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Sadanori Okamura

Researcher at Hosei University

Publications -  323
Citations -  60854

Sadanori Okamura is an academic researcher from Hosei University. The author has contributed to research in topics: Galaxy & Redshift. The author has an hindex of 99, co-authored 323 publications receiving 58592 citations. Previous affiliations of Sadanori Okamura include University of Tokyo & Subaru.

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Journal ArticleDOI

The Sloan Digital Sky Survey: Technical summary

Donald G. York, +151 more
TL;DR: The Sloan Digital Sky Survey (SDSS) as discussed by the authors provides the data to support detailed investigations of the distribution of luminous and non-luminous matter in the universe: a photometrically and astrometrically calibrated digital imaging survey of π sr above about Galactic latitude 30° in five broad optical bands to a depth of g' ~ 23 mag.
Journal ArticleDOI

The Seventh Data Release of the Sloan Digital Sky Survey

Kevork N. Abazajian, +223 more
TL;DR: A series of improvements to the spectroscopic reductions are described, including better flat fielding and improved wavelength calibration at the blue end, better processing of objects with extremely strong narrow emission lines, and an improved determination of stellar metallicities.
Journal ArticleDOI

Sloan digital sky survey: Early data release

Chris Stoughton, +212 more
TL;DR: The Sloan Digital Sky Survey (SDSS) is an imaging and spectroscopic survey that will eventually cover approximately one-quarter of the celestial sphere and collect spectra of ≈106 galaxies, 100,000 quasars, 30,000 stars, and 30, 000 serendipity targets as discussed by the authors.
Proceedings ArticleDOI

Sloan Digital Sky Survey: Early data release

Christopher Stoughton, +191 more
Journal ArticleDOI

Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample

TL;DR: In this article, the authors describe the algorithm that selects the main sample of galaxies for spectroscopy in the Sloan Digital Sky Survey (SDSS) from the photometric data obtained by the imaging survey.