Preprint / Version 0

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

Authors

  • R. Ruggeri
  • C. Blake
  • J. Aguilar
  • S. Ahlen
  • D. Bianchi
  • D. Brooks
  • F. J. Castander
  • T. Claybaugh
  • A. Cuceu
  • K. S. Dawson
  • A. de la Macorra
  • B. Dey
  • P. Doel
  • A. Elliott
  • N. Emas
  • S. Ferraro
  • A. Font-Ribera
  • J. E. Forero-Romero
  • C. Garcia-Quintero
  • E. Gaztañaga
  • S. Gontcho A Gontcho
  • G. Gutierrez
  • J. Guy
  • B. Hadzhiyska
  • H. K. Herrera-Alcantar
  • S. Heydenreich
  • K. Honscheid
  • C. Howlett
  • D. Huterer
  • M. Ishak
  • S. Joudaki
  • R. Joyce
  • D. Kirkby
  • A. Krolewski
  • O. Lahav
  • C. Lamman
  • M. Landriau
  • J. U. Lange
  • A. Leauthaud
  • M. E. Levi
  • M. Manera
  • A. Meisner
  • R. Miquel
  • J. Moustakas
  • S. Nadathur
  • J. A. Newman
  • W. J. Percival
  • C. Poppett
  • A. Porredon
  • F. Prada
  • I. Pérez-Ràfols
  • A. Robertson
  • G. Rossi
  • E. Sanchez
  • C. Saulder
  • D. Schlegel
  • M. Schubnell
  • A. Semenaite
  • H. Seo
  • J. Silber
  • D. Sprayberry
  • G. Tarlé
  • B. A. Weaver
  • P. Zarrouk
  • R. Zhou
  • H. Zou

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, and we explicitly model and marginalise over magnification contributions, which become non-negligible at $z \gtrsim 1$ due to the depth of the DESI ELG sample. We then compare the resulting bias-weighted redshift distributions to those calibrated using 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 provides a robust, complementary, and independent constraint capable of reducing one of the dominant systematic uncertainties in weak lensing cosmology.

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Posted

2025-12-17