An improvement in ABIC-minimizing deconvolution for continuously measured magnetic remanence data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1998-01

AUTHORS

Hirokuni Oda, Hidetoshi Shibuya

ABSTRACT

Deconvolution of magnetic remanence which has been continuously measured along a long-core sample is improved by eliminating the disturbance of severe intensity variation confined to a narrow layer. The deconvolution is constrained by the smoothness of the magnetization measured by the L2-norm of second order difference. The previous model uses a single smoothness parameter for the entire sample and the optimum smoothness is obtained by minimizing ABIC (Akaike’s Bayesian Information Criterion), while an additional parameter is introduced in the modified scheme for a layer where intensity fluctuation is strong. The modified deconvolution scheme was applied to 5-mm interval magnetic remanence data for two sections of ODP Hole 767B. We assumed another smoothness for the uppermost 1.5 cm of Section 767B-6H1 where the coring disturbance is severe. For Section 767B-6H2, the Australasian microtektite layer (108–113 cm), where the magnetization intensity shows a strong peak, is expressed by a different smoothness parameter from other part. In both cases the minimum ABIC was lowered and the calculated error was reduced, demonstrating the improvement of the model by incorporating additional information other than magnetic remanence data in the prior distribution of the data. More... »

PAGES

15-22

References to SciGraph publications

  • 1980-02. Likelihood and the Bayes procedure in TRABAJOS DE ESTADÍSTICA Y DE INVESTIGACIÓN OPERATIVA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/bf03352082

    DOI

    http://dx.doi.org/10.1186/bf03352082

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023393177


    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/2008/0104", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Statistics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Mathematical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Geological Survey of Japan", 
              "id": "https://www.grid.ac/institutes/grid.466781.a", 
              "name": [
                "Marine Geology Department, Geological Survey of Japan, 305, Tsukuba, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Oda", 
            "givenName": "Hirokuni", 
            "id": "sg:person.015110571140.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015110571140.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kumamoto University", 
              "id": "https://www.grid.ac/institutes/grid.274841.c", 
              "name": [
                "Department of Earth Sciences, Kumamoto University, 860, Kumamoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shibuya", 
            "givenName": "Hidetoshi", 
            "id": "sg:person.012447370126.79", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012447370126.79"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1029/gl001i004p00185", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000797452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/95jb02811", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024882266"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5636/jgg.46.613", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034124011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-246x.1991.tb05693.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039214196"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-246x.1991.tb05693.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039214196"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02888350", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040070636", 
              "https://doi.org/10.1007/bf02888350"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02888350", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040070636", 
              "https://doi.org/10.1007/bf02888350"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0012-821x(92)90192-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046763411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0012-821x(92)90192-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046763411"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1998-01", 
        "datePublishedReg": "1998-01-01", 
        "description": "Deconvolution of magnetic remanence which has been continuously measured along a long-core sample is improved by eliminating the disturbance of severe intensity variation confined to a narrow layer. The deconvolution is constrained by the smoothness of the magnetization measured by the L2-norm of second order difference. The previous model uses a single smoothness parameter for the entire sample and the optimum smoothness is obtained by minimizing ABIC (Akaike\u2019s Bayesian Information Criterion), while an additional parameter is introduced in the modified scheme for a layer where intensity fluctuation is strong. The modified deconvolution scheme was applied to 5-mm interval magnetic remanence data for two sections of ODP Hole 767B. We assumed another smoothness for the uppermost 1.5 cm of Section 767B-6H1 where the coring disturbance is severe. For Section 767B-6H2, the Australasian microtektite layer (108\u2013113 cm), where the magnetization intensity shows a strong peak, is expressed by a different smoothness parameter from other part. In both cases the minimum ABIC was lowered and the calculated error was reduced, demonstrating the improvement of the model by incorporating additional information other than magnetic remanence data in the prior distribution of the data.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/bf03352082", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1294798", 
            "issn": [
              "1343-8832", 
              "1880-5981"
            ], 
            "name": "Earth, Planets and Space", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "50"
          }
        ], 
        "name": "An improvement in ABIC-minimizing deconvolution for continuously measured magnetic remanence data", 
        "pagination": "15-22", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "6f73b1ef7efe2bd9e1e39ac774b01a98798a15cbd41d274b16349be286786da7"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/bf03352082"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1023393177"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/bf03352082", 
          "https://app.dimensions.ai/details/publication/pub.1023393177"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T13:16", 
        "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_8659_00000512.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2FBF03352082"
      }
    ]
     

    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.10.1186/bf03352082'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/bf03352082'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/bf03352082'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/bf03352082'


     

