Strongly lensed explosive transients such as supernovae, gamma-ray bursts, fast radio bursts, and gravitational waves are very promising tools to determine the Hubble constant ($H_0$) in the near future in addition to strongly lensed quasars. In this work, we show that the transient nature of the point source provides an advantage over quasars: the lensed host galaxy can be observed before or after the transient's appearance. Therefore, the lens model can be derived from images free of contamination from bright point sources. We quantify this advantage by comparing the precision of a lens model obtained from the same lenses with and without point sources. Based on Hubble Space Telescope (HST) Wide Field Camera 3 (WFC3) observations with the same sets of lensing parameters, we simulate realistic mock datasets of 48 quasar lensing systems (i.e., adding AGN in the galaxy center) and 48 galaxy-galaxy lensing systems (assuming the transient source is not visible but the time delay and image positions have been or will be measured). We then model the images and compare the inferences of the lens model parameters and $H_0$. We find that the precision of the lens models (in terms of the deflector mass slope) is better by a factor of 4.1 for the sample without lensed point sources, resulting in an increase of $H_0$ precision by a factor of 2.9. The opportunity to observe the lens systems without the transient point sources provides an additional advantage for time-delay cosmography over lensed quasars. It facilitates the determination of higher signal-to-noise stellar kinematics of the main deflector, and thus its mass density profile, which in turn plays a key role in breaking the mass-sheet degeneracy and constraining $H_0$.
Lensed stars in galaxy-galaxy strong lensing -- a JWST prediction for the Cosmic Horseshoe
The University of Hong Kong(香港大学);University of Portsmouth(朴茨茅斯大学);Instituto de Física de Cantabria (CSIC-UC)(坎塔布里亚物理研究所(CSIC-UC));University of Basque Country UPV/EHU(巴斯克大学);Ikerbasque, Basque Foundation for Science(伊克尔巴斯基,巴斯克科学基金会);Donostia International Physics Center(圣塞巴斯蒂安国际物理中心);University of Minnesota(明尼苏达大学);Universidade Federal do Rio Grande do Sul(南里奥格兰德联邦大学)
Modelling the impact of intrinsic size and luminosity correlations on magnification estimation
观测到的星系大小和光度的空间相关性,可以用来估计通过弱引力透镜产生的放大率。然而,星系的内禀性质可以通过局部物理效应类似地关联起来,这可能会对弱透镜效应的估计产生影响。在早期的论文(Ciarlariello et al. 2015)中,我们使用晕模型对内在尺寸相关性进行了建模,假设星系尺寸反映了相关晕中的质量。在这里,我们将这项工作扩展到考虑星系的大小,并表明这些可能比星系大小更受内在相关性的影响,使其成为测量弱透镜信号的更大系统。我们还量化了这些内在的相关性是如何影响的样本选择标准的大小和幅度的基础上。
Retrospective Search for Strongly Lensed Supernovae in the DESI Legacy Imaging Surveys
University of California, Los Angeles(加州大学洛杉矶分校);Lawrence Berkeley National Laboratory(劳伦斯伯克利国家实验室);University of San Francisco(旧金山大学);Gemini Observatory / NSF’s NOIRLab(吉米天文台/美国国家光学红外天文实验室);Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo(东京大学宇宙物理数学研究所);University of Hawaii(夏威夷大学)
本文开发了针对强引力透镜系统的瞬变源搜索流水线,应用于 DESI Legacy 巡天数据,发现七个新的透镜超新星候选体,其中一个极可能是 Ia 型,有助于宇宙学参数约束。
A Salpeter IMF and an NFW halo: Disentangling the dark and stellar mass of an elliptical galaxy through precise lens modelling of a double-source-plane system
