The DUVET Survey: Resolved maps of star formation-driven outflows in a compact, starbursting disc galaxy
The DUVET Survey: Resolved maps of star formation-driven outflows in a compact, starbursting disc galaxy
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DUVET 巡天：在紧凑的星爆盘星系中恒星形成驱动的流出的解析图
DOI：
10.1093/mnras/stac420
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发表时间：
2022
影响因子：
4.8
通讯作者：
Li, Miao
中科院分区：
文献类型：
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作者：
Reichardt Chu, Bronwyn;Fisher, Deanne B.;Nielsen, Nikole M.;Chisholm, John;Girard, Marianne;Kacprzak, Glenn G.;Bolatto, Alberto;Herrera-Camus, Rodrigo;Sandstrom, Karin;Li, Miao
利用Keck宇宙网成像仪（KCWI）的空间分辨测量数据，研究了星爆盘星系IRAS 08339 +6517中由星星形成驱动的外流.我们开发了一种新的方法，将一个多步骤的过程，以确定是否流出应适合在每个spectrometer，然后随后分解成多个组件的发射线。我们探测到的外流速度范围为，，从km，跨越一系列的星星形成率表面密度，，从0.01 -10 Myrkpcin分辨率元素的几百秒差距。在半光半径内的所有spaxels中检测到流出，并在其中，暗示了这个星爆盘星系的高覆盖率。流出的总质量约有个来自星星形成环，相当于星系总面积的个。我们发现，之间的关系，以及之间的质量加载因子，和，是一致的趋势预期从能量驱动的反馈模型。我们研究了分辨率对这种关系的影响，并找到了更强的相关性以上的重新装箱的大小规模ofpc。相反，我们没有发现统计上显着的一致性与动量驱动的风的预测。
We study star formation driven outflows in astarbursting 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,, fromkm sacross a range of star formation rate surface densities,, from0.01-10 Myrkpcin resolution elements of a few hundred parsec. Outflows are detected inof all spaxels within the half-light radius, andwithin, suggestive of a high covering fraction for this starbursting disk galaxy. Aroundof the total outflowing mass originates from the star forming ring, which corresponds toof the total area of the galaxy. We find that the relationship betweenand the, as well as between the mass loading factor,, and the, 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 ofpc. Conversely, we do not find statistically significant consistency with the prediction from momentum-driven winds.