75 citations · 321 across the 31 of their papers we have counts for
31 papers
Spectral Microlensing of Extragalactic H II Regions by Stellar-Mass Black Holes
Dezi Liu
Most of the Milky Way's predicted stellar-mass black holes remain hidden, especially at high Galactic latitudes or in the Galactic halo, where traditional dense-field stellar micro…
Comparative analysis of missing data imputation methods for CSST survey: Impact on photometric redshift estimation performance
Ling Wang, Zhu Chen, Zhijian Luo +42
Improving the accuracy of photometric redshifts (photo-) is essential for reliable statistical studies of cosmology and galaxy evolution. However, missing photometric bands are…
CFHT MegaCam Two Deep Fields Imaging Survey (2DFIS) II: Decoding the Lensing Profile of a "Rotating" Cluster with Deep CFHT Imaging
Yicheng Li, Liping Fu, Wentao Luo +15
We present a multi-wavelength analysis of the galaxy cluster RXCJ0110.0+1358 (), a rotating cluster candidate, combining deep CFHT imaging, SDSS photometry, spectroscopic…
Photometric light curve studies: potential bias induced by exposure time
Dezi Liu, Zuhui Fan
In photometric observations, the flux averaged over the preset exposure time is usually used as the representation of an object's true flux at the middle of the exposure interval.…
UPdec-Webb: A Dataset for Coaddition of JWST NIRCam Images
Lei Wang, Huanyuan Shan, Lin Nie +19
We present the application of the image coaddition algorithm, Up-sampling and PSF Deconvolution Coaddition (UPDC), for stacking multiple exposure images captured by the James Webb…
Large Scale Overdensity of Lyman Break Galaxies Around the z=6.3 Ultraluminous Quasar J0100+2802
Maria Pudoka, Feige Wang, Xiaohui Fan +8
We study the environment of the z=6.33 ultraluminous quasar SDSS J010013.02+280225.8 (J0100) to understand its association with large-scale structure. Theoretical models propose hi…
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
Xu Li, Ruiqi Sun, Jiameng Lv +29
Strong gravitational lensing is a powerful tool for investigating dark matter and dark energy properties. With the advent of large-scale sky surveys, we can discover strong lensing…
How to coadd images: II. Anti-aliasing and PSF deconvolution
Lei Wang, Huanyuan Shan, Lin Nie +8
We have developed a novel method for co-adding multiple under-sampled images that combines the iteratively reweighted least squares and divide-and-conquer algorithms. Our approach…
HybPSF: Hybrid PSF reconstruction for the observed JWST NIRCam image
Lin Nie, Huanyuan Shan, Guoliang Li +6
The James Webb Space Telescope (JWST) ushers in a new era of astronomical observation and discovery, offering unprecedented precision in a variety of measurements such as photometr…
Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations
Chen Qiu, Nicola R. Napolitano, Rui Li +12
Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed det…
The chromatic Point Spread Function of weak lensing measurement in Chinese Space Station survey Telescope
Q. Y. Liu, X. Z. Er, Z. H. Fan +6
The weak gravitational lensing is a powerful tool in modern cosmology. To accurately measure the weak lensing signal, one has to control the systematic bias to a small level. One o…
CSST WL preparation I: forecast the impact from non-Gaussian covariances and requirements on systematics-control
Ji Yao, Huanyuan Shan, Ran Li +11
The precise estimation of the statistical errors and accurate removal of the systematical errors are the two major challenges for the stage IV cosmic shear surveys. We explore thei…
Forklens: Accurate weak-lensing shear measurement with deep learning
Zekang Zhang, Huanyuan Shan, Nan Li +25
Weak gravitational lensing is one of the most important probes of the nature of dark matter and dark energy. In order to extract cosmological information from next-generation weak…
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…
Forecast of cross-correlation of CSST cosmic shear tomography with AliCPT-1 CMB lensing
Zhengyi Wang, Ji Yao, Xiangkun Liu +3
We present a forecast study on the cross-correlation between cosmic shear tomography from the Chinese Survey Space Telescope (CSST) and CMB lensing from Ali CMB Polarization Telesc…
Identification of new M31 star cluster candidates from PAndAS images using convolutional neural networks
Shoucheng Wang, Bingqiu Chen, Jun Ma +7
Context.Identification of new star cluster candidates in M31 is fundamental for the study of the M31 stellar cluster system. The machine-learning method convolutional neural networ…
Anisotropies of Cosmic Optical and Near-IR Background from China Space Station Telescope (CSST)
Ye Cao, Yan Gong, Dezi Liu +3
Anisotropies of the cosmic optical background (COB) and cosmic near-IR background (CNIRB) are capable of addressing some of the key questions in cosmology and astrophysics. In this…
Lenses In VoicE (LIVE): Searching for strong gravitational lenses in the VOICE@VST survey using Convolutional Neural Networks
Fabrizio Gentile, Crescenzo Tortora, Giovanni Covone +8
We present a sample of 16 likely strong gravitational lenses identified in the VST Optical Imaging of the CDFS and ES1 fields (VOICE survey) using Convolutional Neural Networks (CN…
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…
Weak Lensing Study in VOICE Survey II: Shear Bias Calibrations
Dezi Liu, Liping Fu, Xiangkun Liu +14
The VST Optical Imaging of the CDFS and ES1 Fields (VOICE) Survey is proposed to obtain deep optical imaging of the CDFS and ES1 fields using the VLT Survey Telescope (VST).…