A seven square degrees survey for galaxy-scale gravitational lenses with the HST imaging archive

Abstract

We present the results of a visual search for galaxy-scale gravitational lenses in nearly 7 square degrees of Hubble Space Telescope (HST) images. The dataset comprises the whole imaging data ever taken with the Advanced Camera for Surveys (ACS) in the filter F814W (I-band) up to August 31st, 2011, i.e. 6.03 square degrees excluding the field of the Cosmic Evolution Survey (COSMOS) which has been the subject of a separate visual search. In addition, we have searched for lenses in the whole Wide Field Camera 3 (WFC3) near-IR imaging dataset in all filters (1.01 square degrees) up to the same date. Our primary goal is to provide a sample of lenses with a broad range of different morphologies and lens-source brightness contrast in order estimate a lower limit to the number of galaxy-scale strong lenses in the future Euclid survey in its VIS band. Our criteria to select lenses are purely morphological as we do not use any colour or redshift information.The final candidate selection is very conservative hence leading to a nearly pure but incomplete sample. We find 49 new lens candidates: 40 in the ACS images and 9 in the WFC3 images. Out of these, 16 candidates are secure lenses owing to their striking morphology, 21 more are very good candidates, and 12 more have morphologies compatible with gravitational lensing but also compatible with other astrophysical objects. It is therefore insensitive to cosmic variance and allows to estimate the number of galaxy-scale strong lenses on the sky for a putative survey depth, which is the main result of the present work. Because of the incompleteness of the sample, the estimated lensing rates should be taken as lower limits. Using these, we anticipate that a 15 000 square degrees space survey such as Euclid will find at least 60 000 galaxy-scale strong lenses down to a limiting AB magnitude of I = 24.5 (10-sigma) or I = 25.8 (3-sigma).

arXiv comment13 pages, 12 figures, Accepted for publication in MNRAS

References in corpus (36)

• The Cosmic Evolution Survey (COSMOS) -- Overview
• Detailed Decomposition of Galaxy Images. II. Beyond Axisymmetric Models
• Galaxy Zoo : Morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey
• Euclid Definition Study Report
• The First Release COSMOS Optical and Near-IR Data and Catalog
• The Sloan Lens ACS Survey. X. Stellar, Dynamical, and Total Mass Correlations of Massive Early-type Galaxies
• The Sloan Lens ACS Survey. III - The Structure and Formation of Early-type Galaxies and their Evolution since z~1
• The Sloan Lens ACS Survey. I. A Large Spectroscopically Selected Sample of Massive Early-Type Lens Galaxies
• The Sloan Lens ACS Survey. IV: the mass density profile of early-type galaxies out to 100 effective radii
• The Sloan Lens ACS Survey. V. The Full ACS Strong-Lens Sample
• Dissecting the Gravitational Lens B1608+656. II. Precision Measurements of the Hubble Constant, Spatial Curvature, and the Dark Energy Equation of State
• Weak Gravitational Lensing with COSMOS: Galaxy Selection and Shape Measurements
• Power Spectrum Tomography with Weak Lensing
• Two accurate time-delay distances from strong lensing: Implications for cosmology
• The Sloan Lens ACS Survey. VI: Discovery and analysis of a double Einstein ring
• The BOSS Emission-Line Lens Survey (BELLS). I. A large spectroscopically selected sample of Lens Galaxies at redshift ~ 0.5
• The CFHTLS Strong Lensing Legacy Survey: I. Survey overview and T0002 release sample
• The CFHTLS-Strong Lensing Legacy Survey (SL2S): Investigating the group-scale lenses with the SARCS sample
• COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses XIII: Time delays and 9-yr optical monitoring of the lensed quasar RX J1131-1231
• First catalog of strong lens candidates in the COSMOS field
• Two-dimensional kinematics of SLACS lenses: II. Combined lensing and dynamics analysis of early-type galaxies at z = 0.08 - 0.33
• Cosmic Chronometers: Constraining the Equation of State of Dark Energy. II. A Spectroscopic Catalog of Red Galaxies in Galaxy Clusters
• The SWELLS survey. II. Breaking the disk-halo degeneracy in the spiral galaxy gravitational lens SDSS J2141-0001
• Automated detection of galaxy-scale gravitational lenses in high resolution imaging data
• Arcfinder: An algorithm for the automatic detection of gravitational arcs
• The SWELLS Survey. I. A large spectroscopically selected sample of edge-on late-type lens galaxies
• Gravitational lenses and lens candidates identified from the COSMOS field
• The Top Ten List of Gravitational Lens Candidates from the HST Medium Deep Survey
• Cosmic Evolution of Virial and Stellar Mass in Massive Early-Type Galaxies
• A Strong-Lens Survey in AEGIS: the influence of large scale structure
• On the evolution of environmental and mass properties of strong lens galaxies in COSMOS
• The Hubble constant and new discoveries in cosmology
• On the contribution of large scale structure to strong gravitational lensing
• Three Gravitational Lenses for the Price of One: Enhanced Strong Lensing through Galaxy Clustering
• Gauging the dark matter fraction in a $L_{\ast }$ S0 galaxy at z=0.47 through gravitational lensing from deep HST/ACS imaging
• Enhanced lensing rate by clustering of massive galaxies: newly discovered systems in the SLACS fields

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• Searching for galaxy-scale strong-lenses in galaxy clusters with deep networks -- I: methodology and network performance
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