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Measurement of integral cross sections of some neutron induced reactions on rubidium at a TRIGA reactor: comparison with integrated data from evaluated data libraries

  • M. Mezbah Uddin , M. Shuza Uddin ORCID logo EMAIL logo , Rahat Khan ORCID logo , Kamrun Naher , M. Asad Shariff ORCID logo , S. Mohammod Hossain , M. Obaidur Rahman , M. Shamsuzzoha Basunia ORCID logo and Syed M. Qaim ORCID logo
Published/Copyright: April 30, 2025

Abstract

Spectrum-averaged cross sections of the reactions 85Rb(n,α)82xm + gBr, 85Rb(n,2n)84xm + gRb and 85Rb(n,p)85mKr were measured over the fast neutron spectrum with neutron energies from 0.5 to 20 MeV of a TRIGA reactor. In addition, data for the well-investigated reactions 113In(n,n´)113mIn and 115In(n,n´)115mIn were re-measured to confirm the validity of the neutron spectrum and the experimental techniques. The new results of the present measurements were used to perform integral tests of evaluated excitation functions in the latest nuclear data libraries, including ENDF/B-VIII.1, JEFF-3.3, JEFF-3.1/A, JENDL-5, IRDF-1.05, and TENDL-2023. The experimental data generally agree with the integrated values from the excitation functions within 8 %, with a few exceptions. For the reaction 85Rb(n,2n)84xm + gRb, the integrated value from the ENDF/B-VIII.1 library is higher by 17 % than the measured integral value. The JEFF-3.1/A and JENDL-5 libraries for the reaction 85Rb(n,p)85mKr appear to require improvement.


Corresponding author: M. Shuza Uddin, Institute of Nuclear Science and Technology, Atomic Energy Research Establishment, Savar, Dhaka, Bangladesh, E-mail:

Acknowledgments

The authors would like to thank the staffs of Tandem Accelerator Facilities Division, INST, AERE, Savar for their help in preparation of samples. We also grateful to operations crew of the TRIGA Mark II nuclear reactor, Savar, Dhaka, for their assistance in performing the irradiations of the samples.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-02-18
Accepted: 2025-04-14
Published Online: 2025-04-30
Published in Print: 2025-06-26

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