Detailed dust modelling in the L-GALAXIES semi-analytic model of galaxy formation. Vijayan, A. P., Clay, S. J., Thomas, P. A., Yates, R. M., Wilkins, S. M., & Henriques, B. M. Monthly Notices of the Royal Astronomical Society, 489:4072–4089, November, 2019.
Detailed dust modelling in the L-GALAXIES semi-analytic model of galaxy formation [link]Paper  doi  abstract   bibtex   
We implement a detailed dust model into the L-Galaxies semi-analytical model which includes: injection of dust by type II and type Ia supernovae (SNe) and AGB stars; grain growth in molecular clouds; and destruction due to supernova-induced shocks, star formation, and reheating. Our grain growth model follows the dust content in molecular clouds and the inter-cloud medium separately, and allows growth only on pre-existing dust grains. At early times, this can make a significant difference to the dust growth rate. Above z ∼ 8, type II SNe are the primary source of dust, whereas below z ∼ 8, grain growth in molecular clouds dominates, with the total dust content being dominated by the latter below z ∼ 6. However, the detailed history of galaxy formation is important for determining the dust content of any individual galaxy. We introduce a fit to the dust-to-metal (DTM) ratio as a function of metallicity and age, which can be used to deduce the DTM ratio of galaxies at any redshift. At z ≲ 3, we find a fairly flat mean relation between metallicity and the DTM, and a positive correlation between metallicity and the dust-to-gas (DTG) ratio, in good agreement with the shape and normalization of the observed relations. We also match the normalization of the observed stellar mass-dust mass relation over the redshift range of 0-4, and to the dust mass function at z = 0. Our results are important in interpreting observations on the dust content of galaxies across cosmic time, particularly so at high redshift.
@article{vijayan_detailed_2019,
	title = {Detailed dust modelling in the {L}-{GALAXIES} semi-analytic model of galaxy formation},
	volume = {489},
	issn = {0035-8711},
	url = {http://adsabs.harvard.edu/abs/2019MNRAS.489.4072V},
	doi = {10.1093/mnras/stz1948},
	abstract = {We implement a detailed dust model into the L-Galaxies semi-analytical 
model which includes: injection of dust by type II and type Ia
supernovae (SNe) and AGB stars; grain growth in molecular clouds; and
destruction due to supernova-induced shocks, star formation, and
reheating. Our grain growth model follows the dust content in molecular
clouds and the inter-cloud medium separately, and allows growth only on
pre-existing dust grains. At early times, this can make a significant
difference to the dust growth rate. Above z ∼ 8, type II SNe are the
primary source of dust, whereas below z ∼ 8, grain growth in
molecular clouds dominates, with the total dust content being dominated
by the latter below z ∼ 6. However, the detailed history of galaxy
formation is important for determining the dust content of any
individual galaxy. We introduce a fit to the dust-to-metal (DTM) ratio
as a function of metallicity and age, which can be used to deduce the
DTM ratio of galaxies at any redshift. At z ≲ 3, we find a fairly
flat mean relation between metallicity and the DTM, and a positive
correlation between metallicity and the dust-to-gas (DTG) ratio, in good
agreement with the shape and normalization of the observed relations. We
also match the normalization of the observed stellar mass-dust mass
relation over the redshift range of 0-4, and to the dust mass function
at z = 0. Our results are important in interpreting observations on the
dust content of galaxies across cosmic time, particularly so at high
redshift.},
	urldate = {2020-03-26},
	journal = {Monthly Notices of the Royal Astronomical Society},
	author = {Vijayan, Aswin P. and Clay, Scott J. and Thomas, Peter A. and Yates, Robert M. and Wilkins, Stephen M. and Henriques, Bruno M.},
	month = nov,
	year = {2019},
	keywords = {Astrophysics - Astrophysics of Galaxies, dust, extinction, galaxies: ISM, galaxies: evolution, galaxies: formation, methods: analytical},
	pages = {4072--4089},
}

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