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Featured researches published by Russell Owen.


The Astronomical Journal | 2006

The 2.5 m Telescope of the Sloan Digital Sky Survey

James E. Gunn; Walter A. Siegmund; Edward J. Mannery; Russell Owen; Charles L. Hull; R. French Leger; Larry N. Carey; Gillian R. Knapp; Donald G. York; William N. Boroski; Stephen M. Kent; Robert H. Lupton; Constance M. Rockosi; Michael L. Evans; Patrick Waddell; John Anderson; James Annis; John C. Barentine; Larry M. Bartoszek; Steven Bastian; Stephen B. Bracker; Howard J. Brewington; Charles Briegel; J. Brinkmann; Yorke J. Brown; Michael A. Carr; Paul C. Czarapata; Craig Drennan; Thomas W. Dombeck; Glenn R. Federwitz

We describe the design, construction, and performance of the Sloan Digital Sky Survey telescope located at Apache Point Observatory. The telescope is a modified two-corrector Ritchey-Chretien design with a 2.5 m, f/2.25 primary, a 1.08 m secondary, a Gascoigne astigmatism corrector, and one of a pair of interchangeable highly aspheric correctors near the focal plane, one for imaging and the other for spectroscopy. The final focal ratio is f/5. The telescope is instrumented by a wide-area, multiband CCD camera and a pair of fiber-fed double spectrographs. Novel features of the telescope include the following: (1) A 3° diameter (0.65 m) focal plane that has excellent image quality and small geometric distortions over a wide wavelength range (3000-10,600 A) in the imaging mode, and good image quality combined with very small lateral and longitudinal color errors in the spectroscopic mode. The unusual requirement of very low distortion is set by the demands of time-delay-and-integrate (TDI) imaging. (2) Very high precision motion to support open-loop TDI observations. (3) A unique wind baffle/enclosure construction to maximize image quality and minimize construction costs. The telescope had first light in 1998 May and began regular survey operations in 2000.


The Astrophysical Journal | 2002

Galaxy Clustering in Early Sloan Digital Sky Survey Redshift Data

Idit Zehavi; Michael R. Blanton; Joshua A. Frieman; David H. Weinberg; Hounjun J. Mo; Michael A. Strauss; Scott F. Anderson; James Annis; Neta A. Bahcall; Mariangela Bernardi; John W. Briggs; J. Brinkmann; Scott Burles; Larry N. Carey; Francisco J. Castander; Andrew J. Connolly; István Csabai; Julianne J. Dalcanton; Scott Dodelson; Mamoru Doi; Daniel J. Eisenstein; Michael L. Evans; Douglas P. Finkbeiner; Scott D. Friedman; Masataka Fukugita; James E. Gunn; Greg Hennessy; Robert B. Hindsley; Željko Ivezić; Stephen B. H. Kent

We present the first measurements of clustering in the Sloan Digital Sky Survey (SDSS) galaxy redshift survey. Our sample consists of 29,300 galaxies with redshifts 5700 km s-1 ≤ cz ≤ 39,000 km s-1, distributed in several long but narrow (25-5°) segments, covering 690 deg2. For the full, flux-limited sample, the redshift-space correlation length is approximately 8 h-1 Mpc. The two-dimensional correlation function ξ(rp,π) shows clear signatures of both the small-scale, fingers-of-God distortion caused by velocity dispersions in collapsed objects and the large-scale compression caused by coherent flows, though the latter cannot be measured with high precision in the present sample. The inferred real-space correlation function is well described by a power law, ξ(r) = (r/6.1 ± 0.2 h-1 Mpc)-1.75±0.03, for 0.1 h-1 Mpc ≤ r ≤ 16 h-1 Mpc. The galaxy pairwise velocity dispersion is σ12 ≈ 600 ± 100 km s-1 for projected separations 0.15 h-1 Mpc ≤ rp ≤ 5 h-1 Mpc. When we divide the sample by color, the red galaxies exhibit a stronger and steeper real-space correlation function and a higher pairwise velocity dispersion than do the blue galaxies. The relative behavior of subsamples defined by high/low profile concentration or high/low surface brightness is qualitatively similar to that of the red/blue subsamples. Our most striking result is a clear measurement of scale-independent luminosity bias at r 10 h-1 Mpc: subsamples with absolute magnitude ranges centered on M* - 1.5, M*, and M* + 1.5 have real-space correlation functions that are parallel power laws of slope ≈-1.8 with correlation lengths of approximately 7.4, 6.3, and 4.7 h-1 Mpc, respectively.


