Searching for Molecular Outflows with Support Vector Machines: Dark Cloud Complex in Cygnus

摘要: We present a survey of molecular outflows across the dark cloud complex in Cygnus region, based on 46.75 deg^2 field CO isotopologues data from Milky Way Imaging Scroll Painting (MWISP) survey. A supervised machine learning algorithm, Support Vector Machine (SVM), is introduced to accelerate our visual assessment outflow features cube 12CO and 13CO J = 1-0 emission. total 130 candidates are identified, which 77 show bipolar structures 118 new detections. Spatially, these located inside dense clouds some them found clusters or elongated linear tracing underlying gas filament morphology. Along line sight, 97, 31, 2 reside Local, Perseus, Outer arm, respectively. Young stellar objects as drivers near most outflows, while 36 no associated source. The that we detect inhomogeneous their properties; nevertheless, cannot inject turbulent energy scales. Instead, at best, they restricted affecting so called "clump" "core" scales, this only short (~0.3 Myr) estimated timescales. Combined with samples literature, work shows tight mass-size correlation.