KINGFISH -- Key Insights on Nearby Galaxies: A Far-Infrared Survey with Herschel: Survey Description and Image Atlas
R.C. Kennicutt, D. Calzetti, G. Aniano, P. Appleton, L. Armus, P., Beirao, A.D. Bolatto, B. Brandl, A. Crocker, K. Croxall, D.A. Dale, J., Dononvan Meyer, B.T. Draine, C.W. Engelbracht, M. Galametz, K.D. Gordon, B., Groves, C.-N. Hao, G. Helou, J. Hinz, L.K. Hunt, B. Johnson

TL;DR
KINGFISH is a comprehensive far-infrared survey of 61 nearby galaxies using Herschel, aiming to understand the interstellar medium, star formation, and galaxy properties through multi-wavelength imaging and spectroscopy.
Contribution
This paper details the survey design, galaxy sample, observational methods, data processing, and provides a combined Spitzer-Herschel image atlas for the first time.
Findings
Complete far-infrared maps at multiple wavelengths for 61 galaxies.
Spectroscopic imaging of key atomic cooling lines across galaxy regions.
Integrated multi-wavelength dataset for studying ISM and star formation.
Abstract
The KINGFISH project (Key Insights on Nearby Galaxies: a Far-Infrared Survey with Herschel) is an imaging and spectroscopic survey of 61 nearby (d < 30 Mpc) galaxies, chosen to cover a wide range of galaxy properties and local interstellar medium (ISM) environments found in the nearby Universe. Its broad goals are to characterize the ISM of present-day galaxies, the heating and cooling of their gaseous and dust components, and to better understand the physical processes linking star formation and the ISM. KINGFISH is a direct descendant of the Spitzer Infrared Nearby Galaxies Survey (SINGS), which produced complete Spitzer imaging and spectroscopic mapping and a comprehensive set of multi-wavelength ancillary observations for the sample. The Herschel imaging consists of complete maps for the galaxies at 70, 100, 160, 250, 350, and 500 microns. The spectal line imaging of the principal…
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.
