Cross section for electronic energy transfer between Hg isotopes

Lagushenko, R.; Grossman, M. W.; Maya, J.

doi:10.1016/0009-2614(85)87005-6

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…These effects were studied extensively long ago by Gunning and Strauss (1963) and Osborn et al (1957). More recent work by Lagushenko et al (1985) studied the effects of energy transfer between mercury isotopes and found the cross section for energy transfer between even-numbered isotopes to be in excess of 10 −13 cm 2 . Although energy transfer between isotopes would tend to mix the excitation and lower penetration of the resonant light, experiments on low-pressure Ar-Hg electrical discharges still showed that increased radiation efficiency can be achieved by utilizing isotopically altered mercury vapour (Maya et al 1984).…”

Section: Hyperfine Splittingmentioning

confidence: 99%

A plasma source based on the Penning ionization of caesium by photoexcited mercury

Stalder

Vidmar

1997

Plasma Sources Sci. Technol.

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A high-pressure plasma source based on the Penning ionization of caesium by photoexcited mercury is studied by a kinetic model. Mercury vapour is photoexcited by resonant excitation at 253.7 nm to the 3 P 1 level, then quenched to the metastable 3 P 0 level by a small admixture of nitrogen. Helium is added to enhance the electron collision frequency, but as a result also enhances the decay of electron density by three-body recombination processes. The results show that almost complete ionization of caesium to densities of order 10 12 ions cm −3 can be achieved. Radiation transport in this medium is also studied, and the effects of pressure broadening and hyperfine splitting are explored. Using excitation sources and plasma sources enriched with different isotopes of mercury, hyperfine splitting can be exploited to increase the depth of penetration of the resonant excitation radiation into the plasma source volume and therefore increase the volume over which strong ionization can occur.

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Section: Hyperfine Splittingmentioning

confidence: 99%