KaRMMa DES-Y3 mass maps

This repository contains: a) 100 samples of mass maps created from the Dark Energy Survey (DES) Year 3 (Y3) weak lensing data using the Kappa Reconstruction for Mass Mapping (KaRMMa) algorithm (desy3_karmma_maps.zip), b) The DES-Y3 data used for running KaRMMa (karmma_data.zip). KaRMMa is a Bayesian forward modelled mass mapping algorithm that produces mass map samples assuming a lognormal prior on the convergence field. - desy3_karmma_maps.zip: The files contain the masked HEALPIX maps as a numpy array. The repository contains the associated HEALPIX mask and a script to produce the HEALPIX maps from the masked array. - karmma_data.zip: Contains the pixelized shear maps, associated C(l)'s, redshift distributions, and the mask files used in the KaRMMa run on DES-Y3 data.本数据集仓库包含以下内容：a) 100份基于暗能量巡天（Dark Energy Survey, DES）第三年（Y3）弱引力透镜数据，经由质量映射卡帕重建（Kappa Reconstruction for Mass Mapping, KaRMMa）算法生成的质量图样本（压缩包desy3_karmma_maps.zip）；b) 用于运行KaRMMa算法的DES-Y3原始数据（压缩包karmma_data.zip）。KaRMMa是一种贝叶斯正向建模质量映射算法，其在收敛场服从对数正态先验的假设下生成质量图样本。 - desy3_karmma_maps.zip：该压缩包内的文件以NumPy数组形式存储了掩膜后的分层等面积等纬度像素化（HEALPIX）地图。本仓库同时附带对应的HEALPIX掩膜文件，以及一份可从掩膜数组生成HEALPIX地图的脚本。 - karmma_data.zip：包含了像素化剪切地图、对应的角功率谱C(l)、红移分布，以及在DES-Y3数据上运行KaRMMa算法时所用的掩膜文件。