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

    90 TRIPLES      21 PREDICATES      33 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/bf03352082 schema:about anzsrc-for:01
    2 anzsrc-for:0104
    3 schema:author Nd334c0dec39d4e0e88f15832092c829d
    4 schema:citation sg:pub.10.1007/bf02888350
    5 https://doi.org/10.1016/0012-821x(92)90192-x
    6 https://doi.org/10.1029/95jb02811
    7 https://doi.org/10.1029/gl001i004p00185
    8 https://doi.org/10.1111/j.1365-246x.1991.tb05693.x
    9 https://doi.org/10.5636/jgg.46.613
    10 schema:datePublished 1998-01
    11 schema:datePublishedReg 1998-01-01
    12 schema:description Deconvolution of magnetic remanence which has been continuously measured along a long-core sample is improved by eliminating the disturbance of severe intensity variation confined to a narrow layer. The deconvolution is constrained by the smoothness of the magnetization measured by the L2-norm of second order difference. The previous model uses a single smoothness parameter for the entire sample and the optimum smoothness is obtained by minimizing ABIC (Akaike’s Bayesian Information Criterion), while an additional parameter is introduced in the modified scheme for a layer where intensity fluctuation is strong. The modified deconvolution scheme was applied to 5-mm interval magnetic remanence data for two sections of ODP Hole 767B. We assumed another smoothness for the uppermost 1.5 cm of Section 767B-6H1 where the coring disturbance is severe. For Section 767B-6H2, the Australasian microtektite layer (108–113 cm), where the magnetization intensity shows a strong peak, is expressed by a different smoothness parameter from other part. In both cases the minimum ABIC was lowered and the calculated error was reduced, demonstrating the improvement of the model by incorporating additional information other than magnetic remanence data in the prior distribution of the data.
    13 schema:genre research_article
    14 schema:inLanguage en
    15 schema:isAccessibleForFree true
    16 schema:isPartOf N21e4f4f8545644a29d33b07d953bd2a7
    17 N84f4b2eeaefb433683707182a8555493
    18 sg:journal.1294798
    19 schema:name An improvement in ABIC-minimizing deconvolution for continuously measured magnetic remanence data
    20 schema:pagination 15-22
    21 schema:productId N0ad91dce7d7d4fb091739884754ce991
    22 Nbe64ee5576824c6fa49a3982e4a3e0d3
    23 Ndf50d14348734e638925ab2195083280
    24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023393177
    25 https://doi.org/10.1186/bf03352082
    26 schema:sdDatePublished 2019-04-10T13:16
    27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    28 schema:sdPublisher N5e1762f24673425b88e38dd8a0ec73fa
    29 schema:url http://link.springer.com/10.1186%2FBF03352082
    30 sgo:license sg:explorer/license/
    31 sgo:sdDataset articles
    32 rdf:type schema:ScholarlyArticle
    33 N02f7f03e82f9412e92f0a46816391852 rdf:first sg:person.012447370126.79
    34 rdf:rest rdf:nil
    35 N0ad91dce7d7d4fb091739884754ce991 schema:name doi
    36 schema:value 10.1186/bf03352082
    37 rdf:type schema:PropertyValue
    38 N21e4f4f8545644a29d33b07d953bd2a7 schema:volumeNumber 50
    39 rdf:type schema:PublicationVolume
    40 N5e1762f24673425b88e38dd8a0ec73fa schema:name Springer Nature - SN SciGraph project
    41 rdf:type schema:Organization
    42 N84f4b2eeaefb433683707182a8555493 schema:issueNumber 1
    43 rdf:type schema:PublicationIssue
    44 Nbe64ee5576824c6fa49a3982e4a3e0d3 schema:name dimensions_id
    45 schema:value pub.1023393177
    46 rdf:type schema:PropertyValue
    47 Nd334c0dec39d4e0e88f15832092c829d rdf:first sg:person.015110571140.42
    48 rdf:rest N02f7f03e82f9412e92f0a46816391852
    49 Ndf50d14348734e638925ab2195083280 schema:name readcube_id
    50 schema:value 6f73b1ef7efe2bd9e1e39ac774b01a98798a15cbd41d274b16349be286786da7
    51 rdf:type schema:PropertyValue
    52 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
    53 schema:name Mathematical Sciences
    54 rdf:type schema:DefinedTerm
    55 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
    56 schema:name Statistics
    57 rdf:type schema:DefinedTerm
    58 sg:journal.1294798 schema:issn 1343-8832
    59 1880-5981
    60 schema:name Earth, Planets and Space
    61 rdf:type schema:Periodical
    62 sg:person.012447370126.79 schema:affiliation https://www.grid.ac/institutes/grid.274841.c
    63 schema:familyName Shibuya
    64 schema:givenName Hidetoshi
    65 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012447370126.79
    66 rdf:type schema:Person
    67 sg:person.015110571140.42 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
    68 schema:familyName Oda
    69 schema:givenName Hirokuni
    70 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015110571140.42
    71 rdf:type schema:Person
    72 sg:pub.10.1007/bf02888350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040070636
    73 https://doi.org/10.1007/bf02888350
    74 rdf:type schema:CreativeWork
    75 https://doi.org/10.1016/0012-821x(92)90192-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046763411
    76 rdf:type schema:CreativeWork
    77 https://doi.org/10.1029/95jb02811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024882266
    78 rdf:type schema:CreativeWork
    79 https://doi.org/10.1029/gl001i004p00185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000797452
    80 rdf:type schema:CreativeWork
    81 https://doi.org/10.1111/j.1365-246x.1991.tb05693.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039214196
    82 rdf:type schema:CreativeWork
    83 https://doi.org/10.5636/jgg.46.613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034124011
    84 rdf:type schema:CreativeWork
    85 https://www.grid.ac/institutes/grid.274841.c schema:alternateName Kumamoto University
    86 schema:name Department of Earth Sciences, Kumamoto University, 860, Kumamoto, Japan
    87 rdf:type schema:Organization
    88 https://www.grid.ac/institutes/grid.466781.a schema:alternateName Geological Survey of Japan
    89 schema:name Marine Geology Department, Geological Survey of Japan, 305, Tsukuba, Japan
    90 rdf:type schema:Organization
     




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


    ...