The Astronomical Journal | 2001

The Luminosity Function of Galaxies in SDSS Commissioning Data

Michael R. Blanton; Julianne J. Dalcanton; Daniel J. Eisenstein; Jon Loveday; Michael A. Strauss; Mark SubbaRao; David H. Weinberg; John Anderson; James Annis; Neta A. Bahcall; Mariangela Bernardi; J. Brinkmann; Robert J. Brunner; Scott Burles; Larry N. Carey; Francisco J. Castander; Andrew J. Connolly; István Csabai; Mamoru Doi; Douglas P. Finkbeiner; Scott D. Friedman; Joshua A. Frieman; Masataka Fukugita; James E. Gunn; Gregory S. Hennessy; Robert B. Hindsley; David W. Hogg; Takashi Ichikawa; Željko Ivezić; Stephen M. Kent

In the course of its commissioning observations, the Sloan Digital Sky Survey (SDSS) has produced one of the largest redshift samples of galaxies selected from CCD images. Using 11,275 galaxies complete to r* \ 17.6 over 140 deg2, we compute the luminosity function of galaxies in the r* band over a range (for h \ 1). The result is well-described by a Schechter function with parameters [23 \ M rp \ [16 h3 Mpc~3,


The Astronomical Journal | 2013

The multi-object, fiber-fed spectrographs for the Sloan Digital Sky Survey and the Baryon Oscillation Spectroscopic Survey

Stephen A. Smee; James E. Gunn; Alan Uomoto; N. A. Roe; David J. Schlegel; Constance M. Rockosi; Michael A. Carr; French Leger; Kyle S. Dawson; Matthew D. Olmstead; J. Brinkmann; Russell Owen; Robert H. Barkhouser; K. Honscheid; Paul Harding; Dan Long; Robert H. Lupton; Craig Loomis; Lauren Anderson; James Annis; Mariangela Bernardi; Vaishali Bhardwaj; Dmitry Bizyaev; Adam S. Bolton; Howard J. Brewington; John W. Briggs; Scott Burles; James G. Burns; Francisco J. Castander; Andrew J. Connolly

We present the design and performance of the multi-object fiber spectrographs for the Sloan Digital Sky Survey (SDSS) and their upgrade for the Baryon Oscillation Spectroscopic Survey (BOSS). Originally commissioned in Fall 1999 on the 2.5 m aperture Sloan Telescope at Apache Point Observatory, the spectrographs produced more than 1.5 million spectra for the SDSS and SDSS-II surveys, enabling a wide variety of Galactic and extra-galactic science including the first observation of baryon acoustic oscillations in 2005. The spectrographs were upgraded in 2009 and are currently in use for BOSS, the flagship survey of the third-generation SDSS-III project. BOSS will measure redshifts of 1.35 million massive galaxies to redshift 0.7 and Lyα absorption of 160,000 high redshift quasars over 10,000 deg2 of sky, making percent level measurements of the absolute cosmic distance scale of the universe and placing tight constraints on the equation of state of dark energy. The twin multi-object fiber spectrographs utilize a simple optical layout with reflective collimators, gratings, all-refractive cameras, and state-of-the-art CCD detectors to produce hundreds of spectra simultaneously in two channels over a bandpass covering the near-ultraviolet to the near-infrared, with a resolving power R = λ/FWHM ~ 2000. Building on proven heritage, the spectrographs were upgraded for BOSS with volume-phase holographic gratings and modern CCD detectors, improving the peak throughput by nearly a factor of two, extending the bandpass to cover 360 nm < λ < 1000 nm, and increasing the number of fibers from 640 to 1000 per exposure. In this paper we describe the original SDSS spectrograph design and the upgrades implemented for BOSS, and document the predicted and measured performances.


