Libraries to analyze numerical simulations (python3)
Forward modelling for gravity anomalies
Algorithm for Void Identification in Cosmology is a comprehensive and significant update to a previous void finder published by Ricciardelli et al. (2013). Density and velocity divergence are used to define unstructured voids, which are formed by combining a set of cubes.
The algorithm identifies clusters and gaps in integer datasets, calculates their Z-scores based on mean density and distance, and outputs the results as JSON.
Julia implementation of the DIVE algorithm for finding voids in a point set with applications in observational cosmology.
A Unified Effective Mechanism for Galaxy Rotation Curves and the Hubble Tension
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