PICS: Simulations of Strong Gravitational Lensing in Galaxy Clusters

Abstract

Gravitational lensing has become one of the most powerful tools available for investigating the 'dark side' of the universe. Cosmological strong gravitational lensing, in particular, probes the properties of the dense cores of dark matter halos over decades in mass and offers the opportunity to study the distant universe at flux levels and spatial resolutions otherwise unavailable. Studies of strongly-lensed variable sources offer yet further scientific opportunities. One of the challenges in realizing the potential of strong lensing is to understand the statistical context of both the individual systems that receive extensive follow-up study, as well as that of the larger samples of strong lenses that are now emerging from survey efforts. Motivated by these challenges, we have developed an image-simulation pipeline, PICS (Pipeline for Images of Cosmological Strong lensing) to generate realistic strong gravitational lensing signals from group and cluster scale lenses. PICS uses a low-noise and unbiased density estimator based on (resampled) Delaunay Tessellations to calculate the density field; lensed images are produced by ray-tracing images of actual galaxies from deep Hubble Space Telescope observations. Other galaxies, similarly sampled, are added to fill in the light cone. The pipeline further adds cluster-member galaxies and foreground stars into the lensed images. The entire image ensemble is then observed using a realistic point spread function which includes appropriate detector artifacts for bright stars. Noise is further added, including such non-Gaussian elements as noise window-paning from mosaiced observations, residual bad pixels, and cosmic rays. The aim is to produced simulated images that appear identical - to the eye (expert or otherwise) - to real observations in various imaging surveys.

20 pages, 13 figures, published

References in corpus (36)

• The Hubble Ultra Deep Field
• Galaxy Clusters Discovered via the Sunyaev-Zel'dovich Effect in the 2500-square-degree SPT-SZ survey
• Galaxies in the Hubble Ultra Deep Field: I. Detection, Multiband Photometry, Photometric Redshifts, and Morphology
• The population of galaxy-galaxy strong lenses in forthcoming optical imaging surveys
• Multiple Images of a Highly Magnified Supernova Formed by an Early-Type Cluster Galaxy Lens
• Cluster Lenses
• COSMOS: 3D weak lensing and the growth of structure
• Spectroscopic detections of CIII]1909 at z~6-7: A new probe of early star forming galaxies and cosmic reionisation
• CLASH-VLT: Insights on the mass substructures in the Frontier Fields Cluster MACS J0416.1-2403 through accurate strong lens modeling
• Strong Lens Time Delay Challenge: II. Results of TDC1
• Strong lensing optical depths in a \LambdaCDM universe
• The MUSIC of CLASH: predictions on the concentration-mass relation
• Separating baryons and dark matter in cluster cores: a full 2-D lensing and dynamic analysis of Abell 383 and MS2137-23
• Parametric Strong Gravitational Lensing Analysis of Abell 1689
• Combining Lens Distortion and Depletion to Map the Mass Distribution of A1689
• RingFinder: automated detection of galaxy-scale gravitational lenses in ground-based multi-filter imaging data
• Space Warps: I. Crowd-sourcing the Discovery of Gravitational Lenses
• Space Warps II. New Gravitational Lens Candidates from the CFHTLS Discovered through Citizen Science
• A Hubble & Spitzer Space Telescope Survey for Gravitationally-Lensed Galaxies: Further Evidence for a Significant Population of Low Luminosity Galaxies beyond Redshift Seven
• A New Survey for Giant Arcs
• Galaxy and Mass Assembly (GAMA): The halo mass of galaxy groups from maximum-likelihood weak lensing
• Gemini/GMOS Spectroscopy of 26 Strong Lensing Selected Galaxy Cluster Cores
• Arcfinder: An algorithm for the automatic detection of gravitational arcs
• Arc sensitivity to cluster ellipticity, asymmetries and substructures
• Realistic simulations of gravitational lensing by galaxy clusters: extracting arc parameters from mock DUNE images
• Dark matter halo abundances, clustering and assembly histories at high redshift
• The Hubble constant inferred from 18 time-delay lenses
• The Redshift Distribution of Giant Arcs in the Sloan Giant Arcs Survey
• A PCA-based automated finder for galaxy-scale strong lenses
• Strong lensing statistics and the power spectrum normalisation
• Can one determine cosmological parameters from multi-plane strong lens systems?
• The Gini Coefficient as a Tool for Image Family Idenitification in Strong Lensing Systems with Multiple Images
• The Detection and Statistics of Giant Arcs Behind CLASH Clusters
• Effects of the halo concentration distribution on strong-lensing optical depth and X-ray emission
• The giant arc statistics in the three year WMAP cosmological model
• Gravitational lensing in WDM cosmologies: The cross section for giant arcs

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• Machine learning and the physical sciences
• CMU DeepLens: Deep Learning For Automatic Image-based Galaxy-Galaxy Strong Lens Finding
• The Strong Gravitational Lens Finding Challenge
• The Outer Rim Simulation: A Path to Many-Core Supercomputers
• Strong lens modelling: comparing and combining Bayesian neural networks and parametric profile fitting
• Automated Lensing Learner: Automated Strong Lensing Identification with a Computer Vision Technique
• The impact of line-of-sight structures on measuring $H_0$ with strong lensing time-delays
• Auto-identification of unphysical source reconstructions in strong gravitational lens modelling
• Image simulations for gravitational lensing with SkyLens
• The importance of secondary halos for strong lensing in massive galaxy clusters across redshift
• The DES Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5,000 Sq. Deg. Footprint
• Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers
• The Gini Coefficient as a Morphological Measurement of Strongly Lensed Galaxies in the Image Plane
• Supporting High-Performance and High-Throughput Computing for Experimental Science
• Efficient Mass Estimate at the Core of Strong Lensing Galaxy Clusters Using the Einstein Radius
• The Last Journey. II. SMACC -- Subhalo Mass-loss Analysis using Core Catalogs
• Core Mass Estimates in Strong Lensing Galaxy Clusters Using a Single-Halo Lens Model
• A Modular Deep Learning Pipeline for Galaxy-Scale Strong Gravitational Lens Detection and Modeling
• Impact of Large-Scale Structure along Line-of-Sight on Time-Delay Cosmography
• Exotic Image Formation in Strong Gravitational Lensing by Clusters of Galaxies -- III: Statistics with HUDF