Weak lensing magnification in the Dark Energy Survey Science Verification Data
arXiv:1611.10326 · doi:10.1093/mnras/sty282
Abstract
In this paper the effect of weak lensing magnification on galaxy number counts is studied by cross-correlating the positions of two galaxy samples, separated by redshift, using data from the Dark Energy Survey Science Verification dataset. The analysis is carried out for two photometrically-selected galaxy samples, with mean photometric redshifts in the and ranges, in the riz bands. A signal is detected with a significance level in each of the bands tested, and is compatible with the magnification predicted by the CDM model. After an extensive analysis, it cannot be attributed to any known systematic effect. The detection of the magnification signal is robust to estimated uncertainties in the outlier rate of the pho- tometric redshifts, but this will be an important issue for use of photometric redshifts in magnification mesurements from larger samples. In addition to the detection of the magnification signal, a method to select the sample with the maximum signal-to-noise is proposed and validated with data.
arXiv comment18 pages, 16 figures, submitted to MNRAS
References in corpus (62)
- Scikit-learn: Machine Learning in Python
- Planck 2015 results. XIII. Cosmological parameters
- HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
- Weak Gravitational Lensing
- Observational Probes of Cosmic Acceleration
- Bayesian photometric redshift estimation
- The Dark Energy Camera
- Reconstructing the linear power spectrum of cosmological mass fluctuations
- Cosmology with cosmic shear observations: a review
- Weak Gravitational Lensing and its Cosmological Applications
- The Skewness of the Aperture Mass Statistic
- Systematic errors in weak lensing: application to SDSS galaxy-galaxy weak lensing
- Calibrating Redshift Distributions Beyond Spectroscopic Limits with Cross-Correlations
- The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Analysis of potential systematics
- TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests
- Detection of Cosmic Magnification with the Sloan Digital Sky Survey
- The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release
- The MICE Grand Challenge Lightcone Simulation I: Dark matter clustering
- Measuring the galaxy-mass and galaxy-dust correlations through magnification and reddening
- The MICE Grand Challenge Lightcone Simulation III: Galaxy lensing mocks from all-sky lensing maps
- Methods for Rapidly Processing Angular Masks of Next-Generation Galaxy Surveys
- The MICE Grand Challenge Lightcone Simulation II: Halo and Galaxy catalogues
- Photometric redshift analysis in the Dark Energy Survey Science Verification data
- Clustering of Sloan Digital Sky Survey III Photometric Luminous Galaxies: The Measurement, Systematics and Cosmological Implications
- Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing
- Catastrophic photometric redshift errors: weak lensing survey requirements
- CMB lensing tomography with the DES Science Verification galaxies
- SKYNET: an efficient and robust neural network training tool for machine learning in astronomy
- No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey
- Clustering-based redshift estimation: method and application to data
- Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data
- Anisotropic Magnification Distortion of the 3D Galaxy Correlation: I. Real Space
- CARS: The CFHTLS-Archive-Research Survey III. First detection of cosmic magnification in samples of normal high-z galaxies
- Reconstructing Redshift Distributions with Cross-Correlations: Tests and an Optimized Recipe
- The Dark Energy Survey Data Processing and Calibration System
- Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data
- Cosmological Information from Quasar-Galaxy Correlations induced by Weak Lensing
- Shear and Magnification: Cosmic Complementarity
- Cluster Magnification & the Mass-Richness Relation in CFHTLenS
- Improving the Accuracy of Cosmic Magnification Statistics
- Anisotropic Magnification Distortion of the 3D Galaxy Correlation: II. Fourier and Redshift Space
- Measuring Omega_0 with higher-order Quasar-Galaxy Correlations induced by Weak Lensing
- Modelling the Transfer Function for the Dark Energy Survey
- Unbiased methods for removing systematics from galaxy clustering measurements
- Correlation between galaxies and QSO in the SDSS:na signal from gravitational lensing magnification?
- Lensing Corrections to Features in the Angular Two-Point Correlation Function and Power Spectrum
- Clustering-based redshift estimation: application to VIPERS/CFHTLS
- Tomographic Magnification of Lyman Break Galaxies in The Deep Lens Survey
- HerMES: detection of cosmic magnification of sub-mm galaxies using angular cross-correlation
- Magnification as a Probe of Dark Matter Halos at high redshift
- Observational biases in flux magnification measurements
- Detection of Enhancement in Number Densities of Background Galaxies due to Magnification by Massive Galaxy Clusters
- A Prescription for Galaxy Biasing Evolution as a Nuisance Parameter
- Mitigating Systematic Errors in Angular Correlation Function Measurements from Wide Field Surveys
- Magnification Effects on Source Counts and Fluxes
- The Saas Fee Lectures on Strong Gravitational Lensing
- Galaxy bias from the Dark Energy Survey Science Verification data: combining galaxy density maps and weak lensing maps
- Magnification of Photometric LRGs by Foreground LRGs and Clusters in SDSS
- Galaxy clustering with photometric surveys using PDF redshift information
- Galaxy bias from galaxy-galaxy lensing in the DES Science Verification Data
- Gravitational Lensing and the Mass Distribution of Clusters
- Mass Distributions of Clusters Using Gravitational Magnification
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- Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog
- Euclid: The importance of galaxy clustering and weak lensing cross-correlations within the photometric Euclid survey
- Lagrangian perturbation theory for modified gravity
- Dark Energy Survey Year 3 results: Magnification modeling and impact on cosmological constraints from galaxy clustering and galaxy-galaxy lensing
- Magnification bias in galaxy surveys with complex sample selection functions
- The importance of magnification effects in galaxy-galaxy lensing
- Measuring anisotropic stress with relativistic effects
- A new estimator for gravitational lensing using galaxy and intensity mapping surveys
- Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data
- Detection of Cosmic Magnification via Galaxy Shear -- Galaxy Number Density Correlation from HSC Survey Data
- A method of weak lensing reconstruction through cosmic magnification with multi-band photometry information
- Stellar Reddening Based Extinction Maps for Cosmological Applications
- Magnification bias in the shear-ratio test: a viable mitigation strategy
- Gravitation And the Universe from large Scale-Structures: The GAUSS mission concept
- Weak Lensing Magnification Reconstruction with the Modified Internal Linear Combination Method
- Blending and obscuration in weak lensing magnification
- Intrinsic correlations of galaxy sizes in a hydrodynamical cosmological simulation
- A Framework for Measuring Weak-Lensing Magnification Using the Fundamental Plane
- Prospects for cosmic magnification measurements using HI intensity mapping
- Weak Lensing Reconstruction by Counting DECaLS Galaxies
- Splashback radius and the mass accretion rate of RASS MCMF galaxy clusters
- 6x2pt: Forecasting gains from joint weak lensing and galaxy clustering analyses with spectroscopic-photometric galaxy cross-correlations
- Probing Time-Dependent Dark Energy with the Flux Power Spectrum of the Lyman Forest