A method to search for strong galaxy-galaxy lenses in optical imaging surveys

Abstract

We present a semi-automated method to search for strong galaxy-galaxy lenses in optical imaging surveys. Our search technique constrains the shape of strongly lensed galaxies (or arcs) in a multi-parameter space, which includes the third order (octopole) moments of objects. This method is applied to the Deep Lens Survey (DLS), a deep ground based weak lensing survey imaging to $R\sim 26$. The parameter space of arcs in the DLS is simulated using real galaxies extracted from deep HST fields in order to more accurately reproduce the properties of arcs. Arcs are detected in the DLS using a pixel thresholding method and candidate arcs are selected within this multi-parameter space. Examples of strong galaxy-galaxy lens candidates discovered in the DLS F2 field (4 square degrees) are presented.

arXiv commentAccepted for publication in MNRAS, 12 pages

References in corpus (28)

• The Great Observatories Origins Deep Survey: Initial Results From Optical and Near-Infrared Imaging
• The Hubble Deep Field: Observations, Data Reduction, and Galaxy Photometry
• The Hubble Ultra Deep Field
• Shapes and Shears, Stars and Smears: Optimal Measurements for Weak Lensing
• Is There A Cosmological Constant?
• A new catalog of photometric redshifts in the Hubble Deep Field
• WFPC2 Observations of the Hubble Deep Field-South
• Semi-linear gravitational lens inversion
• The CFHTLS Strong Lensing Legacy Survey: I. Survey overview and T0002 release sample
• Measurement of Galaxy Cluster Sizes, Radial Profiles, and Luminosity Functions from SDSS Photometric Data
• First Results On Shear-Selected Clusters From the Deep Lens Survey: Optical Imaging, Spectroscopy, and X-ray Followup
• Constraints on Cosmological Parameters from the Analysis of the Cosmic Lens All Sky Survey Radio-Selected Gravitational Lens Statistics
• Galaxy-Galaxy Flexion: Weak Lensing to Second Order
• The Importance of Lens Galaxy Environments
• Sloan Digital Sky Survey Spectroscopic Lens Search. I. Discovery of Intermediate-Redshift Star-Forming Galaxies Behind Foreground Luminous Red Galaxies
• A More Fundamental Plane
• The 8 o'clock Arc: A Serendipitous Discovery of a Strongly Lensed Lyman Break Galaxy in the SDSS DR4 Imaging Data
• Arcfinder: An algorithm for the automatic detection of gravitational arcs
• The Galaxy Octopole Moment as a Probe of Weak Lensing Shear Fields
• The Top Ten List of Gravitational Lens Candidates from the HST Medium Deep Survey
• SHELS: The Hectospec Lensing Survey
• The Lensed Arc Production Efficiency of Galaxy Clusters: A Comparison of Matched Observed and Simulated Samples
• Automatic detection of arcs and arclets formed by gravitational lensing
• A Strong-Lens Survey in AEGIS: the influence of large scale structure
• Strong Gravitational Lensing and Dark Energy Complementarity
• Photometry and Photometric Redshifts of Faint Galaxies in the Hubble Deep Field South NICMOS Field
• Strong Gravitational Lens Candidates in the GOODS ACS Fields
• ACS Observations of a Strongly Lensed Arc in a Field Elliptical

Cited by in corpus (20)

• The Sloan Lens ACS Survey. V. The Full ACS Strong-Lens Sample
• The Sloan Lens ACS Survey. VII. Elliptical Galaxy Scaling Laws from Direct Observational Mass Measurements
• CMU DeepLens: Deep Learning For Automatic Image-based Galaxy-Galaxy Strong Lens Finding
• Finding Strong Gravitational Lenses in the Kilo Degree Survey with Convolutional Neural Networks
• LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks
• Automated detection of galaxy-scale gravitational lenses in high resolution imaging data
• Effective Models for Statistical Studies of Galaxy-Scale Gravitational Lensing
• Testing Convolutional Neural Networks for finding strong gravitational lenses in KiDS
• A Neural Network Gravitational Arc Finder based on the Mediatrix filamentation Method
• The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: A Catalogue of Strong Galaxy-Galaxy Lens Candidates
• Lensing Probabilities for Spectroscopically Selected Galaxy-Galaxy Strong Lenses
• A search for edge-on galaxy lenses in the CFHT Legacy Survey
• Automated Lensing Learner: Automated Strong Lensing Identification with a Computer Vision Technique
• Using deep Residual Networks to search for galaxy-Lyα emitter lens candidates based on spectroscopic-selection
• The DES Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5,000 Sq. Deg. Footprint
• Deep Learning in Wide-field Surveys: Fast Analysis of Strong Lenses in Ground-based Cosmic Experiments
• Developing a Victorious Strategy to the Second Strong Gravitational Lensing Data Challenge
• Enhanced lensing rate by clustering of massive galaxies: newly discovered systems in the SLACS fields
• Optimizing machine learning methods to discover strong gravitational lenses in the Deep Lens Survey
• Analytic Solutions for Navarro--Frenk--White Lens Models for Low Characteristic Convergences