COMPILATION OF MACHINE-READABLE ASTRONOMICAL DATA FILES

Author(s):  
A. Uesugi ◽  
I. Fukuda
1986 ◽  
Vol 109 ◽  
pp. 739-748
Author(s):  
Wayne H. Warren

The acquisition, preparation and distribution of machine-readable astrometric data by the Astronomical Data Center (ADC) are described. Examples of certain general changes in data structure and format to improve compatability with other computers and software processing systems and to increase storage efficiency are discussed, as are the present data archive and request history of the ADC. Current development work in the areas of astrometric and positional catalogs is described.


1977 ◽  
Vol 35 ◽  
pp. 125-129
Author(s):  
William P. Bidelman

Several astronomers were relaxing after a hard day at the I.A.U. when the talk got around to their research activities. One said, “There is a red star found in the Lowell proper-motion survey that seems rather interesting – it is G232-75, which has a proper motion of almost a second of arc per year. Since Giclas1 catalogue doesn’t give any spectral type I’m planning to go to Kitt Peak to observe it. The trip only costs about 300 dollars, and besides it’s fun to visit Arizona.”


1980 ◽  
Vol 4 (2) ◽  
pp. 33 ◽  
Author(s):  
John G. Kolp

Reference tools for Machine-readable Data Files


Author(s):  
Gordon Deecker ◽  
T. Scott Murray ◽  
Jonathan Ellison
Keyword(s):  

1986 ◽  
Vol 118 ◽  
pp. 321-322
Author(s):  
Wayne H. Warren

The development of computer controlled telescopes at small observatories has dramatically increased the demand for and potential usefulness of astronomical catalogs in machine-readable form. The compilation and storage of catalogs containing program and standard stars are obvious necessities for the operation of an automatic telescope, but to date most observers have been collecting their own data and manually entering them into microcomputer disk storage. (This is clear from the small number of machine catalogs distributed by the ADC to smaller observatories.) Astronomical data centers located in several countries around the world currently archive, maintain and disseminate a wide variety of machine catalogs in virtually every discipline of astronomy, and these facilities can provide observers with nearly any kind of data needed for controlling telescopes (positional catalogs), reducing data (catalogs of all types of photometry, spectroscopy, etc.) and providing access to fundamental quantities needed for the interpretation of observations (catalogs of binaries, variables, radial and rotational velocities, etc.). The ADC presently has approximately 450 machine catalogs in its archives and these are available to observatories upon request. Procedures for obtaining data from the ADC and policies for distribution are described in this paper, while a list of all catalogs available can be obtained by contacting the ADC.


1977 ◽  
Vol 35 ◽  
pp. 104-119
Author(s):  
Anne B. Underhill ◽  
Jaylee M. Mead

AbstractMany catalogues of astronomical data appear in book form as well as in a machine-readable format. The latter form is popular because of the convenience of handling large bodies of data by machine and because it is an efficient way in which to transmit and make accessible data in books which are now out of print or very difficult to obtain. Some new catalogues are prepared entirely in a machine-readable form and the book form, if it exists at all, is of secondary importance for the preservation of the data.In this paper comments are given about the importance of prefaces for transmitting the results of a critical evaluation of a body of data and it is noted that it is essential that this type of documentation be transferred with any machine-readable catalogue. The types of error sometimes encountered in handling machine-readable catalogues are noted. The procedures followed in developing the Goddard Cross Index of eleven star catalogues are outlined as one example of how star catalogues can be compared using computers. The classical approach to evaluating data critically is reviewed and the types of question one should ask and answer for particular types of data are listed. Finally, a specific application of these precepts to the problem of line identifications is given.


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