论文标题
sconce：用于球形和圆锥几何的宇宙网络查找器
SCONCE: A cosmic web finder for spherical and conic geometries
论文作者
论文摘要
被称为宇宙网络的晶格结构为大规模结构的组装历史提供了宝贵的见解。尽管有多种识别宇宙网络结构的方法，但它们主要依赖于星系嵌入欧几里得几何空间中的假设。在这里，我们提出了一个新颖的宇宙网络标识符，称为Sconce（球形和圆锥形宇宙Web Finder），该标识符固有地考虑了2D（RA，DEC）球形或3D（RA，DEC，DEC，$ Z $）圆锥形几何形状。壁灯中提出的算法概括了众所周知的子空间约束平均移位（SCM）方法，并主要解决了主要的细丝检测问题。它们是球形/圆锥几何形状的固有的，并且数据旋转不变。我们通过人造横形灯丝示例进一步测试了方法的功效，并将其应用于SDSS Galaxy目录，表明即使在高下降的区域，我们算法的2D球形版本也很强。最后，使用Illustris的N体模拟，我们表明，在检测细丝的3D圆锥版本比在halos奇特速度引起的红移畸变下，检测细丝比标准SCMS方法更强大。我们的Cosmic Web Finder以Sconce-SCM的形式包装在Python中，并已公开可用。
The latticework structure known as the cosmic web provides a valuable insight into the assembly history of large-scale structures. Despite the variety of methods to identify the cosmic web structures, they mostly rely on the assumption that galaxies are embedded in a Euclidean geometric space. Here we present a novel cosmic web identifier called SCONCE (Spherical and CONic Cosmic wEb finder) that inherently considers the 2D (RA,DEC) spherical or the 3D (RA,DEC,$z$) conic geometry. The proposed algorithms in SCONCE generalize the well-known subspace constrained mean shift (SCMS) method and primarily address the predominant filament detection problem. They are intrinsic to the spherical/conic geometry and invariant to data rotations. We further test the efficacy of our method with an artificial cross-shaped filament example and apply it to the SDSS galaxy catalogue, revealing that the 2D spherical version of our algorithms is robust even in regions of high declination. Finally, using N-body simulations from Illustris, we show that the 3D conic version of our algorithms is more robust in detecting filaments than the standard SCMS method under the redshift distortions caused by the peculiar velocities of halos. Our cosmic web finder is packaged in python as SCONCE-SCMS and has been made publicly available.
