Notice
This item was automatically migrated from a legacy system. It's data has not been checked and might not meet the quality criteria of the present system.
DC Field
Value
Language
dc.contributor.author
Soja, Benedikt
-
dc.contributor.author
Jacobs, Chris
-
dc.contributor.author
Gross, Richard
-
dc.contributor.author
Krasna, Hana
-
dc.contributor.author
Böhm, Johannes
-
dc.contributor.author
McCallum, Jamie
-
dc.contributor.author
Shabala, Stas
-
dc.contributor.author
McCallum, Lucia
-
dc.date.accessioned
2022-10-19T12:42:33Z
-
dc.date.available
2022-10-19T12:42:33Z
-
dc.date.issued
2018
-
dc.identifier.citation
<div class="csl-bib-body">
<div class="csl-entry">Soja, B., Jacobs, C., Gross, R., Krasna, H., Böhm, J., McCallum, J., Shabala, S., & McCallum, L. (2018). <i>Kalman filtering as a novel approach to determine celestial reference frames</i>. XXXth IAU Genral Assembly, Wien, Austria. http://hdl.handle.net/20.500.12708/83738</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/83738
-
dc.language.iso
en
-
dc.title
Kalman filtering as a novel approach to determine celestial reference frames
en
dc.type
Präsentation
de
dc.type
Presentation
en
dc.type.category
Poster Presentation
-
tuw.peerreviewed
false
-
tuw.publication.orgunit
E120-04 - Forschungsbereich Höhere Geodäsie
-
tuw.event.name
XXXth IAU Genral Assembly
en
tuw.event.startdate
20-08-2018
-
tuw.event.enddate
31-08-2018
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Wien
-
tuw.event.country
AT
-
tuw.event.presenter
Soja, Benedikt
-
wb.sciencebranch
Geodäsie, Vermessungswesen
-
wb.sciencebranch.oefos
2074
-
wb.facultyfocus
Integrierte Geodäsie und Geodynamik
de
wb.facultyfocus
Integrated Geodesy and Geodynamics
en
wb.facultyfocus.faculty
E100
-
item.grantfulltext
none
-
item.fulltext
no Fulltext
-
item.openairetype
conference poster not in proceedings
-
item.languageiso639-1
en
-
item.openairecristype
http://purl.org/coar/resource_type/c_18co
-
item.cerifentitytype
Publications
-
crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
