HIGHLIGHTS
- who: FilamentS Identification and collaborators from the Nazarbayev University, Kabanbay batyr ave, , Nur-Sultan, Kazakhstan, CNRS, UPS, CNES, France have published the research work: MaLeFiSenta: Machine Learning for FilamentS Identification and orientation in the ISM, in the Journal: (JOURNAL)
- what: The authors propose a machine_learning-based method for filament identification that solves the issue of manual parameter search and visual inspection. The authors show and discuss the results in Sections IV and V respectively. It is a practical method used in the studies of the ISM where relative orientation with respect to magnetic_fields is often . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.