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Kr ii transition probability measurements for the UV spectral region
Author(s) -
María Teresa Belmonte,
Lazar Gavanski,
Ramón J. Peláez,
J. A. Aparicio,
S. Djurović,
S. Mar
Publication year - 2015
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-8711
pISSN - 0035-8711
DOI - 10.1093/mnras/stv2710
Subject(s) - physics , krypton , ionization , spectral line , extreme ultraviolet , atomic physics , radiative transfer , ultraviolet , astrophysics , wavelength , emission spectrum , line (geometry) , optics , laser , ion , argon , astronomy , geometry , mathematics , quantum mechanics
7 págs.; 4 figs.; 3 tabs.The determination of radiative transition probabilities or oscillator strengths is of common interest in astrophysics. The analysis of the high-resolution stellar spectra is now available in order to estimate the stellar abundances. In this paper, 93 experimentally obtained transition probability values (A) for singly ionized krypton spectral lines belonging to the ultraviolet (UV) wavelength region (208-360) nm are presented. These data, expressed in absolute units, were derived from the measurements of relative spectral line intensities and the values of transition probability data taken from the literature. The results obtained extend considerably the transition probability data base. As a light source, a plasma from a low-pressure pulsed arc was used. Its electron density was in the range of (1.5-3.4) × 10 m, while the temperature was between 28 000 and 35 000 K. A detailed analysis of the results is also given. Only a few relative and a few absolute transition probabilities from other authors, for the mentioned spectral region, are available in the literature.MTB acknowledges financial support from the University of\udValladolid through the FPI PhD grant. LGandSDthank the Ministry\udof Education, Science and Technological development of Republic\udSerbia for support under Project 171014. RJP acknowledges the\udgrant JCI-2012-13034 from the Juan de la Cierva Programme.Peer Reviewe

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