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Related papers: Photometric Redshifts for the SDSS Early Data Rele…

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We present photometric redshifts and associated probability distributions for all detected sources in the Extended Chandra Deep Field South (ECDFS). The work makes use of the most up-to-date data from the Cosmic Assembly Near-IR Deep Legacy…

Photometric redshifts play an important role as a measure of distance for various cosmological topics. Spectroscopic redshifts are only available for a very limited number of objects but can be used for creating statistical models. A broad…

Instrumentation and Methods for Astrophysics · Physics 2016-08-30 Kai Lars Polsterer , Antonio D'Isanto , Fabian Gieseke

We seek to improve the accuracy of joint galaxy photometric redshift estimation and spectral energy distribution (SED) fitting. By simulating different sources of uncorrected systematic errors, we demonstrate that if the uncertainties on…

Instrumentation and Methods for Astrophysics · Physics 2015-06-24 Viviana Acquaviva , Anand Raichoor , Eric Gawiser

This paper describes the Fifth Data Release (DR5) of the Sloan Digital Sky Survey (SDSS). DR5 includes all survey quality data taken through June 2005 and represents the completion of the SDSS-I project (whose successor, SDSS-II will…

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

Data-driven approaches play a crucial role in space computing, and our paper focuses on analyzing data to learn more about celestial objects. Photometric redshift, a measure of the shift of light towards the red part of the spectrum, helps…

Instrumentation and Methods for Astrophysics · Physics 2024-11-22 Krishna Chunduri , Mithun Mahesh

With a recently constructed composite quasar spectrum and the \chi^2 minimization technique, we demonstrated a general method to estimate the photometric redshifts of a large sample of quasars by deriving the theoretical color-redshift…

Astrophysics · Physics 2014-10-13 Xue-Bing Wu , Wei Zhang , Xu Zhou

We present a neural network based approach to the determination of photometric redshift. The method was tested on the Sloan Digital Sky Survey Early Data Release (SDSS-EDR) reaching an accuracy comparable and, in some cases, better than SED…

We present a catalogue of galaxy photometric redshifts for the Sloan Digital Sky Survey (SDSS) Data Release 12. We use various supervised learning algorithms to calculate redshifts using photometric attributes on a spectroscopic training…

Instrumentation and Methods for Astrophysics · Physics 2019-04-23 Kenny Chong , Abel Yang

The Sloan Digital Sky Survey has validated and made publicly available its First Data Release. This consists of 2099 square degrees of five-band (u, g, r, i, z) imaging data, 186,240 spectra of galaxies, quasars, stars and calibrating blank…

Astrophysics · Physics 2012-07-27 The SDSS collaboration , Kevork Abazajian

We developed a Deep Convolutional Neural Network (CNN), used as a classifier, to estimate photometric redshifts and associated probability distribution functions (PDF) for galaxies in the Main Galaxy Sample of the Sloan Digital Sky Survey…

Instrumentation and Methods for Astrophysics · Physics 2018-12-26 Johanna Pasquet , Emmanuel Bertin , Marie Treyer , Stéphane Arnouts , Dominique Fouchez

The Sloan Digital Sky Survey (SDSS) started a new phase in August 2008, with new instrumentation and new surveys focused on Galactic structure and chemical evolution, measurements of the baryon oscillation feature in the clustering of…

