Dye laser and thermal emission spectroscopy of the TbO molecule

1984 ◽  
Vol 62 (12) ◽  
pp. 1855-1870 ◽  
Author(s):  
N. Kulikov ◽  
L. A. Kaledin ◽  
A. I. Kobyliansky ◽  
L. V. Gurvich
Keyword(s):  
Fluorescence Detection ◽  
Ground State ◽  
Emission Spectroscopy ◽  
Fluorescence Spectra ◽  
Laser Excitation ◽  
Thermal Emission ◽  
Rotational Structure ◽  
Electronic Transitions ◽  
Rotational Constants ◽  
Thermal Emission Spectroscopy

The rotational structure of six bands of the TbO molecule, including the 0–0 bands of electronic transitions III, IV, and V, was analyzed using laser excitation spectroscopy with selective fluorescence detection. From the fluorescence spectra obtained through excitation of selected rotational lines in these bands, the energies of 14 low-lying Ω states as well as ΔG1/2 values for the four lowest Ω states were determined. The values of Ω and rotational constants B and D were found for each, low-lying state and the upper states of the analyzed bands; an energy linkage for all the electronic transitions, whose rotational structure has been analyzed, is established. The ground state constants of TbO are (2σ—uncertainty in parentheses) Ω = 6.5, B0 = 0.3525(1) cm−1, D0 = 1.8(2) × 10−7 cm−1, ΔG1/2 = 837.1(1) cm−1, α = 1.5(1) × 10−3 cm−1.

Surface-Enhanced Thermal Emission Spectroscopy with Perfect Absorber Metasurfaces

ACS Photonics ◽  
2019 ◽  
Vol 6 (6) ◽  
pp. 1506-1514 ◽  
Author(s):  
Franziska B. Barho ◽  
Fernando Gonzalez-Posada ◽  
Mario Bomers ◽  
Aude Mezy ◽  
Laurent Cerutti ◽  
...  
Keyword(s):  
Emission Spectroscopy ◽  
Thermal Emission ◽  
Perfect Absorber ◽  
Surface Enhanced ◽  
Thermal Emission Spectroscopy

scholarly journals Analysis of terrestrial and Martian volcanic compositions using thermal emission spectroscopy: 1. Determination of mineralogy, chemistry, and classification strategies

2001 ◽  
Vol 106 (E7) ◽  
pp. 14711-14732 ◽  
Author(s):  
Michael B. Wyatt ◽  
Victoria E. Hamilton ◽  
Harry Y. McSween ◽  
Philip R. Christensen ◽  
Lawrence A. Taylor
Keyword(s):  
Emission Spectroscopy ◽  
Thermal Emission ◽  
Thermal Emission Spectroscopy

scholarly journals Volcanic SO<sub>2</sub> and SiF<sub>4</sub> visualization using 2-D thermal emission spectroscopy – Part 2: Wind propagation and emission fluxes

2012 ◽  
Vol 5 (4) ◽  
pp. 4599-4633 ◽  
Author(s):  
A. Krueger ◽  
W. Stremme ◽  
R. Harig ◽  
M. Grutter
Keyword(s):  
Wind Field ◽  
Emission Spectroscopy ◽  
Thermal Emission ◽  
Diagnostic Tools ◽  
Volcanic Plume ◽  
Reconstruction Method ◽  
Emission Flux ◽  
Volcanic Gas ◽  
Reconstruction Methods ◽  
Thermal Emission Spectroscopy

Abstract. The technique for measuring two-dimensional (2-D) plumes of volcanic gases with thermal emission spectroscopy was described in Part 1 by Stremme et al. (2012). In that paper the instrumental aspects as well as retrieval strategies for obtaining the slant column images of SO2 and SiF4, as well as animations of particular events observed at the Popocatépetl volcano, were presented. This work focuses on the procedures for determining the propagation speed of the gases and estimating an emission flux from the given image sequences. A 2-D column density distribution of a volcanic gas, available as time-consecutive frames, provides information of a wind-field and the average velocity at which the volcanic plume is propagating. The presented reconstruction method solves the equation of continuity as an ill-posed problem using mainly a Tikhonov-like regularization. It is observed from the available data sets that if the main direction of propagation is perpendicular to the line-of-sight, the algorithm works well for SO2 which has the strongest signals, and also for SiF4 in some favourable cases. Due to the similarity of the algorithm used here with the reconstruction methods used for profile retrievals based on optimal estimation theory, diagnostic tools like the averaging kernels can be calculated analogously and the information can be quantified as degrees of freedom. Thus, it is shown that the combination of wind-field and column distribution of the gas plume can provide the emission flux of the volcano both during day and night.

scholarly journals Volcanic SO<sub>2</sub> and SiF<sub>4</sub> visualization using 2-D thermal emission spectroscopy – Part 2: Wind propagation and emission rates

2013 ◽  
Vol 6 (1) ◽  
pp. 47-61 ◽  
Author(s):  
A. Krueger ◽  
W. Stremme ◽  
R. Harig ◽  
M. Grutter
Keyword(s):  
Wind Field ◽  
Emission Spectroscopy ◽  
Emission Rate ◽  
Thermal Emission ◽  
Diagnostic Tools ◽  
Volcanic Plume ◽  
Reconstruction Method ◽  
Emission Rates ◽  
Reconstruction Methods ◽  
Thermal Emission Spectroscopy

Abstract. A technique for measuring two-dimensional (2-D) plumes of volcanic gases with thermal emission spectroscopy was described in Part 1 by Stremme et al. (2012a). In that paper the instrumental aspects as well as retrieval strategies for obtaining the slant column images of SO2 and SiF4, as well as animations of particular events observed at the Popocatépetl volcano, were presented. This work focuses on the procedures for determining the propagation speed of the gases and estimating an emission rate from the given image sequences. A 2-D column density distribution of a volcanic gas, available as time-consecutive frames, provides information of a projected wind field and the average velocity at which the volcanic plume is propagating. This information is valuable since the largest uncertainties when calculating emission rates of the gases using remote sensing techniques arise from propagation velocities which are often inadequately assumed. The presented reconstruction method solves the equation of continuity as an ill-posed problem using mainly a Tikhonov-like regularisation. It is observed from the available data sets that if the main direction of propagation is perpendicular to the line-of-sight, the algorithm works well for SO2, which has the strongest signals, and also for SiF4 in some favourable cases. Due to the similarity of the algorithm used here with the reconstruction methods used for profile retrievals based on optimal estimation theory, diagnostic tools like the averaging kernels can be calculated in an analogous manner and the information can be quantified as degrees of freedom. Thus, it is shown that the combination of wind field and column distribution of the gas plume can provide the emission rate of the volcano both during day and night.

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