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Diquark breaking mechanism up to GZK cut off energies

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Title: Diquark breaking mechanism up to GZK cut off energies
Authors: Capdevielle, J.-N., Cohen, F.1
Source: Nuclear Physics B Proceedings Supplement. Jul2003, Vol. 122 Issue 1-3, p396. 4p.
Subjects: Colliders (Nuclear physics), Particles (Nuclear physics), Quarks, Nuclear physics
Abstract: We examine the general situation of the Monte Carlo collision generators used in the simulation of GAS and based on Gribov-Regge phenomenology. The particular circumstance of the diquark breaking mechanism has been involved in cascade simulation and some consequences are pointed out for Giant Extensive Air Showers (GAS). [Copyright &y& Elsevier]
Copyright of Nuclear Physics B Proceedings Supplement is the property of Elsevier B.V. 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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Header DbId: egs
DbLabel: Engineering Source
An: 11092038
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
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  Data: We examine the general situation of the Monte Carlo collision generators used in the simulation of GAS and based on Gribov-Regge phenomenology. The particular circumstance of the diquark breaking mechanism has been involved in cascade simulation and some consequences are pointed out for Giant Extensive Air Showers (GAS). [Copyright &y& Elsevier]
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  Data: <i>Copyright of Nuclear Physics B Proceedings Supplement is the property of Elsevier B.V. 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: 10.1016/S0920-5632(03)80427-9
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        Type: general
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              Text: Jul2003
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