Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine F -- Bright and low-redshift strong lenses
Ludwig-Maximilians-Universität München(慕尼黑大学);Max Planck Institute for Extraterrestrial Physics(马克斯·普朗克地外物理研究所);University of Portsmouth(朴茨茅斯大学);Oxford University(牛津大学)
Euclid Collaboration, L. R. Ecker, M. Fabricius, S. Seitz, R. Saglia, N. E. P. Lines, P. Holloway, T. Li, A. Verma, F. Balzer, Q. Jin, A. Manjón-García, S. H. V… 展开作者
Euclid Collaboration, L. R. Ecker, M. Fabricius, S. Seitz, R. Saglia, N. E. P. Lines, P. Holloway, T. Li, A. Verma, F. Balzer, Q. Jin, A. Manjón-García, S. H. Vincken, J. Wilde, J. A. Acevedo Barroso, J. W. Nightingale, K. Rojas, S. Schuldt, M. Walmsley, T. E. Collett, G. Despali, A. Sonnenfeld, C. Tortora, R. B. Metcalf, R. Bender, C. Saulder, E. Baeten, C. Cornen, D. Delley, K. Finner, A. Galan, R. Gavazzi, L. C. Johnson, L. Leuzzi, C. Macmillan, P. J. Marshall, M. Millon, A. More, L. A. Moustakas, J. Pearson, J. -N. Pippert, C. Scarlata, D. Sluse, C. Spiniello, T. T. Thai, L. Ulivi, Han. Wang, X. Xu, F. Courbin, M. Meneghetti, N. Aghanim, B. Altieri, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, A. Balestra, S. Bardelli, P. Battaglia, A. Biviano, E. Branchini, M. Brescia, S. Camera, G. Cañas-Herrera, V. Capobianco, C. Carbone, J. Carretero, S. Casas, M. Castellano, G. Castignani, S. Cavuoti, K. C. Chambers, A. Cimatti, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, A. Costille, H. M. Courtois, M. Cropper, A. Da Silva, H. Degaudenzi, G. De Lucia, C. Dolding, H. Dole, F. Dubath, X. Dupac, S. Dusini, A. Ealet, S. Escoffier, M. Farina, R. Farinelli, F. Faustini, S. Ferriol, F. Finelli, P. Fosalba, S. Fotopoulou, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, K. George, W. Gillard, B. Gillis, C. Giocoli, P. Gómez-Alvarez, J. Gracia-Carpio, A. Grazian, F. Grupp, L. Guzzo, S. V. H. Haugan, H. Hoekstra, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Jhabvala, B. Joachimi, E. Keihänen, S. Kermiche, A. Kiessling, B. Kubik, M. Kümmel, M. Kunz, H. Kurki-Suonio, A. M. C. Le Brun, D. Le Mignant, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, D. Maino, E. Maiorano, O. Mansutti, S. Marcin, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, R. J. Massey, E. Medinaceli, S. Mei, Y. Mellier, E. Merlin, G. Meylan, A. Mora, M. Moresco, L. Moscardini, R. Nakajima, C. Neissner, R. C. Nichol, S. -M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. Pozzetti, F. Raison, A. Renzi, J. Rhodes, G. Riccio, H. -W. Rix, E. Romelli, M. Roncarelli, E. Rossetti, Z. Sakr, A. G. Sánchez, D. Sapone, B. Sartoris, P. Schneider, T. Schrabback, A. Secroun, G. Seidel, S. Serrano, P. Simon, C. Sirignano, G. Sirri, L. Stanco, J. Steinwagner, P. Tallada-Crespí, A. N. Taylor, H. I. Teplitz, I. Tereno, N. Tessore, S. Toft, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, L. Valenziano, J. Valiviita, T. Vassallo, Y. Wang, J. Weller, A. Zacchei, G. Zamorani, F. M. Zerbi, E. Zucca, M. Ballardini, M. Bolzonella, E. Bozzo, C. Burigana, R. Cabanac, A. Cappi, T. Castro, B. Clément, J. A. Escartin