English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Dwarf galaxies are known to have remarkably low star formation efficiency dueto strong feedback. Adopting the dwarf galaxies of the Milky Way as alaboratory, we explore a flexible semi-analytic galaxy formation model tounderstand how the feedback processes shape the satellite galaxies of the MilkyWay. Using Markov-Chain Monte-Carlo, we exhaustively search a large parameterspace of the model and rigorously show that the general wisdom of strongoutflows as the primary feedback mechanism cannot simultaneously explain thestellar mass function and the mass--metallicity relation of the Milky Waysatellites. An extended model that assumes that a fraction of baryons isprevented from collapsing into low-mass halos in the first place can beaccurately constrained to simultaneously reproduce those observations. Theinference suggests that two different physical mechanisms are needed to explainthe two different data sets. In particular, moderate outflows with weak halomass dependence are needed to explain the mass--metallicity relation, andprevention of baryons falling into shallow gravitational potentials of low-masshalos (e.g. "pre-heating") is needed to explain the low stellar mass fractionfor a given subhalo mass.

The importance of preventive feedback: inference from observations of the stellar masses and metallicities of Milky Way dwarf galaxies