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Strong gravitational lensing is a unique observational tool for studying the dark and luminous mass distribution both within and between galaxies. Given the presence of substructures, current strong lensing observations demand more complex…

Instrumentation and Methods for Astrophysics · Physics 2023-07-19 Luca Biggio , Georgios Vernardos , Aymeric Galan , Austin Peel

Based on the DESI Legacy Imaging Surveys released data and available spectroscopic redshifts, we identify 1.58 million clusters of galaxies by searching for the overdensity of stellar mass distribution of galaxies within redshift slices…

Cosmology and Nongalactic Astrophysics · Physics 2024-04-03 Z. L. Wen , J. L. Han

We present the results of a visual search for galaxy-scale gravitational lenses in nearly 7 square degrees of Hubble Space Telescope (HST) images. The dataset comprises the whole imaging data ever taken with the Advanced Camera for Surveys…

Cosmology and Nongalactic Astrophysics · Physics 2017-03-22 R. S. Pawase , C. Faure , F. Courbin , R. Kokotanekova , G. Meylan

The identification of strong gravitational lenses in large surveys has historically been a rather time consuming exercise. Early data from the Herschel Astrophysical Terahertz Large Area Survey (Herschel-ATLAS) demonstrate that lenses can…

Cosmology and Nongalactic Astrophysics · Physics 2012-06-22 Jo Short , Elizabeth Pearson , Peter Coles , Steve Eales

In this paper, a deep convolutional neural network architecture for galaxies classification is presented. The galaxy can be classified based on its features into main three categories Elliptical, Spiral, and Irregular. The proposed deep…

Computer Vision and Pattern Recognition · Computer Science 2017-09-08 Nour Eldeen M. Khalifa , Mohamed Hamed N. Taha , Aboul Ella Hassanien , I. M. Selim

We present the results from a new search for candidate galaxies at z ~ 8.5-11 discovered over the 850 arcmin^2 area probed by the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey (CANDELS). We use a photometric redshift…

We present a machine learning search for high-redshift ($5.0 < z < 6.5$) quasars using the combined photometric data from the DESI Imaging Legacy Surveys and the WISE survey. We explore the imputation of missing values for high-redshift…

Astrophysics of Galaxies · Physics 2024-09-05 Guangping Ye , Huanian Zhang , Qingwen Wu

We present a catalogue of 497 galaxy-galaxy strong lenses in the Euclid Quick Release 1 data (63 deg$^2$). In the initial 0.45\% of Euclid's surveys, we double the total number of known lens candidates with space-based imaging. Our…

