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Related papers: The Sloan Digital Sky Survey

200 papers

Aims. The Sloan Digital Sky Survey (SDSS) offers a unique possibility of not only detecting Colour Induced Displacement (CID) double stars but also confirming these detections. Methods. Successive cuts are applied to the SDSS DR12 database…

Solar and Stellar Astrophysics · Physics 2016-06-22 D. Pourbaix , G. R. Knapp , J. E. Gunn , R. H. Lupton , Z. Ivezic , C. Siopis , M. Rigaux , A. Rubbens

We present the second report of our systematic search for strongly lensed quasars from the data of the Sloan Digital Sky Survey (SDSS). From extensive follow-up observations of 136 candidate objects, we find 36 lenses in the full sample of…

In recent decades, large-scale sky surveys such as Sloan Digital Sky Survey (SDSS) have resulted in generation of tremendous amount of data. The classification of this enormous amount of data by astronomers is time consuming. To simplify…

Instrumentation and Methods for Astrophysics · Physics 2022-11-02 Sarvesh Gharat , Yogesh Dandawate

With the Sixth Data Release of the Sloan Digital Sky Survey, the imaging of the Northern Galactic Cap is now complete. The survey contains images and parameters of roughly 287 million objects over 9583 deg^2, and 1.27 million spectra of…

Astrophysics · Physics 2019-08-13 Jennifer K. Adelman-McCarthy

Automated techniques have been developed to automate the process of classification of objects or their analysis. The large datasets provided by upcoming spectroscopic surveys with dedicated telescopes urges scientists to use these automated…

Astrophysics · Physics 2009-06-23 Mahdi Bazarghan , Ranjan Gupta

We present an 8 sigma detection of cosmic magnification measured by the variation of quasar density due to gravitational lensing by foreground large scale structure. To make this measurement we used 3800 square degrees of photometric…

The third generation of the Sloan Digital Sky Survey (SDSS-III) took data from 2008 to 2014 using the original SDSS wide-field imager, the original and an upgraded multi-object fiber-fed optical spectrograph, a new near-infrared…

