Autogalaxy

PyAutoGalaxy is an open-source Python 3.8+ package for analysing the morphologies and structures of large multi-wavelength galaxy samples.

详见 https://pyautogalaxy.readthedocs.io/

学习笔记

• array_2d

为图像数据定义的一类二维数组类，包含了pixelsize信息，并可以同时包含mask信息

注意Mask2D中 True值是指被mask掉 （下面例子中mask是一个booltype的ndarray，True是指保留）

ima_2d = aa.Array2D.no_mask(values=Agemap[0],shape_native=Agemap[0].shape,pixel_scales=0.5)
mask_2d = aa.Mask2D(mask=~mask,shape_native=Agemap[0].shape,pixel_scales=0.5)
#ima_2d = ima_2d.apply_mask(mask=mask_2d)
noise_2d = aa.Array2D.no_mask(values=vflux**0.5+0.01,shape_native=Agemap[0].shape,pixel_scales=0.5)
#noise_2d =  noise_2d.apply_mask(mask=mask_2d)
psf_2d = ag.Kernel2D.from_gaussian(shape_native=(10, 10), sigma=1.5, pixel_scales=0.5)

参见 https://pyautogalaxy.readthedocs.io/en/latest/api/_autosummary/autogalaxy.Array2D.html

• imaging

基于array_2d生成的图像类，必须同时具有原始图像数据，和noisemap，同时psf信息可选

imaging=ag.Imaging(image=ima_2d,noise_map=noise_2d,psf=psf_2d)

• Grid

grid_2d = ag.Grid2D.uniform(shape_native=Agemap[0].shape, pixel_scales=0.5).5)