scholarly journals Automatic Classification of Objective Prism Spectra

1973 ◽  
Vol 50 ◽  
pp. 109-124 ◽  
Author(s):  
R. M. West
Keyword(s):  
High Speed ◽  
Automatic Classification ◽  
Software Requirements ◽  
Stellar Spectra ◽  
On Line ◽  
Objective Prism ◽  
Computer Classification ◽  
Methodological Problems ◽  
Processing Techniques

Methodological problems and hardware/software requirements of efficient automatic classification of objective prism stellar spectra are described on the basis of experience from ‘microphotometer-computer’ classification. Significant advances in hardware (two-dimensional scanners, on-line computers) as well as in software (image processing techniques) have now brought high-speed, exhaustive, automatic classification within reach. Some astronomical implications of automatic spectral surveys are discussed.

Automatic Classification of 2D Partial Discharge from Generator On-Line Measurement

2021 ◽  
Author(s):  
Claude Hudon ◽  
Melanie Levesque ◽  
Olivier Kokoko ◽  
Normand Amyot ◽  
Ryad Zemouri
Keyword(s):  
Partial Discharge ◽  
Automatic Classification ◽  
Line Measurement ◽  
On Line

scholarly journals Automatic extraction and classification of low-dispersion objective prism stellar spectra

2000 ◽  
Vol 142 (2) ◽  
pp. 339-345 ◽  
Author(s):  
E. Bratsolis ◽  
I. Bellas-Velidis ◽  
A. Dapergolas ◽  
E. Kontizas ◽  
M. Kontizas
Keyword(s):  
Automatic Extraction ◽  
Stellar Spectra ◽  
Objective Prism ◽  
Low Dispersion

Automatic classification of stellar spectra using the SOFM method

2001 ◽  
Vol 25 (1) ◽  
pp. 120-131 ◽  
Author(s):  
Xue Jian-qiao ◽  
Li Qi-bin ◽  
Zhao Yong-heng
Keyword(s):  
Automatic Classification ◽  
Stellar Spectra

Automated detection and classification of objective prism stellar spectra

1999 ◽  
Vol 18 (3) ◽  
pp. 413-424
Author(s):  
I. Bellas-Velidis ◽  
F. Pasian ◽  
E. Kontizas ◽  
A. Dapergolas ◽  
E. Bratsolis ◽  
...  
Keyword(s):  
Automated Detection ◽  
Stellar Spectra ◽  
Objective Prism

scholarly journals Microphotometry-Computer Classification of Objective-Prism Spectra

1973 ◽  
Vol 50 ◽  
pp. 125-126
Author(s):  
K. M. Yoss
Keyword(s):  
Figure Of Merit ◽  
Three Dimensional ◽  
Absolute Magnitude ◽  
Calibration Data ◽  
Dimensional Classification ◽  
Straight Line ◽  
Objective Prism ◽  
Computer Classification ◽  
Right Ascension

Three-dimensional classification of late-type stars is obtained through computer-processed digitized microphotometer data. Plate transmissions are converted to relative intensity through spot-sensitometer calibration data. A pseudo-continuum consisting of several straight-line segments is formed by connecting high points in the spectrum. Absorption-line strengths and line ratios are then measured. The temperature-and-luminosity-sensitive ratios are relatively insensitive to seeing effects. For plates with a dispersion of 108 Å mm-1, preliminary results indicate an accuracy in derived absolute magnitude comparable to, and possibly better than, that of MK classification.The CN anomaly serves as the abundance index. The CN index was defined in a manner to give the largest figure of merit (the ratio of total range of the index to the mean error). The adopted method is the same as that of Yoss and Lutz (1971) and has a figure of merit over twice that of the index similar to that of Griffin and Redman (1960).For field stars, plate X and Y positions are converted to equatorial coordinates and printed out in order of increasing right ascension, making quick and easy identification of the Henry Draper numbers.

scholarly journals Recent Developments in the Work on Automated Spectral Classification by Means of Objective Prism Spectra

1994 ◽  
Vol 161 ◽  
pp. 253-254
Author(s):  
V. Malyuto ◽  
T. Shvelidze
Keyword(s):  
Spectral Classification ◽  
Proper Motions ◽  
Stellar Spectra ◽  
Meridional Section ◽  
Spectrometric Data ◽  
Software Packages ◽  
The Galaxy ◽  
Recent Developments ◽  
Objective Prism

Some years ago a complex programme of studying the main meridional section of the Galaxy was started by astronomers of Kiev, Tartu, Abastumani and Vilnius Observatories with the aim of improving our knowledge of spatial and kinematic characteristics of stellar populations. Characteristic to the programme is the use of absolute proper motions of stars together with automated quantitative spectral classification for large stellar-statistical samples. The data are gathered in areas lying within 30° of the main meridional section of the Galaxy. To classify stars, objective prism stellar spectra of intermediate dispersion (166 å/mm at Hγ), obtained with the 70 cm meniscus telescope at the Abastumani Astrophysical Observatory, are used. The field diameter is 4° 50′, and the limiting photographical stellar magnitude is about 12 m . Our system of automated quantitative spectral classification of F-K stars applies criteria evaluation and is mainly based on two software packages: the SDR package for spectrometric data reduction and the CTATEC-2 package determining the linear regression model used for classification (Malyuto & Shvelidze 1989; Malyuto, Pelt & Shvelidze 1993).

scholarly journals Two Dimensional Spectral Classification Using a Computer

1979 ◽  
Vol 47 ◽  
pp. 287-297
Author(s):  
H. Zekl ◽  
I. Appenzeller
Keyword(s):  
Computer Program ◽  
Automatic Classification ◽  
Two Dimensional ◽  
Spectral Classification ◽  
Stellar Spectra ◽  
Individual Stars ◽  
Preliminary Results

AbstractA computer program for the automatic classification of stellar spectra is described. The aim of this program is to derive accurate absolute luminosities and spectral classes of individual stars for improved spectral parallaxes. Preliminary results are presented and future applications are discussed.

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