23 citations · 71 across the 7 of their papers we have counts for
7 papers
Tele-Correlation: Calibrating Shear-Shear Correlation with Real Data
Zhi Shen, Jun Zhang, Cong Liu +4
Tele-correlation refers to the correlation of galaxy shapes with large angular separations (e.g., degrees). Since there are no astrophysical reasons causing such a correlati…
Towards Optimal Reconstruction of Shear Field with PDF-Folding
Haoran Wang, Jun Zhang, Hekun Li +1
Weak lensing provides a direct way of mapping the density distribution in the universe. To reconstruct the density field from the shear catalog, an important step is to build the s…
Halo Properties and Mass Functions of Groups/Clusters from the DESI Legacy Imaging Surveys DR9
Jiaqi Wang, Xiaohu Yang, Jun Zhang +16
Based on a large group/cluster catalog recently constructed from the DESI Legacy Imaging Surveys DR9 using an extended halo-based group finder, we measure and model the group-galax…
Shear Measurement with Poorly Resolved Images
Jun Zhang, Cong Liu, Pedro Alonso Vaquero +4
Weak lensing studies typically require excellent seeing conditions for the purpose of maximizing the number density of well-resolved galaxy images. It is interesting to ask to what…
Tolerance For the Pixelation Effect in Shear Measurement
Zhi Shen, Jun Zhang, Hekun Li +6
Images taken by space telescopes typically have a superb spatial resolution, but a relatively poor sampling rate due to the finite CCD pixel size. Beyond the Nyquist limit, it beco…
Avoiding the Geometric Boundary Effect in Shear Measurement
Haoran Wang, Jun Zhang, Hekun Li +1
In image processing, source detections are inevitably affected by the presence of the geometric boundaries in the images, including the physical boundaries of the CCD, and the boun…
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…