Instrumentation and Methods for Astrophysics · Physics 2015-05-27 III collaboration , Hiroaki Aihara , Carlos Allende Prieto , Deokkeun An , Scott F. Anderson , Éric Aubourg , Eduardo Balbinot , Timothy C. Beers , Andreas A. Berlind , Steven J. Bickerton , Dmitry Bizyaev , Michael R. Blanton , John J. Bochanski , Adam S. Bolton , Jo Bovy , W. N. Brandt , J. Brinkmann , Peter J. Brown , Joel R. Brownstein , Nicolas G. Busca , Heather Campbell , Michael A. Carr , Yanmei Chen , Cristina Chiappini , Johan Comparat , Natalia Connolly , Marina Cortes , Rupert A. C. Croft , Antonio J. Cuesta , Luiz N. da Costa , James R. A. Davenport , Kyle Dawson , Saurav Dhital , Anne Ealet , Garrett L. Ebelke , Edward M. Edmondson , Daniel J. Eisenstein , Stephanie Escoffier , Massimiliano Esposito , Michael L. Evans , Xiaohui Fan , Bruno Femení a Castellá , Andreu Font-Ribera , Peter M. Frinchaboy , Jian Ge , Bruce A. Gillespie , G. Gilmore , Jonay I. González Hernández , J. Richard Gott , Andrew Gould , Eva K. Grebel , James E. Gunn , Jean-Christophe Hamilton , Paul Harding , David W. Harris , Suzanne L. Hawley , Frederick R. Hearty , Shirley Ho , David W. Hogg , Jon A. Holtzman , Klaus Honscheid , Naohisa Inada , Inese I. Ivans , Linhua Jiang , Jennifer A. Johnson , Cathy Jordan , Wendell P. Jordan , Eyal A. Kazin , David Kirkby , Mark A. Klaene , G. R. Knapp , Jean-Paul Kneib , C. S. Kochanek , Lars Koesterke , Juna A. Kollmeier , Richard G. Kron , Hubert Lampeitl , Dustin Lang , Jean-Marc Le Goff , Young Sun Lee , Yen-Ting Lin , Daniel C. Long , Craig P. Loomis , Sara Lucatello , Britt Lundgren , Robert H. Lupton , Zhibo Ma , Nicholas MacDonald , Suvrath Mahadevan , Marcio A. G. Maia , Martin Makler , Elena Malanushenko , Viktor Malanushenko , Rachel Mandelbaum , Claudia Maraston , Daniel Margala , Karen L. Masters , Cameron K. McBride , Peregrine M. McGehee , Ian D. McGreer , Brice Ménard , Jordi Miralda-Escudé , Heather L. Morrison , F. Mullally , Demitri Muna , Jeffrey A. Munn , Hitoshi Murayama , Adam D. Myers , Tracy Naugle , Angelo Fausti Neto , Duy Cuong Nguyen , Robert C. Nichol , Robert W. O'Connell , Ricardo L. C. Ogando , Matthew D. Olmstead , Daniel J. Oravetz , Nikhil Padmanabhan , Nathalie Palanque-Delabrouille , Kaike Pan , Parul Pandey , Isabelle Pâris , Will J. Percival , Patrick Petitjean , Robert Pfaffenberger , Janine Pforr , Stefanie Phleps , Christophe Pichon , Matthew M. Pieri , Francisco Prada , Adrian M. Price-Whelan , M. Jordan Raddick , Beatriz H. F. Ramos , Céline Reylé , James Rich , Gordon T. Richards , Hans-Walter Rix , Annie C. Robin , Helio J. Rocha-Pinto , Constance M. Rockosi , Natalie A. Roe , Emmanuel Rollinde , Ashley J. Ross , Nicholas P. Ross , Bruno M. Rossetto , Ariel G. Sánchez , Conor Sayres , David J. Schlegel , Katharine J. Schlesinger , Sarah J. Schmidt , Donald P. Schneider , Erin Sheldon , Yiping Shu , Jennifer Simmerer , Audrey E. Simmons , Thirupathi Sivarani , Stephanie A. Snedden , Jennifer S. Sobeck , Matthias Steinmetz , Michael A. Strauss , Alexander S. Szalay , Masayuki Tanaka , Aniruddha R. Thakar , Daniel Thomas , Jeremy L. Tinker , Benjamin M. Tofflemire , Rita Tojeiro , Christy A. Tremonti , Jan Vandenberg , M. Vargas Magaña , Licia Verde , Nicole P. Vogt , David A. Wake , Ji Wang , Benjamin A. Weaver , David H. Weinberg , Martin White , Simon D. M. White , Brian Yanny , Naoki Yasuda , Christophe Yeche , Idit Zehavi

In this paper we describe a detailed analysis of the photometric uncertainties present within the Sloan Digital Sky Survey (SDSS) imaging survey based on repeat observations of approximately 200 square degrees of the sky. We show that, for…

A new method is developed for estimating photometric redshifts to galaxies, using realistic template SEDs, extending over four decades in wavelength (i.e. from 0.05 micron to 1 mm). The template SEDs are constructed for four different…

Astrophysics · Physics 2007-05-23 Bahram Mobasher , Paola Mazzei

Based on the ultraviolet to far-infrared photometry already compiled and presented in a companion paper (Barro et al. 2011a, Paper I), we present a detailed SED analysis of nearly 80,000 IRAC 3.6+4.5 micron selected galaxies in the Extended…

We report the first analytical expression purely constructed by a machine to determine photometric redshifts ($z_{\rm phot}$) of galaxies. A simple and reliable functional form is derived using $41,214$ galaxies from the Sloan Digital Sky…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-16 A. Krone-Martins , E. E. O. Ishida , R. S. de Souza

We present a study of photometric redshift accuracy in the 3D-HST photometric catalogs, using 3D-HST grism redshifts to quantify and dissect trends in redshift accuracy for galaxies brighter than $H_{F140W}<24$ with an unprecedented and…

The need to analyze the available large synoptic multi-band surveys drives the development of new data-analysis methods. Photometric redshift estimation is one field of application where such new methods improved the results, substantially.…

Instrumentation and Methods for Astrophysics · Physics 2018-01-31 Antonio D'Isanto , Kai Lars Polsterer

We study the photometric properties of stars in the data archive of the Sloan Digital Sky Survey (SDSS), the prime aim being to understand the photometric calibration over the entire data set. It is confirmed that the photometric…

Solar and Stellar Astrophysics · Physics 2015-05-19 Masataka Fukugita , Naoki Yasuda , Mamoru Doi , James E. Gunn , Donald G. York

Knowing the redshift of galaxies is one of the first requirements of many cosmological experiments, and as it's impossible to perform spectroscopy for every galaxy being observed, photometric redshift (photo-z) estimations are still of…

Instrumentation and Methods for Astrophysics · Physics 2022-03-09 Ben Henghes , Connor Pettitt , Jeyan Thiyagalingam , Tony Hey , Ofer Lahav

The 6dF Galaxy Survey is measuring around 150000 redshifts and 15000 peculiar velocities from galaxies over the southern sky at |b|>10 degrees. When complete, it will be the largest survey of its kind by more than an order of magnitude.…

Astrophysics · Physics 2009-11-11 D. Heath Jones , Will Saunders , Mike Read , Matthew Colless