A Census of Large-Scale ($\ge$ 10 pc), Velocity-Coherent, Dense Filaments in the Northern Galactic Plane: Automated Identification Using Minimum Spanning Tree
Ke Wang (ESO), Leonardo Testi (ESO, INAF-Arcetri, Excellence Cluster, Universe), Andreas Burkert (USM, MPE), C. Malcolm Walmsley (INAF-Arcetri,, DIAS), Henrik Beuther (MPIA), and Thomas Henning (MPIA)

TL;DR
This paper introduces an automated method to identify large-scale, velocity-coherent dense filaments in the Galactic plane, providing the first comprehensive catalog and statistical analysis of their distribution, properties, and relation to star formation.
Contribution
It presents a novel automated minimum spanning tree algorithm for large filament identification and offers the first extensive statistical and spatial analysis of these structures in the Galaxy.
Findings
54 large-scale filaments identified across the Galactic plane.
Filaments are concentrated along spiral arms and near the Galactic mid-plane.
Massive star formation occurs more frequently in these filaments.
Abstract
Large-scale gaseous filaments with length up to the order of 100 pc are on the upper end of the filamentary hierarchy of the Galactic interstellar medium. Their association with respect to the Galactic structure and their role in Galactic star formation are of great interest from both observational and theoretical point of view. Previous "by-eye" searches, combined together, have started to uncover the Galactic distribution of large filaments, yet inherent bias and small sample size limit conclusive statistical results to be drawn. Here, we present (1) a new, automated method to identify large-scale velocity-coherent dense filaments, and (2) the first statistics and the Galactic distribution of these filaments. We use a customized minimum spanning tree algorithm to identify filaments by connecting voxels in the position-position-velocity space, using the Bolocam Galactic Plane Survey…
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