一种多尺度细丝提取方法：getfilaments
A multi-scale filament extraction method: getfilaments
摘要：
用赫歇尔望远镜对银河系恒星形成区进行的远红外成像观测表明，相当大一部分寒冷的星际介质看起来像是一张迷人的、无所不在的星际结构网。星际物质的这种高度各向异性的成分进一步使系统检测和测量强可变但（相对）各向同性背景中的致密核心的困难问题复杂化。观测证据表明，恒星形成在致密的细丝中，这给自动源提取方法带来了严重的问题，这些方法不仅必须可靠地将源与波动的背景和噪声区分开来，而且还必须将源与附属结构区分开来。以前的论文提出了多尺度，多波长的源提取方法getsources的基础上，一个精细的空间尺度分解和过滤无关的尺度从图像。本文提出了一种多尺度、多波长的细丝提取方法getfilaments，解决了这一问题，大大提高了在复杂背景下利用getsources进行源提取的鲁棒性。主要的区别是getfilaments提取的细丝现在在源提取过程中被getsources从探测图像中减去，大大减少了虚假源污染星表的机会。在赫歇尔观测中发现的形成中的恒星和暗条之间的密切物理关系要求精确的暗条提取方法必须去除源的贡献，并且精确的源提取方法必须能够去除潜在的暗条结构。使用getsources进行源提取现在还为研究人员提供了清晰的细丝图像，没有源，噪音和各向同性背景。
英文摘要：
Far-infrared imaging surveys of Galactic star-forming regions with Herschel have shown that a substantial part of the cold interstellar medium appears as a fascinating web of omnipresent filamentary structures. This highly anisotropic ingredient of the interstellar material further complicates the difficult problem of the systematic detection and measurement of dense cores in the strongly variable but (relatively) isotropic backgrounds. Observational evidence that stars form in dense filaments creates severe problems for automated source extraction methods that must reliably distinguish sources not only from fluctuating backgrounds and noise, but also from the filamentary structures. A previous paper presented the multi-scale, multi-wavelength source extraction method getsources based on a fine spatial scale decomposition and filtering of irrelevant scales from images. In this paper, a multi-scale, multi-wavelength filament extraction method getfilaments is presented that solves this problem, substantially improving the robustness of source extraction with getsources in filamentary backgrounds. The main difference is that the filaments extracted by getfilaments are now subtracted by getsources from detection images during source extraction, greatly reducing the chances of contaminating catalogs with spurious sources. The intimate physical relationship between forming stars and filaments seen in Herschel observations demands that accurate filament extraction methods must remove the contribution of sources and that accurate source extraction methods must be able to remove underlying filamentary structures. Source extraction with getsources now provides researchers also with clean images of filaments, free of sources, noise, and isotropic backgrounds.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
