CLASSY X: Highlighting Differences Between Partial Covering and Semi-Analytic Modeling in the Estimate of Galactic Outflow Properties
M. Huberty, C. Carr, C. Scarlata, T. Heckman, A. Henry, X. Xu, K., Arellano-C\'ordoba, D. Berg, S. Charlot, J. Chisholm, S. Gazagnes, M. Hayes,, W. Hu, B. James, R.M. Jennings, C. Leitherer, C.L. Martin, M. Mingozzi, E., Skillman, Y. Sugahara

TL;DR
This paper compares empirical and semi-analytical models for estimating galactic outflow properties from spectral data, revealing significant differences and uncertainties in the inferred gas column densities.
Contribution
It provides a systematic comparison between partial covering empirical methods and semi-analytical line transfer models in analyzing galactic outflows, highlighting potential biases.
Findings
Empirical models underestimate column densities in optically thick regimes.
Spectral resolution limits can hide dense gas components.
Semi-analytical models may overestimate densities if assumptions are incorrect.
Abstract
Feedback driven massive outflows play a crucial role in galaxy evolution by regulating star formation and influencing the dynamics of surrounding media. Extracting outflow properties from spectral lines is a notoriously difficult process for a number of reasons, including the possibility that a substantial fraction of the outflow is carried by dense gas in a very narrow range in velocity. This gas can hide in spectra with insufficient resolution. Empirically motivated analysis based on the Apparent Optical Depth method, commonly used in the literature, neglects the contribution of this gas, and may therefore underestimate the true gas column density. More complex semi-analytical line transfer (e.g., SALT) models, on the other hand, allow for the presence of this gas by modeling the radial density and velocity of the outflows as power laws. Here we compare the two approaches to quantify…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstronomy and Astrophysical Research
