Diffuse extragalactic gamma-radiation above ‘black-body cutoff’ View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1990-05

AUTHORS

F. A. Aharonian, V. V. Vardanian, B. L. Kanevsky

ABSTRACT

The possible contribution of gamma-rays predicted within the universal cosmic-ray (CR) hypothesis to the energy range of CR spectrum above ‘black-body cutoff’ is calculated. These gamma-rays arise from the relativistic electromagnetic cascade generated in the field of microwave background radiation (MBR). The ultra-high energy photons and electrons that initiate the cascade are produced at the decay of π-mesons created in interactions of photons with the MBR. Simple analytic expression for cascade gamma-ray spectrum is obtained from the solution of kinetic equations for electrons and photons as well as for protons propagating in the MBR field. It is shown that at certain values of magnetic field and radio-wave density in the intergalactic space te flux of cascade gamma-rays may at least partly mask the ‘black-body cutoff’ in the CR spectrum. More... »

PAGES

111-124

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00642067

DOI

http://dx.doi.org/10.1007/bf00642067

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019622018


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": "Alikhanyan National Laboratory", 
          "id": "https://www.grid.ac/institutes/grid.48507.3e", 
          "name": [
            "Yerevan Physics Institute, Yerevan, USSR"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aharonian", 
        "givenName": "F. A.", 
        "id": "sg:person.01354457257.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354457257.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Alikhanyan National Laboratory", 
          "id": "https://www.grid.ac/institutes/grid.48507.3e", 
          "name": [
            "Yerevan Physics Institute, Yerevan, USSR"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vardanian", 
        "givenName": "V. V.", 
        "id": "sg:person.015027155571.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015027155571.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Moscow State University", 
          "id": "https://www.grid.ac/institutes/grid.14476.30", 
          "name": [
            "Institute of Nuclear Physics, Moscow State University, Moscow, USSR"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kanevsky", 
        "givenName": "B. L.", 
        "id": "sg:person.016422116571.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016422116571.48"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/mnras/221.4.769", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014531157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00642066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019226958", 
          "https://doi.org/10.1007/bf00642066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00642066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019226958", 
          "https://doi.org/10.1007/bf00642066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0370-1573(87)90127-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032456864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0370-1573(87)90127-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032456864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00653800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036921704", 
          "https://doi.org/10.1007/bf00653800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00645585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046118242", 
          "https://doi.org/10.1007/bf00645585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00645585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046118242", 
          "https://doi.org/10.1007/bf00645585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/149932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058481222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/156919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058488209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/166403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058497693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/166967", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058498257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.16.748", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060768949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.16.748", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060768949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.54.1875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060791384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.54.1875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060791384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1143/ptps.37.594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063144884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3367/ufnr.0105.197109b.0041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071215365"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1990-05", 
    "datePublishedReg": "1990-05-01", 
    "description": "The possible contribution of gamma-rays predicted within the universal cosmic-ray (CR) hypothesis to the energy range of CR spectrum above \u2018black-body cutoff\u2019 is calculated. These gamma-rays arise from the relativistic electromagnetic cascade generated in the field of microwave background radiation (MBR). The ultra-high energy photons and electrons that initiate the cascade are produced at the decay of \u03c0-mesons created in interactions of photons with the MBR. Simple analytic expression for cascade gamma-ray spectrum is obtained from the solution of kinetic equations for electrons and photons as well as for protons propagating in the MBR field. It is shown that at certain values of magnetic field and radio-wave density in the intergalactic space te flux of cascade gamma-rays may at least partly mask the \u2018black-body cutoff\u2019 in the CR spectrum.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00642067", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1026094", 
        "issn": [
          "0004-640X", 
          "1572-946X"
        ], 
        "name": "Astrophysics and Space Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "167"
      }
    ], 
    "name": "Diffuse extragalactic gamma-radiation above \u2018black-body cutoff\u2019", 
    "pagination": "111-124", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5d7d5a00c93d6b8b068f3ebd8a23900ffefbf34d7209a2831d324b3133cef3db"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00642067"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019622018"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00642067", 
      "https://app.dimensions.ai/details/publication/pub.1019622018"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:16", 
    "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/v90/0000000372_0000000372/records_117088_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00642067"
  }
]
 

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.10.1007/bf00642067'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf00642067'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00642067'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00642067'


 