The Astronomical Journal | 2001

Colors of 2625 Quasars at 0 < z < 5 Measured in the Sloan Digital Sky Survey Photometric System*

Gordon T. Richards; Xiaohui Fan; Donald P. Schneider; Daniel E. Vanden Berk; Michael A. Strauss; Donald G. York; John Anderson; Scott F. Anderson; James Annis; Neta A. Bahcall; Mariangela Bernardi; John W. Briggs; J. Brinkmann; Robert J. Brunner; Scott Burles; Larry N. Carey; Francisco J. Castander; A. J. Connolly; James H. Crocker; István Csabai; Mamoru Doi; Douglas P. Finkbeiner; Scott D. Friedman; Joshua A. Frieman; Masataka Fukugita; James E. Gunn; Robert B. Hindsley; Željko Ivezić; Stephen M. Kent; Gillian R. Knapp

We present an empirical investigation of the colors of quasars in the Sloan Digital Sky Survey (SDSS) photometric system. The sample studied includes 2625 quasars with SDSS photometry: 1759 quasars found during SDSS spectroscopic commissioning and SDSS follow-up observations on other telescopes, 50 matches to FIRST quasars, 573 matches to quasars from the NASA Extragalactic Database, and 243 quasars from two or more of these sources. The quasars are distributed in a 25 wide stripe centered on the celestial equator covering ~529 deg2. Positions (accurate to 02) and SDSS magnitudes are given for the 898 quasars known prior to SDSS spectroscopic commissioning. New SDSS quasars, which range in brightness from i* = 15.39 to the photometric magnitude limit of the survey, represent an increase of over 200% in the number of known quasars in this area of the sky. The ensemble average of the observed colors of quasars in the SDSS passbands are well represented by a power-law continuum with αν = -0.5 (fν ∝ να) and are close to those predicted by previous simulations. However, the contributions of the small blue (or λ3000) bump and other strong emission lines have a significant effect upon the colors. The color-redshift relation exhibits considerable structure, which may be of use in determining photometric redshifts for quasars from their colors alone. The range of colors at a given redshift can generally be accounted for by a range in the optical spectral index with a distribution αν = -0.5 ± 0.65 (95% confidence), but there is a red tail in the distribution. This tail may be a sign of internal reddening, especially since fainter objects at a given redshift tend to exhibit redder colors than the average. Finally, we show that there is a continuum of properties between quasars and Seyfert galaxies, and we test the validity of the traditional dividing line (MB = -23) between the two classes of active galactic nuclei.


The Astronomical Journal | 2002

The Sloan Digital Sky Survey Quasar Catalog. I. Early data release

Donald P. Schneider; Gordon T. Richards; Xiaohui Fan; Patrick B. Hall; Michael A. Strauss; Daniel E. Vanden Berk; James E. Gunn; Heidi Jo Newberg; Timothy A. Reichard; Christopher Stoughton; W. Voges; Brian Yanny; Scott F. Anderson; James Annis; Neta A. Bahcall; Amanda Bauer; Mariangela Bernardi; Michael R. Blanton; William N. Boroski; J. Brinkmann; John W. Briggs; Robert J. Brunner; Scott Burles; Larry N. Carey; Francisco J. Castander; A. J. Connolly; István Csabai; Mamoru Doi; Scott D. Friedman; Joshua A. Frieman

We present the first edition of the Sloan Digital Sky Survey (SDSS) Quasar Catalog. The catalog consists of the 3814 objects (3000 discovered by the SDSS) in the initial SDSS public data release that have at least one emission line with a full width at half-maximum larger than 1000 km s-1, luminosities brighter than Mi* = -23, and highly reliable redshifts. The area covered by the catalog is 494 deg2; the majority of the objects were found in SDSS commissioning data using a multicolor selection technique. The quasar redshifts range from 0.15 to 5.03. For each object the catalog presents positions accurate to better than 02 rms per coordinate, five-band (ugriz) CCD-based photometry with typical accuracy of 0.05 mag, radio and X-ray emission properties, and information on the morphology and selection method. Calibrated spectra of all objects in the catalog, covering the wavelength region 3800–9200 A at a spectral resolution of 1800–2100, are also available. Since the quasars were selected during the commissioning period, a time when the quasar selection algorithm was undergoing frequent revisions, the sample is not homogeneous and is not intended for statistical analysis.