Instrumentation and Methods for Astrophysics · Physics 2016-08-07 Shadab Alam , Franco D. Albareti , Carlos Allende Prieto , F. Anders , Scott F. Anderson , Brett H. Andrews , Eric Armengaud , Éric Aubourg , Stephen Bailey , Julian E. Bautista , Rachael L. Beaton , Timothy C. Beers , Chad F. Bender , Andreas A. Berlind , Florian Beutler , Vaishali Bhardwaj , Jonathan C. Bird , Dmitry Bizyaev , Cullen H. Blake , Michael R. Blanton , Michael Blomqvist , John J. Bochanski , Adam S. Bolton , Jo Bovy , A. Shelden Bradley , W. N. Brandt , D. E. Brauer , J. Brinkmann , Peter J. Brown , Joel R. Brownstein , Angela Burden , Etienne Burtin , Nicolás G. Busca , Zheng Cai , Diego Capozzi , Aurelio Carnero Rosell , Ricardo Carrera , Yen-Chi Chen , Cristina Chiappini , S. Drew Chojnowski , Chia-Hsun Chuang , Nicolas Clerc , Johan Comparat , Kevin Covey , Rupert A. C. Croft , Antonio J. Cuesta , Katia Cunha , Luiz N. da Costa , Nicola Da Rio , James R. A. Davenport , Kyle S. Dawson , Nathan De Lee , Timothée Delubac , Rohit Deshpande , Letícia Dutra-Ferreira , Tom Dwelly , Anne Ealet , Garrett L. Ebelke , Edward M. Edmondson , Daniel J. Eisenstein , Stephanie Escoffier , Massimiliano Esposito , Xiaohui Fan , Emma Fernández-Alvar , Diane Feuillet , Nurten Filiz Ak , Hayley Finley , Alexis Finoguenov , Kevin Flaherty , Scott W. Fleming , Andreu Font-Ribera , Jonathan Foster , Peter M. Frinchaboy , J. G. Galbraith-Frew , D. A. García-Hernández , Ana E. García Pérez , Patrick Gaulme , Jian Ge , R. Génova-Santos , Luan Ghezzi , Bruce A. Gillespie , Léo Girardi , Daniel Goddard , Satya Gontcho A Gontcho , Jonay I. González Hernández , Eva K. Grebel , Jan Niklas Grieb , Nolan Grieves , James E. Gunn , Hong Guo , Paul Harding , Sten Hasselquist , Suzanne L. Hawley , Michael Hayden , Fred R. Hearty , Shirley Ho , David W. Hogg , Kelly Holley-Bockelmann , Jon A. Holtzman , Klaus Honscheid , Joseph Huehnerhoff , Linhua Jiang , Jennifer A. Johnson , Karen Kinemuchi , David Kirkby , Francisco Kitaura , Mark A. Klaene , Jean-Paul Kneib , Xavier P. Koenig , Charles R. Lam , Ting-Wen Lan , Dustin Lang , Pierre Laurent , Jean-Marc Le Goff , Alexie Leauthaud , Khee-Gan Lee , Young Sun Lee , Timothy C. Licquia , Jian Liu , Daniel C. Long , Martín López-Corredoira , Diego Lorenzo-Oliveira , Sara Lucatello , Britt Lundgren , Robert H. Lupton , Claude E. Mack , Suvrath Mahadevan , Marcio A. G. Maia , Steven R. Majewski , Elena Malanushenko , Viktor Malanushenko , A. Manchado , Marc Manera , Qingqing Mao , Claudia Maraston , Robert C. Marchwinski , Daniel Margala , Sarah L. Martell , Marie Martig , Karen L. Masters , Cameron K. McBride , Peregrine M. McGehee , Ian D. McGreer , Richard G. McMahon , Brice Ménard , Marie-Luise Menzel , Andrea Merloni , Szabolcs Mészáros , Adam A. Miller , Jordi Miralda-Escudé , Hironao Miyatake , Antonio D. Montero-Dorta , Surhud More , Xan Morice-Atkinson , Heather L. Morrison , Demitri Muna , Adam D. Myers , Jeffrey A. Newman , Mark Neyrinck , Duy Cuong Nguyen , Robert C. Nichol , David L. Nidever , Pasquier Noterdaeme , Sebastián E. Nuza , Julia E. O'Connell , Robert W. O'Connell , Ross O'Connell , Ricardo L. C. Ogando , Matthew D. Olmstead , Audrey E. Oravetz , Daniel J. Oravetz , Keisuke Osumi , Russell Owen , Deborah L. Padgett , Nikhil Padmanabhan , Martin Paegert , Nathalie Palanque-Delabrouille , Kaike Pan , John K. Parejko , Changbom Park , Isabelle Pâris , Petchara Pattarakijwanich , M. Pellejero-Ibanez , Joshua Pepper , Will J. Percival , Ismael Pérez-Fournon , Ignasi Pérez-Ràfols , Patrick Petitjean , Matthew M. Pieri , Marc H. Pinsonneault , Gustavo F. Porto de Mello , Francisco Prada , Abhishek Prakash , Adrian M. Price-Whelan , M. Jordan Raddick , Mubdi Rahman , Beth A. Reid , James Rich , Hans-Walter Rix , Annie C. Robin , Constance M. Rockosi , Thaíse S. Rodrigues , Sergio Rodríguez-Rottes , Natalie A. Roe , Ashley J. Ross , Nicholas P. Ross , Graziano Rossi , John J. Ruan , J. A. Rubiño-Martín , Eli S. Rykoff , Salvador Salazar-Albornoz , Mara Salvato , Lado Samushia , Ariel G. Sánchez , Basílio Santiago , Conor Sayres , Ricardo P. Schiavon , David J. Schlegel , Sarah J. Schmidt , Donald P. Schneider , Mathias Schultheis , Axel D. Schwope , C. G. Scóccola , Kris Sellgren , Hee-Jong Seo , Neville Shane , Yue Shen , Matthew Shetrone , Yiping Shu , Thirupathi Sivarani , M. F. Skrutskie , Anže Slosar , Verne V. Smith , Flávia Sobreira , Keivan G. Stassun , Matthias Steinmetz , Michael A. Strauss , Alina Streblyanska , Molly E. C. Swanson , Jonathan C. Tan , Jamie Tayar , Ryan C. Terrien , Aniruddha R. Thakar , Daniel Thomas , Benjamin A. Thompson , Jeremy L. Tinker , Rita Tojeiro , Nicholas W. Troup , Mariana Vargas-Magaña , Jose A. Vazquez , Licia Verde , Matteo Viel , Nicole P. Vogt , David A. Wake , Ji Wang , Benjamin A. Weaver , David H. Weinberg , Benjamin J. Weiner , Martin White , John C. Wilson , John P. Wisniewski , W. M. Wood-Vasey , Christophe Yèche , Donald G. York , Nadia L. Zakamska , O. Zamora , Gail Zasowski , Idit Zehavi , Gong-Bo Zhao , Zheng Zheng , Xu Zhou , Zhimin Zhou , Guangtun Zhu , Hu Zou

