Spectral Data Reduction and Refinement

Author(s):  
Geoffrey Longworth
Keyword(s):  
1979 ◽  
Vol 23 ◽  
pp. 305-311 ◽  
Author(s):  
Raymond P. Goehner

The automation of analytical equipment is proceeding at a rapid pace, particularly since the introduction of inexpensive microcomputer systems. Most of this equipment has one characteristic in common, that is, they produce digital spectral data. The usual method of recording spectral data has been the strip chart recorder. Strip charts require the hand encoding of position and intensities of the spectral lines. This requires that all of the lines be on scale or that the sample be run several times in order to amplify weaker lines. This problem is eliminated by recording the data digitally. Digital data can then be rapidly plotted on a cathode ray terminal to any desired scale. The user of digital data has access to a great variety of automatic data reduction programs.


1995 ◽  
Vol 149 ◽  
pp. 308-310
Author(s):  
V. V. Vlasiouk

Development of 3D spectral methods on the 6-meter telescope prompted the necessity of creating specialized software for data reduction, adapted to personal computers IBM AT/386/486 class. We had to concentrate our efforts on preparing the software for bidimensional spectral data produced by Multi-Pupil Integral Field Spectrograph of the 6-meter telescope (MPFS) and analog of panoramic spectrophotometer with spectral channeling, using scanning Fabry-Perot interferometer (PYTHEAS-6).MPFS - analog of spectrograph TIGER (Courtes et al., 1988), developed for the 6-meter telescope, provides bidimensional spectroscopy of extended sources, allowing the simultaneous detection of 99 individual spectra, produced by a lens raster from 9 by 11 microlenses. The main features of this instrument are described in (Afanasiev et al, 1994).


2002 ◽  
Author(s):  
Sinthop Kaewpijit ◽  
Jacqueline Le Moigne ◽  
Tarek El-Ghazawi

2011 ◽  
Vol 47 ◽  
pp. 73-101
Author(s):  
V. Desnoux
Keyword(s):  

2015 ◽  
Vol 30 (5) ◽  
pp. 1117-1127 ◽  
Author(s):  
Anders Larsson ◽  
Henrik Andersson ◽  
Lars Landström

Multivariate classification models, both from 1D spectra and 2D image data (also with simulated shifts), were evaluated and compared.


2015 ◽  
Vol 69 (4) ◽  
pp. 473-480 ◽  
Author(s):  
Xuechen Zhang ◽  
Christian Nansen ◽  
Nader Aryamanesh ◽  
Guijun Yan ◽  
Farid Boussaid

2014 ◽  
Vol 31 (7) ◽  
pp. 1445 ◽  
Author(s):  
Farnaz Agahian ◽  
Brian Funt
Keyword(s):  

2014 ◽  
Vol 69-70 ◽  
pp. 75-99
Author(s):  
T. ten Brummelaar
Keyword(s):  

1986 ◽  
Vol 47 (C5) ◽  
pp. C5-109-C5-113
Author(s):  
J. W. CAMPBELL ◽  
D. CROFT ◽  
J. R. HELLIWELL ◽  
P. MACHIN ◽  
M. Z. PAPIZ ◽  
...  

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