Internal Structure Models and Dynamical Parameters of the Galilean Satellites View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-09

AUTHORS

Hong Zhang

ABSTRACT

Radio Doppler data generated by the Deep Space Network (DSN) from the recent encounters of the Galileo spacecraft with the Galilean satellites have been used to determine the mass (GM) and unnormalized quadruple gravity coefficients in the external gravitational fields of the Galilean satellites. Therefore, a series of internal structure models, which satisfy the given constraints for the mean density and the mean moment of inertia, can be presented by solving Emden equations. And some dynamical parameters can also be calculated based on the density distributions given by internal structure models. More... »

PAGES

189-195

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1026188029324

DOI

http://dx.doi.org/10.1023/a:1026188029324

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050160682


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0201", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Astronomical and Space Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Nanjing University", 
          "id": "https://www.grid.ac/institutes/grid.41156.37", 
          "name": [
            "Department of Astronomy, Nanjing University, 22 Hankou Road, 210093, Nanjing, P.R. China, e-mail"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Hong", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1006/icar.2001.6664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004594667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2000je001367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010803725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/icar.1999.6129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024020924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0019-1035(90)90119-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025834509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0019-1035(90)90119-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025834509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/icar.2001.6611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027175259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00643786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032671001", 
          "https://doi.org/10.1007/bf00643786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00643786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032671001", 
          "https://doi.org/10.1007/bf00643786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00643786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032671001", 
          "https://doi.org/10.1007/bf00643786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/384541a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039369561", 
          "https://doi.org/10.1038/384541a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/384537a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043814069", 
          "https://doi.org/10.1038/384537a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/icar.2002.6828", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046698218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00056285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050376184", 
          "https://doi.org/10.1007/bf00056285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00056285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050376184", 
          "https://doi.org/10.1007/bf00056285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1009-9271/1/3/275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059130760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.281.5385.2019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062562572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.286.5437.77", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062566791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.289.5483.1305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062570741"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003-09", 
    "datePublishedReg": "2003-09-01", 
    "description": "Radio Doppler data generated by the Deep Space Network (DSN) from the recent encounters of the Galileo spacecraft with the Galilean satellites have been used to determine the mass (GM) and unnormalized quadruple gravity coefficients in the external gravitational fields of the Galilean satellites. Therefore, a series of internal structure models, which satisfy the given constraints for the mean density and the mean moment of inertia, can be presented by solving Emden equations. And some dynamical parameters can also be calculated based on the density distributions given by internal structure models.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1026188029324", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136436", 
        "issn": [
          "0008-8714", 
          "0923-2958"
        ], 
        "name": "Celestial Mechanics and Dynamical Astronomy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "87"
      }
    ], 
    "name": "Internal Structure Models and Dynamical Parameters of the Galilean Satellites", 
    "pagination": "189-195", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "eef34ac84b7d4ca801f26df6ff399e9246af0be9728c699764b7f3147bc622fe"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1026188029324"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050160682"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1026188029324", 
      "https://app.dimensions.ai/details/publication/pub.1050160682"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:06", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000508.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023%2FA%3A1026188029324"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1023/a:1026188029324'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1026188029324'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1026188029324'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1026188029324'


 

This table displays all metadata directly associated to this object as RDF triples.

