GAMMA (Galactic Attributes of Mass, Metallicity, and Age) dataset

GAMMA数据集是由海德堡大学跨学科科学计算中心创建的，专注于星系质量、金属丰度和年龄的全面数据集。该数据集包含11727个星系的详细2D地图和3D立方体，捕捉了星系的关键属性：恒星年龄、金属丰度和质量。数据集通过精心策划的2D和3D星系图像，结合明确的图像生成过程，如噪声水平或点扩散函数，为理解星系形态提供了独特的视角。此外，数据集的应用领域广泛，旨在通过计算方法深入探索星系结构，并作为天体物理模拟与科学机器学习领域之间的桥梁。

The GAMMA dataset was created by the Interdisciplinary Center for Scientific Computing of Heidelberg University, and it is a comprehensive dataset focused on galaxy mass, metallicity, and stellar age. It contains detailed 2D maps and 3D data cubes for 11,727 galaxies, capturing the key properties of these celestial systems: stellar age, metallicity, and mass. Through carefully curated 2D and 3D galaxy images combined with clearly specified image generation details such as noise levels and point spread functions, the dataset offers a unique perspective for understanding galaxy morphology. Furthermore, the dataset has wide-ranging applications, aiming to enable in-depth exploration of galactic structures via computational methods, and serves as a bridge between astrophysical simulations and the field of scientific machine learning.