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  Dark Energy Survey Year 3 Results: Measuring the survey transfer function with Balrog

Everett, S., Yanny, B., Kuropatkin, N., Huff, E. M., Zhang, Y., Myles, J., et al. (2022). Dark Energy Survey Year 3 Results: Measuring the survey transfer function with Balrog. The Astrophysical Journal Supplement Series, 258(1): 15. doi:10.3847/1538-4365/ac26c1.

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Everett, S., Author
Yanny, B., Author
Kuropatkin, N., Author
Huff, E. M., Author
Zhang, Y., Author
Myles, J., Author
Masegian, A., Author
Elvin-Poole, J., Author
Allam, S., Author
Bernstein, G. M., Author
Sevilla-Noarbe, I., Author
Splettstoesser, M., Author
Sheldon, E., Author
Jarvis, M., Author
Amon, A., Author
Harrison, I., Author
Choi, A., Author
Hartley, W. G., Author
Alarcon, A., Author
Sánchez, C., Author
Gruen, D., AuthorEckert, K., AuthorPrat, J., AuthorTabbutt, M., AuthorBusti, V., AuthorBecker, M. R., AuthorMacCrann, N., AuthorDiehl, H. T., AuthorTucker, D. L., AuthorBertin, E., AuthorJeltema, T., AuthorDrlica-Wagner, A., AuthorGruendl, R. A., AuthorBechtol, K., AuthorRosell, A. Carnero, AuthorAbbott, T. M. C., AuthorAguena, M., AuthorAnnis, J., AuthorBacon, D., AuthorBhargava, S., AuthorBrooks, D., AuthorBurke, D. L., AuthorKind, M. Carrasco, AuthorCarretero, J., AuthorCastander, F. J., AuthorConselice, C., AuthorCostanzi, M., Authorda Costa, L. N., AuthorPereira, M. E. S., AuthorVicente, J. De, AuthorDeRose, J., AuthorDesai, S., AuthorEifler, T. F., AuthorEvrard, A. E., AuthorFerrero, I., AuthorFosalba, P., AuthorFrieman, J., AuthorGarcía-Bellido, J., AuthorGaztanaga, E., AuthorGerdes, D. W., AuthorGutierrez, G., AuthorHinton, S. R., AuthorHollowood, D. L., AuthorHonscheid, K., AuthorHuterer, D., AuthorJames, D. J., AuthorKent, S., AuthorKrause, E., AuthorKuehn, K., AuthorLahav, O., AuthorLima, M., AuthorLin, H., AuthorMaia, M. A. G., AuthorMarshall, J. L., AuthorMelchior, P., AuthorMenanteau, F., AuthorMiquel, R., AuthorMohr, J. J.1, Author              Morgan, R., AuthorMuir, J., AuthorOgando, R. L. C., AuthorPalmese, A., AuthorPaz-Chinchón, F., AuthorPlazas, A. A., AuthorRodriguez-Monroy, M., AuthorRomer, A. K., AuthorRoodman, A., AuthorSanchez, E., AuthorScarpine, V., AuthorSerrano, S., AuthorSmith, M., AuthorSoares-Santos, M., AuthorSuchyta, E., AuthorSwanson, M. E. C., AuthorTarle, G., AuthorTo, C., AuthorTroxel, M. A., AuthorVarga, T. N.1, Author              Weller, J.1, Author              Wilkinson, R. D., Author more..
Affiliations:
1Optical and Interpretative Astronomy, MPI for Extraterrestrial Physics, Max Planck Society, ou_159895              

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 Abstract: We describe an updated calibration and diagnostic framework, Balrog, used to directly sample the selection and photometric biases of the Dark Energy Survey (DES) Year 3 (Y3) data set. We systematically inject onto the single-epoch images of a random 20% subset of the DES footprint an ensemble of nearly 30 million realistic galaxy models derived from DES Deep Field observations. These augmented images are analyzed in parallel with the original data to automatically inherit measurement systematics that are often too difficult to capture with generative models. The resulting object catalog is a Monte Carlo sampling of the DES transfer function and is used as a powerful diagnostic and calibration tool for a variety of DES Y3 science, particularly for the calibration of the photometric redshifts of distant "source" galaxies and magnification biases of nearer "lens" galaxies. The recovered Balrog injections are shown to closely match the photometric property distributions of the Y3 GOLD catalog, particularly in color, and capture the number density fluctuations from observing conditions of the real data within 1% for a typical galaxy sample. We find that Y3 colors are extremely well calibrated, typically within ∼1–8 mmag, but for a small subset of objects, we detect significant magnitude biases correlated with large overestimates of the injected object size due to proximity effects and blending. We discuss approaches to extend the current methodology to capture more aspects of the transfer function and reach full coverage of the survey footprint for future analyses.

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Language(s): eng - English
 Dates: 2022-01-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3847/1538-4365/ac26c1
 Degree: -

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Title: The Astrophysical Journal Supplement Series
Source Genre: Journal
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Publ. Info: London : IOP Publishing
Pages: - Volume / Issue: 258 (1) Sequence Number: 15 Start / End Page: - Identifier: ISSN: 0067-0049
CoNE: https://pure.mpg.de/cone/journals/resource/954922828211_1