Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

New Strong Gravitational Lenses from the DESI Legacy Imaging Surveys Data Release 9

Type de record:

datasetpaper
Créateur:
StoHuaGu,She
Éditeur:
arXiv
Hôte:avatar
We have conducted a search for strong gravitational lensing systems in the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys Data Release 9. This is the third paper in a series. These surveys together cover $\sim$19,000 deg$^2$ visible from the Northern Hemisphere, reaching a z-band AB magnitude of $\sim$22.5. We use a deep residual neural network, trained on a compilation of known lensing systems and high-grade candidates as well as nonlenses in the same footprint. After applying our trained neural network to the survey data, we visually inspect and rank images with probabilities above a threshold which has been chosen to balance precision and recall. We have found 1895 lens candidates, of which 1512 are identified for the first time. Combining the discoveries from this work with those from Papers I (335) and II (1210), we have discovered a total of 3057 new candidates in the Legacy Surveys. Updated final version of manuscript published by the Astronomical Journal, 11 pages, 10 figures, 4 tables. arXiv admin note: text overlap with arXiv:2005.04730

Visit

doi.orgarxiv.org

Tasks

computer visionimage classification

Tags

Cosmology and Nongalactic Astrophysics (astro-ph.CO)Instrumentation and Methods for Astrophysics (astro-ph.IM)FOS: Physical sciencesFOS: Physical sciences

Licenses

arXiv.org perpetual, non-exclusive licensehttp://arxiv.org/licenses/nonexclusive-distrib/1.0/

Similaires

Finding Strong Gravitational Lenses in the DESI DECam Legacy SurveyEuclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus fieldSystematic comparison of neural networks used in discovering strong gravitational lenses

Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey

International audience We perform a semi-automated search for strong gravitational le

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field

The Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses

Systematic comparison of neural networks used in discovering strong gravitational lenses

International audience Efficient algorithms are being developed to search for strong