The vibration–rotation spectrum of 12C2HD: new overtone bands and global vibrational analysis

2004 ◽  
Vol 228 (2) ◽  
pp. 499-510 ◽  
Author(s):  
M. Herman ◽  
C. Depiesse ◽  
G. Di Lonardo ◽  
A. Fayt ◽  
L. Fusina ◽  
...  
Keyword(s):  
Vibrational Analysis ◽  
Vibration Rotation ◽  
Rotation Spectrum

scholarly journals Accurateab initiopotential energy curve of F2. III. The vibration rotation spectrum

2007 ◽  
Vol 127 (20) ◽  
pp. 204313 ◽  
Author(s):  
L. Bytautas ◽  
N. Matsunaga ◽  
T. Nagata ◽  
M. S. Gordon ◽  
K. Ruedenberg
Keyword(s):  
Energy Curve ◽  
Vibration Rotation ◽  
Rotation Spectrum

scholarly journals Observations of the Outer Atmospheric Regions of α Orionis

1980 ◽  
Vol 51 ◽  
pp. 278-278
Author(s):  
A.P. Bernat ◽  
L. Goldberg
Keyword(s):  
Observational Studies ◽  
Blue Shift ◽  
Centre Of Mass ◽  
Astrophysical Journal ◽  
Residual Intensity ◽  
Mass Flows ◽  
Vibration Rotation ◽  
Rotation Spectrum ◽  
Infrared Triplet

AbstractWe present three separate observational studies of mass flows above the photosphere of α Ori (M2 Ia-Ib). The Ca II infrared triplet lines and Hα are asymmetric showing a systematic blue shift with decreasing residual intensity. These lines remain fixed in wavelength although the weak photospheric lines vary by ±4 km/sec. Observations of the 4.6μ vibration-rotation spectrum of CO show two sharp, cold components expanding at velocities of 10 and 17 km/sec relative to the centre of mass. Direct photographs of the shell in the light of KI λ7699 show that the cold shell is asymmetric and extends outward to at least 50”.Details of these studies are either in press or will be submitted to “The Astrophysical Journal”.

Measurement of the ν1 vibration‐rotation spectrum of the thioformyl ion (HCS+) by velocity modulation laser spectroscopy

1985 ◽  
Vol 83 (10) ◽  
pp. 4845-4848 ◽  
Author(s):  
Neil H. Rosenbaum ◽  
Jeffrey C. Owrutsky ◽  
Leslie M. Tack ◽  
Richard J. Saykally
Keyword(s):  
Laser Spectroscopy ◽  
Velocity Modulation ◽  
Vibration Rotation ◽  
Rotation Spectrum

Accurate Wavelength Measurements of a Putative Standard for Near-Infrared Diffuse Reflection Spectrometry

2003 ◽  
Vol 57 (2) ◽  
pp. 176-185 ◽  
Author(s):  
Tomas Isaksson ◽  
Husheng Yang ◽  
Gabor J. Kemeny ◽  
Richard S. Jackson ◽  
Qian Wang ◽  
...  
Keyword(s):  
Near Infrared ◽  
Diffuse Reflection ◽  
Center Of Mass ◽  
Baseline Correction ◽  
Peak Picking ◽  
Beam Path ◽  
Polynomial Fit ◽  
Vibration Rotation ◽  
Rotation Spectrum ◽  
Diffuse Reflection Spectrometry

The diffuse reflection (DR) spectrum of a sample consisting of a mixture of rare earth oxides and talc was measured at 2 cm−1 resolution, using five different accessories installed on five different Fourier transform near-infrared (FT-NIR) spectrometers from four manufacturers. Peak positions for 37 peaks were determined using two peak-picking algorithms: center-of-mass and polynomial fitting. The wavenumber of the band center reported by either of these techniques was sensitive to the slope of the baseline, and so the baseline of the spectra was corrected using either a polynomial fit or conversion to the second derivative. Significantly different results were obtained with one combination of spectrometer and accessory than the others. Apparently, the beam path through the interferometer and DR accessory was different for this accessory than for any of the other measurements, causing a severe degradation of the resolution. Spectra measured on this instrument were removed as outliers. For measurements made on FT-NIR spectrometers, it is shown that it is important to check the resolution at which the spectrum has been measured using lines in the vibration-rotation spectrum of atmospheric water vapor and to specify the peak-picking and baseline-correction algorithms that are used to process the measured spectra. The variance between the results given by the four different methods of peak-picking and baseline correction was substantially larger than the variance between the remaining five measurements. Certain bands were found to be more suitable than others for use as wavelength standards. A band at 5943.13 cm−1 (1682.62 nm) was found to be the most stable band between the four methods and the six measurements. A band at 5177.04 cm−1 (1931.61 nm) has the highest precision between different measurements when polynomial baseline correction and polynomial peak-picking algorithms are used.

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