Statistical weak lensing by large-scale structure -- cosmic shear -- is a promising cosmological tool, which has motivated the design of several large upcoming surveys. Here, we present a measurement of cosmic shear using coadded Sloan…

Cosmology and Nongalactic Astrophysics · Physics 2011-12-15 Eric M. Huff , Tim Eifler , Christopher M. Hirata , Rachel Mandelbaum , David Schlegel , Uros Seljak

The Sloan Digital Sky Survey has surveyed 14,555 square degrees of the sky, and delivered over a trillion pixels of imaging data. We present the large-scale clustering of 1.6 million quasars between z = 0.5 and z = 2.5 that have been…

We describe the target selection and resulting properties of a spectroscopic sample of luminous, red galaxies (LRG) from the imaging data of the Sloan Digital Sky Survey (SDSS). These galaxies are selected on the basis of color and…

I review progress in the past few years in studying the large-scale structure of the universe through redshift surveys of galaxies. Of the many statistical methods used to describe the galaxy distribution, I concentrate here on the power…

Astrophysics · Physics 2007-05-23 Michael A. Strauss

Supervised artificial neural networks are used to predict useful properties of galaxies in the Sloan Digital Sky Survey, in this instance morphological classifications, spectral types and redshifts. By giving the trained networks unseen…

Although originally conceived as primarily an extragalactic survey, the Sloan Digital Sky Survey (SDSS-I), and its extensions SDSS-II and SDSS-III, continue to have a major impact on our understanding of the formation and evolution of our…

Astrophysics of Galaxies · Physics 2015-05-14 Timothy C. Beers

The Sloan Digital Sky Survey has obtained images in five broad-band colors for several hundred square degrees. We present color-color diagrams for stellar objects, and demonstrate that quasars are easily distinguished from stars by their…

We present the discovery of eight quasars at z~6 identified in the Sloan Digital Sky Survey (SDSS) overlap regions. Individual SDSS imaging runs have some overlap with each other, leading to repeat observations over an area spanning >4000…

Astrophysics of Galaxies · Physics 2015-05-27 Linhua Jiang , Ian D. McGreer , Xiaohui Fan , Fuyan Bian , Zheng Cai , Benjamin Clement , Ran Wang , Zhou Fan

We describe DPOSS, a new digital survey of the northern sky, based on the POSS-II photographic sky atlas. The survey covers the entire sky north of delta = -3 deg in 3 bands, calibrated to the Gunn $gri$ system, reaching to equivalent…

We describe a procedure for background subtracting Sloan Digital Sky Survey (SDSS) imaging that improves the resulting detection and photometry of large galaxies on the sky. Within each SDSS drift scan run, we mask out detected sources and…

Instrumentation and Methods for Astrophysics · Physics 2015-05-28 Michael R. Blanton , Eyal Kazin , Demitri Muna , Benjamin A. Weaver , Adrian Price-Whelan