New technique to determine beta half-lives in complex background conditions T. Kurtukian-Nieto 1, J....
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Transcript of New technique to determine beta half-lives in complex background conditions T. Kurtukian-Nieto 1, J....
New technique to determine beta half-lives in complex background
conditions
T. Kurtukian-Nieto1, J. Benlliure1, K.-H. Schmidt2, L. Audouin3, F. Becker2, B. Blank4, E. Casarejos1,
M. Fernandez-Ordoñez1, J. Giovinazzo4, D. Henzlova2, B. Jurado4, J. Pereira1, F. Rejmund5, and O. Yordanov2
1 Universidad de Santiago de Compostela, E-15782 Santiago de Compostela, Spain2 Gesellschaft für Schwerionenforschung mbH (GSI), D-64291 Darmstadt, Germany
3 Institut de Physique Nucléaire, F-91406 Orsay Cedex, France4 CENBG, F-33175 Gradignan, France
5 GANIL, Bd Henri Becquerel, BP 55027, 14076 Caen Cedex 5, France
2
Layout
• Introduction
• Experiment
• Numerical analysis method
• Results
• Conclusion
3
208Pb(1 A GeV)+Be (107 ions/s)
ExperimentSIS18/FRS at Darmstadt, Germany
Centered on 198Ir Produced Implanted
active stopper
4 double-side strip detectors: surface: 5x5 cm2
thickness 1 mm 2x16 3.125 mm strips
2 scintillator detectors (veto)
Monoenergetic degrader
4
Implantation-decay correlations
Time
Implantationlike
Spill length ~ 2 s
Cycle 10 s
5
Numerical analysis method
Forward time
Backward time
conventional analysis tools, based on analytical time-distribution functions could not be applied
A new analysis procedure has been developed to extract the β-decay half-lives by using a numerical function
Background evaluation (uncorrelated events):
backward-time correlations
6
The time sequence of fragment implantation and β detection are simulated according to the experimental conditions observed in the FRS:
spill sequence fragment implantation rate background rate during spill and pause
leaving two free parameters: the lifetimes and the efficiency
The code produces time-correlation spectra in forward- and backward-time direction.
Monte-Carlo simulation
7
Fitting procedure: example
spill+pause only pause
8
Fitting procedure: example
The ratios typical behaviour:
• Starts with a value larger than one.
• It decreases and crosses the value of one at about 2·.
• At still larger times, the ratio decreases further due to the 'shielding' of background correlations in forward time direction
We learn that it is necessary to make time correlations covering several spills in order to distinguish between different lifetimes.
only pause
spill+pause
9
Results for 195Re :
T1/2 = s
spill+pause only pause
1
16T1/2 = s 2
26
Fitting procedure: example
10
Applicability of the method
NF be the total number of implanted fragments
the beta detection efficiency
the background rate of beta-like signals
Nº. of 'true' beta decays detected during a time T1/2 after the implantation
2FN
The N. of beta-like background detected in the same time is
21TNF
From the experience we gained during the analysis we found that we can expect to obtain reliable results with our analysis method if
2142
TNN
FF
64
2
21FNT
11
Results
Nuclide T1/2 / s(experiment)
Gross Theory1 FRDM + RPA + Gross Theory2
202Ir125 11±3 8.5 68.4199Ir122 6 (+3 -5) 96.6 370.6198Ir121 8±2 377.1
200Os124 6 (+4 -3) 16 187.1199Os123 5 (+4 -2) 17.2 106.8196Re121 3 (+1 -2) 5.1 3.6195Re120 6±1 10.3 3.3194Re119 1±0.5 16.1 70.81 T.Tachibana, et al. Proc. ENAM95, Arles, 1995, p.763
2 P. Möller, et al. Phys. Rev. C 67, 055802 (2003) (incl. deformation and 1. forbidden)
12
Conclusions
• We have developed a new numerical method for extracting the half-life information from delayed-coincidence experiments in the case of complex background conditions.
•The method is also applicable for any other kind of complex time-dependent background.
• With this method, we have provided a tool which considerably extends the possibilities for exploiting the manifold advantages of the in-flight technique in determining half-lives of exotic nuclei.
• Beta half lives have been measured for 8 new neutron-rich isotopes.
• Many measured values deviate strongly from the Gross Theory and from the FRDM + RPA + Gross Theory. (T1/2 values are smaller than expected. r-process is faster.)