Publications of the Astronomical Society of Japan | 2018

The Hyper Suprime-Cam software pipeline

James Bosch; Robert Armstrong; Steven J. Bickerton; Hisanori Furusawa; Hiroyuki Ikeda; Michitaro Koike; Robert H. Lupton; Sogo Mineo; Paul A. Price; Tadafumi Takata; M. Tanaka; Naoki Yasuda; Yusra AlSayyad; Andrew Cameron Becker; William R. Coulton; Jean Coupon; Jose A. Garmilla; Song Huang; K. Simon Krughoff; Dustin Lang; Alexie Leauthaud; Kian-Tat Lim; Nate B. Lust; Lauren A. MacArthur; Rachel Mandelbaum; Hironao Miyatake; Satoshi Miyazaki; Ryoma Murata; Surhud More; Yuki Okura

In this paper, we describe the optical imaging data processing pipeline developed for the Subaru Telescopes Hyper Suprime-Cam (HSC) instrument. The HSC Pipeline builds on the prototype pipeline being developed by the Large Synoptic Survey Telescopes Data Management system, adding customizations for HSC, large-scale processing capabilities, and novel algorithms that have since been reincorporated into the LSST codebase. While designed primarily to reduce HSC Subaru Strategic Program (SSP) data, it is also the recommended pipeline for reducing general-observer HSC data. The HSC pipeline includes high level processing steps that generate coadded images and science-ready catalogs as well as low-level detrending and image characterizations.


The Astronomical Journal | 2001

The First Hour of Extragalactic Data of the Sloan Digital Sky Survey Spectroscopic Commissioning: The Coma Cluster

Francisco J. Castander; Robert C. Nichol; Aronne Merrelli; Scott Burles; Adrian Pope; Andrew J. Connolly; Alan Uomoto; James E. Gunn; John Anderson; James Annis; Neta A. Bahcall; William N. Boroski; J. Brinkmann; Larry N. Carey; James H. Crocker; István Csabai; Mamoru Doi; Joshua A. Frieman; Masataka Fukugita; Scott D. Friedman; Eric J. Hilton; Robert B. Hindsley; Željko Ivezić; Steve Kent; Donald Q. Lamb; R. French Leger; Daniel C. Long; Jon Loveday; Robert H. Lupton; H. T. MacGillivray

On 1999 May 26, one of the Sloan Digital Sky Survey (SDSS) fiber-fed spectrographs saw astronomical first light. This was followed by the first spectroscopic commissioning run during the dark period of 1999 June. We present here the first hour of extragalactic spectroscopy taken during these early commissioning stages: an observation of the Coma cluster of galaxies. Our data samples the southern part of this cluster, out to a radius of 15 (1.8 h-1 Mpc, approximately to the virial radius) and thus fully covers the NGC 4839 group. We outline in this paper the main characteristics of the SDSS spectroscopic systems and provide redshifts and spectral classifications for 196 Coma galaxies, of which 45 redshifts are new. For the 151 galaxies in common with the literature, we find excellent agreement between our redshift determinations and the published values, e.g., for the largest homogeneous sample of galaxies in common (63 galaxies observed by Colless & Dunn) we find a mean offset of 3 km s -1 and an rms scatter of only 24 km s -1. As part of our analysis, we have investigated four different spectral classification algorithms: measurements of the spectral line strengths, a principal component decomposition, a wavelet analysis and the fitting of spectral synthesis models to the data. We find that these classification schemes are in broad agreement and can provide physical insight into the evolutionary histories of our cluster galaxies. We find that a significant fraction (25%) of our observed Coma galaxies show signs of recent star formation activity and that the velocity dispersion of these active galaxies (emission-line and poststarburst galaxies) is 30% larger than the absorption-line galaxies. We also find no active galaxies within the central (projected) 200 h-1 kpc of the cluster. The spatial distribution of our Coma active galaxies is consistent with that found at higher redshift for the CNOC1 cluster survey. Beyond the core region, the fraction of bright active galaxies appears to rise slowly out to the virial radius and are randomly distributed within the cluster with no apparent correlation with the potential merger or postmerger of the NGC 4839 group. We briefly discuss possible origins of this recent galaxy star formation.