Vigo, L. Gabarra, J. García-Bellido, V. Gautard, S. Hemmati, M. Huertas-Company, J. Macias-Perez, R. Maoli, J. Martín-Fleitas, M. Maturi, N. Mauri, P. Monaco, A. Pezzotta, M. Pöntinen, C. Porciani, I. Risso, V. Scottez, M. Sereno, M. Tenti, M. Tucci, M. Viel, M. Wiesmann, Y. Akrami, I. T. Andika, G. Angora, S. Anselmi, M. Archidiacono, F. Atrio-Barandela, L. Bazzanini, P. Bergamini, D. Bertacca, M. Bethermin, F. Beutler, A. Blanchard, L. Blot, M. Bonici, S. Borgani, M. L. Brown, S. Bruton, A. Calabro, B. Camacho Quevedo, F. Caro, C. S. Carvalho, Y. Charles, F. Cogato, S. Conseil, A. R. Cooray, O. Cucciati, S. Davini, F. De Paolis, G. Desprez, A. Díaz-Sánchez, S. Di Domizio, J. M. Diego, P. -A. Duc, V. Duret, M. Y. Elkhashab, A. Enia, Y. Fang, A. Finoguenov, A. Fontana, A. Franco, K. Ganga, T. Gasparetto, E. Gaztanaga, F. Giacomini, F. Gianotti, G. Gozaliasl, A. Gruppuso, M. Guidi, C. M. Gutierrez, A. Hall, H. Hildebrandt, J. Hjorth, L. K. Hunt, J. J. E. Kajava, Y. Kang, V. Kansal, D. Karagiannis, K. Kiiveri, J. Kim, C. C. Kirkpatrick, S. Kruk, M. Lattanzi, L. Legrand, F. Lepori, G. Leroy, G. F. Lesci, J. Lesgourgues, T. I. Liaudat, A. Loureiro, M. Magliocchetti, F. Mannucci, C. J. A. P. Martins, L. Maurin, M. Miluzio, C. Moretti, G. Morgante, K. Naidoo, P. Natoli, A. Navarro-Alsina, S. Nesseris, D. Paoletti, F. Passalacqua, K. Paterson, L. Patrizii, A. Pisani, D. Potter, G. W. Pratt, S. Quai, M. Radovich, G. Rodighiero, W. Roster, S. Sacquegna, M. Sahlén, D. B. Sanders, E. Sarpa, A. Schneider, D. Sciotti, E. Sellentin, L. C. Smith, J. G. Sorce, K. Tanidis, C. Tao, F. Tarsitano, G. Testera, R. Teyssier, S. Tosi, A. Troja, A. Venhola, D. Vergani, G. Vernardos, G. Verza, P. Vielzeuf, S. Vinciguerra, N. A. Walton, A. H. Wright
We present 72 additional galaxy-galaxy strong lenses that complement the sample discovered in the Euclid Quick Release 1 data (63.1 deg^2) of the Strong Lens Discovery Engine (SLDE) papers A-E. It is shown that previous pre-selection of potential lenses, which excluded objects from the Gaia catalogue, led to missing several bright and low-redshift strong lenses, adding more than 10% new strong lens candidates compared to the previous search. In total, the catalogue includes 38 "grade A" (confident) and 34 "grade B" (probable) candidates. These lenses are identified through a combination of two independent searches for bright nearby objects: one based on machine-learning models followed by expert visual inspection, and the other based solely on expert visual inspection, targeting objects not included in the initial machine-learning selection (a limitation identified only after extensive visual inspection). With these additional strong lens candidates, we augment the expected number of high-confidence candidates in the Euclid Wide Survey from previous forecasts to 120000. Detailed semi-automated lens modelling confirms at least 41 systems out of 72, a fraction consistent with that found in SLDE A (315 out of 488). These include: multiple edge-on disc lenses; sources with arcs near the lens centre; "red sources"; and an edge-on disk galaxy lensing a galaxy merger, producing two sets of lensed features, an Einstein ring and a doubly imaged component. The median redshift of these systems is $Δ$ z ~ 0.3 lower than that of the SLDE A sample.
