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Institution

Computer Sciences Corporation

About: Computer Sciences Corporation is a based out in . It is known for research contribution in the topics: Spacecraft & Software development. The organization has 1916 authors who have published 2389 publications receiving 62729 citations. The organization is also known as: CSC.


Papers
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Journal ArticleDOI
TL;DR: 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 high-resolution spectrogram, and a novel optical interferometer.
Abstract: 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 high-resolution spectrograph, and a novel optical interferometer. All the data from SDSS-III are now made public. In particular, this paper describes Data Release 11 (DR11) including all data acquired through 2013 July, and Data Release 12 (DR12) adding data acquired through 2014 July (including all data included in previous data releases), marking the end of SDSS-III observing. Relative to our previous public release (DR10), DR12 adds one million new spectra of galaxies and quasars from the Baryon Oscillation Spectroscopic Survey (BOSS) over an additional 3000 sq. deg of sky, more than triples the number of H-band spectra of stars as part of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE), and includes repeated accurate radial velocity measurements of 5500 stars from the Multi-Object APO Radial Velocity Exoplanet Large-area Survey (MARVELS). The APOGEE outputs now include measured abundances of 15 different elements for each star. In total, SDSS-III added 2350 sq. deg of ugriz imaging; 155,520 spectra of 138,099 stars as part of the Sloan Exploration of Galactic Understanding and Evolution 2 (SEGUE-2) survey; 2,497,484 BOSS spectra of 1,372,737 galaxies, 294,512 quasars, and 247,216 stars over 9376 sq. deg; 618,080 APOGEE spectra of 156,593 stars; and 197,040 MARVELS spectra of 5,513 stars. Since its first light in 1998, SDSS has imaged over 1/3 of the Celestial sphere in five bands and obtained over five million astronomical spectra.

2,471 citations

Journal ArticleDOI
TL;DR: In this article, a method is described for rapidly computing the amount of solar energy absorbed at the earth's surface and in the atmosphere as a function of altitude, which is a parametric treatment, but the form of the solution and coefficients involved are based on accurate multiple-scattering computations.
Abstract: A method is described for rapidly computing the amount of solar energy absorbed at the earth's surface and in the atmosphere as a function of altitude. The method is a parametric treatment, but the form of the solution and the coefficients involved are based on accurate multiple-scattering computations. In this treatment the absorption varies with the amount and type of clouds, the humidity, the zenith angle of the sun, and the albedo of the earth's surface. Within the stratosphere the absorption also depends on the vertical distribution of ozone. This parameterization for solar radiation is being used in current versions of the global atmospheric circulation model developed at the Goddard Institute for Space Studies.

1,482 citations

Journal ArticleDOI
TL;DR: Two computationally efficient algorithms are presented for determining three-axis attitude from two or more vector observations that are useful to the mission analyst or spacecraft engineer for the evaluation of launch-window constraints or of attitude accuracies for different attitude sensor configurations.
Abstract: Two computationally efficient algorithms are presented for determining three-axis attitude from two or more vector observations. The first of these, the TRIAD algorithm, provides a deterministic (i.e., nonoptimal) solution for the attitude based on two vector observations. The second, the QUEST algorithm, is an optimal algorithm which determines the attitude that achieves the best weighted overlap of an arbitrary number of reference and observation vectors. Analytical expressions are given for the covariance matrices for the two algorithms using a fairly realistic model for the measurement errors. The mathematical relationship of the two algorithms and their relative merits are discussed and numerical examples are given. The advantage of computing the covariance matrix in the body frame rather than in the inertial frame (e.g., in terms of Euler angles) is emphasized. These results are valuable when a single-frame attitude must be computed frequently. They will also be useful to the mission analyst or spacecraft engineer for the evaluation of launch-window constraints or of attitude accuracies for different attitude sensor configurations.

1,394 citations

Journal ArticleDOI
TL;DR: In this article, ultraviolet observations of nearby galaxies with the ANS were used to derive ultraviolet spectra for different galaxy types, and these spectra were used with existing visible spectrophotometry to calculate K-corrections, and to predict colors and magnitudes for various galaxy types as a function of redshifts, to z = 2.
Abstract: Ultraviolet observations of nearby galaxies with the ANS are used to derive ultraviolet spectra for different galaxy types. These spectra are used with existing visible spectrophotometry to calculate K-corrections, and to predict colors and magnitudes for various galaxy types as a function of redshifts, to z = 2. No evolutionary effects are considered. It appears that the first-ranked cluster galaxies on blue emulsions should be spirals for z greater than or approximately equal to 0.5.

