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19932026
most citedOverview of the DESI Legacy Imaging Surveys

1.9k citations · 40.3k across the 816 of their papers we have counts for

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201 papers · 1 filter

astro-ph.CO2025

The Power of DESI for Photometric Redshift Calibration: A Case Study with KiDS-1000

Diana Blanco, Alexie Leauthaud, Johannes Ulf Lange +64

Accurate redshift estimates are a critical requirement for weak lensing surveys and one of the main uncertainties in constraints on dark energy and large-scale cosmic structure. In…

astro-ph.CO2025★ 1 cited

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

R. Ruggeri, C. Blake, J. Aguilar +63

We estimate the source redshift distribution of current weak lensing surveys by applying the clustering-based redshift calibration technique, using the galaxy redshift sample provi…

astro-ph.CO2025

Cosmological Constraints from Full-Scale Clustering and Galaxy-Galaxy Lensing with DESI DR1

Johannes U. Lange, Alexandra Wells, Andrew Hearin +76

We present constraints on cosmic structure growth from the analysis of galaxy clustering and galaxy--galaxy lensing with galaxies from the Dark Energy Spectroscopic Instrument (DES…

astro-ph.CO2025

Euclid preparation. Review of forecast constraints on dark energy and modified gravity

Euclid Collaboration, N. Frusciante, M. Martinelli +326

The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…

astro-ph.CO2025

Probing the environment around GW170817 with DESI: insights on galaxy group peculiar velocities for standard siren measurements

A. J. Amsellem, A. Palmese, K. Douglass +56

We present a new measurement of the Hubble constant, , following the gravitational wave event GW170817 and Dark Energy Spectroscopic Instrument (DESI) observations. A standard…

astro-ph.IM2025

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data

Euclid Collaboration, N. E. P. Lines, T. E. Collett +301

In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…