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Reconstruction and Visualization of Planetary Nebulae

机译:行星状星云的重建和可视化

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From our terrestrially confined viewpoint, the actual three-dimensional shape of distant astronomical objects is, in general, very challenging to determine. For one class of astronomical objects, however, spatial structure can be recovered from conventional 2D images alone. So-called planetary nebulae (PNe) exhibit pronounced symmetry characteristics that come about due to fundamental physical processes. Making use of this symmetry constraint, we present a technique to automatically recover the axisymmetric structure of many planetary nebulae from photographs. With GPU-based volume rendering driving a nonlinear optimization, we estimate the nebula's local emission density as a function of its radial and axial coordinates and we recover the orientation of the nebula relative to Earth. The optimization refines the nebula model and its orientation by minimizing the differences between the rendered image and the original astronomical image. The resulting model allows creating realistic 3D visualizations of these nebulae, for example, for planetarium shows and other educational purposes. In addition, the recovered spatial distribution of the emissive gas can help astrophysicists gain deeper insight into the formation processes of planetary nebulae.
机译:从我们的地域角度来看,遥远天文物体的实际三维形状通常很难确定。但是,对于一类天文物体,仅可以从常规2D图像中恢复空间结构。所谓的行星状星云(PNe)表现出明显的对称性,这是由于基本物理过程引起的。利用这种对称性约束,我们提出了一种从照片中自动恢复许多行星状星云的轴对称结构的技术。使用基于GPU的体积渲染驱动非线性优化,我们可以根据星云的径向和轴向坐标来估计星云的局部发射密度,并恢复星云相对于地球的方向。该优化通过最小化渲染图像和原始天文图像之间的差异来细化星云模型及其方向。生成的模型允许创建这些星云的逼真的3D可视化效果,例如,用于天文馆表演和其他教育目的。此外,发射气体的空间分布恢复可以帮助天体物理学家更深入地了解行星状星云的形成过程。

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