1,301 citations

Journal ArticleDOI
Steven R. Majewski1, Ricardo P. Schiavon2, Peter M. Frinchaboy3, Carlos Allende Prieto4, Carlos Allende Prieto5, Robert H. Barkhouser6, Dmitry Bizyaev7, Dmitry Bizyaev8, Basil Blank, Sophia Brunner1, Adam Burton1, Ricardo Carrera4, Ricardo Carrera5, S. Drew Chojnowski1, S. Drew Chojnowski8, Katia Cunha9, Courtney R. Epstein10, Greg Fitzgerald, Ana E. García Pérez1, Ana E. García Pérez5, Fred Hearty1, Fred Hearty11, Chuck Henderson, Jon A. Holtzman8, Jennifer A. Johnson10, Charles R. Lam1, James E. Lawler12, Paul Maseman9, Szabolcs Mészáros4, Szabolcs Mészáros5, Szabolcs Mészáros13, Matthew J. Nelson1, Duy Coung Nguyen14, David L. Nidever1, David L. Nidever15, Marc H. Pinsonneault10, Matthew Shetrone16, Stephen A. Smee6, Verne V. Smith9, T. Stolberg, Michael F. Skrutskie1, E. Walker1, John C. Wilson1, Gail Zasowski1, Gail Zasowski6, Friedrich Anders17, Sarbani Basu18, Stephane Beland19, Michael R. Blanton20, Jo Bovy21, Jo Bovy14, Joel R. Brownstein22, Joleen K. Carlberg23, Joleen K. Carlberg1, William J. Chaplin24, William J. Chaplin25, Cristina Chiappini17, Daniel J. Eisenstein26, Yvonne Elsworth24, Diane Feuillet8, Scott W. Fleming27, Scott W. Fleming28, Jessica Galbraith-Frew22, Rafael A. García29, D. Anibal García-Hernández4, D. Anibal García-Hernández5, Bruce Gillespie6, Léo Girardi30, James E. Gunn21, Sten Hasselquist1, Sten Hasselquist8, Michael R. Hayden8, Saskia Hekker31, Saskia Hekker25, Inese I. Ivans22, Karen Kinemuchi8, Mark A. Klaene8, Suvrath Mahadevan11, Savita Mathur32, Benoit Mosser33, Demitri Muna10, Jeffrey A. Munn, Robert C. Nichol, Robert W. O'Connell1, John K. Parejko18, Annie C. Robin34, H. J. Rocha-Pinto35, M. Schultheis36, Aldo Serenelli5, Neville Shane1, Victor Silva Aguirre25, Jennifer Sobeck1, Benjamin A. Thompson3, Nicholas W. Troup1, David H. Weinberg10, Olga Zamora4, Olga Zamora5 
TL;DR: In this article, the Hungarian National Research, Development and Innovation Office (K-119517) and Hungarian National Science Foundation (KNFI) have proposed a method to detect the presence of asteroids in Earth's magnetic field.
Abstract: National Science Foundation [AST-1109178, AST-1616636]; Gemini Observatory; Spanish Ministry of Economy and Competitiveness [AYA-2011-27754]; NASA [NNX12AE17G]; Hungarian Academy of Sciences; Hungarian NKFI of the Hungarian National Research, Development and Innovation Office [K-119517]; Alfred P. Sloan Foundation; National Science Foundation; U.S. Department of Energy Office of Science

1,193 citations


Authors

Showing all 1916 results

NameH-indexPapersCitations
David S. Ellsworth8020728072
Andrew A. Lacis7316127563
Dean F. Sittig7138117004
Thomas J. Schmugge6318813066
David C. Classen5816418303
James D. Kubicki5821610151
Damian J. Christian5221613461
Steven N. Shore462346982
Chris Shrader4514010678
Rupak Biswas411739962
M. P. Anantram401746193
Theodore R. Gull391256792
V. N. Venkatakrishnan38955355
James P. Meador37844630
Joel Wm. Parker361764627
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20181
20178
201615
201533
201421
201329