Andrew Wetzel edited quenching_time.tex  about 9 years ago

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\subsection{Inferred Environmental Quenching Timescales for Satellites}  We now translate the quiescent fractions in Figure~\ref{fig:quiescent_fraction} into the typical timescales over which  environmental processes quench satellites after they fall into a host halo, following the methodology of \citet{Wetzel2013}. First, motivated by the dearth of isolated dwarf \emph{isolated}  galaxies with $\mstar<10^9\msun$  that are quiescent (see Introduction), our model assumes that all satellite dwarf galaxies satellites  were actively star-forming prior to first infall. Because many galaxies with  $\mstar(z=0)<10^4\msun$ may be have been  quenched at high redshift due to by  cosmic reionization \citep[e.g.,][]{Weisz2014a,Brown2014}, we do not model those masses. Star-formation The star-formation  histories for satellites at $\mstar(z=0)=10^{4-5}\msun$ show a mix of them having completely quenched complete quenching  by $z\gtrsim3$ (e.g., Bootes I, Leo IV) andshowing  signs of star formation at $z\lesssim1$ (e.g., And XI, And XII, And XVI) \citep{Weisz2014a,Weisz2014c,Brown2014}, so quenching at these masses may be driven by a mix of reionization and the host-halo environment. %Leo T had recent star formation, suggesting that galaxies at least down to logM_star ~ 5 can form stars today if not for environment.  Though, That said,  the 100\% quiescent fraction for satellites at this $\mstar$ means that if both processes are responsible, both are highly efficient, and that efficient.  Furthermore,  if satellites that were quenched by reionization have a similar infall time infall-time  distribution as those that were quenched by the host-halo environment,it would not affect  our results. modeling approach remains valid.  Thus, we include this $\mstar$ in our modeling results  but label it distinctly to emphasize caution in interpretation.   Within each 1-dex bin of $\mstar$, we use the ELVIS simulations to compute the distribution of infall times that satellites at $z=0$ experienced.  Assuming that environmental quenching likelihood correlates with time since infall, we designate those that fell in earliest as having been quenched, and we adjust the time-since-infall threshold for quenching until we match the observed quiescent fraction in each bin.