DUNE: Dust depletion UNified method across cosmic time and Environments
Christina Konstantopoulou, Annalisa De Cia, Jens-Kristian Krogager,, C\'edric Ledoux, Julia Roman-Duval, Edward B. Jenkins, Tanita Ramburuth-Hurt,, and Anna Velichko

TL;DR
This paper introduces DUNE, a unified method to quantify dust depletion of metals across different cosmic environments and times, using observed correlations among multiple metal tracers.
Contribution
The novel approach combines all available dust tracers into a multidimensional correlation space, enabling a comprehensive and assumption-free characterization of dust depletion.
Findings
Established linear correlations among dust tracers in diverse environments.
Determined dust depletion levels for multiple elements including Fe, Zn, Si, and others.
Provided guidelines for applying the method to observational data.
Abstract
We present a novel method to characterize dust depletion, namely, the depletion of metals into dust grains. We used observed correlations among relative abundances combining a total of 17 metals in diverse galactic environments, including the Milky Way (MW), Large Magellanic Cloud (LMC), Small Magellanic Cloud (SMC), and damped Lyman- absorbers (DLAs) towards quasars and gamma-ray bursts (GRBs). We only considered the relative abundances of metals that qualify as tracers of dust and we used all available dust tracers. We find linear correlations among all studied dust tracers in a multidimensional space, where each dimension corresponds to an individual dust tracer. The fit to the linear correlations among the dust tracers describes the tendencies of different elements when depleting into dust grains. We determined the overall strength of dust depletion, , along…
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Taxonomy
TopicsAtmospheric Ozone and Climate
