Home > Publications database > DESTINY: Database for the Effects of STellar encounters on dIsks and plaNetary sYstems > print

001     865455
005     20210130003045.0
024 7 _ |a 10.1186/s40668-019-0030-3
|2 doi
024 7 _ |a 2128/23066
|2 Handle
024 7 _ |a altmetric:66314848
|2 altmetric
037 _ _ |a FZJ-2019-04905
082 _ _ |a 530
100 1 _ |a Bhandare, Asmita
|0 0000-0002-1197-3946
|b 0
|e Corresponding author
245 _ _ |a DESTINY: Database for the Effects of STellar encounters on dIsks and plaNetary sYstems
260 _ _ |a New York, NY [u.a.]
|c 2019
|b Springer international
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1570445429_2024
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Most stars form as part of a stellar group. These young stars are mostly surrounded by a disk from which potentially a planetary system might form. Both, the disk and later on the planetary system, may be affected by the cluster environment due to close fly-bys. The here presented database can be used to determine the gravitational effect of such fly-bys on non-viscous disks and planetary systems. The database contains data for fly-by scenarios spanning mass ratios between the perturber and host star from 0.3 to 50.0, periastron distances from 30 au to 1000 au, orbital inclination from 0∘ to 180∘ and angle of periastron of 0∘, 45∘ and 90∘. Thus covering a wide parameter space relevant for fly-bys in stellar clusters. The data can either be downloaded to perform one's own diagnostics like for e.g. determining disk size, disk mass, etc. after specific encounters, obtain parameter dependencies or the different particle properties can be visualized interactively. Currently the database is restricted to fly-bys on parabolic orbits, but it will be extended to hyperbolic orbits in the future. All of the data from this extensive parameter study is now publicly available as DESTINY.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Pfalzner, Susanne
|0 P:(DE-Juel1)177668
|b 1
773 _ _ |a 10.1186/s40668-019-0030-3
|g Vol. 6, no. 1, p. 3
|0 PERI:(DE-600)2806586-4
|n 1
|p 3
|t Computational Astrophysics and Cosmology
|v 6
|y 2019
|x 2197-7909
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/865455/files/1909.08404.pdf
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/865455/files/s40668-019-0030-3.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/865455/files/1909.08404.pdf?subformat=pdfa
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/865455/files/s40668-019-0030-3.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:865455
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)177668
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2019
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21