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Error Modeling of a Fast Digital Integrator for Magnetic Measurements at CERN

A statistical behavioral modeling approach for assessing dynamic metrological performance during the concept design of accurate digitizers is proposed. A surface-response approach based on statistical experiment design is exploited in order to avoid unrealistic hypothesis of linearity, optimize simu...

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Detalles Bibliográficos
Autores principales: Arpaia, Pasquale, Inglese, Vitaliano, Spiezia, Giovanni, Tiso, Stefano
Lenguaje:eng
Publicado: 2007
Materias:
Acceso en línea:https://dx.doi.org/10.1109/IMTC.2007.379048
http://cds.cern.ch/record/1092665
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author Arpaia, Pasquale
Inglese, Vitaliano
Spiezia, Giovanni
Tiso, Stefano
author_facet Arpaia, Pasquale
Inglese, Vitaliano
Spiezia, Giovanni
Tiso, Stefano
author_sort Arpaia, Pasquale
collection CERN
description A statistical behavioral modeling approach for assessing dynamic metrological performance during the concept design of accurate digitizers is proposed. A surface-response approach based on statistical experiment design is exploited in order to avoid unrealistic hypothesis of linearity, optimize simulation effort, explore systematically operating conditions, and verify identification and validation uncertainty. An actual case study on the dynamic metrological characterization of a Fast Digital Integrator for highperformance magnetic measurements at European Organization for Nuclear Research (CERN) is presented.
id cern-1092665
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2007
record_format invenio
spelling cern-10926652019-09-30T06:29:59Zdoi:10.1109/IMTC.2007.379048http://cds.cern.ch/record/1092665engArpaia, PasqualeInglese, VitalianoSpiezia, GiovanniTiso, StefanoError Modeling of a Fast Digital Integrator for Magnetic Measurements at CERNAccelerators and Storage RingsA statistical behavioral modeling approach for assessing dynamic metrological performance during the concept design of accurate digitizers is proposed. A surface-response approach based on statistical experiment design is exploited in order to avoid unrealistic hypothesis of linearity, optimize simulation effort, explore systematically operating conditions, and verify identification and validation uncertainty. An actual case study on the dynamic metrological characterization of a Fast Digital Integrator for highperformance magnetic measurements at European Organization for Nuclear Research (CERN) is presented.CERN-AT-2007-028-MTMoai:cds.cern.ch:10926652007-08-30
spellingShingle Accelerators and Storage Rings
Arpaia, Pasquale
Inglese, Vitaliano
Spiezia, Giovanni
Tiso, Stefano
Error Modeling of a Fast Digital Integrator for Magnetic Measurements at CERN
title Error Modeling of a Fast Digital Integrator for Magnetic Measurements at CERN
title_full Error Modeling of a Fast Digital Integrator for Magnetic Measurements at CERN
title_fullStr Error Modeling of a Fast Digital Integrator for Magnetic Measurements at CERN
title_full_unstemmed Error Modeling of a Fast Digital Integrator for Magnetic Measurements at CERN
title_short Error Modeling of a Fast Digital Integrator for Magnetic Measurements at CERN
title_sort error modeling of a fast digital integrator for magnetic measurements at cern
topic Accelerators and Storage Rings
url https://dx.doi.org/10.1109/IMTC.2007.379048
http://cds.cern.ch/record/1092665
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AT inglesevitaliano errormodelingofafastdigitalintegratorformagneticmeasurementsatcern
AT spieziagiovanni errormodelingofafastdigitalintegratorformagneticmeasurementsatcern
AT tisostefano errormodelingofafastdigitalintegratorformagneticmeasurementsatcern