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

120 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00642067 schema:about anzsrc-for:02
2 anzsrc-for:0201
3 schema:author N50292a4534aa46db9f33a952aeac9886
4 schema:citation sg:pub.10.1007/bf00642066
5 sg:pub.10.1007/bf00645585
6 sg:pub.10.1007/bf00653800
7 https://doi.org/10.1016/0370-1573(87)90127-x
8 https://doi.org/10.1086/149932
9 https://doi.org/10.1086/156919
10 https://doi.org/10.1086/166403
11 https://doi.org/10.1086/166967
12 https://doi.org/10.1093/mnras/221.4.769
13 https://doi.org/10.1103/physrevlett.16.748
14 https://doi.org/10.1103/physrevlett.54.1875
15 https://doi.org/10.1143/ptps.37.594
16 https://doi.org/10.3367/ufnr.0105.197109b.0041
17 schema:datePublished 1990-05
18 schema:datePublishedReg 1990-05-01
19 schema:description The possible contribution of gamma-rays predicted within the universal cosmic-ray (CR) hypothesis to the energy range of CR spectrum above ‘black-body cutoff’ is calculated. These gamma-rays arise from the relativistic electromagnetic cascade generated in the field of microwave background radiation (MBR). The ultra-high energy photons and electrons that initiate the cascade are produced at the decay of π-mesons created in interactions of photons with the MBR. Simple analytic expression for cascade gamma-ray spectrum is obtained from the solution of kinetic equations for electrons and photons as well as for protons propagating in the MBR field. It is shown that at certain values of magnetic field and radio-wave density in the intergalactic space te flux of cascade gamma-rays may at least partly mask the ‘black-body cutoff’ in the CR spectrum.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N3f812e144a554b1ea062982aa6991db0
24 Nde3e8228462b4c7586df6b9a0a6ed1f7
25 sg:journal.1026094
26 schema:name Diffuse extragalactic gamma-radiation above ‘black-body cutoff’
27 schema:pagination 111-124
28 schema:productId N01e7a078fdef420b9bc08bee464cac16
29 N782a67ea95c741f9959b5a9934c4854c
30 N887b715aec1b42988c1a41b8d0809637
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019622018
32 https://doi.org/10.1007/bf00642067
33 schema:sdDatePublished 2019-04-11T14:16
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher Nc17ea251eed5446ebe799c2bf42b6918
36 schema:url http://link.springer.com/10.1007/BF00642067
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N01e7a078fdef420b9bc08bee464cac16 schema:name dimensions_id
41 schema:value pub.1019622018
42 rdf:type schema:PropertyValue
43 N3f812e144a554b1ea062982aa6991db0 schema:volumeNumber 167
44 rdf:type schema:PublicationVolume
45 N42ab5451eb234e5fb1e74770fdfee409 rdf:first sg:person.016422116571.48
46 rdf:rest rdf:nil
47 N50292a4534aa46db9f33a952aeac9886 rdf:first sg:person.01354457257.24
48 rdf:rest N6ba6cdec134e48dc9b3a0facd26057cc
49 N6ba6cdec134e48dc9b3a0facd26057cc rdf:first sg:person.015027155571.02
50 rdf:rest N42ab5451eb234e5fb1e74770fdfee409
51 N782a67ea95c741f9959b5a9934c4854c schema:name readcube_id
52 schema:value 5d7d5a00c93d6b8b068f3ebd8a23900ffefbf34d7209a2831d324b3133cef3db
53 rdf:type schema:PropertyValue
54 N887b715aec1b42988c1a41b8d0809637 schema:name doi
55 schema:value 10.1007/bf00642067
56 rdf:type schema:PropertyValue
57 Nc17ea251eed5446ebe799c2bf42b6918 schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 Nde3e8228462b4c7586df6b9a0a6ed1f7 schema:issueNumber 1
60 rdf:type schema:PublicationIssue
61 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
62 schema:name Physical Sciences
63 rdf:type schema:DefinedTerm
64 anzsrc-for:0201 schema:inDefinedTermSet anzsrc-for:
65 schema:name Astronomical and Space Sciences
66 rdf:type schema:DefinedTerm
67 sg:journal.1026094 schema:issn 0004-640X
68 1572-946X
69 schema:name Astrophysics and Space Science
70 rdf:type schema:Periodical
71 sg:person.01354457257.24 schema:affiliation https://www.grid.ac/institutes/grid.48507.3e
72 schema:familyName Aharonian
73 schema:givenName F. A.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354457257.24
75 rdf:type schema:Person
76 sg:person.015027155571.02 schema:affiliation https://www.grid.ac/institutes/grid.48507.3e
77 schema:familyName Vardanian
78 schema:givenName V. V.
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015027155571.02
80 rdf:type schema:Person
81 sg:person.016422116571.48 schema:affiliation https://www.grid.ac/institutes/grid.14476.30
82 schema:familyName Kanevsky
83 schema:givenName B. L.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016422116571.48
85 rdf:type schema:Person
86 sg:pub.10.1007/bf00642066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019226958
87 https://doi.org/10.1007/bf00642066
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/bf00645585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046118242
90 https://doi.org/10.1007/bf00645585
91 rdf:type schema:CreativeWork
92 sg:pub.10.1007/bf00653800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036921704
93 https://doi.org/10.1007/bf00653800
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/0370-1573(87)90127-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032456864
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1086/149932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058481222
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1086/156919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058488209
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1086/166403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058497693
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1086/166967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058498257
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1093/mnras/221.4.769 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014531157
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1103/physrevlett.16.748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060768949
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1103/physrevlett.54.1875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060791384
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1143/ptps.37.594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063144884
112 rdf:type schema:CreativeWork
113 https://doi.org/10.3367/ufnr.0105.197109b.0041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071215365
114 rdf:type schema:CreativeWork
115 https://www.grid.ac/institutes/grid.14476.30 schema:alternateName Moscow State University
116 schema:name Institute of Nuclear Physics, Moscow State University, Moscow, USSR
117 rdf:type schema:Organization
118 https://www.grid.ac/institutes/grid.48507.3e schema:alternateName Alikhanyan National Laboratory
119 schema:name Yerevan Physics Institute, Yerevan, USSR
120 rdf:type schema:Organization
 




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


...