Expected dust grain size distributions in galaxies detected by ALMA at $z>7$
Hsin-Min Liu, Hiroyuki Hirashita

TL;DR
This study models dust grain size distributions in high-redshift galaxies to identify dominant dust sources, proposing that extinction curves can distinguish between stellar ejecta and accretion-driven dust growth.
Contribution
It introduces a method to differentiate dust sources in early galaxies by analyzing predicted grain size distributions and extinction curves.
Findings
Large grains dominate if stellar ejecta are the main source.
Small grains are prevalent if dust growth by accretion is efficient.
Extinction curves are steeper in the accretion scenario.
Abstract
The dust properties in high-redshift galaxies provide clues to the origin of dust in the Universe. Although dust has been detected in galaxies at redshift , it is difficult to constrain the dominant dust sources only from the total dust amount. Thus, we calculate the evolution of grain size distribution, expecting that different dust sources predict different grain size distributions. Using the star formation time-scale and the total baryonic mass constrained by the data in the literature, we calculate the evolution of grain size distribution. To explain the total dust masses in ALMA-detected galaxies, the following two solutions are possible: (i) high dust condensation efficiency in stellar ejecta, and (ii) efficient accretion (dust growth by accreting the gas-phase metals in the interstellar medium). We find that these two scenarios predict significantly different grain…
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