Clustering redshift distribution calibration of weak lensing surveys using the DESI-DR1 spectroscopic dataset

We estimate the source redshift distribution of current weak lensing surveys by applying the clustering-based redshift calibration technique, using the galaxy redshift sample provided by the Dark Energy Spectroscopic Instrument Data Release 1 (DESI-DR1). We cross-correlate the Bright Galaxy Survey (BGS), Luminous Red Galaxies (LRGs) and Emission Line Galaxies (ELGs) from DESI, within the redshift range 0.1 < z < 1.6 , with overlapping tomographic source samples from the Dark Energy Survey (DES), Kilo-Degree Survey (KiDS), and Hyper Suprime-Cam (HSC) survey. Using realistic mock catalogues, we test the stability of the clustering redshift signal to fitting scale, reference-sample choice, and the evolution of source galaxy bias. We calibrate a source galaxy bias correction from simulations with conservative (factor-of-two inflated) priors to account for modelling uncertainties, and we explicitly model and marginalise over magnification contributions, which become non-negligible at z ≳ 1 due to the depth of the DESI ELG sample. We then compare the resulting bias-weighted redshift distributions to previously calibrated redshift distributions from the literature, based on self-organising map (SOM) techniques, finding agreement within uncertainties for all surveys and tomographic bins. Our results demonstrate that clustering redshifts enabled by DESI’s unprecedented spectroscopic sample provide a robust, complementary, and independent constraint capable of reducing one of the dominant systematic uncertainties in weak lensing cosmology.

Authors

Publication Details

Journal
The Open Journal of Astrophysics
Published
2026-11-06
DOI
https://doi.org/10.33232/001c.173639
Citations
5
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
4.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Clustering redshift distribution calibration of weak lensing surveys using the DESI-DR1 spectroscopic dataset

S. Heydenreich, Will J. Percival, Agne Semenaite, C. García-Quintero et al.
5 citations
The Open Journal of Astrophysics
Galaxies: Formation, Evolution, Phenomena
4.16
article

Clustering redshift distribution calibration of weak lensing surveys using the DESI-DR1 spectroscopic dataset

S. Heydenreich, Will J. Percival, Agne Semenaite, C. García-Quintero, A. Cuceu, Michael S. Schubnell, Ann Elliott, G Rossi, Francisco Javier Castander, D. Huterer, S. Nadathur, H. K. Herrera-Alcantar, Jeffrey A. Newman, Gregory Tarlé, Kyle Dawson, Andreu Font-Ribera, N Emas, A. Porredon, David Sprayberry, Shahab Joudaki, D. Bianchi, David J. Schlegel, Ignasi Pérez-Ràfols, Axel de la Macorra, Alex Krolewski, M. E. Levi, Rossana Ruggeri, H. Zou, Marc Manera, J. Guy, Eusebio Sanchez, Satya Gontcho A Gontcho, Alexie Leauthaud, Christoph Saulder, ENRIQUE GAZTAÑAGA, G. Gutierrez, O. Lahav, Cullan Howlett, J. E. Forero-Romero, Steven P. Ahlen, Aaron Meisner, Pauline Zarrouk, D. Brooks, John Moustakas, Claire Poppett, Mustapha Ishak, Rong Zhou, T. Claybaugh, Boryana Hadzhiyska, P. Doel, Simone Ferraro, F. Prada, B. A. Weaver, R. Miquel, K. Honscheid, J. Silber, B. Dey, J. Aguilar, C. Blake, H. Seo, C. Lamman, A. Robertson, J. U. Lange, D. Kirkby, M. Landriau, R. Joyce
article en
5 citations

Abstract

We estimate the source redshift distribution of current weak lensing surveys by applying the clustering-based redshift calibration technique, using the galaxy redshift sample provided by the Dark Energy Spectroscopic Instrument Data Release 1 (DESI-DR1). We cross-correlate the Bright Galaxy Survey (BGS), Luminous Red Galaxies (LRGs) and Emission Line Galaxies (ELGs) from DESI, within the redshift range 0.1 < z < 1.6 , with overlapping tomographic source samples from the Dark Energy Survey (DES), Kilo-Degree Survey (KiDS), and Hyper Suprime-Cam (HSC) survey. Using realistic mock catalogues, we test the stability of the clustering redshift signal to fitting scale, reference-sample choice, and the evolution of source galaxy bias. We calibrate a source galaxy bias correction from simulations with conservative (factor-of-two inflated) priors to account for modelling uncertainties, and we explicitly model and marginalise over magnification contributions, which become non-negligible at z ≳ 1 due to the depth of the DESI ELG sample. We then compare the resulting bias-weighted redshift distributions to previously calibrated redshift distributions from the literature, based on self-organising map (SOM) techniques, finding agreement within uncertainties for all surveys and tomographic bins. Our results demonstrate that clustering redshifts enabled by DESI’s unprecedented spectroscopic sample provide a robust, complementary, and independent constraint capable of reducing one of the dominant systematic uncertainties in weak lensing cosmology.

The Open Journal of AstrophysicsVol. 9
National Science Foundation, U.S. Department of Energy, Gordon and Betty Moore Foundation, Ministerio de Ciencia, Innovación y Universidades, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Office of Science, Science and Technology Facilities Council, Agencia Estatal de Investigación, Division of Astronomical Sciences
Openalex Percentile: Top 7%
Galaxies: Formation, Evolution, Phenomena
4.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon