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The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Constraining modified gravity

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dc.contributor.author Mueller, Eva-Maria
dc.contributor.author Percival, Will
dc.contributor.author Linder, Eric
dc.contributor.author Alam, Shadab
dc.contributor.author Zhao, Gong-Bo
dc.contributor.author Sanchez, Ariel G.
dc.contributor.author Beutler, Florian
dc.date.accessioned 2019-07-20T11:24:29Z
dc.date.available 2019-07-20T11:24:29Z
dc.date.issued 2016-12-02
dc.identifier.citation Mueller, E. M., Percival, W., Linder, E., Alam, S., Zhao, G. B., Sánchez, A. G., (2016). The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Constraining modified gravity. Monthly Notices of the Royal Astronomical Society, 475(2), 2122–2131. https://doi.org/10.1093/MNRAS/STX3232 en_US
dc.identifier.issn 13652966
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/4042
dc.description Energetic Cosmos Laboratory. ECL Publications en_US
dc.description.abstract We use baryon acoustic oscillation and redshift space distortion from the completed Baryon Oscillation Spectroscopic Survey, corresponding to data release 12 of the Sloan Digital Sky Survey, combined sample analysis in combination with the cosmic microwave background, supernova and redshift space distortion measurements from additional spectroscopic surveys to test deviations from general relativity. We present constraints on several phenomenological models of modified gravity. en_US
dc.language.iso en en_US
dc.publisher American Physical Society en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject The 2nd international conference of the Energetic Cosmos Laboratory (ECL) en_US
dc.subject ECL19 en_US
dc.subject Energetic Cosmos Laboratory (ECL) en_US
dc.title The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Constraining modified gravity en_US
dc.type Article en_US
workflow.import.source science


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