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- W3087030488 abstract "We have applied stellar population synthesis to 500 pc sized regions in a sample of 102 galaxy discs observed with the MUSE spectrograph. We derived the star formation history and analyse specifically the recent ($20rm{Myr}$) and past ($570rm{Myr}$) age bins. Using a star formation self-regulator model we can derive local mass-loading factors, $eta$ for specific regions, and find that this factor depends on the local stellar mass surface density, $Sigma_*$, in agreement with the predictions form hydrodynamical simulations including supernova feedback. We integrate the local $eta$-$Sigma_*$ relation using the stellar mass surface density profiles from the Spitzer Survey of Stellar Structure in Galaxies (S4G) to derive global mass-loading factors, $eta_{rm{G}}$, as a function of stellar mass, $M_*$. The $eta_{rm{G}}$-$M_*$ relation found is in very good agreement with hydrodynamical cosmological zoom-in galaxy simulations. The method developed here offers a powerful way of testing different implementations of stellar feedback, to check on how realistic are their predictions." @default.
- W3087030488 created "2020-09-25" @default.
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- W3087030488 date "2020-09-23" @default.
- W3087030488 modified "2023-10-16" @default.
- W3087030488 title "A quantitative demonstration that stellar feedback locally regulates galaxy growth" @default.
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- W3087030488 doi "https://doi.org/10.1093/mnras/staa2906" @default.
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