Condensed Matter Astrophysics: A Prescription for Determining the Species-Specific Composition and Quantity of Interstellar Dust using X-rays
Julia C. Lee, Jingen Xiang (Harvard), Bruce Ravel (NIST), Jeffrey, Kortright (LBNL), Kathryn Flanagan (STScI)

TL;DR
This paper introduces a novel X-ray spectroscopy method to determine the composition and quantity of interstellar dust, utilizing high-resolution spectra from Chandra and XMM-Newton, supported by laboratory measurements of dust analogs.
Contribution
It presents a new technique combining laboratory cross-section measurements and X-ray absorption spectra to analyze dust properties and gas-to-dust ratios in astrophysical environments.
Findings
Initial cross-section measurements of iron-based dust candidates at Fe L-edges.
A new prescription for normalizing low S/N L-edge measurements.
Discussion of future prospects with higher resolution X-ray missions.
Abstract
We present a new technique for determining the *quantity and composition* of dust in astrophysical environments using <6keV X-rays. We argue that high resolution X-ray spectra as enabled by the Chandra and XMM-Newton gratings should be considered a powerful and viable new resource for delving into a relatively unexplored regime for directly determining dust properties: composition, quantity, and distribution. We present initial cross-section measurements of astrophysically likely iron-based dust candidates taken at the Lawrence Berkeley National Laboratory Advanced Light Source synchrotron beamline, as an illustrative tool for the formulation of our methodology. Focused at the 700eV Fe LIII and LII photoelectric edges, we discuss a technique for modeling dust properties in the soft X-rays using L-edge data, to complement K-edge X-ray absorption fine structure analysis techniques…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
