ESA Voyage 2050 White Paper: Detecting life outside our solar system with a large high-contrast-imaging mission
arXiv e-prints (2019) arXiv:1908.01803-arXiv:1908.01803
Efficient solution of the anisotropic spherically-aligned axisymmetric Jeans equations of stellar hydrodynamics for galactic dynamics
(2019)
Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations Astro2020 APC White Paper
(2019)
On the Observed Diversity of Star Formation Efficiencies in Giant Molecular Clouds
Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 468:4 (2019) 5482-5491
Abstract:
Observations find a median star formation efficiency per free-fall time in Milky Way Giant Molecular Clouds (GMCs) on the order of $\epsilon_{\rm ff}\sim 1\%$ with dispersions of $\sim0.5\,{\rm dex}$. The origin of this scatter in $\epsilon_{\rm ff}$ is still debated and difficult to reproduce with analytical models. We track the formation, evolution and destruction of GMCs in a hydrodynamical simulation of a Milky Way-like galaxy and by deriving cloud properties in an observationally motivated way, measure the distribution of star formation efficiencies which are in excellent agreement with observations. We find no significant link between $\epsilon_{\rm ff}$ and any measured global property of GMCs (e.g. gas mass, velocity dispersion). Instead, a wide range of efficiencies exist in the entire parameter space. From the cloud evolutionary tracks, we find that each cloud follow a \emph{unique} evolutionary path which gives rise to wide diversity in all properties. We argue that it is this diversity in cloud properties, above all else, that results in the dispersion of $\epsilon_{\rm ff}$.Galaxy formation and evolution science in the era of the Large Synoptic Survey Telescope
Nature Reviews Physics Springer Nature 1:7 (2019) 450-462