rohinkumar/correlcalc

correlcalc is a scientific Python package for estimating isotropic and anisotropic galaxy two-point correlation functions. A user supplies survey data, bins, and either a random catalog or survey mask. The API loads and prepares catalogs, applies cosmology and geometry distance models, counts BallTree-neighbor pairs, and applies a selectable estimator to return correlation and Poisson-error arrays. Optional branches generate random catalogs and visualize survey positions with healpix. Some internal wiring is inferred from documented capabilities because several modules were not sampled.