PynPoint: a modular pipeline architecture for processing and analysis of high-contrast imaging data
dc.contributor.author
Stolker, Tomas
dc.contributor.author
Bonse, Markus J.
dc.contributor.author
Quanz, Sascha P.
dc.contributor.author
Amara, Adam
dc.contributor.author
Cugno, Gabriele
dc.contributor.author
Bohn, Alexander J.
dc.contributor.author
Boehle, Anna
dc.date.accessioned
2020-02-19T13:48:41Z
dc.date.available
2020-02-19T13:48:41Z
dc.date.issued
2019-01
dc.identifier.issn
0004-6361
dc.identifier.issn
1432-0746
dc.identifier.other
10.1051/0004-6361/201834136
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/400459
dc.language.iso
en
en_US
dc.publisher
EDP Sciences
en_US
dc.subject
Methods: data analysis
en_US
dc.subject
Techniques: high angular resolution
en_US
dc.subject
Techniques: image processing
en_US
dc.subject
Planets and satellites: detection
en_US
dc.title
PynPoint: a modular pipeline architecture for processing and analysis of high-contrast imaging data
en_US
dc.type
Journal Article
dc.date.published
2019-01-08
ethz.journal.title
Astronomy & Astrophysics
ethz.journal.volume
621
en_US
ethz.journal.abbreviated
Astron. Astrophys.
ethz.pages.start
A59
en_US
ethz.size
16 p.
en_US
ethz.grant
Optimizing and exploiting high-contrast imaging at 3-5 micron for the direct detection of extrasolar planets
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Les Ulis
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02010 - Dep. Physik / Dep. of Physics::02532 - Institut für Teilchen- und Astrophysik / Inst. Particle Physics and Astrophysics::09680 - Quanz, Sascha Patrick / Quanz, Sascha Patrick
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02010 - Dep. Physik / Dep. of Physics::02532 - Institut für Teilchen- und Astrophysik / Inst. Particle Physics and Astrophysics::09680 - Quanz, Sascha Patrick / Quanz, Sascha Patrick
ethz.grant.agreementno
169131
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projekte MINT
ethz.date.deposited
2019-01-18T04:20:23Z
ethz.source
FORM
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-02-19T13:48:49Z
ethz.rosetta.lastUpdated
2022-03-29T01:01:50Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/319376.2
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/317092.1
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/319376
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/322093
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/392614
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/317092
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Journal Article [130376]