“Autogalaxy”的版本间差异
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（创建页面，内容为“PyAutoGalaxy is an open-source Python 3.8+ package for analysing the morphologies and structures of large multi-wavelength galaxy samples. 详见 https://pyautogala…”） |
无编辑摘要 |
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: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 |
: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 |
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ima_2d = aa.Array2D.no_mask(values=Agemap[0],shape_native=Agemap[0].shape,pixel_scales=0.5) |
ima_2d = aa.Array2D.no_mask(values=Agemap[0],shape_native=Agemap[0].shape,pixel_scales=0.5) |
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mask_2d = aa.Mask2D(mask=mask,shape_native=Agemap[0].shape,pixel_scales=0.5) |
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#ima_2d = ima_2d.apply_mask(mask=mask_2d) |
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noise_2d = aa.Array2D.no_mask(values=vflux**0.5+0.01,shape_native=Agemap[0].shape,pixel_scales=0.5) |
noise_2d = aa.Array2D.no_mask(values=vflux**0.5+0.01,shape_native=Agemap[0].shape,pixel_scales=0.5) |
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#noise_2d = noise_2d.apply_mask(mask=mask_2d) |
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psf_2d = ag.Kernel2D.from_gaussian(shape_native=(10, 10), sigma=1.5, pixel_scales=0.5) |
psf_2d = ag.Kernel2D.from_gaussian(shape_native=(10, 10), sigma=1.5, pixel_scales=0.5) |
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参见 https://pyautogalaxy.readthedocs.io/en/latest/api/_autosummary/autogalaxy.Array2D.html |
参见 https://pyautogalaxy.readthedocs.io/en/latest/api/_autosummary/autogalaxy.Array2D.html |
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: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 |
: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 |
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imaging=ag.Imaging(image=ima_2d,noise_map=noise_2d,psf=psf_2d) |
imaging=ag.Imaging(image=ima_2d,noise_map=noise_2d,psf=psf_2d) |
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*Grid |
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grid_2d = ag.Grid2D.uniform(shape_native=Agemap[0].shape, pixel_scales=0.5).5) |
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2023年2月21日 (二) 02:35的版本
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
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)