The temperature of nonspherical circumstellar dust grains View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2000-10

AUTHORS

N. V. Voshchinnikov, D. A. Semenov

ABSTRACT

The temperatures of prolate and oblate spheroidal dust grains in the envelopes of stars of various spectral types are calculated. Homogeneous particles with aspect ratios a/b≤10 composed of amorphous carbon, iron, dirty ice, various silicates, and other materials are considered. The temperatures of spherical and spheroidal particles were found to vary similarly with particle size, distance to the star, and stellar temperature. The temperature ratio Td(spheroid)/Td(sphere) depends most strongly on the grain chemical composition and shape. Spheroidal grains are generally colder than spherical particles of the same volume; only iron spheroids can be slightly hotter than iron spheres. At a/b≈2, the temperature differences do not exceed 10%. If a/b≥4, the temperatures can differ by 30–40%. For a fixed dust mass in the medium, the fluxes at wavelengths λ≥100 are higher if the grains are nonspherical, which gives overestimated dust masses from millimeter observations. The effect of grain shape should also be taken into account when modeling Galactic-dust emission properties, which are calculated when searching for fluctuations of the cosmic microwave background radiation in its Wien wing. More... »

PAGES

679-690

References to SciGraph publications

  • 1949-01. Brightness Variations of the Solar Corona in NATURE
  • 1993-06. Optical properties of spheroidal particles in ASTROPHYSICS AND SPACE SCIENCE
  • 1981. Dust Formation Processes Around Red Giants and Supergiants in PHYSICAL PROCESSES IN RED GIANTS
  • 1991-09. Mass loss mechanisms in evolved stars in THE ASTRONOMY AND ASTROPHYSICS REVIEW
  • 1987. Formation and Destruction of Dust Grains in Circumstellar Regions in CIRCUMSTELLAR MATTER
  • 1987-08. Optical properties of circumstellar silicates in the visible and the near-infrared in ASTROPHYSICS AND SPACE SCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1134/1.1316114

    DOI

    http://dx.doi.org/10.1134/1.1316114

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011216997


    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": "Saint Petersburg State University", 
              "id": "https://www.grid.ac/institutes/grid.15447.33", 
              "name": [
                "Sobolev Astronomical Institute, St. Petersburg State University, Bibliotechnaya pl. 2, 198904, St. Petersburg-Peterhof, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Voshchinnikov", 
            "givenName": "N. V.", 
            "id": "sg:person.0652717661.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652717661.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Saint Petersburg State University", 
              "id": "https://www.grid.ac/institutes/grid.15447.33", 
              "name": [
                "Sobolev Astronomical Institute, St. Petersburg State University, Bibliotechnaya pl. 2, 198904, St. Petersburg-Peterhof, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Semenov", 
            "givenName": "D. A.", 
            "id": "sg:person.013166203321.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013166203321.09"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-94-009-8492-9_33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021939963", 
              "https://doi.org/10.1007/978-94-009-8492-9_33"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/163024a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025395349", 
              "https://doi.org/10.1038/163024a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/163024a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025395349", 
              "https://doi.org/10.1038/163024a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0022-4073(99)00159-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029056757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-8711.1998.01813.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029522941"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00661261", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035593643", 
              "https://doi.org/10.1007/bf00661261"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00661261", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035593643", 
              "https://doi.org/10.1007/bf00661261"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00658095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044368996", 
              "https://doi.org/10.1007/bf00658095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00658095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044368996", 
              "https://doi.org/10.1007/bf00658095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00872769", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046345400", 
              "https://doi.org/10.1007/bf00872769"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1051/aas:1998134", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056941741"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1051/aas:1999222", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056942185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/111139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058449718"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/111784", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058450363"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/174318", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058505608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/174773", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058506063"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/178109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058509397"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/184437", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058513946"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/184720", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058514229"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/305809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058613331"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/308658", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058616177"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.109.2825.165", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062448683"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.109.2825.166", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062448684"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-009-3887-8_137", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089748871", 
              "https://doi.org/10.1007/978-94-009-3887-8_137"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1887/0750306246", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099112852"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2000-10", 
        "datePublishedReg": "2000-10-01", 
        "description": "The temperatures of prolate and oblate spheroidal dust grains in the envelopes of stars of various spectral types are calculated. Homogeneous particles with aspect ratios a/b\u226410 composed of amorphous carbon, iron, dirty ice, various silicates, and other materials are considered. The temperatures of spherical and spheroidal particles were found to vary similarly with particle size, distance to the star, and stellar temperature. The temperature ratio Td(spheroid)/Td(sphere) depends most strongly on the grain chemical composition and shape. Spheroidal grains are generally colder than spherical particles of the same volume; only iron spheroids can be slightly hotter than iron spheres. At a/b\u22482, the temperature differences do not exceed 10%. If a/b\u22654, the temperatures can differ by 30\u201340%. For a fixed dust mass in the medium, the fluxes at wavelengths \u03bb\u2265100 are higher if the grains are nonspherical, which gives overestimated dust masses from millimeter observations. The effect of grain shape should also be taken into account when modeling Galactic-dust emission properties, which are calculated when searching for fluctuations of the cosmic microwave background radiation in its Wien wing.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1134/1.1316114", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1136271", 
            "issn": [
              "0320-0108", 
              "0360-0327"
            ], 
            "name": "Astronomy Letters", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "10", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "26"
          }
        ], 
        "name": "The temperature of nonspherical circumstellar dust grains", 
        "pagination": "679-690", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "35712758b92f06b213048e86966e39c7e34dc528a900b3a1b7ecb67dcc3e66e4"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1134/1.1316114"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1011216997"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1134/1.1316114", 
          "https://app.dimensions.ai/details/publication/pub.1011216997"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:34", 
        "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_8687_00000498.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1134/1.1316114"
      }
    ]
     

