Fuzzy Galaxies or Cirrus? Decomposition of Galactic Cirrus in Deep Wide-field Images

Qing Liu, Roberto Abraham, Peter G. Martin, William P. Bowman, Pieter van Dokkum, Shany Danieli, Ekta Patel, Steven R. Janssens, Zili Shen, Seery Chen, Ananthan Karunakaran, Michael A. Keim, Deborah Lokhorst, Imad Pasha, Douglas L. Welch

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Diffuse Galactic cirrus, or diffuse Galactic light (DGL), can be a prominent component in the background of deep wide-field imaging surveys. The DGL provides unique insights into the physical and radiative properties of dust grains in our Milky Way, and it also serves as a contaminant on deep images, obscuring the detection of background sources such as low surface brightness galaxies. However, it is challenging to disentangle the DGL from other components of the night sky. In this paper, we present a technique for the photometric characterization of Galactic cirrus based on (1) extraction of its filamentary or patchy morphology and (2) incorporation of color constraints obtained from Planck thermal dust models. Our decomposition method is illustrated using a ~10 deg2 imaging data set obtained by the Dragonfly Telephoto Array, and its performance is explored using various metrics that characterize the flatness of the sky background. As a concrete application of the technique, we show how removal of cirrus allows low surface brightness galaxies to be identified on cirrus-rich images. We also show how modeling the cirrus in this way allows optical DGL intensities to be determined with high radiometric precision.

Original languageEnglish
Article number175
JournalAstrophysical Journal
Volume979
Issue number2
DOIs
StatePublished - 1 Feb 2025
Externally publishedYes

Funding

FundersFunder number
Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University
National Aeronautics and Space Administration
National Science Foundation
High Energy Physics
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Ohio State University
University of Toronto
University of Chicago
Higher Education Funding Council for England
National Energy Research Scientific Computing Center
Financiadora de Estudos e Projetos
Ministry of Education and Science of Ukraine
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Deutsche Forschungsgemeinschaft
Dunlap Institute
Natural Sciences and Engineering Research Council of Canada
University of California
Science and Technology Facilities Council of the United Kingdom
Ministério da Ciência, Tecnologia e Inovação
Office of Science
National Centre for Supercomputing Applications
Collaborating Institutions in the Dark Energy Survey
National Astronomical Observatories, Chinese Academy of Sciences
National Natural Science Foundation of China12120101003, 11433005
Division of Astronomical SciencesAST-0950945
Chinese Academy of Sciences#XDB09000000
Ministry of Finance114A11KYSB20160057
U.S. Department of EnergyDE-AC02-05CH1123
Space Telescope Science InstituteNAS5-26555, AR-16628

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