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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4787FHS
Repositorysid.inpe.br/mtc-m21d/2022/07.06.14.28
Last Update2022:07.06.14.28.52 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/07.06.14.28.52
Metadata Last Update2023:01.03.16.46.09 (UTC) administrator
DOI10.3847/1538-4357/ac6fe4
ISSN0004-637X
1538-4357
Citation KeyRempelChDaSiWeCh:2022:RePhVe
TitleReconstruction of Photospheric Velocity Fields from Highly Corrupted Data
Year2022
MonthJuly
Access Date2024, May 14
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1452 KiB
2. Context
Author1 Rempel, Érico Luiz
2 Chertovskih, Roman
3 Davletshina, Kamilla R.
4 Silva, Suzana S. A.
5 Welsch, Brian T.
6 Chian, Abraham Chian Long
ORCID1 0000-0002-4971-5854
2 0000-0002-5179-4344
3
4
5 0000-0003-2244-641X
6 0000-0002-8932-0793
Group1 DIHPA-CGCE-INPE-MCTI-GOV-BR
2
3
4
5
6 DIHPA-CGCE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 University of Porto
3 Yandex
4 University of Sheffield
5 University of Wisconsin
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 rempel@ita.br
JournalAstrophysical Journal
Volume933
Number1
Pagese2
Secondary MarkA1_QUÍMICA A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_ASTRONOMIA_/_FÍSICA A2_ENGENHARIAS_IV B2_ENSINO
History (UTC)2022-07-06 14:28:52 :: simone -> administrator ::
2022-07-06 14:28:53 :: administrator -> simone :: 2022
2022-07-06 14:29:43 :: simone -> administrator :: 2022
2022-07-08 03:11:12 :: administrator -> simone :: 2022
2022-12-19 19:29:32 :: simone -> administrator :: 2022
2023-01-03 16:46:09 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractThe analysis of the photospheric velocity field is essential for understanding plasma turbulence in the solar surface, which may be responsible for driving processes such as magnetic reconnection, flares, wave propagation, particle acceleration, and coronal heating. Currently, the only available methods to estimate velocities at the solar photosphere transverse to an observer's line of sight infer flows from differences in image structure in successive observations. Due to data noise, algorithms such as local correlation tracking may lead to a vector field with wide gaps where no velocity vectors are provided. In this paper, a novel method for image inpainting of highly corrupted data is proposed and applied to the restoration of horizontal velocity fields in the solar photosphere. The restored velocity field preserves all the vector field components present in the original field. The method shows robustness when applied to both simulated and observational data.
AreaCEA
ArrangementReconstruction of Photospheric...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 06/07/2022 11:28 1.0 KiB 
4. Conditions of access and use
data URLhttp://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/4787FHS
zipped data URLhttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/4787FHS
Languageen
Target FileRempel_2022_ApJ_933_2.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KTFK8
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.17.52 2
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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