☆ 4.5 Article

The PCA Lens-Finder: application to CFHTLS

ASTRONOMY & ASTROPHYSICS (2016)

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ASTRONOMY & ASTROPHYSICS
Volume 592, Issue -, Pages -

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EDP SCIENCES S A
DOI: 10.1051/0004-6361/201527971

Keywords

gravitational lensing: strong; galaxies: general; surveys

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Astronomy & Astrophysics

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  1. Swiss National Science Foundation (SNSF)
  2. European Seventh Framework Programme, Ideas [259349]

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We present the results of a new search for galaxy-scale strong lensing systems in CFHTLS Wide. Our lens-finding technique involves a preselection of potential lens galaxies, applying simple cuts in size and magnitude. We then perform a Principal Component Analysis of the galaxy images, ensuring a clean removal of the light profile. Lensed features are searched for in the residual images using the clustering topometric algorithm DBSCAN. We find 1098 lens candidates that we inspect visually, leading to a cleaned sample of 109 new lens candidates. Using realistic image simulations we estimate the completeness of our sample and show that it is independent of source surface brightness, Einstein ring size (image separation) or lens redshift. We compare the properties of our sample to previous lens searches in CFHTLS. Including the present search, the total number of lenses found in CFHTLS amounts to 678, which corresponds to similar to 4 lenses per square degree down to i(AB) = 24.8. This is equivalent to similar to 60.000 lenses in total in a survey as wide as Euclid, but at the CFHTLS resolution and depth.

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Article Astronomy & Astrophysics

Euclid preparation XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration

K. Paterson, M. Schirmer, Y. Copin, J. -C. Cuillandre, W. Gillard, L. A. Gutierrez Soto, L. Guzzo, H. Hoekstra, T. Kitching, S. Paltani, W. J. Percival, M. Scodeggio, L. Stanghellini, P. N. Appleton, R. Laureijs, Y. Mellier, N. Aghanim, B. Altieri, A. Amara, N. Auricchio, M. Baldi, R. Bender, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, L. Corcione, F. Courbin, A. Da Silva, H. Degaudenzi, J. Dinis, M. Douspis, F. Dubath, X. Dupac, S. Ferriol, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, B. Garilli, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, A. Hornstrup, P. Hudelot, K. Jahnke, M. Kuemmel, A. Kiessling, M. Kilbinger, R. Kohley, B. Kubik, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, E. Medinaceli, S. Mei, M. Meneghetti, G. Meylan, M. Moresco, L. Moscardini, R. Nakajima, S. -M. Niemi, J. W. Nightingale, T. Nutma, C. Padilla, F. Pasian, K. Pedersen, G. Polenta, M. Poncet, L. A. Popa, F. Raison, A. Renzi, J. Rhodes, G. Riccio, H. -W. Rix, E. Romelli, M. Roncarelli, E. Rossetti, R. Saglia, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, J. Skottfelt, L. Stanco, P. Tallada-Crespi, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, S. Bardelli, E. Bozzo, C. Colodro-Conde, D. Di Ferdinando, M. Farina, J. Gracia-Carpio, E. Keihaenen, V. Lindholm, D. Maino, N. Mauri, V. Scottez, M. Tenti, E. Zucca, Y. Akrami, C. Baccigalupi, M. Ballardini, A. Biviano, A. S. Borlaff, C. Burigana, R. Cabanac, A. Cappi, C. S. Carvalho, S. Casas, G. Castignani, T. Castro, K. C. Chambers, A. R. Cooray, J. Coupon, H. M. Courtois, S. Davini, G. De Lucia, G. Desprez, J. A. Escartin, S. Escoffier, I. Ferrero, L. Gabarra, J. Garcia-Bellido, K. George, F. Giacomini, G. Gozaliasl, H. Hildebrandt, I. Hook, J. J. E. Kajava, V. Kansal, C. C. Kirkpatrick, L. Legrand, A. Loureiro, M. Magliocchetti, G. Mainetti, R. Maoli, S. Marcin, M. Martinelli, N. Martinet, C. J. A. P. Martins, S. Matthew, L. Maurin, R. B. Metcalf, P. Monaco, G. Morgante, S. Nadathur, L. Patrizii, J. Pollack, C. Porciani, D. Potter, M. Poentinen, A. G. Sanchez, Z. Sakr, A. Schneider, E. Sefusatti, M. Sereno, A. Shulevski, J. Stadel, J. Steinwagner, C. Valieri, J. Valiviita, A. Veropalumbo, M. Viel, I. A. Zinchenko

Summary: The Euclid mission will survey the extragalactic sky and obtain spectroscopic redshifts for 30 million galaxies using the NISP instrument. To ensure wavelength calibration accuracy, the team used emission lines from compact planetary nebulae (PNe) to recalibrate the data. They obtained high-resolution spectra from ground-based instruments and created an atlas of heliocentric vacuum wavelengths for further analysis.

