Academic Journal
Superposition of nuclear states in multi-lambda systems using x-ray laser pulses
| العنوان: | Superposition of nuclear states in multi-lambda systems using x-ray laser pulses |
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| المؤلفون: | Mansourzadeh-Ashkani, N, Saadati-Niari, M, Zolfagharpour, F, Nedaee-Shakarab, B |
| المصدر: | Journal of Physics G: Nuclear and Particle Physics ; volume 49, issue 1, page 015103 ; ISSN 0954-3899 1361-6471 |
| بيانات النشر: | IOP Publishing |
| سنة النشر: | 2021 |
| الوصف: | Nuclear-state population transfer in the multi-lambda systems with N = 5 that interact with four x-ray laser pulses are investigated theoretically. By using the coincident pulses and stimulated Raman adiabatic passage (STIRAP) techniques, the population transfer from one initially populated ground state to an arbitrary coherent superposition of other ground states. Since the frequency of currently available x-ray lasers is lower than the gamma rays, in this method, x-ray laser pulses with different frequencies are interacting with the accelerated nuclei. We employ the Morris-Shore transformation to reduce the five-states system to two separate three-state and two-state linkage. The required laser intensities were calculated, which satisfy the conditions of coincident pulses and multi-lambda STIRAP techniques. Considering the spontaneous emission from excited states, the master equation has to be used for numerical study, and it is shown that an arbitrary superposition of final ground states can be obtained. Also, it is observed that by increasing the number of coincident pulses, the population of ground states gets closer to the ideal situation. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1088/1361-6471/ac3630 |
| DOI: | 10.1088/1361-6471/ac3630/pdf |
| الاتاحة: | http://dx.doi.org/10.1088/1361-6471/ac3630 https://iopscience.iop.org/article/10.1088/1361-6471/ac3630 https://iopscience.iop.org/article/10.1088/1361-6471/ac3630/pdf |
| Rights: | https://iopscience.iop.org/page/copyright ; https://iopscience.iop.org/info/page/text-and-data-mining |
| رقم الانضمام: | edsbas.EF426A8B |
| قاعدة البيانات: | BASE |
| DOI: | 10.1088/1361-6471/ac3630 |
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