University of Portsmouth(朴茨茅斯大学);The University of Sydney(悉尼大学)
Transient star B/R ratio and star formation in $z\gtrsim 1$ lensed galaxies
The University of Hong Kong(香港大学);Instituto de Física de Cantabria (CSIC-UC)(坎塔布里亚物理研究所);University of Minnesota(明尼苏达大学);Ben-Gurion University of the Negev(内盖夫本古里安大学);University of Basque Country UPV/EHU(巴斯克地区大学);Ikerbasque, Basque Foundation for Science(伊克尔巴斯科,巴斯克科学基金会);Donostia International Physics Center(圣塞巴斯蒂安国际物理中心)
Probing Dark Matter Substructures with Free-Form Modelling: A Case Study of the `Jackpot' Strong Lens
Zhengzhou University(郑州大学);School of Astronomy and Space Science, University of Chinese Academy of Sciences(中国科学院大学天文与空间科学学院);National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);Beijing Normal University(北京师范大学);Newcastle University(纽卡斯尔大学);Durham University(杜伦大学)
Follow-up of SN 2025wny V: Lens Modelling and Cosmography of a Strongly Lensed Superluminous Supernova at $z = 2.015$ using Space Data
Stockholm University(斯德哥尔摩大学);University of Birmingham(伯明翰大学);University of California, Berkeley(加州大学伯克利分校);Lawrence Berkeley National Laboratory(劳伦斯伯克利国家实验室);University of Portsmouth(朴茨茅斯大学);University of Cambridge(剑桥大学)
Euclid Quick Data Release (Q1). LEMON -- Lens Modelling with Neural networks. Automated and fast modelling of Euclid gravitational lenses with a singular isothermal ellipsoid mass profile
INAF-Osservatorio Astronomico di Capodimonte(卡波迪蒙特天文台);University Federico II(费德里科二世大学);INFN section of Naples(那不勒斯INFN分部);Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna(博洛尼亚大学阿尔特玛·玛特尔学院物理与天文学系);INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna(博洛尼亚空间天体物理学与科学观测台);INFN-Sezione di Bologna(博洛尼亚INFN分部);CEA Saclay, DFR/IRFU, Service d’Astrophysique(萨克雷CEA研究所天体物理服务中心);Università di Bologna(博洛尼亚大学);Newcastle University(纽卡斯尔大学);Aix-Marseille Université(艾克斯-马赛大学)
Degeneracies and modelling choices in double-plane time-delay cosmography
Laboratoire Univers et Particules de Montpellier (LUPM), CNRS & Université de Montpellier(蒙彼利埃宇宙与粒子实验室(LUPM),法国国家科学研究中心与蒙彼利埃大学);Université de Genève(日内瓦大学);Institute for Particle Physics and Astrophysics, ETH Zurich(苏黎世联邦理工学院粒子物理与天体物理研究所)
Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies
CEA(法国原子能和替代能源委员会);CNRS(法国国家科学研究中心);AIM(天体物理与宇宙学研究所);University College London (UCL)(伦敦大学学院);Mullard Space Science Laboratory(穆拉德空间科学实验室);Institute of Astrophysics(天体物理研究所)
MIFAL: fully automated Multiple-Image Finder ALgorithm for strong-lens modelling -- proof of concept
我们概述了一个简单的程序设计的\emph{automatically}寻找强透镜(SL)集群中的多个图像集。我们表明,通过结合(a)一个弧发现(或源提取)程序,(b)光度红移测量,和(c)一个初步的光迹质量透镜模型,多图像系统可以识别在一个完全自动化的(“盲”)的方式。所提出的程序产生的可能性,每个弧属于多图像系统之一,以及不同的系统的首选红移的评估。然后,这些可以用于自动约束和细化初始晶状体模型,以获得准确的质量分布。我们应用这个程序的\emph{Cluster Lensing And Supernova with Hubble}观测三个星系团,MACS J0329.6-0211,MACS J1720.2+3536,和MACS J1931.8-2635,比较结果发表的SL分析,多个图像进行了验证眼睛在特定的基础上。在第一个集群中,所有最初识别的系统都通过自动化程序恢复,在第二个和第三个集群中,大约有一半被恢复。其他已知的系统没有被选中,部分原因是参数的粗略选择,模糊的光度红移,或初始透镜模型的不准确。在恢复的真实系统之上,该过程还错误地识别了一些虚假图像,这取决于所使用的阈值。虽然进一步改进的程序和更彻底的审查其性能是必要的,工作构成了另一个重要的一步,完全自动化SL分析研究大集群样本的质量分布。
A new step forward in realistic cluster lens mass modelling: Analysis of Hubble Frontier Field Cluster Abell S1063 from joint lensing, X-ray and galaxy kinematics data