Deriving volume density profiles of filaments from observed surface densities
Alexander Men'shchikov, Guo-Yin Zhang

TL;DR
This paper introduces a new method for deriving volume density profiles of filaments from observed surface densities, accounting for geometry and empirical relationships, improving accuracy over traditional approaches.
Contribution
The authors develop and validate a self-consistent fitting method that explicitly considers cylindrical geometry and corrects biases in traditional surface density profile analysis.
Findings
The slope difference $eta - \gamma$ is below unity for shallow profiles.
Extended filaments with shallow slopes can have width estimates differing by over an order of magnitude.
High resolvedness ($R \\gtrsim 10$) is essential for accurate parameter recovery.
Abstract
Accurate characterization of filamentary structures in star-forming clouds is essential for understanding star formation. Traditional methods fit observed surface density profiles with slope and width using the Plummer function, assuming and for the volume density slope and width. These assumptions break down for shallow profiles, with the slope and width relations deviating progressively more for compact and extended filaments, respectively. We present a new fitting method that explicitly accounts for finite cylindrical geometry and establishes self-consistent empirical relationships between the parameters of and those of the volume density profile with slope and width . The method was validated on model profiles and applied to selected filaments in the California molecular cloud. The slope…
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