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A new analytical approach to study chaos fraction characterization by using intensity interferometry

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Listed:
  • Bary, Ghulam
  • Ahmed, Waqar
  • Sajid, Muhammad
  • Ahmad, Riaz
  • Khan, Ilyas
  • Huang, Duohui
  • Wang, Yue

Abstract

Multi particle intensity correlations measured to investigate the fluid debris produced during the collisions at the world largest colliders and observed a remarkable suppression in the measurement of three and four pions interferences. The analogous suppression can be analyzed to explore the chaos and coherence fractions of particle production sources in the collisions of heavy nuclei at unprecedented energies. We illustrate and explore the particles emissions from radiated sources with Bose Einstein coherence which induce multi particle interferences to probe the peculiarity of the sources as well as the distinctions about the chaos fraction in the collisions at unrivalled energies. We perspicacious that pions seem to the pertinent aspirant of coherence and chaos fractions, and the normalized chaos weight factors evaluate the existence of such hybrid phases of chaos and coherence significantly. The key point of this research is that we analyze normalized chaos weight factors to examine the chaos and coherence fractions of pions during the collisions of heavy nuclei. With such distinctive and novel approach, we observe a significant difference in the normalized chaos weight factors at small temperature and large momenta regimes.

Suggested Citation

  • Bary, Ghulam & Ahmed, Waqar & Sajid, Muhammad & Ahmad, Riaz & Khan, Ilyas & Huang, Duohui & Wang, Yue, 2021. "A new analytical approach to study chaos fraction characterization by using intensity interferometry," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    • Handle: RePEc:eee:chsofr:v:152:y:2021:i:c:s0960077921007682
    DOI: 10.1016/j.chaos.2021.111414
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    References listed on IDEAS

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    1. Wong, Cheuk-Yin & Zhang, Wei-Ning & Liu, Jie & Ru, Peng, 2016. "Chaoticity and Coherence in Bose-Einstein Condensation and Correlations," Journal of Central European Green Innovation, Karoly Robert University College, vol. 4(4), pages 1-16.
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    Cited by:

    1. Bary, Ghulam & Ahmed, Waqar & Sajid, Muhammad & Ahmad, Riaz & Alshammari, Nawa & Khan, Ilyas, 2022. "A remarkable chaotic analysis for coherence fraction order with its applications," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    2. Zulqurnain Sabir & Thongchai Botmart & Muhammad Asif Zahoor Raja & Wajaree Weera, 2022. "An advanced computing scheme for the numerical investigations of an infection-based fractional-order nonlinear prey-predator system," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-13, March.

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