43 citations · 53 across the 3 of their papers we have counts for
7 papers
Galaxy-galaxy lensing in the VOICE deep survey
Ruibiao Luo, Liping Fu, Wentao Luo +11
The multi-band photometry of the VOICE imaging data, overlapping with 4.9 deg of the Chandra Deep Field South (CDFS) area, enables both shape measurement and photometric redshi…
Detection of Cosmic Magnification via Galaxy Shear -- Galaxy Number Density Correlation from HSC Survey Data
Xiangkun Liu, Dezi Liu, Zucheng Gao +5
We propose a novel method to detect cosmic magnification signals by cross-correlating foreground convergence fields constructed from galaxy shear measurements with background galax…
Deep Learning for Strong Lensing Search: Tests of the Convolutional Neural Networks and New Candidates from KiDS DR3
Zizhao He, Xinzhong Er, Qian Long +6
Convolutional Neutral Networks have been successfully applied in searching for strong lensing systems, leading to discoveries of new candidates from large surveys. On the other han…
Towards a Bias-Free Selection Function in Shear Measurement
Hekun Li, Jun Zhang, Dezi Liu +5
Sample selection is a necessary preparation for weak lensing measurement. It is well-known that selection itself may introduce bias in the measured shear signal. Using image simula…
Variability and transient search in the SUDARE-VOICE field: a new method to extract the light curves
Dezi Liu, Wenqiang Deng, Zuhui Fan +12
The VST Optical Imaging of the CDFS and ES1 Fields (VOICE) Survey, in synergy with the SUDARE survey, is a deep optical imaging of the CDFS and ES1 fields using the VLT Surv…
Testing Shear Recovery with Field Distortion
Jun Zhang, Fuyu Dong, Hekun Li +7
The tilt, rotation, or offset of each CCD with respect to the focal plane, as well as the distortion of the focal plane itself, cause shape distortions to the observed objects, an…