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Applying a new method for analyzing experimental data on nuclear reactions at high energies

  • Proceedings of the International Conference “Nucleus-2011” (The 61st International Conference on Nuclear Spectroscopy and the Structure of Atomic Nuclei)
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Bulletin of the Russian Academy of Sciences: Physics Aims and scope

Abstract

A new statistical method is proposed for the analysis of experimental data obtained in nucleus-nucleus collisions at high energies which borrows from ideas developed using the Random Matrix Theory. The method allows us to detect regions with correlation effects in the momentum distributions of secondary particles.

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Authors and Affiliations

  1. COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    M. K. Suleymanov, E. I. Shahaliev, A. Ajaz, A. Zaman, K. H. Khan & Z. Wazir

  2. Joint Institute for Nuclear Research, Dubna, 141980, Russia

    M. K. Suleymanov, R. G. Nazmitdinov & E. I. Shahaliev

  3. Department de Fisica, Universitat Illes Balears, Palma de Mallorca, 07122, Spain

    R. G. Nazmitdinov

  4. Dubna International University, Dubna, 141980, Russia

    R. G. Nazmitdinov

  5. Institute of Radiation Problems, Azerbaijan National Academy of Sciences, Baku, 370009, Azerbaijan

    E. I. Shahaliev & O. B. Abdinov

Authors
  1. M. K. Suleymanov
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  2. R. G. Nazmitdinov
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  3. E. I. Shahaliev
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  4. O. B. Abdinov
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  5. A. Ajaz
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  6. A. Zaman
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  7. K. H. Khan
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  8. Z. Wazir
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Corresponding author

Correspondence to M. K. Suleymanov.

Additional information

Original Russian Text © M.K. Suleymanov, R.G. Nazmitdinov, E.I. Shahaliev, O.B. Abdinov, A. Ajaz, A. Zaman, K.H. Khan, Z. Wazir, 2012, published in Izvestiya Rossiiskoi Akademii Nauk. Seriya Fizicheskaya, 2012, Vol. 76, No. 10, pp. 1214–1217.

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Suleymanov, M.K., Nazmitdinov, R.G., Shahaliev, E.I. et al. Applying a new method for analyzing experimental data on nuclear reactions at high energies. Bull. Russ. Acad. Sci. Phys. 76, 1089–1092 (2012). https://doi.org/10.3103/S106287381204034X

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  • DOI: https://doi.org/10.3103/S106287381204034X

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