A Caltech Library Service

Simulating the dust content of galaxies: successes and failures

McKinnon, Ryan and Torrey, Paul and Vogelsberger, Mark and Hayward, Christopher C. and Marinacci, Federico (2017) Simulating the dust content of galaxies: successes and failures. Monthly Notices of the Royal Astronomical Society, 468 (2). pp. 1505-1521. ISSN 0035-8711.

[img] PDF - Published Version
See Usage Policy.


Use this Persistent URL to link to this item:


We present full-volume cosmological simulations, using the moving-mesh code AREPO to study the coevolution of dust and galaxies. We extend the dust model in AREPO to include thermal sputtering of grains and investigate the evolution of the dust mass function, the cosmic distribution of dust beyond the interstellar medium and the dependence of dust-to-stellar mass ratio on galactic properties. The simulated dust mass function is well described by a Schechter fit and lies closest to observations at z = 0. The radial scaling of projected dust surface density out to distances of 10 Mpc around galaxies with magnitudes 17 < i < 21 is similar to that seen in Sloan Digital Sky Survey data, albeit with a lower normalization. At z=0, the predicted dust density of dust ≈1.3×10^(−6) lies in the range of dust values seen in low-redshift observations. We find that the dust-to-stellar mass ratio anticorrelates with stellar mass for galaxies living along the star formation main sequence. Moreover, we estimate the 850 μm number density functions for simulated galaxies and analyse the relation between dust-to-stellar flux and mass ratios at z = 0. At high redshift, our model fails to produce enough dust-rich galaxies, and this tension is not alleviated by adopting a top-heavy initial mass function. We do not capture a decline in dust from z = 2 to 0, which suggests that dust production mechanisms more strongly dependent on star formation may help to produce the observed number of dusty galaxies near the peak of cosmic star formation.

Item Type:Article
Related URLs:
URLURL TypeDescription
Torrey, Paul0000-0002-5653-0786
Vogelsberger, Mark0000-0001-8593-7692
Hayward, Christopher C.0000-0003-4073-3236
Marinacci, Federico0000-0003-3816-7028
Additional Information:© 2017 The Authors. Accepted 2017 February 21. Received 2017 February 20; in original form 2016 June 8. We thank Volker Springel for providing us with access to AREPO. We also thank the referee for his/her constructive feedback. The simulations were performed on the joint MIT-Harvard computing cluster supported by MKI and FAS. RM acknowledges support from the DOE CSGF under grant number DE-FG02-97ER25308. MV acknowledges support through an MIT RSC award. CCH is grateful to the Gordon and Betty Moore Foundation for financial support.
Funding AgencyGrant Number
Department of Energy (DOE)DE-FG02-97ER25308
Gordon and Betty Moore FoundationUNSPECIFIED
Issue or Number:2
Record Number:CaltechAUTHORS:20170525-122651608
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:77761
Deposited By: Joy Painter
Deposited On:25 May 2017 20:32
Last Modified:09 Mar 2020 13:19

Repository Staff Only: item control page