The DECADE cosmic shear project II: photometric redshift calibration of the source galaxy sample

We present the photometric redshift characterization and calibration for the Dark Energy Camera All Data Everywhere (DECADE) weak lensing dataset: a catalog of 107 million galaxies observed by the Dark Energy Camera (DECam) in the northern Galactic cap. The redshifts are estimated from a combination of wide-field photometry, deep-field photometry with associated redshift estimates, and a transfer function between the wide field and deep field that is estimated using a source injection catalog. We construct four tomographic bins for the galaxy catalog, and estimate the redshift distribution, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mrow> <mml:mo stretchy="true" form="prefix">(</mml:mo> <mml:mi>z</mml:mi> <mml:mo stretchy="true" form="postfix">)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> , within each one using the Self-organizing Map Photo-Z (SOMPZ) methodology. Our estimates include the contributions from sample variance, zeropoint calibration uncertainties, and redshift biases, as quantified for the deep-field dataset. The total uncertainties on the mean redshifts are <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:msub> <mml:mi>σ</mml:mi> <mml:mrow> <mml:mo stretchy="false" form="prefix">⟨</mml:mo> <mml:mi>z</mml:mi> <mml:mo stretchy="false" form="postfix">⟩</mml:mo> </mml:mrow> </mml:msub> <mml:mo>≈</mml:mo> <mml:mn>0.01</mml:mn> </mml:mrow> </mml:math> . The SOMPZ estimates are then compared to those from the clustering redshift method, obtained by cross-correlating our source galaxies with galaxies in spectroscopic surveys, and are shown to be consistent with each other.

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Publication Details

Journal
The Open Journal of Astrophysics
Published
2025-10-22
DOI
https://doi.org/10.33232/001c.146159
Citations
1
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Astronomy and Astrophysical Research
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article
Field-Weighted Citation Impact
1.19
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article

The DECADE cosmic shear project II: photometric redshift calibration of the source galaxy sample

Katherine Herron, K. Herner, A. K. Vivas, M. Adamów et al.
1 citations
The Open Journal of Astrophysics
Astronomy and Astrophysical Research
1.19
article

The DECADE cosmic shear project II: photometric redshift calibration of the source galaxy sample

Katherine Herron, K. Herner, A. K. Vivas, M. Adamów, N.P. Kuropatkin, M. R. Becker, M. Gatti, Chin Yi Tan, D. J. James, W. Cerny, C. E. Martínez-Vázquez, S. Mau, L. F. Secco, A. Alarcon, D. Gruen, Guy S. Stringfellow, J. Myles, A Navarro-Alsina, Pol Massana, Raul Teixeira, J. A. Carballo-Bello, Nathalie Chicoine, C. Doux, Andrew B. Pace, J. McCullough, Burçı̇n Mutlu-Pakdı̇l, G. Giannini, P. S. Ferguson, C. R. Bom, Marco Raveri, J. D. Sakowska, M. Navabi, K. Eckert, D. J. Suson, Dhayaa Anbajagane, A. Drlica-Wagner, L. Santana-Silva, A. Choi, R. A. Gruendl, I. Sevilla-Noarbe, A. Amon, C. Chang, M. Yamamoto, N. E. D. Noël, A. H. Riley, Y. Choi, W. G. Hartley, M. Soares-Santos, G. E. Medina, D. J. Sand, Erica Huff, Z. Zhang, D. Sanchez-Cid
article en
1 citations

Abstract

We present the photometric redshift characterization and calibration for the Dark Energy Camera All Data Everywhere (DECADE) weak lensing dataset: a catalog of 107 million galaxies observed by the Dark Energy Camera (DECam) in the northern Galactic cap. The redshifts are estimated from a combination of wide-field photometry, deep-field photometry with associated redshift estimates, and a transfer function between the wide field and deep field that is estimated using a source injection catalog. We construct four tomographic bins for the galaxy catalog, and estimate the redshift distribution, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mrow> <mml:mo stretchy="true" form="prefix">(</mml:mo> <mml:mi>z</mml:mi> <mml:mo stretchy="true" form="postfix">)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> , within each one using the Self-organizing Map Photo-Z (SOMPZ) methodology. Our estimates include the contributions from sample variance, zeropoint calibration uncertainties, and redshift biases, as quantified for the deep-field dataset. The total uncertainties on the mean redshifts are <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:msub> <mml:mi>σ</mml:mi> <mml:mrow> <mml:mo stretchy="false" form="prefix">⟨</mml:mo> <mml:mi>z</mml:mi> <mml:mo stretchy="false" form="postfix">⟩</mml:mo> </mml:mrow> </mml:msub> <mml:mo>≈</mml:mo> <mml:mn>0.01</mml:mn> </mml:mrow> </mml:math> . The SOMPZ estimates are then compared to those from the clustering redshift method, obtained by cross-correlating our source galaxies with galaxies in spectroscopic surveys, and are shown to be consistent with each other.

The Open Journal of AstrophysicsVol. 8
Openalex Percentile: Top 16%
Astronomy and Astrophysical Research
1.19
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