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A simulated annealing based study to design optimum pulses for selective target excitation in vibrational levels

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Abstract

In this paper, we seek to design optimum pulses for selective target excitation to specified excited levels. We test our proposed idea for vibrational excitation in systems modelled by the Morse potential, using the time dependent Fourier grid Hamiltonian technique and the simulated annealing method.

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References

  1. J W Neuberger and D W Noid Chem. Phys. Lett. 104 1 (1983)

    Article  ADS  Google Scholar 

  2. R Kosloff J. Phys. Chem. 92 2087 (1988)

    Article  Google Scholar 

  3. C C Marston and G C Balint-Kurti J. Chem. Phys. 91 3571 (1989)

    Article  MathSciNet  ADS  Google Scholar 

  4. G C Balint-Kurti, C L Ward and C C Marston Comput. Phys. Commun. 67 285 (1991)

    Article  ADS  MATH  Google Scholar 

  5. J C Light, I P Hamilton and J V Lill J. Chem. Phys. 82 1400 (1985)

    Article  ADS  Google Scholar 

  6. S I Chu Chem. Phys. Lett. 167 155 (1990)

    Article  ADS  Google Scholar 

  7. S Sharma, H Singh and G C Balint-Kurti J. Chem. Phys. 132 064108 (2010)

    Article  ADS  Google Scholar 

  8. M K Abdel-Latif and O Kuhn Chem. Phys. 368 76 (2010)

    Article  ADS  Google Scholar 

  9. H Rabitz and W S Zhu Acc. Chem. Res. 33 572 (2000)

    Article  Google Scholar 

  10. J Botina, H Rabitz and N Rahman J. Chem. Phys. 102 226 (1995)

    Article  ADS  Google Scholar 

  11. W Jakubetz, E Kades and J Manz J. Phys. Chem. 97 12609 (1993)

    Article  Google Scholar 

  12. J Manz and G K Paramonov J. Phys. Chem. 97 12625 (1993)

    Article  Google Scholar 

  13. H P Breuer and M Holthaus J. Phys. Chem. 97 12634 (1993)

    Article  Google Scholar 

  14. W Jakubetz, B Just, J Manz and H J Schreier J. Phys. Chem. 97 2294 (1990)

    Article  Google Scholar 

  15. A Mitra and H Rabitz J. Chem. Phys. 120 044112 (2008)

    Article  ADS  Google Scholar 

  16. R S Judson and H Rabitz Phys. Rev. Lett. 68 1500 (1992)

    Article  ADS  Google Scholar 

  17. S Shi and H Rabitz Chem. Phys. 139 185 (1989)

    Article  ADS  Google Scholar 

  18. J G B Beumee and H Rabitz J. Math. Phys. 31 1235 (1990)

    Article  MathSciNet  Google Scholar 

  19. H Singh, S Sharma, P Kumar, N H Jeremy and G Balint-Kurti Lect. Notes Comput. Sci. 5102 387 (2008)

    Article  Google Scholar 

  20. A Kaiser and V May Chem. Phys. 320 95 (2006)

    Article  ADS  Google Scholar 

  21. O Atabek, C M Dion and A B H Yedderi J. Phys. B 36 4667 (2003)

    Article  ADS  Google Scholar 

  22. D E Goldberg, in Genetic Algorithms in Search, Optimization and Machine Learning (MA: Addison Wesley) (1989)

    MATH  Google Scholar 

  23. M Dorigo, V Maniezzo and A Colorni IEEE Trans. syst., man Cybern. Part B Cybern. 26 29 (1996)

    Article  Google Scholar 

  24. S Kirkpatrick, C D Gelatt and M P Vecchi Science 220 671 (1983)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  25. S Kirkpatrick J. Stat. Phys. 34 975 (1984)

    Article  MathSciNet  ADS  Google Scholar 

  26. S Guha and P Chaudhury J. Mol. Struct. (THEOCHEM) 945 12 (2010)

    Article  Google Scholar 

  27. R Car and M Parinello Phys. Rev. Lett. 55 2471 (1985)

    Article  ADS  Google Scholar 

  28. L Pan, J Li and L S Wang J. Chem. Phys. 129 024302 (2008)

    Article  ADS  Google Scholar 

  29. P Chaudhury, R Metzler and S K Banik J. Phys. A 42 335101 (2009)

    Article  MathSciNet  Google Scholar 

  30. S Adhikari and S P Bhattacharyya Phys. Lett. A 172 155 (1992)

    Article  ADS  Google Scholar 

  31. S Adhikari, P Dutta and S P Bhattacharyya Chem. Phys. Lett. 199 574 (1992)

    Article  ADS  Google Scholar 

  32. P Dutta and S P Bhattacharyya Chem. Phys. Lett. 167 309 (1990)

    Article  ADS  Google Scholar 

  33. S Nandi, P Chaudhury, R Sharma and S P Bhattacharyya J. Theor. Comput. Chem. 7 977 (2008)

    Article  Google Scholar 

Download references

Acknowledgments

We wish to thank the centre for research on Nano Science and Nano Technology, University of Calcutta for a research grant, Conv/002/Nano RAC (2008).

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Correspondence to P. Chaudhury.

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Guha, S., Mukherjee, N. & Chaudhury, P. A simulated annealing based study to design optimum pulses for selective target excitation in vibrational levels. Indian J Phys 86, 245–252 (2012). https://doi.org/10.1007/s12648-012-0065-7

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  • DOI: https://doi.org/10.1007/s12648-012-0065-7

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