{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/the-duvet-survey-resolved-maps-of-star","title":"The DUVET Survey: Resolved Maps of Star Formation Driven Outflows in a Compact, Starbursting Disk Galaxy","arxiv_id":"2202.04672","date":"2022-02-09","proceeding":null,"authors":["Bronwyn Reichardt Chu","Deanne B. Fisher","Nikole M. Nielsen","John Chisholm","Marianne Girard","Glenn G. Kacprzak","Alberto Bolatto","Rodrigo Herrara-Camus","Karin Sandstrom","Miao Li","Ryan Rickards Vaught","Daniel K. McPherson"],"abstract":"We study star formation driven outflows in a $z\\sim0.02$ starbursting disk galaxy, IRAS08339+6517, using spatially resolved measurements from the Keck Cosmic Web Imager (KCWI). We develop a new method incorporating a multi-step process to determine whether an outflow should be fit in each spaxel, and then subsequently decompose the emission line into multiple components. We detect outflows ranging in velocity, $v_{\\rm out}$, from $100-600$ km s$^{-1}$ across a range of star formation rate surface densities, $\\Sigma_{\\rm SFR}$, from $\\sim$0.01-10 M$_\\odot$ yr$^{-1}$ kpc$^{-2}$ in resolution elements of a few hundred parsec. Outflows are detected in $\\sim100\\%$ of all spaxels within the half-light radius, and $\\sim70\\%$ within $r_{90}$, suggestive of a high covering fraction for this starbursting disk galaxy. Around $2/3$ of the total outflowing mass originates from the star forming ring, which corresponds to $<10\\%$ of the total area of the galaxy. We find that the relationship between $v_{\\rm out}$ and the $\\Sigma_{\\rm SFR}$, as well as between the mass loading factor, $\\eta$, and the $\\Sigma_{\\rm SFR}$, are consistent with trends expected from energy-driven feedback models. We study the resolution effects on this relationship and find stronger correlations above a re-binned size-scale of $\\sim500$ pc. Conversely, we do not find statistically significant consistency with the prediction from momentum-driven winds.","url_abs":"https://arxiv.org/abs/2202.04672v1","url_pdf":"https://arxiv.org/pdf/2202.04672v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"the-duvet-survey-resolved-maps-of-star","repo_url":"https://github.com/bronreichardtchu/koffee","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}