Proceedings of SPIE | 2012

Performance of the apache point observatory galactic evolution experiment (APOGEE) high-resolution near-infrared multi-object fiber spectrograph

John C. Wilson; Frederick R. Hearty; M. F. Skrutskie; S. R. Majewski; Ricardo P. Schiavon; Daniel J. Eisenstein; James E. Gunn; Jon A. Holtzman; David L. Nidever; Bruce Gillespie; David H. Weinberg; Basil Blank; C. Henderson; Stephen A. Smee; Robert H. Barkhouser; Albert Harding; Stephen C. Hope; Greg Fitzgerald; Todd M. Stolberg; Jim Arns; Matthew J. Nelson; Sophia Brunner; Adam Burton; Eric Walker; Charles R. Lam; Paul Maseman; J. Barr; French Leger; Larry N. Carey; Nicholas MacDonald

The Apache Point Observatory Galactic Evolution Experiment (APOGEE) uses a dedicated 300-fiber, narrow-band near-infrared (1.51-1.7 μm), high resolution (R~22,500) spectrograph to survey approximately 100,000 giant stars across the Milky Way. This three-year survey, in operation since late-summer 2011 as part of the Sloan Digital Sky Survey III (SDSS III), will revolutionize our understanding of the kinematical and chemical enrichment histories of all Galactic stellar populations. We present the performance of the instrument from its first year in operation. The instrument is housed in a separate building adjacent to the 2.5-m SDSS telescope and fed light via approximately 45-meter fiber runs from the telescope. The instrument design includes numerous innovations including a gang connector that allows simultaneous connection of all fibers with a single plug to a telescope cartridge that positions the fibers on the sky, numerous places in the fiber train in which focal ratio degradation had to be minimized, a large mosaic-VPH (290 mm x 475 mm elliptically-shaped recorded area), an f/1.4 six-element refractive camera featuring silicon and fused silica elements with diameters as large as 393 mm, three near-infrared detectors mounted in a 1 x 3 mosaic with sub-pixel translation capability, and all of these components housed within a custom, LN2-cooled, stainless steel vacuum cryostat with dimensions 1.4-m x 2.3-m x 1.3-m.


Publications of the Astronomical Society of the Pacific | 2007

In Pursuit of LSST Science Requirements : A Comparison of Photometry Algorithms

Andrew Cameron Becker; Nicole M. Silvestri; Russell Owen; Željko Ivezić; Robert H. Lupton

We have developed an end-to-end photometric data-processing pipeline to compare current photometric algorithms commonly used on ground-based imaging data. This test bed is exceedingly adaptable and enables us to perform many research and development tasks, including image subtraction and co-addition, object detection and measurements, the production of photometric catalogs, and the creation and stocking of database tables with time-series information. This testing has been undertaken to evaluate existing photometry algorithms for consideration by a next-generation image-processing pipeline for the Large Synoptic Survey Telescope (LSST). We outline the results of our tests for four packages: the Sloan Digital Sky Surveys Photo package, DAOPHOT and ALLFRAME, DOPHOT, and two versions of Source Extractor (SExtractor). The ability of these algorithms to perform point-source photometry, astrometry, shape measurements, and star-galaxy separation and to measure objects at low signal-to-noise ratio is quantified. We also perform a detailed crowded-field comparison of DAOPHOT and ALLFRAME, and profile the speed and memory requirements in detail for SExtractor. We find that both DAOPHOT and Photo are able to perform aperture photometry to high enough precision to meet LSSTs science requirements, and less adequately at PSF-fitting photometry. Photo performs the best at simultaneous point- and extended-source shape and brightness measurements. SExtractor is the fastest algorithm, and recent upgrades in the software yield high-quality centroid and shape measurements with little bias toward faint magnitudes. ALLFRAME yields the best photometric results in crowded fields.

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Larry N. Carey

University of Washington

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István Csabai

Eötvös Loránd University

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Scott Burles

Massachusetts Institute of Technology

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