Welcome to the STELA Toolkit¶

The STELA Toolkit is a Python package for interpolating astrophysical light curves using Gaussian Processes (more ML models to come!) in order to compute dta products in the frequency domain (power spectra, lag spectra, coherence, etc.) and in the standard time domain, like lags from the cross correlation function.

STELA is designed for astronomers dealing with irregular, noisy light curve data

... who want to generate Fourier-based data products (lag spectra, coherence spectra, power spectra, cross spectra) or standard time-domain products, like lags with CCF and linear ICCF.

Get started:

Overview: What STELA can do and how it works
Tutorial: Hands-on with GP modeling, regression, and frequency-resolved analysis
Gaussian Processes: Introduction to GPs and STELA implementation
Class Reference: Technical docs and API

If you're new to GP modeling, the overview, tutorial, and intro to GPs are the best places to begin.