νGAN: A Deep Learning Emulator for Cosmic Web Simulations with Massive Neutrinos

This repository contains data and pretrained model checkpoint used in the nuGAN (neutrino GAN) paper. Data:- scaled_density_contrast_maps.npy: 2D density maps of shape (15000,256,256). Maps correpsonding to neutrino masses 0.0, 0.1, 0.4, 0.8, and 12.2 can be chosen by indices [:3000], [3000:6000], [6000:9000], [9000,12000], and [12000:] respectively. - neutrino_masses.npy: corresponding neutrino masses of shape (15000,). Same indexing for as above. - test_*: Test data Model:- Trained nuGAN checkpoint state dict These resources are provided without restrictions.