PySM 3: Sky emission simulations for Cosmic Microwave Background experiments

Pynkowski is a Python package to compute Minkowski Functionals, as well as their expected values for different fields.

A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys

Port of healpix routines to JAX

Set of functions to help to project healpix maps into a flat 2D grid

A beginner's attempt to visualization astronomical data

Neural network layers and networks to study the topology of the universe. Based on graph convolutions and written in the jax environment

Analysing and selection of PGCC's and ISM

Python pipeline for cosmic web analysis using SDSS DR18 — HEALPix mapping, TDA persistent homology, Information Bottleneck efficiency (η_IB), and T-Web classification of voids, sheets, filaments, and knots.

A Hemispherical Comparison code using HEALPiX and Kolmogorov–Smirnov test for probing isotropy

Analysis of Cosmic Microwave Background Maps Using HEALPix, NaMaster, and Planck Data - EP491 UG Project (IIT BHU)

Reproducible demonstration of the look-elsewhere effect in CMB anomaly searches, via Penrose's Hawking points. Pure Gaussian skies routinely produce 4-5 sigma 'anomalies' once you scan position and scale; the same test still confirms a real signal. A companion script reproduces the Jow & Scott (2020) null result on real Planck data.

Algorithm for planning observations of the LIGO-Virgo-KAGRA localization region

A tensor network simulation of a discrete 3D triclinic lattice cosmology verified with raw CMB satellite data.

Deep learning for modeling the detection probability of galaxies in wide-field surveys

Box topology pixelization for cosmology