106 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1026188029324 schema:about anzsrc-for:02
2 anzsrc-for:0201
3 schema:author N40d59f3a64084aac89d186ea058c4263
4 schema:citation sg:pub.10.1007/bf00056285
5 sg:pub.10.1007/bf00643786
6 sg:pub.10.1038/384537a0
7 sg:pub.10.1038/384541a0
8 https://doi.org/10.1006/icar.1999.6129
9 https://doi.org/10.1006/icar.2001.6611
10 https://doi.org/10.1006/icar.2001.6664
11 https://doi.org/10.1006/icar.2002.6828
12 https://doi.org/10.1016/0019-1035(90)90119-t
13 https://doi.org/10.1029/2000je001367
14 https://doi.org/10.1088/1009-9271/1/3/275
15 https://doi.org/10.1126/science.281.5385.2019
16 https://doi.org/10.1126/science.286.5437.77
17 https://doi.org/10.1126/science.289.5483.1305
18 schema:datePublished 2003-09
19 schema:datePublishedReg 2003-09-01
20 schema:description Radio Doppler data generated by the Deep Space Network (DSN) from the recent encounters of the Galileo spacecraft with the Galilean satellites have been used to determine the mass (GM) and unnormalized quadruple gravity coefficients in the external gravitational fields of the Galilean satellites. Therefore, a series of internal structure models, which satisfy the given constraints for the mean density and the mean moment of inertia, can be presented by solving Emden equations. And some dynamical parameters can also be calculated based on the density distributions given by internal structure models.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N2486907de2d14dee9d50420731eec2be
25 N87ce2d1550454455a9d9cb68ca89d9fe
26 sg:journal.1136436
27 schema:name Internal Structure Models and Dynamical Parameters of the Galilean Satellites
28 schema:pagination 189-195
29 schema:productId Nb7b661615f7c4e5d838532bf29628475
30 Ne32cae731e194e74b6541662793404c9
31 Nfa4345c9d14b4466a281f5fde8035811
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050160682
33 https://doi.org/10.1023/a:1026188029324
34 schema:sdDatePublished 2019-04-11T01:06
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N79348389606a4807b8b29c58788de6c6
37 schema:url http://link.springer.com/10.1023%2FA%3A1026188029324
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N2486907de2d14dee9d50420731eec2be schema:volumeNumber 87
42 rdf:type schema:PublicationVolume
43 N40d59f3a64084aac89d186ea058c4263 rdf:first N84772137a5c74d0f8473d0ad54c4b9f0
44 rdf:rest rdf:nil
45 N79348389606a4807b8b29c58788de6c6 schema:name Springer Nature - SN SciGraph project
46 rdf:type schema:Organization
47 N84772137a5c74d0f8473d0ad54c4b9f0 schema:affiliation https://www.grid.ac/institutes/grid.41156.37
48 schema:familyName Zhang
49 schema:givenName Hong
50 rdf:type schema:Person
51 N87ce2d1550454455a9d9cb68ca89d9fe schema:issueNumber 1-2
52 rdf:type schema:PublicationIssue
53 Nb7b661615f7c4e5d838532bf29628475 schema:name doi
54 schema:value 10.1023/a:1026188029324
55 rdf:type schema:PropertyValue
56 Ne32cae731e194e74b6541662793404c9 schema:name readcube_id
57 schema:value eef34ac84b7d4ca801f26df6ff399e9246af0be9728c699764b7f3147bc622fe
58 rdf:type schema:PropertyValue
59 Nfa4345c9d14b4466a281f5fde8035811 schema:name dimensions_id
60 schema:value pub.1050160682
61 rdf:type schema:PropertyValue
62 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
63 schema:name Physical Sciences
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0201 schema:inDefinedTermSet anzsrc-for:
66 schema:name Astronomical and Space Sciences
67 rdf:type schema:DefinedTerm
68 sg:journal.1136436 schema:issn 0008-8714
69 0923-2958
70 schema:name Celestial Mechanics and Dynamical Astronomy
71 rdf:type schema:Periodical
72 sg:pub.10.1007/bf00056285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050376184
73 https://doi.org/10.1007/bf00056285
74 rdf:type schema:CreativeWork
75 sg:pub.10.1007/bf00643786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032671001
76 https://doi.org/10.1007/bf00643786
77 rdf:type schema:CreativeWork
78 sg:pub.10.1038/384537a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043814069
79 https://doi.org/10.1038/384537a0
80 rdf:type schema:CreativeWork
81 sg:pub.10.1038/384541a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039369561
82 https://doi.org/10.1038/384541a0
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1006/icar.1999.6129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024020924
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1006/icar.2001.6611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027175259
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1006/icar.2001.6664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004594667
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1006/icar.2002.6828 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046698218
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/0019-1035(90)90119-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1025834509
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1029/2000je001367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010803725
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1088/1009-9271/1/3/275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059130760
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1126/science.281.5385.2019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062562572
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1126/science.286.5437.77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062566791
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1126/science.289.5483.1305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062570741
103 rdf:type schema:CreativeWork
104 https://www.grid.ac/institutes/grid.41156.37 schema:alternateName Nanjing University
105 schema:name Department of Astronomy, Nanjing University, 22 Hankou Road, 210093, Nanjing, P.R. China, e-mail
106 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...