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Elastic net for stand-alone RICH ring finding

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Title: Elastic net for stand-alone RICH ring finding
Authors: Gorbunov, S.1 sgorboun@mail.desy.de, Kisel, I.2
Source: Nuclear Instruments & Methods in Physics Research Section A. Apr2006, Vol. 559 Issue 1, p139-142. 4p.
Subjects: Engineering instruments, Neural computers, Detectors, Cherenkov counters
Abstract: Abstract: The elastic neural net is implemented for finding rings in Cherenkov detector. The method does not require any prior track information and can be used for triggering. Application of the method to the RICH detector of the CBM experiment [CBM Collaboration, Compressed baryonic matter experiment, Technical Status Report, GSI, Darmstadt, 2005] shows very good efficiency and extremely high speed. [Copyright &y& Elsevier]
Copyright of Nuclear Instruments & Methods in Physics Research Section A 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: 20198605
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Elastic net for stand-alone RICH ring finding
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  Data: Abstract: The elastic neural net is implemented for finding rings in Cherenkov detector. The method does not require any prior track information and can be used for triggering. Application of the method to the RICH detector of the CBM experiment [CBM Collaboration, Compressed baryonic matter experiment, Technical Status Report, GSI, Darmstadt, 2005] shows very good efficiency and extremely high speed. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Nuclear Instruments & Methods in Physics Research Section A 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/j.nima.2005.11.215
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        Text: English
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      – SubjectFull: Neural computers
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      – SubjectFull: Detectors
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      – SubjectFull: Cherenkov counters
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      – TitleFull: Elastic net for stand-alone RICH ring finding
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              Text: Apr2006
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