000423251 001__ 423251
000423251 005__ 20250716154047.0
000423251 0247_ $$2doi$$a10.1088/1748-0221/14/06/P06021
000423251 0247_ $$2datacite_doi$$a10.3204/PUBDB-2019-02509
000423251 0247_ $$2WOS$$aWOS:000472134700010
000423251 0247_ $$2inspire$$ainspire:1740522
000423251 0247_ $$2arXiv$$aarXiv:1906.08055
000423251 0247_ $$2openalex$$aopenalex:W2952192952
000423251 037__ $$aPUBDB-2019-02509
000423251 041__ $$aEnglish
000423251 082__ $$a610
000423251 0881_ $$aarXiv:1906.08055; DESY-19-009
000423251 088__ $$2arXiv$$aarXiv:1906.08055
000423251 088__ $$2DESY$$aDESY-19-009
000423251 1001_ $$0P:(DE-H253)PIP1007185$$aWenskat, Marc$$b0$$eCorresponding author
000423251 245__ $$aFirst Attempts in Automated Defect Recognition in Superconducting Radio-Frequency Cavities
000423251 260__ $$aLondon$$bInst. of Physics$$c2019
000423251 3367_ $$2DRIVER$$aarticle
000423251 3367_ $$2DataCite$$aOutput Types/Journal article
000423251 3367_ $$0PUB:(DE-HGF)29$$2PUB:(DE-HGF)$$aReport$$mreport
000423251 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1584434243_18417
000423251 3367_ $$2BibTeX$$aARTICLE
000423251 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000423251 3367_ $$00$$2EndNote$$aJournal Article
000423251 500__ $$a* Brief entry *arXiv admin note: text overlap with arXiv:1704.06080 ; publication: JINST 14 06 (2019) P06021 ; ;
000423251 520__ $$aThe inner surface of superconducting cavities plays a crucial role to achieve highest accelerating fields. The industrial fabrication of cavities for the European X-Ray Free Electron Laser (EXFEL) and the International Linear Collider (ILC) HiGrade Research Project allowed for an investigation of this interplay with a large sample on different cavities undergoing a standardized procedure. For the serial inspection of the inner surface, the optical inspection robot OBACHT was constructed and to analyze the large amount of data, represented in the images of the inner surface, an image processing and analysis code was developed. New variables to describe the cavity surface were obtained. Two approaches using these variables and images to automatically detect defects has been implemented and tested. In addition, a decision-tree based approach of classifying defect free surfaces regarding their accelerating performance was tested and found to be physically valid.
000423251 536__ $$0G:(DE-HGF)POF3-631$$a631 - Accelerator R & D (POF3-631)$$cPOF3-631$$fPOF III$$x0
000423251 588__ $$aDataset connected to CrossRef
000423251 693__ $$0EXP:(DE-H253)TESLA-Test-Facility-20150101$$5EXP:(DE-H253)TESLA-Test-Facility-20150101$$eTESLA-Test-Facility$$x0
000423251 773__ $$0PERI:(DE-600)2235672-1$$a10.1088/1748-0221/14/06/P06021$$gVol. 14, no. 06, p. P06021 - P06021$$n3$$pP06021$$tJournal of Instrumentation$$v14$$x1748-0221$$y2019
000423251 8564_ $$uhttps://bib-pubdb1.desy.de/record/423251/files/Wenskat_2019_J._Inst._14_P06021.pdf$$yOpenAccess
000423251 8564_ $$uhttps://bib-pubdb1.desy.de/record/423251/files/Wenskat_2019_J._Inst._14_P06021.gif?subformat=icon$$xicon$$yOpenAccess
000423251 8564_ $$uhttps://bib-pubdb1.desy.de/record/423251/files/Wenskat_2019_J._Inst._14_P06021.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
000423251 8564_ $$uhttps://bib-pubdb1.desy.de/record/423251/files/Wenskat_2019_J._Inst._14_P06021.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000423251 8564_ $$uhttps://bib-pubdb1.desy.de/record/423251/files/Wenskat_2019_J._Inst._14_P06021.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000423251 8564_ $$uhttps://bib-pubdb1.desy.de/record/423251/files/Wenskat_2019_J._Inst._14_P06021.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000423251 8767_ $$88124025$$92019-06-18$$d2019-06-19$$eHybrid-OA$$jZahlung erfolgt$$pJINS_055P_0319$$zMS
000423251 909CO $$ooai:bib-pubdb1.desy.de:423251$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire
000423251 9101_ $$0I:(DE-588b)2008985-5$$6P:(DE-H253)PIP1007185$$aDeutsches Elektronen-Synchrotron$$b0$$kDESY
000423251 9131_ $$0G:(DE-HGF)POF3-631$$1G:(DE-HGF)POF3-630$$2G:(DE-HGF)POF3-600$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bForschungsbereich Materie$$lMaterie und Technologie$$vAccelerator R & D$$x0
000423251 9141_ $$y2019
000423251 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000423251 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000423251 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ INSTRUM : 2017
000423251 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000423251 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000423251 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000423251 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000423251 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000423251 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000423251 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000423251 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000423251 9201_ $$0I:(DE-H253)UNI_EXP-20120731$$kUNI/EXP$$lUni Hamburg / Experimentalphysik$$x0
000423251 9201_ $$0I:(DE-H253)FLA-20120731$$kFLA$$lForschung Linear Accelerator$$x1
000423251 980__ $$ajournal
000423251 980__ $$aVDB
000423251 980__ $$aUNRESTRICTED
000423251 980__ $$areport
000423251 980__ $$aI:(DE-H253)UNI_EXP-20120731
000423251 980__ $$aI:(DE-H253)FLA-20120731
000423251 980__ $$aAPC
000423251 9801_ $$aAPC
000423251 9801_ $$aFullTexts