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new moment-based general-relativistic neutrino-radiation transport code: Methods and first applications to neutron star mergers.

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Bibliographic Details
Title: new moment-based general-relativistic neutrino-radiation transport code: Methods and first applications to neutron star mergers.
Authors: Radice, David1,2,3, david.radice@psu.edu, Bernuzzi, Sebastiano4, Perego, Albino5,6, Haas, Roland7
Source: Monthly Notices of the Royal Astronomical Society; May2022, Vol. 512 Issue 1, p1499-1521, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 156217723
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: new moment-based general-relativistic neutrino-radiation transport code: Methods and first applications to neutron star mergers.
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  Data: <searchLink fieldCode="AU" term="%22Radice%2C+David%22">Radice, David</searchLink><relatesTo>1,2,3</relatesTo>, <i>david.radice@psu.edu</i><br /><searchLink fieldCode="AU" term="%22Bernuzzi%2C+Sebastiano%22">Bernuzzi, Sebastiano</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Perego%2C+Albino%22">Perego, Albino</searchLink><relatesTo>5,6</relatesTo><br /><searchLink fieldCode="AU" term="%22Haas%2C+Roland%22">Haas, Roland</searchLink><relatesTo>7</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Monthly+Notices+of+the+Royal+Astronomical+Society%22">Monthly Notices of the Royal Astronomical Society</searchLink>; May2022, Vol. 512 Issue 1, p1499-1521, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=156217723
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/mnras/stac589
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 1499
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      – TitleFull: new moment-based general-relativistic neutrino-radiation transport code: Methods and first applications to neutron star mergers.
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            NameFull: Radice, David
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            NameFull: Bernuzzi, Sebastiano
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            NameFull: Perego, Albino
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            – D: 01
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              Text: May2022
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              Y: 2022
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              Value: 512
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