Weak Lensing Study in VOICE Survey I: Shear Measurement

Abstract

The VST Optical Imaging of the CDFS and ES1 Fields (VOICE) Survey is a Guaranteed Time program carried out with the ESO/VST telescope to provide deep optical imaging over two 4 deg${}^2$ patches of the sky centred on the CDFS and ES1 pointings. We present the cosmic shear measurement over the 4 deg${}^2$ covering the CDFS region in the $r$-band using LensFit. Each of the four tiles of 1 deg${}^2$ has more than one hundred exposures, of which more than 50 exposures passed a series of image quality selection criteria for weak lensing study. The $5\sigma$ limiting magnitude in $r$- band is 26.1 for point sources, which is $\sim$1 mag deeper than other weak lensing survey in the literature (e.g. the Kilo Degree Survey, KiDS, at VST). The photometric redshifts are estimated using the VOICE $u,g,r,i$ together with near-infrared VIDEO data $Y,J,H,K_s$. The mean redshift of the shear catalogue is 0.87, considering the shear weight. The effective galaxy number density is 16.35 gal/arcmin${}^2$, which is nearly twice the one of KiDS. The performance of LensFit on such a deep dataset was calibrated using VOICE-like mock image simulations. Furthermore, we have analyzed the reliability of the shear catalogue by calculating the star-galaxy cross-correlations, the tomographic shear correlations of two redshift bins and the contaminations of the blended galaxies. As a further sanity check, we have constrained cosmological parameters by exploring the parameter space with Population Monte Carlo sampling. For a flat $\Lambda$CDM model we have obtained ${\Sigma }_8$ = ${\sigma }_8({\Omega }_m/0.3{)}^{0.5}$ = $0.68_{-0.15}^{+0.11}$.

arXiv comment15 pages, 16 figures, 4 tables. MNRAS Accepted

References in corpus (45)

• Planck 2015 results. XIII. Cosmological parameters
• Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Parameter Results
• Weak Gravitational Lensing
• Gaia Data Release 1. Summary of the astrometric, photometric, and survey properties
• Astrophysics Source Code Library
• The Hyper Suprime-Cam SSP Survey: Overview and Survey Design
• KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing
• Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix
• CFHTLenS: The Canada-France-Hawaii Telescope Lensing Survey
• Cosmology with cosmic shear observations: a review
• Bayesian Galaxy Shape Measurement for Weak Lensing Surveys - III. Application to the Canada-France-Hawaii Telescope Lensing Survey
• Gravitational Lensing Analysis of the Kilo Degree Survey
• Weak lensing for precision cosmology
• Evidence for the accelerated expansion of the Universe from weak lensing tomography with COSMOS
• The VISTA Deep Extragalactic Observations (VIDEO) Survey
• CFHTLenS: Combined probe cosmological model comparison using 2D weak gravitational lensing
• The first and second data releases of the Kilo-Degree Survey
• Discriminating weak lensing from intrinsic spin correlations using the curl-gradient decomposition
• Bayesian Galaxy Shape Measurement for Weak Lensing Surveys -I. Methodology and a Fast Fitting Algorithm
• B-modes in cosmic shear from source redshift clustering
• The first-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey
• Analysis of two-point statistics of cosmic shear: I. Estimators and covariances
• The third data release of the Kilo-Degree Survey and associated data products
• Faint Galaxies in deep ACS observations
• The DES Science Verification Weak Lensing Shear Catalogues
• CFHTLenS: Cosmological constraints from a combination of cosmic shear two-point and three-point correlations
• Cosmic Shear Analysis with CFHTLS Deep data
• The Effective Number Density of Galaxies for Weak Lensing Measurements in the LSST Project
• Cosmic shear results from the deep lens survey - I: Joint constraints on omega_m and sigma_8 with a two-dimensional analysis
• Bayesian Galaxy Shape Measurement for Weak Lensing Surveys -II. Application to Simulations
• CFHTLenS tomographic weak lensing: Quantifying accurate redshift distributions
• Supernova rates from the SUDARE VST-Omegacam search. I
• Dense Gas Tracers and Star Formation Laws in Active Galaxies: APEX Survey of HCN J=4-3, HCO+ J=4-3, and CS J=7-6
• Cosmic Shear Measurements with DES Science Verification Data
• Cosmological Constraints From Weak Lensing Peak Statistics With CFHT Stripe 82 Survey
• Cosmic Shear Results from the Deep Lens Survey - II: Full Cosmological Parameter Constraints from Tomography
• Constraining $f(R)$ Gravity Theory Using Weak Lensing Peak Statistics from the Canada-France-Hawaii-Telescope Lensing Survey
• The HerMES SPIRE submillimeter local luminosity function
• Variability-selected Active Galactic Nuclei in the VST-SUDARE/VOICE Survey of the COSMOS Field
• Supernova rates from the SUDARE VST-Omegacam search II. Rates in a galaxy sample
• SUDARE-VOICE variability-selection of Active Galaxies in the Chandra Deep Field South and the SERVS/SWIRE region
• Mask Effects on Cosmological Studies with Weak Lensing Peak Statistics
• A weak lensing analysis of the Abell 383 cluster
• CosmoPMC: Cosmology Population Monte Carlo
• Weak Lensing Study in VOICE Survey II: Shear Bias Calibrations

Cited by in corpus (11)

• Photometric redshifts with machine learning, lights and shadows on a complex data science use case
• Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies
• Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies
• Shear Measurement with Poorly Resolved Images
• Selection of optically variable active galactic nuclei via a random forest algorithm
• Weak Lensing Study in VOICE Survey II: Shear Bias Calibrations
• Galaxy-galaxy lensing in the VOICE deep survey
• Rejection criteria based on outliers in the KiDS photometric redshifts and PDF distributions derived by machine learning
• Identification of problematic epochs in astronomical time series through transfer learning
• Lenses In VoicE (LIVE): Searching for strong gravitational lenses in the VOICE@VST survey using Convolutional Neural Networks
• RadioLensfit: an HPC Tool for Accurate Galaxy Shape Measurement with SKA