Nuclear charge distribution of fission products from<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi mathvariant="normal">U</mml:mi></mml:mrow><mml:mprescripts /><mml:mrow /><mml:mrow><mml:mn>235</mml:mn></mml:mrow><mml:mrow /><mml:mrow /></mml:mmultiscripts></mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">th</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>)

Siegert, G.; Wöllnik, H.; Greif, J.; Decker, R.; Fiedler, G.; Pfeiffer, B.

doi:10.1103/physrevc.14.1864

Cited by 41 publications

(30 citation statements)

References 13 publications

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“…The half-life of (1.9 ___0.1)s obtained in this work is slightly shorter than the values given in literature [10][11][12]. The P,-value of 85As was determined via its fractional independent fission yield of Y~5=0.12_+0.01 (Method3) [19,21,22]. The neutron emission probability of (22_+8)% obtained in this way is in good agreement with existing data [10, ll].…”

Section: Resultssupporting

confidence: 76%

“…It should be noted that the accuracy of the P,-values obtained with methods 2 and 3 depends strongly on the precision of the P, used for normalization, and on the independent fission yields entering the P,-determination. In this paper we use 9~ and 139I as reference nuclides, where neutron emission probabilities [1,7,20,26] as well as fractional independent fission yields [7,9,19] have been determined recently ( Table 1). Table 2 summarizes the half-lives and delayed neutron emission probabilities of the precursors studied in this work, together with existing experimental values.…”

Section: Discussionmentioning

confidence: 99%

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Half-lives andP n values of delayed-neutron precursors in the mass chains 85?87, 92, 135, 136 and 145

et al. 1978

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Further results are presented on half-lives and neutron emission probabilities (P,) of short-lived delayed-neutron precursors in the mass chains 85-87, 92, 135, 136 and 145 obtained with the recoil focussing parabola-type mass separator for unslowed fission products LOHENGRIN installed at the Grenoble high-flux reactor. A new P,-value of (44_14)% is given for the (0.73 +0.06)s 87As; the P,-values of seven precursor nuclides have been redetermined: (1.9 • s 85As with (22_+8) %, 0.9 s 86As with (10.5 _+2.2)%, (0.35 _+0.04)s 92Br with (21 _+8)%, (1.6 _+0.15)s ~35Sb with (14-t-1)%, (0.9• 136Sb with (19___9)%, (17.5_+0.2)s 136Te with (2.0_+1.0)% and 0.6s 145Cs with (12.5 _+3.0)%. The results are compared with the existing data, and the neutron emission probabilities are discussed within a simple semi-empirical picture.

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Section: Resultssupporting

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Half-lives andP n values of delayed-neutron precursors in the mass chains 85?87, 92, 135, 136 and 145

et al. 1978

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“…In the simulation, where the fluctuations are just of statistical nature, it is enough to use a reasonably large number of counts N c (Z) 4 . One should be aware that the fluctuations on one Z affect the estimated value of the staggering parameter ∆ Z also for neighboring charges, and this happens in quite a complicated and correlated way that is difficult to estimate without a simulation.…”

Section: Third Difference Methods (Y-3di)mentioning

confidence: 99%

“…The staggering effect was first investigated long time ago in the fission of actinide nuclei, mainly induced by low-energy neutrons (see e.g. [1,2,3,4,5,6,7,8] and references therein) and it was attributed to the extra energy required to break a pair of protons or neutrons [9]. Experimentally the odd-even effect in fission was found to be less pronounced for neutrons than for protons.…”

Section: Introductionmentioning

confidence: 99%

Methods for a quantitative evaluation of odd-even staggering effects

Olmi¹,

Piantelli²

2015

Eur. Phys. J. A

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Abstract. Odd-even effects, also known as staggering effects, are a common feature observed in the yield distributions of fragments produced in different types of nuclear reactions. We review old methods, and we propose new ones, for a quantitative estimation of these effects as a function of proton or neutron number of the reaction products. All methods are compared on the basis of Monte Carlo simulations. We find that some are not well suited for the task, the most reliable ones being those based either on a non-linear fit with a properly oscillating function or on a third (or fourth) finite difference approach. In any case, high statistic is of paramount importance to avoid that spurious structures appear just because of statistical fluctuations in the data and of strong correlations among the yields of neighboring fragments.

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“…The two Figure 1. Calculated charge distribution compared with experimental data taken from [15][16][17]. The configurations allowed in the (β 1 , β 2 ) plane are chosen such that the quasifission barrier is greater than 1.15 MeV.…”

Section: Modelmentioning

confidence: 99%

Energy dependence of fission observables

Paşca

2016

EPJ Web of Conferences

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Abstract. The mass, charge and isotopic distributions of fission fragments are studied within an improved scission-point statistical model in the reaction 235 U+n at different energies of the incident neutron. The available experimental data are well reproduced and the energy-dependencies of the observable characteristics of fission are predicted for future experiments. The calculated mass distribution of 238 U+n is also compared with experimental data.

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Nuclear charge distribution of fission products fromU235(nth)

Cited by 41 publications

References 13 publications

Half-lives andP n values of delayed-neutron precursors in the mass chains 85?87, 92, 135, 136 and 145

Half-lives andP n values of delayed-neutron precursors in the mass chains 85?87, 92, 135, 136 and 145

Methods for a quantitative evaluation of odd-even staggering effects

Energy dependence of fission observables

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