In the era of large-scale astronomical surveys, fast modeling of strong lens systems has become increasingly vital. While significant progress has been made for galaxy-scale lenses, the development of automated methods for modeling larger systems, such as groups and clusters, is not as extensive. Our study aims to extend the capabilities of the GIGA-Lens code, enhancing its efficiency in modeling multi-galaxy strong lens systems. We focus on demonstrating the potential of GPU-accelerated Bayesian inference in handling complex lensing scenarios with a high number of free parameters. We employ an improved inference approach that combines image position and pixelated data with an annealing sampling technique to obtain the posterior distribution of complex models. This method allows us to overcome the challenge of limited prior information, a high number of parameters, and memory usage. Our process is exemplified through the analysis of the compact group lens system DES J0248-3955, for which we present VLT/X-shooter spectra. We measure a redshift of $z = 0.69 \pm 0.04$ for the group, and $z = 1.2722 \pm 0.0005$ for one of the extended arcs. Our enhanced method successfully constrained a lens model with 29 free parameters and lax priors in a remarkably short time. The mass of the lens is well described by a single dark-matter halo with a velocity dispersion of $σ_v = (690 \pm 30) \, km \, s^{-1}$. The model predicts the presence of a second source at the same redshift and a third source at approximately $z \sim 2.7$. Our study demonstrates the effectiveness of our lens modeling technique for dealing with a complex system in a short time using ground-based data. This presents considerable potential within the context of large surveys such as LSST.
GIGA-Lens 2.0: Strong-Lens Modeling on Multiple GPU Nodes
University of San Francisco（旧金山大学）；Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；University of California, Berkeley（加州大学伯克利分校）；Complutense University of Madrid（马德里康普顿斯大学）
DESI Strong Lens Foundry V: A Sample of HST-Observed Strong Lenses Modeled with GIGA-Lens
University of San Francisco（旧金山大学）；Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；Complutense University of Madrid（马德里康普顿斯大学）；University of California, Berkeley（加州大学伯克利分校）；Pontificia Universidad Católica de Chile（智利天主教 Pontificia 大学）；University of Chicago（芝加哥大学）；Gemini Observatory / NSF's NOIRLab（吉米天文台 / NSF的NOIRLab）；National Taiwan University（台湾大学）；Harvard University（哈佛大学）；University of Hawai'i（夏威夷大学）
A Novel Lensed Point Source Modeling Pipeline using GIGA-Lens with Application to SN Zwicky and SN iPTF16geu
Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；Complutense University of Madrid（马德里康普顿斯大学）；University of San Francisco（旧金山大学）；University of California, Los Angeles（加州大学洛杉矶分校）；Institute for Astronomy, University of Hawaii（夏威夷大学天体物理研究所）；National Taiwan University（台湾大学）
The Carousel Lens II: Cosmological Constraints with GIGA-Lens
Pontificia Universidad Católica de Chile（智利天主教 Pontificia 大学）；University of Oxford（牛津大学）；University of San Francisco（旧金山大学）；Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；University of California, Los Angeles（加州大学洛杉矶分校）；University of California, Santa Cruz（加州大学圣克鲁兹分校）；University of California, Berkeley（加州大学伯克利分校）；University of Chicago（芝加哥大学）；Complutense University of Madrid（马德里康普顿斯大学）
The Carousel Lens: A Well-Modeled Strong Lens with Multiple Lensed Sources
University of California, Los Angeles（加州大学洛杉矶分校）；Gemini Observatory / NSF’s NOIRLab（吉米天文台/美国国家光学红外天文实验室）；University of San Francisco（旧金山大学）；Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；Swinburne University of Technology（斯威本科技大学）；ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D)（ARC三维全天体物理学卓越中心）；University of Hawaii（夏威夷大学）；University of Chicago（芝加哥大学）
TDCOSMO: XX. WFI2033--4723, the First Quadruply-Imaged Quasar Modeled with JWST Imaging
Department of Physics and Astronomy, UCLA（加州大学洛杉矶分校物理与天文系）；Department of Physics and Astronomy, Stony Brook University（纽约州立大学石溪分校物理与天文系）；Department of Astronomy and Astrophysics, University of Chicago（芝加哥大学天文与天体物理系）；Kavli Institute for Cosmological Physics, University of Chicago（芝加哥大学卡弗里宇宙物理学研究所）；Center for Astronomy, Space Science and Astrophysics, Independent University, Bangladesh（孟加拉国独立大学天文学、空间科学与天体物理中心）；Research Center for the Early Universe, Graduate School of Science, The University of Tokyo（东京大学理学研究科早期宇宙研究中心）；IPAC, California Institute of Technology（加州理工学院红外处理分析中心）；Space Telescope Science Institute（太空望远镜科学研究所）
Comparison of Strong Gravitational Lens Model Software III. Direct and indirect semi-independent lens model comparisons of COSMOS J095930+023427, SDSS J1320+1644, SDSSJ1430+4105 and J1000+0021
TDCOSMO XXVI: Uniform lens modeling of eight doubly imaged quasars
Stony Brook University（石溪大学）；University of Chicago（芝加哥大学）；Independent University, Bangladesh（孟加拉独立大学）；Stockholm University（斯德哥尔摩大学）；ETH Zurich（苏黎世联邦理工学院）；Université de Genève（日内瓦大学）；Universidad de Valparaíso（瓦尔帕莱索大学）；University of Liège（列日大学）；Universitat de Barcelona（巴塞罗那大学）；Institut Català de Recerca i Estudis Avançats (ICREA)（加泰罗尼亚高级研究所）；Institut dEstudis Espacials de Catalunya (IEEC)（加泰罗尼亚空间研究研究所）
The Carousel Lens I: A Spectroscopic Survey of the Carousel Lens Field
University of California, Santa Cruz（加州大学圣克鲁兹分校）；Santa Cruz Institute for Particle Physics（圣克鲁兹粒子物理研究所）；University of California, Los Angeles（加州大学洛杉矶分校）
Strong LensIng and Cluster Evolution (SLICE) with JWST: Early Results, Lens Models, and High-Redshift Detections
University of Michigan（密歇根大学）；STAR Institute, Quartier Agora - Allée du six Août, 19c B-4000 Liège, Belgium（列日 STAR 研究所）；Durham University（杜伦大学）；Institute for Computational Cosmology, Durham University（杜伦大学计算宇宙学研究所）；Astrophysics Research Centre, University of KwaZulu-Natal（夸祖鲁-纳塔尔大学天体物理研究中心）；School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal（夸祖鲁-纳塔尔大学数学、统计与计算机科学学院）；Department of Astronomy, University of Washington（华盛顿大学天文学系）；Ecole Polytechnique Fédérale de Lausanne (EPFL)（洛桑联邦理工学院）；Instituto de Física de Cantabria (CSIC-UC)（坎塔布里亚物理研究所）
