2018
DOI: 10.1051/epjconf/201817802005
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Pushing the limits of excited-state g-factor measurements

Abstract: Current developments in excited-state g-factor measurements are discussed with an emphasis on cases where the experimental methodology is being extended into new regimes. The transient-field technique, the recoil in vacuum method, and moment measurements with LaBr 3 detectors are discussed.

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Cited by 1 publication
(2 citation statements)
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References 41 publications
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“…This field can be used with the R(t ) function from run 4 shown in Fig. 8 to obtain g( 9 /2 + , 67 Ge) = −0.188 (11), in excellent agreement with the independently determined value of g = −0.1932(22) (run 2), as well as the previous literature value of g = −0.1887 (27) [18]. This consistency and the fact that the uncertainty stems primarily from the uncertainty in the literature value of the hyperfine field strength demonstrates that gadolinium hosts can be effective for TDPAD g-factor measurements.…”
Section: New G-factor Measurementsmentioning
confidence: 99%
See 1 more Smart Citation
“…This field can be used with the R(t ) function from run 4 shown in Fig. 8 to obtain g( 9 /2 + , 67 Ge) = −0.188 (11), in excellent agreement with the independently determined value of g = −0.1932(22) (run 2), as well as the previous literature value of g = −0.1887 (27) [18]. This consistency and the fact that the uncertainty stems primarily from the uncertainty in the literature value of the hyperfine field strength demonstrates that gadolinium hosts can be effective for TDPAD g-factor measurements.…”
Section: New G-factor Measurementsmentioning
confidence: 99%
“…In view of this requirement, the static hyperfine field (B hf ) that a nucleus experiences as a dilute impurity inside a ferromagnetic host is an important tool [6,7]. By recoil implanting the nucleus of interest into a ferromagnet, the static hyperfine field can be used to measure nuclear moments in-beam, in principle enabling the study of a wide variety of nuclear states by both time-integral and time-differential methods [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%