Matches in SemOpenAlex for { <https://semopenalex.org/work/W1985502453> ?p ?o ?g. }
- W1985502453 endingPage "3295" @default.
- W1985502453 startingPage "3279" @default.
- W1985502453 abstract "The continuous stream of data available from the Atmospheric Imaging Assembly (AIA) telescopes onboard the Solar Dynamics Observatory (SDO) spacecraft has allowed a deeper understanding of the Sun. However, the sheer volume of data has necessitated the development of automated techniques to identify and analyse various phenomena. In this article, we describe the Coronal Pulse Identification and Tracking Algorithm (CorPITA) for the identification and analysis of coronal EIT waves. CorPITA uses an intensity-profile technique to identify the propagating pulse, tracking it throughout its evolution before returning estimates of its kinematics. The algorithm is applied here to a data-set from February 2011, allowing its capabilities to be examined and critiqued. This algorithm forms part of the SDO Feature Finding Team initiative and will be implemented as part of the Heliophysics Event Knowledgebase (HEK). This is the first fully automated algorithm to identify and track the propagating EIT wave rather than any associated phenomena and will allow a deeper understanding of this controversial phenomenon." @default.
- W1985502453 created "2016-06-24" @default.
- W1985502453 creator A5015248371 @default.
- W1985502453 creator A5027096810 @default.
- W1985502453 creator A5059819563 @default.
- W1985502453 creator A5060445922 @default.
- W1985502453 date "2014-04-24" @default.
- W1985502453 modified "2023-10-16" @default.
- W1985502453 title "CorPITA: An Automated Algorithm for the Identification and Analysis of Coronal “EIT Waves”" @default.
- W1985502453 cites W1663649304 @default.
- W1985502453 cites W1975274598 @default.
- W1985502453 cites W1978882943 @default.
- W1985502453 cites W1982124772 @default.
- W1985502453 cites W1983758133 @default.
- W1985502453 cites W1991498517 @default.
- W1985502453 cites W1993433824 @default.
- W1985502453 cites W1994934333 @default.
- W1985502453 cites W1996417375 @default.
- W1985502453 cites W1998703072 @default.
- W1985502453 cites W2003032110 @default.
- W1985502453 cites W2029413746 @default.
- W1985502453 cites W2032237101 @default.
- W1985502453 cites W2038989240 @default.
- W1985502453 cites W2039566826 @default.
- W1985502453 cites W2052944065 @default.
- W1985502453 cites W2054482383 @default.
- W1985502453 cites W2059901321 @default.
- W1985502453 cites W2060756091 @default.
- W1985502453 cites W2061640709 @default.
- W1985502453 cites W2064875064 @default.
- W1985502453 cites W2069262502 @default.
- W1985502453 cites W2076955578 @default.
- W1985502453 cites W2080068151 @default.
- W1985502453 cites W2081907750 @default.
- W1985502453 cites W2087848286 @default.
- W1985502453 cites W2091510061 @default.
- W1985502453 cites W2092591882 @default.
- W1985502453 cites W2094483427 @default.
- W1985502453 cites W2098078749 @default.
- W1985502453 cites W2105456565 @default.
- W1985502453 cites W2110143002 @default.
- W1985502453 cites W2135649266 @default.
- W1985502453 cites W2142234851 @default.
- W1985502453 cites W2151134409 @default.
- W1985502453 cites W3098427798 @default.
- W1985502453 cites W3099306647 @default.
- W1985502453 cites W3100334795 @default.
- W1985502453 cites W3101163788 @default.
- W1985502453 cites W3101283503 @default.
- W1985502453 cites W3104353639 @default.
- W1985502453 cites W3105021704 @default.
- W1985502453 cites W4239145522 @default.
- W1985502453 cites W4245192593 @default.
- W1985502453 doi "https://doi.org/10.1007/s11207-014-0527-5" @default.
- W1985502453 hasPublicationYear "2014" @default.
- W1985502453 type Work @default.
- W1985502453 sameAs 1985502453 @default.
- W1985502453 citedByCount "23" @default.
- W1985502453 countsByYear W19855024532014 @default.
- W1985502453 countsByYear W19855024532015 @default.
- W1985502453 countsByYear W19855024532016 @default.
- W1985502453 countsByYear W19855024532017 @default.
- W1985502453 countsByYear W19855024532018 @default.
- W1985502453 countsByYear W19855024532019 @default.
- W1985502453 countsByYear W19855024532021 @default.
- W1985502453 countsByYear W19855024532022 @default.
- W1985502453 crossrefType "journal-article" @default.
- W1985502453 hasAuthorship W1985502453A5015248371 @default.
- W1985502453 hasAuthorship W1985502453A5027096810 @default.
- W1985502453 hasAuthorship W1985502453A5059819563 @default.
- W1985502453 hasAuthorship W1985502453A5060445922 @default.
- W1985502453 hasBestOaLocation W19855024532 @default.
- W1985502453 hasConcept C11413529 @default.
- W1985502453 hasConcept C116834253 @default.
- W1985502453 hasConcept C121332964 @default.
- W1985502453 hasConcept C1276947 @default.
- W1985502453 hasConcept C15744967 @default.
- W1985502453 hasConcept C177264268 @default.
- W1985502453 hasConcept C19417346 @default.
- W1985502453 hasConcept C199360897 @default.
- W1985502453 hasConcept C2775936607 @default.
- W1985502453 hasConcept C2779919027 @default.
- W1985502453 hasConcept C29829512 @default.
- W1985502453 hasConcept C41008148 @default.
- W1985502453 hasConcept C44870925 @default.
- W1985502453 hasConcept C59822182 @default.
- W1985502453 hasConcept C86803240 @default.
- W1985502453 hasConceptScore W1985502453C11413529 @default.
- W1985502453 hasConceptScore W1985502453C116834253 @default.
- W1985502453 hasConceptScore W1985502453C121332964 @default.
- W1985502453 hasConceptScore W1985502453C1276947 @default.
- W1985502453 hasConceptScore W1985502453C15744967 @default.
- W1985502453 hasConceptScore W1985502453C177264268 @default.
- W1985502453 hasConceptScore W1985502453C19417346 @default.
- W1985502453 hasConceptScore W1985502453C199360897 @default.
- W1985502453 hasConceptScore W1985502453C2775936607 @default.
- W1985502453 hasConceptScore W1985502453C2779919027 @default.
- W1985502453 hasConceptScore W1985502453C29829512 @default.