Prospects for Observing Supermassive Binary Black Holes by the Space-Ground Radio Interferometer
A list of the candidate supermassive binary black holes, compiled on the basis of available data on variability in the optical band and the shape of the emission spectrum, is analyzed. To estimate the radiation flux at the frequency 240 GHz, an artificial neural network was created. For the candidat...
Gespeichert in:
| Veröffentlicht in: | Astronomy reports 2023-07, Vol.67 (7), p.685-696 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 696 |
|---|---|
| container_issue | 7 |
| container_start_page | 685 |
| container_title | Astronomy reports |
| container_volume | 67 |
| creator | Malinovsky, A. M. Mikheeva, E. V. |
| description | A list of the candidate supermassive binary black holes, compiled on the basis of available data on variability in the optical band and the shape of the emission spectrum, is analyzed. To estimate the radiation flux at the frequency 240 GHz, an artificial neural network was created. For the candidate supermassive binary black holes for which the network construction procedure turned out to be successful, the criterion for the possibility of observing the source at the Millimetron Space Observatory was tested. The study results are presented in the form of a table of 17 candidate supermassive binary black holes. Confirmation (or rejection) of the binarity of these objects during observations by a space interferometer with parameters similar to those of the Millimetron Space Observatory will be an important milestone in the development of the theory of galaxy formation. |
| doi_str_mv | 10.1134/S1063772923070065 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2873542301</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2873542301</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-cd24a7c5fc5a2a3c0363ec0ec49a4a4c2578250f717835e333559b21441d20b73</originalsourceid><addsrcrecordid>eNp1UF1LwzAUDaLgnP4A3wI-V3Pz0XSPbug2GChOn2ua3s7OralJO9i_N2OCD-LTPXA-LucQcg3sFkDIuyWwVGjNR1wwzViqTsgAVMqTNMvgNOJIJwf-nFyEsGYMIBPpgLw_exdatF2glfP0qQjod3Wzosu-Rb81IdQ7pOO6MX5PxxtjP-nMbTDQYk-7D6TL1lhMpt71TUlfTFk7Om869BV6t8UILslZZTYBr37ukLw9PrxOZsniaTqf3C8SKyDtEltyabRVlVWGG2GZSAVahlaOjDTScqUzrlilQWdCoRBCqVHBQUooOSu0GJKbY27r3VePocvXrvdNfJnzTAsl4zAQVXBU2Vg7eKzy1tfb2C0Hlh-GzP8MGT386AlR26zQ_yb_b_oGyxV0NQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2873542301</pqid></control><display><type>article</type><title>Prospects for Observing Supermassive Binary Black Holes by the Space-Ground Radio Interferometer</title><source>SpringerLink Journals - AutoHoldings</source><creator>Malinovsky, A. M. ; Mikheeva, E. V.</creator><creatorcontrib>Malinovsky, A. M. ; Mikheeva, E. V.</creatorcontrib><description>A list of the candidate supermassive binary black holes, compiled on the basis of available data on variability in the optical band and the shape of the emission spectrum, is analyzed. To estimate the radiation flux at the frequency 240 GHz, an artificial neural network was created. For the candidate supermassive binary black holes for which the network construction procedure turned out to be successful, the criterion for the possibility of observing the source at the Millimetron Space Observatory was tested. The study results are presented in the form of a table of 17 candidate supermassive binary black holes. Confirmation (or rejection) of the binarity of these objects during observations by a space interferometer with parameters similar to those of the Millimetron Space Observatory will be an important milestone in the development of the theory of galaxy formation.</description><identifier>ISSN: 1063-7729</identifier><identifier>EISSN: 1562-6881</identifier><identifier>DOI: 10.1134/S1063772923070065</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Artificial neural networks ; Astronomy ; Black holes ; Emission analysis ; Galactic evolution ; Galaxies ; Interferometers ; Neural networks ; Observations and Techniques ; Physics ; Physics and Astronomy ; Radiation flux ; Radio interferometers</subject><ispartof>Astronomy reports, 2023-07, Vol.67 (7), p.685-696</ispartof><rights>Pleiades Publishing, Ltd. 2023. ISSN 1063-7729, Astronomy Reports, 2023, Vol. 67, No. 7, pp. 685–696. © Pleiades Publishing, Ltd., 2023. Russian Text © The Author(s), 2023, published in Astronomicheskii Zhurnal, 2023, Vol. 100, No. 7, pp. 569–581.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-cd24a7c5fc5a2a3c0363ec0ec49a4a4c2578250f717835e333559b21441d20b73</citedby><cites>FETCH-LOGICAL-c316t-cd24a7c5fc5a2a3c0363ec0ec49a4a4c2578250f717835e333559b21441d20b73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S1063772923070065$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S1063772923070065$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Malinovsky, A. M.</creatorcontrib><creatorcontrib>Mikheeva, E. V.</creatorcontrib><title>Prospects for Observing Supermassive Binary Black Holes by the Space-Ground Radio Interferometer</title><title>Astronomy reports</title><addtitle>Astron. Rep</addtitle><description>A list of the candidate supermassive binary black holes, compiled on the basis of available data on variability in the optical band and the shape of the emission spectrum, is analyzed. To estimate the radiation flux at the frequency 240 GHz, an artificial neural network was created. For the candidate supermassive binary black holes for which the network construction procedure turned out to be successful, the criterion for the possibility of observing the source at the Millimetron Space Observatory was tested. The study results are presented in the form of a table of 17 candidate supermassive binary black holes. Confirmation (or rejection) of the binarity of these objects during observations by a space interferometer with parameters similar to those of the Millimetron Space Observatory will be an important milestone in the development of the theory of galaxy formation.</description><subject>Artificial neural networks</subject><subject>Astronomy</subject><subject>Black holes</subject><subject>Emission analysis</subject><subject>Galactic evolution</subject><subject>Galaxies</subject><subject>Interferometers</subject><subject>Neural networks</subject><subject>Observations and Techniques</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Radiation flux</subject><subject>Radio interferometers</subject><issn>1063-7729</issn><issn>1562-6881</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1UF1LwzAUDaLgnP4A3wI-V3Pz0XSPbug2GChOn2ua3s7OralJO9i_N2OCD-LTPXA-LucQcg3sFkDIuyWwVGjNR1wwzViqTsgAVMqTNMvgNOJIJwf-nFyEsGYMIBPpgLw_exdatF2glfP0qQjod3Wzosu-Rb81IdQ7pOO6MX5PxxtjP-nMbTDQYk-7D6TL1lhMpt71TUlfTFk7Om869BV6t8UILslZZTYBr37ukLw9PrxOZsniaTqf3C8SKyDtEltyabRVlVWGG2GZSAVahlaOjDTScqUzrlilQWdCoRBCqVHBQUooOSu0GJKbY27r3VePocvXrvdNfJnzTAsl4zAQVXBU2Vg7eKzy1tfb2C0Hlh-GzP8MGT386AlR26zQ_yb_b_oGyxV0NQ</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Malinovsky, A. M.</creator><creator>Mikheeva, E. V.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>8FD</scope><scope>H8D</scope><scope>KL.</scope><scope>L7M</scope></search><sort><creationdate>20230701</creationdate><title>Prospects for Observing Supermassive Binary Black Holes by the Space-Ground Radio Interferometer</title><author>Malinovsky, A. M. ; Mikheeva, E. V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-cd24a7c5fc5a2a3c0363ec0ec49a4a4c2578250f717835e333559b21441d20b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial neural networks</topic><topic>Astronomy</topic><topic>Black holes</topic><topic>Emission analysis</topic><topic>Galactic evolution</topic><topic>Galaxies</topic><topic>Interferometers</topic><topic>Neural networks</topic><topic>Observations and Techniques</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Radiation flux</topic><topic>Radio interferometers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Malinovsky, A. M.</creatorcontrib><creatorcontrib>Mikheeva, E. V.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Astronomy reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Malinovsky, A. M.</au><au>Mikheeva, E. V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prospects for Observing Supermassive Binary Black Holes by the Space-Ground Radio Interferometer</atitle><jtitle>Astronomy reports</jtitle><stitle>Astron. Rep</stitle><date>2023-07-01</date><risdate>2023</risdate><volume>67</volume><issue>7</issue><spage>685</spage><epage>696</epage><pages>685-696</pages><issn>1063-7729</issn><eissn>1562-6881</eissn><abstract>A list of the candidate supermassive binary black holes, compiled on the basis of available data on variability in the optical band and the shape of the emission spectrum, is analyzed. To estimate the radiation flux at the frequency 240 GHz, an artificial neural network was created. For the candidate supermassive binary black holes for which the network construction procedure turned out to be successful, the criterion for the possibility of observing the source at the Millimetron Space Observatory was tested. The study results are presented in the form of a table of 17 candidate supermassive binary black holes. Confirmation (or rejection) of the binarity of these objects during observations by a space interferometer with parameters similar to those of the Millimetron Space Observatory will be an important milestone in the development of the theory of galaxy formation.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1063772923070065</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1063-7729 |
| ispartof | Astronomy reports, 2023-07, Vol.67 (7), p.685-696 |
| issn | 1063-7729 1562-6881 |
| language | eng |
| recordid | cdi_proquest_journals_2873542301 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Artificial neural networks Astronomy Black holes Emission analysis Galactic evolution Galaxies Interferometers Neural networks Observations and Techniques Physics Physics and Astronomy Radiation flux Radio interferometers |
| title | Prospects for Observing Supermassive Binary Black Holes by the Space-Ground Radio Interferometer |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T21%3A12%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prospects%20for%20Observing%20Supermassive%20Binary%20Black%20Holes%20by%20the%20Space-Ground%20Radio%20Interferometer&rft.jtitle=Astronomy%20reports&rft.au=Malinovsky,%20A.%20M.&rft.date=2023-07-01&rft.volume=67&rft.issue=7&rft.spage=685&rft.epage=696&rft.pages=685-696&rft.issn=1063-7729&rft.eissn=1562-6881&rft_id=info:doi/10.1134/S1063772923070065&rft_dat=%3Cproquest_cross%3E2873542301%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2873542301&rft_id=info:pmid/&rfr_iscdi=true |