In this paper, we investigate the possibility of selecting high-redshift Lyman-Break Galaxies (LBG) using current and future broadband wide photometric surveys, such as the Ultraviolet Near Infrared Optical Northern Survey (UNIONS) or the Vera C. Rubin Legacy Survey of Space and Time (LSST), using a Random Forest algorithm. This work is conducted in the context of future large-scale structure spectroscopic surveys like DESI-II, the next phase of the Dark Energy Spectroscopic Instrument (DESI), which will start around 2029. We use deep imaging data from the Hyper Suprime Camera (HSC) and the Canada-France-Hawaii Telescope Large Area U-band Deep Survey (CLAUDS) on the COSMOS and XMM-LSS fields. To predict the selection performance of LBGs with image quality similar to UNIONS, we degrade the u,g,r,i and z bands to UNIONS depth. The Random Forest algorithm is trained with the u,g,r,i and z bands to classify LBGs in the 2.5 < z < 3.5 range. We find that fixing a target density budget of 1,100 deg-2, the Random Forest approach gives a density of z > 2 targets of 873 deg-2, and a density of 493 deg-2 of confirmed LBGs after spectroscopic confirmation with DESI. This UNIONS-like selection was tested in a dedicated spectroscopic observation campaign of 1,000 targets with DESI on the COSMOS field, providing a safe spectroscopic sample with a mean redshift of 3. This sample is used to derive forecasts for DESI-II, assuming a sky coverage of 5,000 deg2. We predict uncertainties on Alcock-Paczynski parameters α ⊥ and α ∥ to be 0.7% and 1% for 2.6 < z < 3.2, resulting in a potential 2% measurement of the dark energy fraction at high redshift. Additionally, we estimate the uncertainty in local non-Gaussianity and predict σ f ≈ 7, which would be comparable to the current best precision achieved by Planck. The latter forecast suggests that achieving the precision required to place stringent constraints on inflationary models (σ f ≈ 1) using spectroscopic galaxy surveys necessitates the development of a next-generation (Stage V) spectroscopic survey.

Selection of high-redshift Lyman-Break Galaxies from broadband and wide photometric surveys / C. Payerne, W. D'Assignies Doumerg, C. Yèche, V. Ruhlmann-Kleider, A. Raichoor, D. Lang, J.N. Aguilar, S. Ahlen, S. Arnouts, D. Bianchi, D. Brooks, T. Claybaugh, S. Cole, A. De La Macorra, A. Dey, B. Dey, P. Doel, A. Font-Ribera, J.E. Forero-Romero, S.G.A. Gontcho, G. Gutierrez, S. Gwyn, K. Honscheid, S. Juneau, A. Lambert, M. Landriau, L.L. Guillou, M.E. Levi, C. Magneville, M. Manera, A. Meisner, R. Miquel, J. Moustakas, J.A. Newman, N. Palanque-Delabrouille, W. Percival, V. Picouet, F. Prada, I. Pérez-Ràfols, G. Rossi, E. Sanchez, M. Sawicki, D. Schlegel, M. Schubnell, D. Sprayberry, G. Tarlé, B.A. Weaver, H. Zou. - In: JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS. - ISSN 1475-7516. - 2025:5(2025), pp. 1-44. [10.1088/1475-7516/2025/05/031]

Selection of high-redshift Lyman-Break Galaxies from broadband and wide photometric surveys

D. Bianchi;
2025

Abstract

In this paper, we investigate the possibility of selecting high-redshift Lyman-Break Galaxies (LBG) using current and future broadband wide photometric surveys, such as the Ultraviolet Near Infrared Optical Northern Survey (UNIONS) or the Vera C. Rubin Legacy Survey of Space and Time (LSST), using a Random Forest algorithm. This work is conducted in the context of future large-scale structure spectroscopic surveys like DESI-II, the next phase of the Dark Energy Spectroscopic Instrument (DESI), which will start around 2029. We use deep imaging data from the Hyper Suprime Camera (HSC) and the Canada-France-Hawaii Telescope Large Area U-band Deep Survey (CLAUDS) on the COSMOS and XMM-LSS fields. To predict the selection performance of LBGs with image quality similar to UNIONS, we degrade the u,g,r,i and z bands to UNIONS depth. The Random Forest algorithm is trained with the u,g,r,i and z bands to classify LBGs in the 2.5 < z < 3.5 range. We find that fixing a target density budget of 1,100 deg-2, the Random Forest approach gives a density of z > 2 targets of 873 deg-2, and a density of 493 deg-2 of confirmed LBGs after spectroscopic confirmation with DESI. This UNIONS-like selection was tested in a dedicated spectroscopic observation campaign of 1,000 targets with DESI on the COSMOS field, providing a safe spectroscopic sample with a mean redshift of 3. This sample is used to derive forecasts for DESI-II, assuming a sky coverage of 5,000 deg2. We predict uncertainties on Alcock-Paczynski parameters α ⊥ and α ∥ to be 0.7% and 1% for 2.6 < z < 3.2, resulting in a potential 2% measurement of the dark energy fraction at high redshift. Additionally, we estimate the uncertainty in local non-Gaussianity and predict σ f ≈ 7, which would be comparable to the current best precision achieved by Planck. The latter forecast suggests that achieving the precision required to place stringent constraints on inflationary models (σ f ≈ 1) using spectroscopic galaxy surveys necessitates the development of a next-generation (Stage V) spectroscopic survey.
cosmological parameters from LSS; galaxy surveys; high redshift galaxies; redshift surveys;
Settore PHYS-05/A - Astrofisica, cosmologia e scienza dello spazio
2025
13-mag-2025
Article (author)
File in questo prodotto:
File Dimensione Formato  
2410.08062v2.pdf

embargo fino al 13/05/2026

Tipologia: Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione 5.85 MB
Formato Adobe PDF
5.85 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Payerne_2025_J._Cosmol._Astropart._Phys._2025_031.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 6.03 MB
Formato Adobe PDF
6.03 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1171840
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 2
  • OpenAlex ND
social impact