Integrated Galaxy Light from Stacking $10^5$ Random Pointings in the Dark Energy Survey Data
Jenna E. Moore, Seth H. Cohen, Philip Mauskopf, Evan Scannapieco

TL;DR
This paper introduces a stacking method to measure integrated galaxy light from DES data, providing consistent results without foreground removal, and highlighting the technique's advantages and limitations.
Contribution
The paper presents a novel stacking approach to measure integrated galaxy light directly from survey data, avoiding foreground subtraction and enabling new insights into diffuse light.
Findings
Measured IGL values in multiple bands consistent with previous studies
Stacking reduces sensitivity to local backgrounds but not large-scale diffuse light
Method provides a new way to analyze galaxy light without foreground removal
Abstract
We present a new technique for measuring the integrated galaxy light (IGL) with stacked image data from the Dark Energy Survey (DES). We extract arcminute cutouts from nearly 100,000 randomly selected positions in the g, r, i, z, and Y bands from the DES data release 2 (DR2) maps. We generate source catalogs and masks for each cutout and the images are subsequently stacked to generate deep images of the sky both with and without sources. The IGL is then calculated by taking the difference in average brightness between stacks that contain galaxies and stacks in which galaxies have been masked. We find IGL values of and nW/m/sr. These measurements, which require no foreground estimation or removal, are in agreement with previously reported IGL values derived from galaxy number…
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.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