ASTRONOMY & ASTROPHYSICS (2023)

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Article Astronomy & Astrophysics

PINION: physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization

Damien Korber, Michele Bianco, Emma Tolley, Jean-Paul Kneib

Summary: With the advent of SKAO, the Epoch of Reionization can be observed directly by mapping the distribution of neutral hydrogen. We introduce PINION, a Physics-Informed neural Network that accurately and swiftly predicts the 4D hydrogen fraction evolution using pre-computed N-body simulation. PINION is trained on C-2-Ray simulation outputs and can accurately predict the reionization history between z=6 and 12.

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

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Article Astronomy & Astrophysics

The impact of human expert visual inspection on the discovery of strong gravitational lenses

Karina Rojas, Thomas E. Collett, Daniel Ballard, Mark R. Magee, Simon Birrer, Elizabeth Buckley-Geer, James H. H. Chan, Benjamin Clement, Jose M. Diego, Fabrizio Gentile, Jimena Gonzalez, Remy Joseph, Jorge Mastache, Stefan Schuldt, Crescenzo Tortora, Tomas Verdugo, Aprajita Verma, Tansu Daylan, Martin Millon, Neal Jackson, Simon Dye, Alejandra Melo, Guillaume Mahler, Ricardo L. C. Ogando, Frederic Courbin, Alexander Fritz, Aniruddh Herle, Javier A. Acevedo Barroso, Raoul Canameras, Claude Cornen, Birendra Dhanasingham, Karl Glazebrook, Michael N. Martinez, Dan Ryczanowski, Elodie Savary, Filipe Gois-Silva, L. Arturo Urena-Lopez, Matthew P. Wiesner, Joshua Wilde, Gabriel Valim Calcada, Remi Cabanac, Yue Pan, Isaac Sierra, Giulia Despali, Micaele Cavalcante-Gomes, Christine Macmillan, Jacob Maresca, Aleksandra Grudskaia, Jackson H. O'Donnell, Eric Paic, Anna Niemiec, Lucia F. de la Bella, Jane Bromley, Devon M. Williams, Anupreeta More, Benjamin C. Levine

Summary: We investigated the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey-like imaging. A total of 55 participants completed more than 25% of the project and classified 1489 images, including lens simulations, real lenses, non-lens examples, and unlabelled data. Experts were good at identifying bright, well-resolved Einstein rings, but struggled with fainter arcs and smaller Einstein radii. Individual classifiers showed variation in performance, but experience, confidence, and academic position did not seem to have an impact. These variations could be mitigated with a team of 6 or more independent classifiers. The results give confidence that humans can reliably prune lens candidates, providing complete samples for follow-up studies.

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

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Article Astronomy & Astrophysics

Cosmological Fisher forecasts for next-generation spectroscopic surveys

William D. d'Assignies, Cheng Zhao, Jiaxi Yu, Jean-Paul Kneib

Summary: Next-generation spectroscopic surveys, such as MegaMapper, MUST, MSE, and WST, are expected to significantly increase the number of galaxy and quasar redshift measurements. Using a Fisher matrix analysis, we find that these surveys can achieve high precision for baryonic acoustic oscillation (BAO) and redshift-space distortion (RSD) parameters, as well as accurately measure non-Gaussianity (NG) and total neutrino mass (M-nu). By optimizing survey strategies, we show that observing large volumes is crucial for f(NL) and M-nu measurements. Increasing the number of fibers improves M-nu measurement but has little effect on f(NL).

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

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Article Astronomy & Astrophysics

SKA Science Data Challenge 2: analysis and results

P. Hartley, A. Bonaldi, R. Braun, J. N. H. S. Aditya, S. Aicardi, L. Alegre, A. Chakraborty, X. Chen, S. Choudhuri, A. O. Clarke, J. Coles, J. S. Collinson, D. Cornu, L. Darriba, M. Delli Veneri, J. Forbrich, B. Fraga, A. Galan, J. Garrido, F. Gubanov, H. Hakansson, M. J. Hardcastle, C. Heneka, D. Herranz, K. M. Hess, M. Jagannath, S. Jaiswal, R. J. Jurek, D. Korber, S. Kitaeff, D. Kleiner, B. Lao, X. Lu, A. Mazumder, J. Moldon, R. Mondal, S. Ni, M. Onnheim, M. Parra, N. Patra, A. Peel, P. Salome, S. Sanchez-Exposito, M. Sargent, B. Semelin, P. Serra, A. K. Shaw, A. X. Shen, A. Sjoberg, L. Smith, A. Soroka, V Stolyarov, E. Tolley, M. C. Toribio, J. M. van der Hulst, A. Vafaei Sadr, L. Verdes-Montenegro, T. Westmeier, K. Yu, L. Yu, L. Zhang, X. Zhang, Y. Zhang, A. Alberdi, M. Ashdown, C. R. Bom, M. Brueggen, J. Cannon, R. Chen, F. Combes, J. Conway, F. Courbin, J. Ding, G. Fourestey, J. Freundlich, L. Gao, C. Gheller, Q. Guo, E. Gustavsson, M. Jirstrand, M. G. Jones, G. Jozsa, P. Kamphuis, J-P Kneib, M. Lindqvist, B. Liu, Y. Liu, Y. Mao, A. Marchal, I Marquez, A. Meshcheryakov, M. Olberg, N. Oozeer, M. Pandey-Pommier, W. Pei, B. Peng, J. Sabater, A. Sorgho, J. L. Starck, C. Tasse, A. Wang, Y. Wang, H. Xi, X. Yang, H. Zhang, J. Zhang, M. Zhao, S. Zuo

