The CFHTLS Strong Lensing Legacy Survey: I. Survey overview and T0002 release sample
arXiv:astro-ph/0610362 · doi:10.1051/0004-6361:20065810
Abstract
AIMS: We present data from the CFHTLS Strong Lensing Legacy Survey (SL2S). Due to the unsurpassed combined depth, area and image quality of the Canada-France-Hawaii Legacy Survey it is becoming possible to uncover a large, statistically well-defined sample of strong gravitational lenses which spans the dark halo mass spectrum predicted by the concordance model from galaxy to cluster haloes. METHODS: We describe the development of several automated procedures to find strong lenses of various mass regimes in CFHTLS images. RESULTS: The preliminary sample of about 40 strong lensing candidates discovered in the CFHTLS T0002 release, covering an effective field of view of 28 deg is presented. These strong lensing systems were discovered using an automated search and consist mainly of gravitational arc systems with splitting angles between 2 and 15 arcsec. This sample shows for the first time that it is possible to uncover a large population of strong lenses from galaxy groups with typical halo masses of about . We discuss the future evolution of the SL2S project and its main scientific aims for the next 3 years, in particular our observational strategy to extract the hundreds of gravitational rings also present in these fields.
11 pages, 5 figures, A&A in press
References in corpus (2)
Cited by in corpus (68)
- A Bayesian approach to strong lensing modelling of galaxy clusters
- The Sloan Lens ACS Survey. V. The Full ACS Strong-Lens Sample
- Cluster Lenses
- The Sloan Lens ACS Survey. VI: Discovery and analysis of a double Einstein ring
- The Halos of Satellite Galaxies: the Companion of the Massive Elliptical Lens SL2S J08544-0121
- First catalog of strong lens candidates in the COSMOS field
- The SL2S Galaxy-scale Lens Sample. II. Cosmic evolution of dark and luminous mass in early-type galaxies
- RingFinder: automated detection of galaxy-scale gravitational lenses in ground-based multi-filter imaging data
- The SINFONI Nearby Elliptical Lens Locator Survey: Discovery of two new low-redshift strong lenses and implications for the initial mass function in giant early-type galaxies
- LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks
- Strong lensing optical depths in a LCDM universe II: the influence of the stellar mass in galaxies
- The Sloan Digital Sky Survey Quasar Lens Search. II. Statistical Lens Sample from the Third Data Release
- Super-resolving distant galaxies with gravitational telescopes: Keck-LGSAO and Hubble imaging of the lens system SDSSJ0737+3216
- HOLISMOKES -- II. Identifying galaxy-scale strong gravitational lenses in Pan-STARRS using convolutional neural networks
- Realistic simulations of gravitational lensing by galaxy clusters: extracting arc parameters from mock DUNE images
- Gravitational lenses and lens candidates identified from the COSMOS field
- Cosmological Constraints from Gravitational Lens Time Delays
- Strong lens systems search in the Dark Energy Survey using Convolutional Neural Networks
- The Sloan Digital Sky Survey Quasar Lens Search. IV. Statistical Lens Sample from the Fifth Data Release
- A PCA-based automated finder for galaxy-scale strong lenses
- The use of convolutional neural networks for modelling large optically-selected strong galaxy-lens samples
- CHITAH: Strong-gravitational-lens hunter in imaging surveys
- The Sloan Bright Arcs Survey : Six Strongly Lensed Galaxies at z=0.4-1.4
- Strong lensing statistics and the power spectrum normalisation
- HOLISMOKES -- IV. Efficient mass modeling of strong lenses through deep learning
- A Neural Network Gravitational Arc Finder based on the Mediatrix filamentation Method
- Strong lensing in UNIONS: Toward a pipeline from discovery to modeling
- Cluster candidates around low power radio-galaxies at z~1-2 in COSMOS
- Medium-resolution spectroscopy of FORJ0332-3557: Probing the interstellar medium and stellar populations of a lensed Lyman-break galaxy at z=3.77
- Systematic errors induced by the elliptical power-law model in galaxy-galaxy strong lens modeling
- Hubble Asteroid Hunter: II. Identifying strong gravitational lenses in HST images with crowdsourcing
- Strong lens modelling: comparing and combining Bayesian neural networks and parametric profile fitting
- Mass models and environment of the new quadruply lensed quasar SDSS J1330+1810
- SARCS strong-lensing galaxy groups: II - mass-concentration relation and strong-lensing bias
- Lensing Probabilities for Spectroscopically Selected Galaxy-Galaxy Strong Lenses
- A method to search for strong galaxy-galaxy lenses in optical imaging surveys
- A machine learning based approach to gravitational lens identification with the International LOFAR Telescope
- Dark matter-baryons separation at the lowest mass scale: the Bullet Group
- Extensive light profile fitting of galaxy-scale strong lenses
- Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning
- VLT/Magellan spectroscopy of 29 strong lensing selected galaxy clusters
- Galaxy-Galaxy Weak Lensing Measurements from SDSS: I. Image Processing and Lensing signals
- Auto-identification of unphysical source reconstructions in strong gravitational lens modelling
- Finding Strong Gravitational Lenses Through Self-Attention
- HOLISMOKES -- IX. Neural network inference of strong-lens parameters and uncertainties from ground-based images
- HOLISMOKES -- X. Comparison between neural network and semi-automated traditional modeling of strong lenses
- Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events
- The SOAR Gravitational Arc Survey - I: Survey overview and photometric catalogs
- The DES Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5,000 Sq. Deg. Footprint
- Galaxy clusters in the SDSS Stripe 82 based on galaxy photometric redshifts
- The SDSS Discovery of a Strongly Lensed Post-Starburst Galaxy at z=0.766
- TDCOSMO XV: Population Analysis of Lines of Sight of 25 Strong Galaxy-Galaxy Lenses with Extreme Value Statistics
- A model for galaxy-galaxy strong lensing statistics in surveys
- Deep Learning in Wide-field Surveys: Fast Analysis of Strong Lenses in Ground-based Cosmic Experiments
- AGEL: Is the Conflict Real? Investigating Galaxy Evolution Models using Strong Lensing at 0.3 < z < 0.9
- Selection effects on X-ray and strong-lensing clusters in various cosmologies
- Combining Strong Lensing and Dynamics in Galaxy Clusters: integrating MAMPOSSt within LENSTOOL I. Application on SL2S J02140-0535
- Developing a Victorious Strategy to the Second Strong Gravitational Lensing Data Challenge
- Characterizing SL2S galaxy groups using the Einstein radius
- The abundance of Bullet-groups in LCDM
- Velocity dispersion function evolution from strong lensing statistics
- Constraining Cosmology with Double-source-plane Strong Gravitational Lenses from the AGEL Survey
- YOLO-CL cluster detection in the Rubin/LSST DC2 simulation
- The COSMOS-Web Lens Survey (COWLS) III: forecasts versus data
- HOLISMOKES XVI: Lens search in HSC-PDR3 with a neural network committee and post-processing for false-positive removal
- JWSTs PEARLS: NIRCam imaging and NIRISS spectroscopy of a star-forming galaxy lensed into a near-Einstein Ring by a massive elliptical galaxy
- Galaxy-scale lens search in the PEARLS NEP TDF and CEERS JWST fields
- LenNet: Direct Detection and Localization of Strong Gravitational Lenses in Wide-Field Sky Survey Images