The problems of the account for energy-momentum conservation law and interference effects at hadron-hadron scattering

We present the new method for the calculation of inelastic scattering cross-section, which doesn't require the use of any additional Regge-like assumptions and accurately accounts for energy-momentum conservation law. This leads to a new mechanism of cross-section growth, which has not been con...

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Bibliographic Details
Date:2012
Main Authors: Sharf, I.V., Tykhonov, A.V., Deliyergiyev, M.A., Sokhrannyi, G.O., Podolyan, N.A., Rusov, V.D.
Format: Article
Language:English
Published: Odessa National Polytechnic University 2012
Series:Вопросы атомной науки и техники
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Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/106974
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:The problems of the account for energy-momentum conservation law and interference effects at hadron-hadron scattering / I.V. Sharf, A.V. Tykhonov, M.A. Deliyergiyev, G.O. Sokhrannyi, N.A. Podolyan, V.D. Rusov // Вопросы атомной науки и техники. — 2012. — № 1. — С. 21-26. — Бібліогр.: 17 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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Summary:We present the new method for the calculation of inelastic scattering cross-section, which doesn't require the use of any additional Regge-like assumptions and accurately accounts for energy-momentum conservation law. This leads to a new mechanism of cross-section growth, which has not been considered before, and is related to the behavior of hadrons longitudinal momenta. Second, it has been shown that interference diagrams, originating from the identity of final-state hadrons, put a significant contribution to the cross-section. The approximate method for taking into account such interference contributions has been developed. Altogether, this results in a fact that the dependence of the total and inelastic scattering cross-section on energy can be qualitatively reproduced by fitting only one single parameter of the model.