An Overview of the Dwarf Galaxy Survey
S. C. Madden, A. Remy Ruyer, M. Galametz, D. Cormier, V. Lebouteiller,, F. Galliano, S. Hony, G. J. Bendo, M. W. L. Smith, M. Pohlen, H. Roussel, M., Sauvage, R. Wu, E. Sturm, A. Poglitsch, A. Contursi, V. Doublier, M. Baes, M., J. Barlow, A. Boselli, M. Boquien, L. R. Carlson

TL;DR
The Dwarf Galaxy Survey (DGS) uses extensive FIR and submm observations to study low-metallicity galaxies, revealing their dust, gas, and star formation properties across a broad metallicity and star formation range.
Contribution
This paper provides a comprehensive overview of the DGS, including sample selection, observational strategies, and the rich ancillary data, highlighting the survey's potential to advance understanding of low-metallicity ISM.
Findings
DGS includes 50 galaxies with metallicities from 1/50 Zsun to solar.
High-sensitivity FIR/submm maps and spectral lines reveal ISM properties.
The survey offers extensive data for studying dust and gas in low-metallicity environments.
Abstract
The Dwarf Galaxy Survey (DGS) program is studying low-metallicity galaxies using 230h of far-infrared (FIR) and submillimetre (submm) photometric and spectroscopic observations of the Herschel Space Observatory and draws to this a rich database of a wide range of wavelengths tracing the dust, gas and stars. This sample of 50 galaxies includes the largest metallicity range achievable in the local Universe including the lowest metallicity (Z) galaxies, 1/50 Zsun, and spans 4 orders of magnitude in star formation rates. The survey is designed to get a handle on the physics of the interstellar medium (ISM) of low metallicity dwarf galaxies, especially on their dust and gas properties and the ISM heating and cooling processes. The DGS produces PACS and SPIRE maps of low-metallicity galaxies observed at 70, 100, 160, 250, 350, and 500 mic with the highest sensitivity achievable to date in the…
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.