    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.10.1134/1.1316114'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/1.1316114'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/1.1316114'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/1.1316114'


     

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

    140 TRIPLES      21 PREDICATES      49 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1134/1.1316114 schema:about anzsrc-for:02
    2 anzsrc-for:0201
    3 schema:author N2d0bac21582340afb9862b6bac7bc236
    4 schema:citation sg:pub.10.1007/978-94-009-3887-8_137
    5 sg:pub.10.1007/978-94-009-8492-9_33
    6 sg:pub.10.1007/bf00658095
    7 sg:pub.10.1007/bf00661261
    8 sg:pub.10.1007/bf00872769
    9 sg:pub.10.1038/163024a0
    10 https://doi.org/10.1016/s0022-4073(99)00159-4
    11 https://doi.org/10.1046/j.1365-8711.1998.01813.x
    12 https://doi.org/10.1051/aas:1998134
    13 https://doi.org/10.1051/aas:1999222
    14 https://doi.org/10.1086/111139
    15 https://doi.org/10.1086/111784
    16 https://doi.org/10.1086/174318
    17 https://doi.org/10.1086/174773
    18 https://doi.org/10.1086/178109
    19 https://doi.org/10.1086/184437
    20 https://doi.org/10.1086/184720
    21 https://doi.org/10.1086/305809
    22 https://doi.org/10.1086/308658
    23 https://doi.org/10.1126/science.109.2825.165
    24 https://doi.org/10.1126/science.109.2825.166
    25 https://doi.org/10.1887/0750306246
    26 schema:datePublished 2000-10
    27 schema:datePublishedReg 2000-10-01
    28 schema:description The temperatures of prolate and oblate spheroidal dust grains in the envelopes of stars of various spectral types are calculated. Homogeneous particles with aspect ratios a/b≤10 composed of amorphous carbon, iron, dirty ice, various silicates, and other materials are considered. The temperatures of spherical and spheroidal particles were found to vary similarly with particle size, distance to the star, and stellar temperature. The temperature ratio Td(spheroid)/Td(sphere) depends most strongly on the grain chemical composition and shape. Spheroidal grains are generally colder than spherical particles of the same volume; only iron spheroids can be slightly hotter than iron spheres. At a/b≈2, the temperature differences do not exceed 10%. If a/b≥4, the temperatures can differ by 30–40%. For a fixed dust mass in the medium, the fluxes at wavelengths λ≥100 are higher if the grains are nonspherical, which gives overestimated dust masses from millimeter observations. The effect of grain shape should also be taken into account when modeling Galactic-dust emission properties, which are calculated when searching for fluctuations of the cosmic microwave background radiation in its Wien wing.
    29 schema:genre research_article
    30 schema:inLanguage en
    31 schema:isAccessibleForFree true
    32 schema:isPartOf N989bdfc5a2e3430eac1c32a17b3f1c52
    33 Na139d9afa7bf4afab749475470f65f10
    34 sg:journal.1136271
    35 schema:name The temperature of nonspherical circumstellar dust grains
    36 schema:pagination 679-690
    37 schema:productId N87ed10fc684e4bb089a770e3b421c670
    38 Nbb1abd0d5ce64759b7f0cf4ffce00a89
    39 Ne7541301a3a64158bd42bffb7ab6542c
    40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011216997
    41 https://doi.org/10.1134/1.1316114
    42 schema:sdDatePublished 2019-04-10T21:34
    43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    44 schema:sdPublisher N32df3046dee54818af12d1e03760571f
    45 schema:url http://link.springer.com/10.1134/1.1316114
    46 sgo:license sg:explorer/license/
    47 sgo:sdDataset articles
    48 rdf:type schema:ScholarlyArticle
    49 N2d0bac21582340afb9862b6bac7bc236 rdf:first sg:person.0652717661.40
    50 rdf:rest N6efc1a17990640ee9c2b066305e209a7
    51 N32df3046dee54818af12d1e03760571f schema:name Springer Nature - SN SciGraph project
    52 rdf:type schema:Organization
    53 N6efc1a17990640ee9c2b066305e209a7 rdf:first sg:person.013166203321.09
    54 rdf:rest rdf:nil
    55 N87ed10fc684e4bb089a770e3b421c670 schema:name doi
    56 schema:value 10.1134/1.1316114
    57 rdf:type schema:PropertyValue
    58 N989bdfc5a2e3430eac1c32a17b3f1c52 schema:volumeNumber 26
    59 rdf:type schema:PublicationVolume
    60 Na139d9afa7bf4afab749475470f65f10 schema:issueNumber 10
    61 rdf:type schema:PublicationIssue
    62 Nbb1abd0d5ce64759b7f0cf4ffce00a89 schema:name dimensions_id
    63 schema:value pub.1011216997
    64 rdf:type schema:PropertyValue
    65 Ne7541301a3a64158bd42bffb7ab6542c schema:name readcube_id