Astrophysics of Galaxies · Physics 2025-03-20 Euclid Collaboration , M. Walmsley , P. Holloway , N. E. P. Lines , K. Rojas , T. E. Collett , A. Verma , T. Li , J. W. Nightingale , G. Despali , S. Schuldt , R. Gavazzi , A. Melo , R. B. Metcalf , I. T. Andika , L. Leuzzi , A. Manjón-García , R. Pearce-Casey , S. H. Vincken , J. Wilde , V. Busillo , C. Tortora , J. A. Acevedo Barroso , H. Dole , L. R. Ecker , J. Pearson , P. J. Marshall , A. More , T. Saifollahi , J. Gracia-Carpio , E. Baeten , C. Cornen , L. C. Johnson , C. Macmillan , S. Kruk , K. A. Remmelgas , B. Clément , H. Degaudenzi , F. Courbin , J. Bovy , S. Casas , H. Dannerbauer , J. M. Diego , K. Finner , A. Galan , C. Giocoli , N. B. Hogg , K. Jahnke , J. Katona , A. Kovács , C. De Leo , G. Mahler , M. Millon , B. C. Nagam , P. Nugent , A. Sainz de Murieta , C. M. O'Riordan , D. Sluse , A. Sonnenfeld , C. Spiniello , S. Serjeant , T. T. Thai , L. Ulivi , G. L. Walth , L. Weisenbach , M. Zumalacarregui , N. Aghanim , B. Altieri , A. Amara , S. Andreon , N. Auricchio , H. Aussel , C. Baccigalupi , M. Baldi , A. Balestra , S. Bardelli , P. Battaglia , F. Bernardeau , A. Biviano , A. Bonchi , D. Bonino , E. Branchini , M. Brescia , J. Brinchmann , S. Camera , G. Cañas-Herrera , V. Capobianco , C. Carbone , V. F. Cardone , J. Carretero , F. J. Castander , M. Castellano , G. Castignani , S. Cavuoti , K. C. Chambers , A. Cimatti , C. Colodro-Conde , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , L. Corcione , H. M. Courtois , M. Cropper , A. Da Silva , G. De Lucia , A. M. Di Giorgio , C. Dolding , F. Dubath , C. A. J. Duncan , X. Dupac , A. Ealet , S. Escoffier , M. Fabricius , M. Farina , R. Farinelli , F. Faustini , F. Finelli , S. Fotopoulou , M. Frailis , E. Franceschi , M. Fumana , S. Galeotta , K. George , W. Gillard , B. Gillis , P. Gómez-Alvarez , B. R. Granett , A. Grazian , F. Grupp , L. Guzzo , S. Gwyn , S. V. H. Haugan , H. Hoekstra , W. Holmes , I. M. Hook , F. Hormuth , A. Hornstrup , P. Hudelot , M. Jhabvala , B. Joachimi , E. Keihänen , S. Kermiche , A. Kiessling , B. Kubik , M. Kümmel , M. Kunz , H. Kurki-Suonio , O. Lahav , Q. Le Boulc'h , 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. Massey , S. Maurogordato , H. J. McCracken , E. Medinaceli , S. Mei , Y. Mellier , M. Meneghetti , 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. A. Popa , L. Pozzetti , F. Raison , R. Rebolo , A. Renzi , J. Rhodes , G. Riccio , E. Romelli , M. Roncarelli , R. Saglia , Z. Sakr , A. G. Sánchez , D. Sapone , B. Sartoris , J. A. Schewtschenko , M. Schirmer , P. Schneider , T. Schrabback , A. Secroun , G. Seidel , M. Seiffert , S. Serrano , P. Simon , C. Sirignano , G. Sirri , A. Spurio Mancini , L. Stanco , J. Steinwagner , P. Tallada-Crespí , A. N. Taylor , I. Tereno , N. Tessore , S. Toft , R. Toledo-Moreo , F. Torradeflot , I. Tutusaus , E. A. Valentijn , L. Valenziano , J. Valiviita , T. Vassallo , G. Verdoes Kleijn , A. Veropalumbo , Y. Wang , J. Weller , A. Zacchei , G. Zamorani , F. M. Zerbi , E. Zucca , V. Allevato , M. Ballardini , M. Bolzonella , E. Bozzo , C. Burigana , R. Cabanac , A. Cappi , D. Di Ferdinando , J. A. Escartin Vigo , L. Gabarra , M. Huertas-Company , J. Martín-Fleitas , S. Matthew , N. Mauri , A. Pezzotta , M. Pöntinen , C. Porciani , I. Risso , V. Scottez , M. Sereno , M. Tenti , M. Viel , M. Wiesmann , Y. Akrami , S. Anselmi , M. Archidiacono , F. Atrio-Barandela , C. Benoist , K. Benson , P. Bergamini , D. Bertacca , M. Bethermin , L. Blot , S. Borgani , M. L. Brown , S. Bruton , A. Calabro , B. Camacho Quevedo , F. Caro , C. S. Carvalho , T. Castro , Y. Charles , F. Cogato , A. R. Cooray , O. Cucciati , S. Davini , F. De Paolis , G. Desprez , A. Díaz-Sánchez , J. J. Diaz , S. Di Domizio , A. Enia , Y. Fang , A. G. Ferrari , A. Finoguenov , A. Fontana , A. Franco , K. Ganga , J. García-Bellido , T. Gasparetto , V. Gautard , E. Gaztanaga , F. Giacomini , G. Gozaliasl , M. Guidi , C. M. Gutierrez , A. Hall , W. G. Hartley , S. Hemmati , C. Hernández-Monteagudo , H. Hildebrandt , J. Hjorth , J. J. E. Kajava , Y. Kang , V. Kansal , D. Karagiannis , K. Kiiveri , C. C. Kirkpatrick , J. Le Graet , L. Legrand , M. Lembo , F. Lepori , G. Leroy , G. F. Lesci , J. Lesgourgues , T. I. Liaudat , A. Loureiro , J. Macias-Perez , G. Maggio , M. Magliocchetti , E. A. Magnier , F. Mannucci , R. Maoli , C. J. A. P. Martins , L. Maurin , M. Miluzio , P. Monaco , C. Moretti , G. Morgante , C. Murray , S. Nadathur , K. Naidoo , A. Navarro-Alsina , S. Nesseris , F. Passalacqua , K. Paterson , L. Patrizii , A. Pisani , D. Potter , S. Quai , M. Radovich , P. -F. Rocci , S. Sacquegna , M. Sahlén , D. B. Sanders , E. Sarpa , C. Scarlata , J. Schaye , A. Schneider , D. Sciotti , E. Sellentin , F. Shankar , L. C. Smith , K. Tanidis , G. Testera , R. Teyssier , S. Tosi , A. Troja , M. Tucci , C. Valieri , A. Venhola , D. Vergani , G. Vernardos , G. Verza , P. Vielzeuf , N. A. Walton , D. Scott