Gravitational Lenses in UNIONS and Euclid (GLUE) I: A Search for Strong Gravitational Lenses in UNIONS with Subaru, CFHT, and Pan-STARRS Data
University of Hawai‘i(夏威夷大学);Lawrence Berkeley National Laboratory(劳伦斯伯克利国家实验室);University of San Francisco(旧金山大学);University of Hawai‘i at Mānoa(夏威夷大学马诺阿分校);University of California, Berkeley(加州大学伯克利分校);Université Paris-Saclay(巴黎萨克雷大学);Université Paris Cité(巴黎西岱大学);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(天体物理与宇宙微波背景研究所);Laboratoire d’Astrophysique de Marseille(马赛天体物理学实验室);Aix-Marseille Université(艾克斯-马赛大学);CNES(法国国家空间研究中心);Institut d’Astrophysique de Paris(巴黎天体物理学研究所);Sorbonne Université(索邦大学);National Research Council Herzberg Astronomy and Astrophysics(加拿大国家研究委员会赫茨伯格天文学与天体物理学研究所);University of Waterloo(滑铁卢大学);Waterloo Centre for Astrophysics(滑铁卢天体物理学中心);Perimeter Institute for Theoretical Physics(理论物理珀IMETER研究所);University of Hawaii(夏威夷大学);University of British Columbia(不列颠哥伦比亚大学)
Measuring the Stellar-to-Halo Mass Relation at $\sim10^{10}$ Solar masses, using forthcoming space-based imaging of galaxy-galaxy strong lenses
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);School of Physics and Astronomy, Beijing Normal University(北京师范大学物理与天文学院);School of Astronomy and Space Science, University of Chinese Academy of Sciences(中国科学院大学天文学与空间科学学院);Institute for Astrophysics, School of Physics, Zhengzhou University(郑州大学物理学院天体物理研究所);School of Mathematics, Statistics and Physics, Newcastle University(纽卡斯尔大学数学、统计与物理学院);Institute for Computational Cosmology, Department of Physics, Durham University(杜伦大学物理学院计算宇宙学研究所)
Synergies between SALT and Herschel, Euclid & the SKA: strong gravitational lensing & galaxy evolution
引力透镜在过去的几年里引起了人们极大的兴趣。由于创新的多波长选择,2000年已知的少数几个强透镜系统现在已经被数百个所取代,并且来自Herschel和其他亚毫米测量的数千个透镜的前景迫在眉睫。欧几里德和平方公里阵列承诺数万甚至数十万。引力透镜是极少数能够绘制暗物质晕分布的探测器之一。透镜还提供了独立的宇宙学参数估计,并使研究星系人口,否则太微弱的详细研究。SALT处于非常有利的位置,可以对Herschel、南极望远镜、Atacama宇宙学望远镜、Euclid和Square Kilometer Array等的前景透镜和背景源的后续观测产生巨大影响。本文回顾了高影响SALT科学的前景和星系演化的许多限制,可能导致。
Lenses In VoicE (LIVE): Searching for strong gravitational lenses in the VOICE@VST survey using Convolutional Neural Networks
我们提出了一个样本的16个可能的强引力透镜中确定的CDFS和ES 1字段(VOICE调查)的VST光学成像使用卷积神经网络(CNN)。我们训练两个不同的CNN在合成图像上,合成图像是通过将模拟的引力弧叠加在VOICE中观察到的真实发光红色星系上产生的。具体来说,第一个CNN是在单波段图像上训练的,更容易识别具有大爱因斯坦半径的系统,而第二个是在复合RGB图像上训练的,在检索具有较小爱因斯坦半径的系统时更准确。我们将这两个网络应用于VOICE调查的实际数据,利用了该深度调查的高极限震级(r波段为26.1)和低PSF FWHM(r波段为0.8”)。我们用$mag_r<21.5$分析了$\sim21,200$图像,确定了257个晶状体候选者。为了检索高置信度的样本并评估我们技术的准确性,九位作者进行了目视检查。大约75%的系统被至少一位作者归类为可能的透镜。最后,我们组装现场样本(Lenses In VoicE)组成的16个系统通过所选择的分级阈值。其中三个候选者在哈勃太空望远镜观察时显示出可能的透镜特征。这项工作进一步证实了CNN检查星系大样本寻找引力透镜的能力。这些算法对于利用欧几里德卫星和维拉鲁宾天文台即将进行的调查的全部科学潜力至关重要
Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers
Taiyuan University of Technology(太原理工大学);Peng Cheng Lab(鹏城实验室);Durham University(杜伦大学);National Astronomical Observatories(国家天文台);Central South University(中南大学)
Euclid: Quick Data Release (Q1) -- Dual AGN in low-mass galaxies
