Understanding galaxy evolution is one of the main objectives of observational cosmology, as it allows mapping the history of the Universe, from the dark ages to the present times (e.g. Madau & Dickinson, 2014; Buat, 2015). At the center of this evolution lies the InterStellar Medium (ISM). This complex intertwining of ionized, atomic and molecular gas phases mixed with dust grains, fills the volume of a galaxy, ultimately leading to star formation (SF), by gravitational collapse (e.g. Klessen & Glover, 2016). Although accounting for only of its mass, dust is an essential component of the ISM. It consists of solid particles () made out of the available heavy elements, predominantly arranged in silicate and carbonaceous compounds (e.g. Draine, 2003a). These grains, absorbing and scattering starlight, have a radical impact on a galaxy.
A detailed knowledge of the dust properties and their evolution is therefore imperative in order to both interpret observations of galaxies and model their ISM.
Dust physics is characterized by the great complexity of its make-up, as the number of ways to combine elements to build interstellar solids is virtually limitless. Most of the progress in this field thus relies on empirical constraints: observations and laboratory experiments on cosmic dust analogs. Our current knowledge of interstellar dust (ISD) properties is however hampered by several factors (Galliano et al., 2018, for a review). First, observations of interstellar regions are always the superimposition, along the line of sight and within the telescope beam, of a range of physical conditions: (i) intensity and hardness of the InterStellar Radiation Field (ISRF); (ii) gas density; and (iii) presence of shocks. Consequently, since we can never accurately recover the 3-Dimensional (3D) structure of a region, several degeneracies between the grain constitution and their excitation prevent a unique solution. Second, the grain constitution 1 is known to evolve under the effects of ISRF and gas density (e.g. Draine, 2009; Jones et al., 2013; Ysard et al., 2015). It is thus likely that, in addition to variations of excitation conditions, ISD observables are coming from a combination of altered grain mixtures. Finally, the derivation of precise dust properties, even from observations towards a uniform, uncontaminated region, is limited by an incomplete spectral coverage and by instrumental uncertainties.
It follows that a rigorous attempt at quantifying grain parameters and their evolution must account for these factors in both the choices of astrophysical targets and modeling approach.
Due to their proximity, ISM regions of our own galaxy, the Milky Way (MW), can be observed with the finest linear resolution. MW studies have consequently laid the ground for the development of physical dust models (Draine, 2003a, for a review). They are however limited by the small range of environmental conditions they span.
MW studies are also limited by the confusion along the sightline, as we are seeing the projected material of the entire disk. Finally, distances of interstellar clouds can be difficult to estimate for the same reason, although 3D maps of the MW are becoming more precise (e.g. Lallement et al., 2018).
In contrast, nearby galaxies (closer than Mpc; Galliano et al., 2018) represent an under-tapped population with several potentials. First, they harbor a wider range of environmental parameters, allowing us, in particular, to probe dust in extreme conditions.
Second, face-on galaxies, observed at high Galactic latitude, provide clearer sightlines than in the MW. Finally, the lower linear resolution we can reach in nearby objects ( pc to 1 kpc in the IR) is the ideal length scale to adopt a statistical description of the distribution of clouds and stars 2, whereas detailed, parsec-scale MW studies are left to the nearly impossible task of inferring the precise geometry of each single cloud and the position in space of the surrounding stars.
Most of my career until now has been devoted to studying the dust properties and their evolution in nearby galaxies. I have chosen to focus the present manuscript on the following directions.
It is divided as follows.
1.Stoichiometry, chemical composition, solid-state structure, size distribution and abundance relative to the gas.
2.The average distance between stars is pc, and the typical size of molecular clouds ranges from to pc (e.g. Solomon et al., 1987).
3.This means you can freely reproduce or modify a figure without my permission, as long as you credit my name, by citing this HDR, and give the link to the license.