CfunBASE: A Cosmological Functions Library for Astronomical Databases

2010 ◽  
Vol 122 (894) ◽  
pp. 976-989 ◽  
Author(s):  
M. Taghizadeh-Popp
Keyword(s):  
Astronomical Databases

A parallel model for SQL astronomical databases based on solid state storage

2017 ◽  
Vol 20 ◽  
pp. 77-82 ◽  
Author(s):  
J. González-Núñez ◽  
R. Gutiérrez-Sánchez ◽  
J. Salgado ◽  
J.C. Segovia ◽  
B. Merín ◽  
...  
Keyword(s):  
Solid State ◽  
Parallel Model ◽  
Astronomical Databases

scholarly journals Report on the Discussions on Library and Information Services in Astronomy During IAU Colloquium 110 (Washington, D.C., 1988)

1989 ◽  
Vol 110 ◽  
pp. 2-34
Author(s):  
G.A. Wilkins
Keyword(s):  
Developing Countries ◽  
Space Flight ◽  
Information Services ◽  
New Developments ◽  
Astronomical Databases ◽  
Goddard Space ◽  
Goddard Space Flight Center

AbstractThis report provides an overview of the presentations and summarises the discussions at IAU Colloquium 110, which was held in Washington, D.C., on 1988 July 26-30 and at the Goddard Space Flight Center on 1988 August 1. The topics included: the publication and acquisition of books and journals; searching for astronomical information; the handling and use of special-format materials; conservation; archiving of unpublished documents; use of computers in libraries; astronomical databases and various aspects of the administration of astronomy libraries and services. Particular attention was paid to new developments, but the problems of astronomers and institutions in developing countries were also considered.

scholarly journals Enabling Access to Astronomical Databases through the Grid: a Case Study

2004 ◽  
Author(s):  
S Pastore ◽  
A Volpato ◽  
A. Baruffolo ◽  
L. Benacchio ◽  
G. Taffoni ◽  
...  
Keyword(s):  
Astronomical Databases

The role of Big Data in Astronomy Education

2019 ◽  
Vol 15 (S367) ◽  
pp. 214-217
Author(s):  
A. M. Mickaelian ◽  
G. A. Mikayelyan
Keyword(s):  
Big Data ◽  
Computer Science ◽  
Gamma Ray ◽  
Electromagnetic Spectrum ◽  
Young Generation ◽  
Large Area ◽  
Astronomy Education ◽  
Astronomical Databases ◽  
Astronomical Surveys ◽  
Optical Images

AbstractWe review Big Data in Astronomy and its role in Astronomy Education. At present all-sky and large-area astronomical surveys and their catalogued data span over the whole range of electromagnetic spectrum, from gamma-ray to radio, as well as most important surveys giving optical images, proper motions, variability and spectroscopic data. Most important astronomical databases and archives are presented as well. They are powerful sources for many-sided efficient research using the Virtual Observatory (VO) environment. It is shown that using and analysis of Big Data accumulated in astronomy lead to many new discoveries. Using these data gives a significant advantage for Astronomy Education due to its attractiveness and due to big interest of young generation to computer science and technologies. The Computer Science itself benefits from data coming from the Universe and a new interdisciplinary science Astroinformatics has been created to manage these data.

scholarly journals Science projects with the Armenian Virtual Observatory (ArVO)

2006 ◽  
Vol 2 (14) ◽  
pp. 594-594
Author(s):  
Areg M. Mickaelian
Keyword(s):  
White Dwarfs ◽  
Cataclysmic Variables ◽  
Seyfert Galaxies ◽  
Spectral Lines ◽  
Radio Sources ◽  
Virtual Observatory ◽  
X Ray ◽  
Astronomical Databases ◽  
Science Projects ◽  
Optical Identifications

The main goal of the Armenian Virtual Observatory is to develop efficient methods for science projects based on the digitized famous Markarian survey (Digitized First Byurakan Survey, DFBS) and other large astronomical databases, both Armenian and international. Two groups of projects are especially productive: search for new interesting objects of definite types by low-dispersion template spectra, and optical identifications of new gamma, X-ray, IR and radio sources. The first one is based on modeling of spectra for a number of types of objects: QSOs, Seyfert galaxies, white dwarfs, subdwarfs, cataclysmic variables, planetary nebulae, late-type stars (K-M, S, carbon), etc. Each kind of object appears in the DFBS with its typical SED and spectral lines (for objects having broad lines only, like white dwarfs and subdwarfs, quasars and Seyferts, etc.), however affected also by its brightness, so that each template works for definite range of magnitudes. The search criteria define how many objects will be found for further study, and may restrict these numbers leaving with the best candidates. Optical identifications have been proven to be rather efficient for IR sources from IRAS-psc and -fsc. Tests have been carried out for X-ray and radio sources as well. Special emphasis is put on search for bright QSOs missed by the Sloan Digital Sky Survey (SDSS), rather important for making up their complete sample, studies of the properties of the Local Universe, a comparison of their X-ray, IR, and radio properties and making up their multiwavelength SEDs, as well as for a refinement of the AGN classification. A project for search for new bright QSOs using the DFBS has been started in the region with δ>0° and |b|>20°. The Byurakan 2.6m telescope is being used for the spectral identification of the candidates. The first test resulted in 145 objects found, 81 being known QSOs/Sys, and 64 new candidates (including 23 NVSS and FIRST radio sources).

Artificial Intelligence Tools for Data Mining in Large Astronomical Databases

2006 ◽  
pp. 202-213 ◽  
Author(s):  
Giuseppe Longo ◽  
Ciro Donalek ◽  
Giancarlo Raiconi ◽  
Antonino Staiano ◽  
Roberto Tagliaferri ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Astronomical Databases

Advanced data mining tools for exploring large astronomical databases

2001 ◽  
Author(s):  
Giuseppe Longo ◽  
Roberto Tagliaferri ◽  
Salvatore Sessa ◽  
Patricio F. Ortiz ◽  
Massimo Capaccioli ◽  
...  
Keyword(s):  
Data Mining ◽  
Astronomical Databases ◽  
Mining Tools

scholarly journals Special Session 3 The Virtual Observatory in action: new science, new technology, and next generation facilities

2006 ◽  
Vol 2 (14) ◽  
pp. 577-578
Author(s):  
Nicholas A. Walton ◽  
Andrew Lawrence ◽  
Roy Williams
Keyword(s):  
Large Scale ◽  
New Technology ◽  
Virtual Observatory ◽  
New Science ◽  
Astronomical Databases ◽  
Large Databases ◽  
Very Large Databases ◽  
Technological Developments ◽  
Computational Resources ◽  
The Way

The vision of the Virtual Observatory (VO) is to make access to astronomical databases as seamless and transparent as browsing the World Wide Web is today. It will federate the data flows from current and future facilities and large scale surveys, and the computational resources and new tools necessary to fully exploit them. This requires both technological developments and an international commitment to standardisation and working culture. Increasingly, it will alter the way that astronomers do science, and the way that future facilities and projects plan for their data management, and the scientific exploitation of their data. It will make an impact on a wide variety of astronomical topics, but especially those using very large databases, and those needing a multiwavelength approach, or more generally the use of multiple archives.

Mining Astronomical Databases

2001 ◽  
pp. 85-94 ◽  
Author(s):  
Roberta M. Humphreys ◽  
Juan E. Cabanela ◽  
Jeffrey Kriessler
Keyword(s):  
Astronomical Databases
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