Crowded Cluster Cores. Algorithms for Deblending in Dark Energy Survey Images

Journal Article · Mon Oct 26 00:00:00 EDT 2015 · Publications of the Astronomical Society of the Pacific

DOI:https://doi.org/10.1086/684053· OSTI ID:1234844

Zhang, Yuanyuan ^[1]; McKay, Timothy A. ^[1]; Bertin, Emmanuel ^[2]; Jeltema, Tesla ^[3]; Miller, Christopher J. ^[1]; Rykoff, Eli ^[4]; Song, Jeeseon ^[5]

---

1. Univ. of Michigan, Ann Arbor, MI (United States)
2. Pierre and Marie Curie Univ., Paris (France)
3. Univ. of California, Santa Cruz, CA (United States)
4. SLAC National Accelerator Lab., Menlo Park, CA (United States)
5. Univ. of Michigan, Ann Arbor, MI (United States); Korea Astronomy and Space Science Inst., Daejeon (Korea)

Deep optical images are often crowded with overlapping objects. We found that this is especially true in the cores of galaxy clusters, where images of dozens of galaxies may lie atop one another. Accurate measurements of cluster properties require deblending algorithms designed to automatically extract a list of individual objects and decide what fraction of the light in each pixel comes from each object. In this article, we introduce a new software tool called the Gradient And Interpolation based (GAIN) deblender. GAIN is used as a secondary deblender to improve the separation of overlapping objects in galaxy cluster cores in Dark Energy Survey images. It uses image intensity gradients and an interpolation technique originally developed to correct flawed digital images. Our paper is dedicated to describing the algorithm of the GAIN deblender and its applications, but we additionally include modest tests of the software based on real Dark Energy Survey co-add images. GAIN helps to extract an unbiased photometry measurement for blended sources and improve detection completeness, while introducing few spurious detections. When applied to processed Dark Energy Survey data, GAIN serves as a useful quick fix when a high level of deblending is desired.

• Research Organization: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP)
• Grant/Contract Number: AC02-07CH11359
• OSTI ID: 1234844
• Report Number(s): FERMILAB-PUB-14-578-AE; arXiv eprint number arXiv:1409.2885
• Journal Information: Publications of the Astronomical Society of the Pacific, Vol. 127, Issue 957; ISSN 0004-6280
• Publisher: Astronomical Society of the Pacific
• Country of Publication: United States
• Language: English

Related Subjects

79 ASTRONOMY AND ASTROPHYSICS