59 citations · 84 across the 22 of their papers we have counts for
25 papers
SAM3RL: Memory Control via Reinforcement Learning for Visual Object Tracking
Tomáš Čížek, Matej Straka, Illia Volkov +5
Segment Anything Model 3 (SAM 3) is a foundation model for image and video segmentation that sets the state of the art in visual object tracking. Its tracker, inherited from SAM 2,…
Mapping Dark Matter in Merging Clusters with Weak Lensing for CSST: Morphology and Filament Recovery
Xinyue Chen, Ran Li, Qiao Wang +6
Weak gravitational lensing offers a direct probe of the projected dark matter distribution in cluster-scale structures and the surrounding cosmic web. We investigate the capability…
Joint constraints on gravity and stellar orbital anisotropy in massive galaxies
Wei Du, Liping Fu, Gong-Bo Zhao +5
Strong gravitational lensing combined with stellar dynamics provides a complementary route for testing gravity on kiloparsec scales and probing the internal structure of massive ga…
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…
First Observational Evidence for Split Infall Flow of Cosmic Filaments into Clusters
Ji Yao, Huanyuan Shan, Pengjie Zhang +5
Velocity fields in the cosmic web are fundamental to structure formation but remain difficult to observe directly beyond the linear regime. Here we present observational evidence t…
AI Agent for Source Finding by SoFiA-2 for SKA-SDC2
Xingchen Zhou, Nan Li, Peng Jia +7
Source extraction is crucial in analyzing data from next-generation, large-scale sky surveys in radio bands, such as the Square Kilometre Array (SKA). Several source extraction pro…
fiDrizzle-MU: A Fast Iterative Drizzle with Multiplicative Updates
Shen Zhang, Lei Wang, Huanyuan Shan +3
We propose fiDrizzleMU, an algorithm for co-adding exposures via iterative multiplicative updates, replacing the additive correction framework. This method achieves superior anti-a…
Mock Observations for the CSST Mission: Main Surveys--An Overview of Framework and Simulation Suite
Cheng-Liang Wei, Guo-Liang Li, Yue-Dong Fang +26
The Chinese Space Station Survey Telescope (CSST) is a flagship space-based observatory. Its main survey camera is designed to conduct high spatial resolution near-ultraviolet to n…
The Shear-to-Cosmology Paradigm I. Hybrid Field-Level and Simulation-Based Framework for Weak Lensing Surveys
Jiacheng Ding, Chen Su, Ji Yao +2
Precise cosmological inference from next-generation weak lensing surveys requires extracting non-Gaussian information beyond standard two-point statistics. We present a hybrid mach…
CURLING -- II. Improvement on the Inference from Pixelized Cluster Strong Lens Modeling
Yushan Xie, Huanyuan Shan, Yiping Shu +9
Strongly lensed supernovae (glSNe) provide a powerful, independent method to measure the Hubble constant, , through time delays between their multiple images. The accuracy o…
MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope
Zhen-Ya Zheng, Chun Xu, Xiaohua Liu +37
The Multi-Channel Imager (MCI) is a powerful near-ultraviolet (NUV) and visible imager onboard the Chinese Space Station Survey Telescope (CSST). The MCI provides three imaging cha…
RedMaPPer Cluster Properties from Two-Dimensional Lensing Shear Maps in the HSC-SSP Survey
Chenxu Cui, Xiangkun Liu, Huanyuan Shan +2
Dark matter halos are fundamental cosmological structures whose properties-such as concentration, ellipticity, and mass centroid-encode information about their formation and evolut…
Introduction to the Chinese Space Station Survey Telescope (CSST)
CSST Collaboration, Yan Gong, Haitao Miao +119
The Chinese Space Station Survey Telescope (CSST) is an upcoming Stage-IV sky survey telescope, distinguished by its large field of view (FoV), high image quality, and multi-band o…
Meta-Calibration of the Cosmic Magnification Coefficient: Toward Unbiased Weak Lensing Reconstruction by Counting Galaxies
Jian Qin, Pengjie Zhang, Zhu Chen +6
Weak lensing alters galaxy sizes and fluxes, influencing the clustering patterns of galaxies through cosmic magnification. This effect enables the reconstruction of weak lensing co…
The Magnified Waltz: Simulating Light Curves of Binary Stars Passing through Micro-Caustics in Strong Lensing Galaxy Clusters
Wenwen Zheng, Xiaoting Fu, Yang Chen +5
Individual stars located near the caustics of galaxy clusters can undergo extreme magnification when crossing micro-caustics, rendering them observable even at cosmological distanc…
CSST Strong Lensing Preparation: Fast Modeling of Galaxy-Galaxy Strong Lenses in the Big Data Era
Xiaoyue Cao, Ran Li, Nan Li +4
Galaxy-galaxy strong lensing provides a powerful probe of galaxy formation, evolution, and the properties of dark matter and dark energy. However, conventional lens-modeling approa…
Weak Lensing Reconstruction by Counting Galaxies: Improvement with DES Y3 Galaxies
Jian Qin, Pengjie Zhang, Yu Yu +4
In \citep{Qin+}, we attempted to reconstruct the weak lensing convergence map from cosmic magnification by linearly weighting the DECaLS galaxy overdensities in different m…
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…
Detection Rate of Galaxy Cluster Lensed Stellar Binary Black Hole Mergers by the Third-generation Gravitational Wave Detectors
Zhiwei Chen, Yushan Xie, Youjun Lu +4
Gravitational waves (GWs) from stellar binary black hole (sBBH) mergers can be strongly gravitational lensed by intervening galaxies/galaxy clusters. Only a few works investigated…
CURLING - I. The Influence of Point-like Image Approximation on the Outcomes of Cluster Strong Lens Modeling
Yushan Xie, Huanyuan Shan, Nan Li +11
Cluster-scale strong lensing is a powerful tool for exploring the properties of dark matter and constraining cosmological models. However, due to the complex parameter space, pixel…
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…
CSST Strong Lensing Preparation: Forecasting the galaxy-galaxy strong lensing population for the China Space Station Telescope
Xiaoyue Cao, Ran Li, Nan Li +8
Galaxy-galaxy strong gravitational lensing (GGSL) is a powerful probe for the formation and evolution of galaxies and cosmology, while the sample size of GGSLs leads to considerabl…
Weak Lensing Reconstruction by Counting DECaLS Galaxies
Jian Qin, Pengjie Zhang, Haojie Xu +4
Alternative to weak lensing measurements through cosmic shear, we present a weak lensing convergence map reconstructed through cosmic magnification effect in DECaLS galaxie…
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…