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The extent of chemically enriched gas around star-forming dwarf galaxies
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The extent of chemically enriched gas around star-forming dwarf galaxies
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Supernova driven winds are often invoked to remove chemically enriched gas from dwarf galaxies to match their low observed metallicities. In such shallow potential wells, outflows may produce massive amounts of enriched halo gas (circum-galactic medium or CGM) and pollute the intergalactic medium (IGM). Here, we present a survey of the CGM and IGM around 18 star-forming field dwarfs with stellar masses of $\log\,M_*/M_\odot\approx8-9$ at $z\approx0.2$. Eight of these have CGM probed by quasar absorption spectra at projected distances, $d$, less than the host virial radius, $R_{\rm h}$. Ten are probed in the surrounding IGM at $d/R_{\rm h}=1-3$. The absorption measurements include neutral hydrogen, the dominant silicon ions for diffuse cool gas ($T\sim10^4$ K; Si II, Si III, and Si IV), moderately ionized carbon (C IV), and highly ionized oxygen (O VI). Metal absorption from the CGM of the dwarfs is less common and $\approx4\times$ weaker compared to massive star-forming galaxies though O VI absorption is still common. None of the dwarfs probed at $d/R_{\rm h}=1-3$ have definitive metal-line detections. Combining the available silicon ions, we estimate that the cool CGM of the dwarfs accounts for only $2-6\%$ of the expected silicon budget from the yields of supernovae associated with past star-formation. The highly ionized O VI accounts for $\approx8\%$ of the oxygen budget. As O VI traces an ion with expected equilibrium ion fractions of $\lesssim 0.2$, the highly ionized CGM may represent a significant metal reservoir even for dwarfs not expected to maintain gravitationally shock heated hot halos.
Forward citations
Cited by 2 Pith papers
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The Simulated Oxygen Shortage (SOS): Mapping the Missing OVI in Simulated Dwarf Galaxies to Subgrid Physics
The paper identifies underproduction of oxygen in low-mass simulated dwarf galaxies as the likely cause of missing OVI in the CGM, based on comparisons across two simulation suites.
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