Since upcoming telescopes will observe thousands of strong lensing systems, creating fully-automated analysis pipelines for these images becomes increasingly important. In this work, we make a step towards that direction by developing the…

Cosmology and Nongalactic Astrophysics · Physics 2020-06-03 Marco Chianese , Adam Coogan , Paul Hofma , Sydney Otten , Christoph Weniger

Current synoptic sky surveys monitor large areas of the sky to find variable and transient astronomical sources. As the number of detections per night at a single telescope easily exceeds several thousand, current detection pipelines make…

We present a spectroscopic survey for strong galaxy-galaxy lenses. Exploiting optimal sight-lines to massive, bulge-dominated galaxies at redshifts $z \sim 0.4$ with wide-field, multifibre spectroscopy, we anticipate the detection of 10-20…

Astrophysics · Physics 2007-05-23 J. P. Willis , P. C. Hewett , S. J. Warren , G. F. Lewis

The Dark Energy Spectroscopic Instrument (DESI) will precisely constrain cosmic expansion and the growth of structure by collecting $\sim$40 million extra-galactic redshifts across $\sim$80\% of cosmic history and one third of the sky. The…

With a large, unique spectroscopic survey in the fields of 28 galaxy-scale strong gravitational lenses, we identify groups of galaxies in the 26 adequately-sampled fields. Using a group finding algorithm, we find 210 groups with at least…

We present the definitive data for the full sample of 131 strong gravitational lens candidates observed with the Advanced Camera for Surveys (ACS) aboard the Hubble Space Telescope by the Sloan Lens ACS (SLACS) Survey. All targets were…

Clusters of galaxies as gravitational lenses allow to study the stellar content and properties of high-z galaxies much fainter than the usual spectroscopic field surveys. We review the recent results obtained on the identification and study…

Astrophysics · Physics 2009-10-31 Roser Pello

Lens modeling is the key to successful and meaningful automated strong galaxy-scale gravitational lens detection. We have implemented a lens-modeling "robot" that treats every bright red galaxy (BRG) in a large imaging survey as a potential…

Most existing star-galaxy classifiers use the reduced summary information from catalogs, requiring careful feature extraction and selection. The latest advances in machine learning that use deep convolutional neural networks allow a machine…

Instrumentation and Methods for Astrophysics · Physics 2016-10-20 Edward J. Kim , Robert J. Brunner

Gravitationally lensed supernovae (SNe) are extremely rare and fade quickly; as a result, they are challenging to detect. To identify lensed SNe in large imaging datasets, current surveys primarily rely on the {\it magnification} effect of…

Instrumentation and Methods for Astrophysics · Physics 2025-12-24 Fawad Kirmani , Arjun Karki , Steve Rodney , Kyle Lackey , Varsha P. Kulkarni , John R. Rose , Justin Pierel

We investigate strong gravitational lensing in the concordance $\Lambda$CDM cosmology by carrying out ray-tracing along past light cones through the Millennium Simulation, the largest simulation of cosmic structure formation ever carried…

Astrophysics · Physics 2007-12-03 Stefan Hilbert , Simon D. M. White , Jan Hartlap , Peter Schneider