ELISa (Eclipsing binary Learning and Interactive System) is a Python-based tool designed for efficient modeling of light and radial velocity curves of eclipsing binaries. It balances computational speed and accuracy, offering modular, cross-platform usability and built-in optimization methods like least squares and MCMC for parameter determination.

Eclipsing binary star research package to efficiently analyze eclipsing binary systems.

Python code for working with light curves of variable stars

EclipseBin is a Python package designed for binning light curves of eclipsing binary stars using a non-uniform binning scheme. The package focuses on better capturing the details of eclipses by allocating more bins within the eclipse regions, making it ideal for light curves with narrow eclipses.

Multi-sector TESS SPOC PDCSAP photometry analysis of ANJ-V001 (EA eclipsing binary): Lomb–Scargle period, epoch (Min I), amplitude, and VSX submission artifacts.

Modeling and analysis of the eclipsing binary star system KIC 2306740 using PHOEBE software