Analysis of 134Cs Isomer Ratios in the Fission of 237Np with Protons in the Energy Range 20–85 MeV

1972 ◽  
Vol 50 (12) ◽  
pp. 1877-1881 ◽  
Author(s):  
C. L. Rao ◽  
L. Yaffe

An analysis has been made of the isomer ratio, σm/((σm + σg) for 134Cs isomers formed in the fission of 237Np by protons of energies 20–85 MeV. Compound nucleus formation was assumed up to a bombarding energy of 50 MeV, with direct interaction as the mechanism at higher energies. Values of the root-mean-square angular momentum of [Formula: see text] at 20 MeV and [Formula: see text] at 60–85 MeV bombarding energy agree with the experimental results. The results are consistent with the hypothesis that angular momentum is generated in the fission process.

1975 ◽  
Vol 53 (20) ◽  
pp. 3116-3120 ◽  
Author(s):  
M. Dikšić ◽  
L. Yaffe

Formation cross sections of isomers of 130I, 132I, 134I, 131Te, and 133Te have been obtained from the fission of natural uranium by protons of energies 30–85 MeV. The high-spin isomer is favored in the production and increase in bombarding energy favors the production of the high-spin isomer. From the isomer ratios values of [Formula: see text] the root-mean-square angular momentum, were obtained. These increase with increasing bombarding energy.


1969 ◽  
Vol 47 (20) ◽  
pp. 3817-3822 ◽  
Author(s):  
A. H. Khan ◽  
G. B. Saha ◽  
L. Yaffe

Isomer ratios of 90Y and 91Y formed in the fission of 235U and 238U induced by protons of energies 20–85 MeV have been determined. For both 90Y and 91Y the isomer ratios are always higher in 235U fission than in 238U fission. Isomer ratios of 90Y in 238U fission and those of 91Y in 235U and 238U fission remain almost constant in the energy range of 20–85 MeV, whereas those of 90Y in 235U fission increase with increasing bombarding energy. A theoretical calculation of these ratios indicates that the primary fragments leading to the formation of these isomers possess [Formula: see text] units of angular momentum.


1997 ◽  
Vol 55 (2) ◽  
pp. 766-774 ◽  
Author(s):  
O. A. Capurro ◽  
D. E. DiGregorio ◽  
S. Gil ◽  
D. Abriola ◽  
M. di Tada ◽  
...  

1977 ◽  
Vol 38 (10) ◽  
pp. 1179-1183 ◽  
Author(s):  
C. Volant ◽  
M. Conjeaud ◽  
S. Harar ◽  
E.F. Da Silveira

2016 ◽  
Vol 26 (1) ◽  
pp. 58
Author(s):  
Qiurong XIE ◽  
Zheng JIANG ◽  
Qinglu LUO ◽  
Jie LIANG ◽  
Xiaoling WANG ◽  
...  

2021 ◽  
Vol 13 (9) ◽  
pp. 1630
Author(s):  
Yaohui Zhu ◽  
Guijun Yang ◽  
Hao Yang ◽  
Fa Zhao ◽  
Shaoyu Han ◽  
...  

With the increase in the frequency of extreme weather events in recent years, apple growing areas in the Loess Plateau frequently encounter frost during flowering. Accurately assessing the frost loss in orchards during the flowering period is of great significance for optimizing disaster prevention measures, market apple price regulation, agricultural insurance, and government subsidy programs. The previous research on orchard frost disasters is mainly focused on early risk warning. Therefore, to effectively quantify orchard frost loss, this paper proposes a frost loss assessment model constructed using meteorological and remote sensing information and applies this model to the regional-scale assessment of orchard fruit loss after frost. As an example, this article examines a frost event that occurred during the apple flowering period in Luochuan County, Northwestern China, on 17 April 2020. A multivariable linear regression (MLR) model was constructed based on the orchard planting years, the number of flowering days, and the chill accumulation before frost, as well as the minimum temperature and daily temperature difference on the day of frost. Then, the model simulation accuracy was verified using the leave-one-out cross-validation (LOOCV) method, and the coefficient of determination (R2), the root mean square error (RMSE), and the normalized root mean square error (NRMSE) were 0.69, 18.76%, and 18.76%, respectively. Additionally, the extended Fourier amplitude sensitivity test (EFAST) method was used for the sensitivity analysis of the model parameters. The results show that the simulated apple orchard fruit number reduction ratio is highly sensitive to the minimum temperature on the day of frost, and the chill accumulation and planting years before the frost, with sensitivity values of ≥0.74, ≥0.25, and ≥0.15, respectively. This research can not only assist governments in optimizing traditional orchard frost prevention measures and market price regulation but can also provide a reference for agricultural insurance companies to formulate plans for compensation after frost.


Sign in / Sign up

Export Citation Format

Share Document