Mapping the Interstellar Medium with Near-Infrared Diffuse Interstellar Bands
G. Zasowski, B. Menard, D. Bizyaev, D. A. Garcia Hernandez, A. E., Garcia Perez, M. R. Hayden, J. Holtzman, J. A. Johnson, K. Kinemuchi, S. R., Majewski, D. L. Nidever, M. Shetrone, and J. C. Wilson

TL;DR
This study maps the Milky Way's interstellar medium using near-infrared diffuse interstellar bands from SDSS-III/APOGEE data, revealing their correlation with dust extinction and Galactic structure, and providing a new tool for ISM analysis.
Contribution
It introduces the first large-scale, detailed map of DIBs in the near-infrared, establishing their relationship with dust and Galactic features, and determines the intrinsic wavelength and kinematics of the DIB carrier.
Findings
DIB strength correlates linearly with dust extinction over three orders of magnitude.
The DIB distribution follows an exponential disk with a 100 pc scaleheight and 5 kpc scalelength.
DIB features trace large-scale Galactic structures like the bar and warp.
Abstract
We map the distribution and properties of the Milky Way's interstellar medium as traced by diffuse interstellar bands (DIBs) detected in near-infrared stellar spectra from the SDSS-III/APOGEE survey. Focusing exclusively on the strongest DIB in the H-band, at ~1.527 microns, we present a projected map of the DIB absorption field in the Galactic plane, using a set of about 60,000 sightlines that reach up to 15 kpc from the Sun and probe up to 30 magnitudes of visual extinction. The strength of this DIB is linearly correlated with dust reddening over three orders of magnitude in both DIB equivalent width (W_DIB) and extinction, with a power law index of 1.01 +/- 0.01, a mean relationship of W_DIB/A_V = 0.1 Angstrom mag^-1, and a dispersion of ~0.05 Angstrom mag^-1 at extinctions characteristic of the Galactic midplane. These properties establish this DIB as a powerful, independent probe…
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.