Summary: The Square Kilometre Array Observatory (SKAO) will explore the radio sky to conduct transformational science, with large and complex data products that require advanced analysis techniques. SKAO is conducting Science Data Challenges to familiarize the scientific community with the data and drive the development of new analysis techniques. Challenge 2 saw over 100 participants develop new techniques, with the winning strategy combining predictions from two machine learning techniques to achieve a 20% improvement in overall performance.

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

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Article Astronomy & Astrophysics

The JWST PEARLS View of the El Gordo Galaxy Cluster and of the Structure It Magnifies

Brenda L. Frye, Massimo Pascale, Nicholas Foo, Reagen Leimbach, Nikhil Garuda, Paulina Soto Robles, Jake Summers, Carlos Diaz, Patrick Kamieneski, Lukas J. Furtak, Seth H. Cohen, Jose Diego, Benjamin Beauchesne, Rogier A. Windhorst, S. P. Willner, Anton M. Koekemoer, Adi Zitrin, Gabriel Caminha, Karina I. Caputi, Dan Coe, Christopher J. Conselice, Liang Dai, Herve Dole, Simon P. Driver, Norman A. Grogin, Kevin Harrington, Rolf A. Jansen, Jean-Paul Kneib, Matt Lehnert, James Lowenthal, Madeline A. Marshall, Felipe Menanteau, Belen Alcalde Pampliega, Nor Pirzkal, Mari Polletta, Johan Richard, Aaron Robotham, Russell E. Ryan, Michael J. Rutkowski, Christobal Sifon, Scott Tompkins, Daniel Wang, Haojing Yan, Min S. Yun

Summary: The massive galaxy cluster El Gordo (z = 0.87) produces multiple gravitationally lensed arcs that are captured in images taken by James Webb Space Telescope Near-Infrared Camera (NIRCam). By combining data from the Hubble Space Telescope and NIRCam, new photometric redshifts are obtained, and a lens model based on 56 image multiplicities identifies the two main mass components of the cluster. The study also discovers a new member of a previously known galaxy group at z = 4.32.

ASTROPHYSICAL JOURNAL (2023)

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Article Astronomy & Astrophysics

DESI and DECaLS (D&D): galaxy-galaxy lensing measurements with 1 per cent survey and its forecast

Ji Yao, Huanyuan Shan, Pengjie Zhang, Eric Jullo, Jean-Paul Kneib, Yu Yu, Ying Zu, David Brooks, Axel de la Macorra, Peter Doel, Andreu Font-Ribera, Satya Gontcho A. Gontcho, Theodore Kisner, Martin Landriau, Aaron Meisner, Ramon Miquel, Jundan Nie, Claire Poppett, Francisco Prada, Michael Schubnell, Mariana Vargas Magana, Zhimin Zhou

Summary: The shear measurement from DECaLS provides a great opportunity for galaxy-galaxy lensing study with DESI galaxies due to the large sky overlap. By combining DESI 1% survey and DECaLS DR8, significant detection of galaxy-galaxy lensing is achieved for BGS and LRG as lenses. This brings stronger requirements for future systematics control.

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

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Article Meteorology & Atmospheric Sciences

Teardrop and Parabolic Lens Yield Curves for Viscous-Plastic Sea Ice Models: New Constitutive Equations and Failure Angles

Damien Ringeisen, Martin Losch, L. Bruno Tremblay

Summary: Most viscous-plastic sea ice models use the elliptical yield curve, which has a flaw in excluding acute angles between deformation features. The teardrop and parabolic lens yield curves offer an attractive alternative but have issues with negative or zero bulk and shear viscosities. A corrected formulation for these yield curves has been derived, resulting in improved numerical convergence and better representation of stress and deformation fields.

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2023)

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Correction Astronomy & Astrophysics

PINION: physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization (vol 521, pg 902, 2023)

Damien Korber, Michele Bianco, Emma Tolley, Jean-Paul Kneib

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

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