynesty (static and dynamic nested sampling) emcee (Markov Chain Monte Carlo sampling) and celerite (Gaussi…

Examples of how to fit models to data with Gaussian Process regression

Rotation using celerite and EVEREST

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

Machine-readable files that detail the footprints of the K2 Campaign fields.

the Real s'up app

A data-driven causal model for modeling systematics in Kepler light curves

Curate publications related to NASA's Kepler/K2 missions using the ADS API.

Measuring stellar rotation periods with Gaussian processes

Systematics-Insensitive Periodograms for K2

Python library for supernova cosmology

Check whether targets are in the field of view of K2

TTVFast efficiently calculates transit times for n-planet systems and the corresponding radial velocities.