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SOFT RIDGE IN PROTON-PROTON COLLISIONS.

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Title: SOFT RIDGE IN PROTON-PROTON COLLISIONS.
Authors: AZARKIN, M. YU.1, DREMIN, I. M.1, LEONIDOV, A. V.1
Source: Modern Physics Letters A. 4/30/2011, Vol. 26 Issue 13, p963-966. 4p. 1 Graph.
Subjects: Proton-proton interactions, Particles, Angular correlations (Nuclear physics), Geometric shapes, Nuclear reactions, Pairing correlations (Nuclear physics), Angular distribution (Nuclear physics)
Abstract: It is shown that the soft mechanism of multiparticle production by Lund hadronic strings formed by colliding constituent degrees of freedom generates a shape of angular correlations similar to the ridge structure observed in the pp collisions at 7 TeV at the LHC. [ABSTRACT FROM AUTHOR]
Copyright of Modern Physics Letters A is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: It is shown that the soft mechanism of multiparticle production by Lund hadronic strings formed by colliding constituent degrees of freedom generates a shape of angular correlations similar to the ridge structure observed in the pp collisions at 7 TeV at the LHC. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Modern Physics Letters A is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1142/S0217732311035468
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        Type: general
      – SubjectFull: Particles
        Type: general
      – SubjectFull: Angular correlations (Nuclear physics)
        Type: general
      – SubjectFull: Geometric shapes
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      – SubjectFull: Nuclear reactions
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      – SubjectFull: Pairing correlations (Nuclear physics)
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      – SubjectFull: Angular distribution (Nuclear physics)
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              Text: 4/30/2011
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              Y: 2011
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