Institute of Space Sciences (ICE, CSIC)(空间科学研究所);Institut d’Estudis Espacials de Catalunya (IEEC)(加泰罗尼亚空间研究学院);INAF-Osservatorio Astronomico di Capodimonte(卡波迪蒙特天文台);Max Planck Institute for Extraterrestrial Physics(马克斯·普朗克地外物理研究所);Dipartimento di Fisica e Astronomia, Università di Firenze(佛罗伦萨大学物理与天文学系);University of Trento(特伦托大学);INAF-Osservatorio Astrofisico di Arcetri(阿切特里天文台);Instituto de Astrofísica de Canarias(加那利群岛天体物理研究所);Universidad de La Laguna(拉帕鲁纳大学);Institut de Ciencies de l’Espai (IEEC-CSIC)(空间科学学院);Roma Tre University(罗马第三大学);INAF-Osservatorio Astronomico di Roma(罗马天文台)
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)
Euclid Quick Data Release (Q1). Searching for radio-selected \Euclid-dark galaxies in the EDF-N
INAF, Istituto di Radioastronomia(意大利国家天体物理研究所射电天文研究所);INAF-Osservatorio Astronomico di Padova(意大利国家天体物理研究所帕多瓦天文台);Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova(帕多瓦大学伽利略物理与天文系);Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna(博洛尼亚大学奥古斯托·里基物理与天文系);INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna(意大利国家天体物理研究所博洛尼亚天文空间科学与天体物理观测站);CEA Saclay, DFR/IRFU, Service d’Astrophysique(法国原子能与替代能源委员会萨克雷研究中心核物理与粒子物理研究所天体物理部);SRON Netherlands Institute for Space Research(荷兰空间研究所);Kapteyn Astronomical Institute, University(卡普坦天文研究所)
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine E -- Ensemble classification of strong gravitational lenses: lessons for Data Release 1
Euclid Quick Data Release (Q1) The Strong Lensing Discovery Engine B -- Early strong lens candidates from visual inspection of high velocity dispersion galaxies
Euclid: Quick Data Release (Q1) -- Watching ICM-selected galaxy clusters with Euclid eyes -- prospects of Euclid data in the context of large SZ and X-ray based surveys
Euclid: Quick Data Release (Q1) -- LensMC shear measurement catalogue for cluster lensing science
University of Edinburgh(爱丁堡大学);INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna(博洛尼亚天文物理与空间科学研究所);INFN-Sezione di Bologna(博洛尼亚意大利国家核物理研究所分部);Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University(名古屋大学小林-益川粒子宇宙起源研究所);Institute for Advanced Research, Nagoya University(名古屋大学高等研究院);Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo(东京大学嘉利弗宇宙物理学与数学研究所);Université Paris Cité(巴黎西岱大学);Université Paris-Saclay(巴黎萨克雷大学);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(天体物理学、信息学与物质研究所);INAF-Osservatorio Astronomico di Padova(帕多瓦天文台);Universität Innsbruck(因斯布鲁克大学)
Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters
Centro de Astrobiología (CAB), CSIC-INTA(西班牙天体生物学中心);ESAC/ESA(欧洲空间应用中心/欧洲空间局);European Space Agency/ESTEC(欧洲空间局/欧洲空间研究与技术中心);Leiden Observatory, Leiden University(莱顿天文台,莱顿大学);Universiteit Gent, Department of Physics and Astronomy(根特大学物理与天文系);Dipartimento di Fisica “G. Occhialini(“G.奥卡利尼”物理学系);Università degli Studi di Milano Bicocca(米兰比可卡大学);INAF-Osservatorio Astronomico di Brera(意大利国家天体物理研究所布雷拉天文台);Dunlap Institute for Astronomy & Astrophysics, University of Toronto(多伦多大学邓普天文学与天体物理学研究所);INAF-Osservatorio Astronomico di Trieste(意大利国家天体物理研究所的里雅斯特天文台)
Euclid Quick Data Release (Q2) -- The Euclid Galactic Bulge Survey
Institut d’Astrophysique de Paris(巴黎天体物理学研究所);University of Tasmania(塔斯马尼亚大学);Université de Franche-Comté(弗朗什-孔泰大学);Sorbonne Université(索邦大学);University of Manchester(曼彻斯特大学);Louisiana State University(路易斯安那州立大学);ESAC/ESA(欧洲空间应用与技术中心/欧洲空间局)