    66 schema:value 35712758b92f06b213048e86966e39c7e34dc528a900b3a1b7ecb67dcc3e66e4
    67 rdf:type schema:PropertyValue
    68 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
    69 schema:name Physical Sciences
    70 rdf:type schema:DefinedTerm
    71 anzsrc-for:0201 schema:inDefinedTermSet anzsrc-for:
    72 schema:name Astronomical and Space Sciences
    73 rdf:type schema:DefinedTerm
    74 sg:journal.1136271 schema:issn 0320-0108
    75 0360-0327
    76 schema:name Astronomy Letters
    77 rdf:type schema:Periodical
    78 sg:person.013166203321.09 schema:affiliation https://www.grid.ac/institutes/grid.15447.33
    79 schema:familyName Semenov
    80 schema:givenName D. A.
    81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013166203321.09
    82 rdf:type schema:Person
    83 sg:person.0652717661.40 schema:affiliation https://www.grid.ac/institutes/grid.15447.33
    84 schema:familyName Voshchinnikov
    85 schema:givenName N. V.
    86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652717661.40
    87 rdf:type schema:Person
    88 sg:pub.10.1007/978-94-009-3887-8_137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089748871
    89 https://doi.org/10.1007/978-94-009-3887-8_137
    90 rdf:type schema:CreativeWork
    91 sg:pub.10.1007/978-94-009-8492-9_33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021939963
    92 https://doi.org/10.1007/978-94-009-8492-9_33
    93 rdf:type schema:CreativeWork
    94 sg:pub.10.1007/bf00658095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044368996
    95 https://doi.org/10.1007/bf00658095
    96 rdf:type schema:CreativeWork
    97 sg:pub.10.1007/bf00661261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035593643
    98 https://doi.org/10.1007/bf00661261
    99 rdf:type schema:CreativeWork
    100 sg:pub.10.1007/bf00872769 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046345400
    101 https://doi.org/10.1007/bf00872769
    102 rdf:type schema:CreativeWork
    103 sg:pub.10.1038/163024a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025395349
    104 https://doi.org/10.1038/163024a0
    105 rdf:type schema:CreativeWork
    106 https://doi.org/10.1016/s0022-4073(99)00159-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029056757
    107 rdf:type schema:CreativeWork
    108 https://doi.org/10.1046/j.1365-8711.1998.01813.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029522941
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.1051/aas:1998134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056941741
    111 rdf:type schema:CreativeWork
    112 https://doi.org/10.1051/aas:1999222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056942185
    113 rdf:type schema:CreativeWork
    114 https://doi.org/10.1086/111139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058449718
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1086/111784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058450363
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1086/174318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058505608
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1086/174773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058506063
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1086/178109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058509397
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1086/184437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058513946
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1086/184720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058514229
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1086/305809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058613331
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1086/308658 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058616177
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1126/science.109.2825.165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062448683
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1126/science.109.2825.166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062448684
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1887/0750306246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099112852
    137 rdf:type schema:CreativeWork
    138 https://www.grid.ac/institutes/grid.15447.33 schema:alternateName Saint Petersburg State University
    139 schema:name Sobolev Astronomical Institute, St. Petersburg State University, Bibliotechnaya pl. 2, 198904, St. Petersburg-Peterhof, Russia
    140 rdf:type schema:Organization
     




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


    ...