Abstract
One of the key observations regarding the stellar initial mass function (IMF)
is its near-universality in the Milky Way (MW), which provides a powerful way
to test different star formation models that predict the IMF. However, those
models are almost universally "cloud-scale" or smaller -- they take as input or
simulate single molecular clouds (GMCs), clumps, or cores, and predict the
resulting IMF as a function of the cloud properties. Without a model for the
progenitor properties of all clouds which formed the stars at different
locations in the MW (including ancient stellar populations formed in
high-redshift, likely gas-rich dwarf progenitor galaxies that looked little
like the Galaxy today), the predictions cannot be explored. We therefore
utilize a high-resolution fully-cosmological simulation (from the Feedback In
Realistic Environments project), which forms a MW-like galaxy with reasonable
mass, morphology, abundances, and star formation history, and explicitly
resolves massive GMCs; we combine this with several cloud-scale IMF models
applied independently to every star-forming resolution element in the
simulation to synthesize the predicted IMF variations in the present-day
galaxy. We specifically explore broad classes of models where the IMF depends
on the Jeans mass, the sonic or "turbulent Bonner-Ebert" mass, fragmentation
with some polytropic equation-of-state, or where it is self-regulated by
proto-stellar feedback. We show that all of these models, except the
feedback-regulated models, predict far more variation ($0.6-1$ dex
$1\,\sigma$ scatter in the IMF turnover mass) than is observed in the MW. This
strongly constraints the parameters that can drive IMF variation in nearby
galaxies, as well.
Users
Please
log in to take part in the discussion (add own reviews or comments).