Cargando…
Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey
The Evolutionary Map of the Universe (EMU) is an all-sky survey in radio-continuum which uses the Australian SKA Pathfinder (ASKAP). Using galaxy angular power spectrum and the integrated Sachs-Wolfe effect, we study the potential of EMU to constrain models beyond ΛCDM (i.e., local primordial non-Ga...
Autores principales: | , , , , , , |
---|---|
Lenguaje: | eng |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1475-7516/2019/02/030 http://cds.cern.ch/record/2644038 |
_version_ | 1780960341120778240 |
---|---|
author | Bernal, José Luis Raccanelli, Alvise Kovetz, Ely D. Parkinson, David Norris, Ray P. Danforth, George Schmitt, Courtney |
author_facet | Bernal, José Luis Raccanelli, Alvise Kovetz, Ely D. Parkinson, David Norris, Ray P. Danforth, George Schmitt, Courtney |
author_sort | Bernal, José Luis |
collection | CERN |
description | The Evolutionary Map of the Universe (EMU) is an all-sky survey in radio-continuum which uses the Australian SKA Pathfinder (ASKAP). Using galaxy angular power spectrum and the integrated Sachs-Wolfe effect, we study the potential of EMU to constrain models beyond ΛCDM (i.e., local primordial non-Gaussianity, dynamical dark energy, spatial curvature and deviations from general relativity), for different design sensitivities. We also include a multi-tracer analysis, distinguishing between star-forming galaxies and galaxies with an active galactic nucleus, to further improve EMU's potential. We find that EMU could measure the dark energy equation of state parameters around 35% more precisely than existing constraints, and that the constraints on fNL and modified gravity parameters will improve up to a factor ~2 with respect to Planck and redshift space distortions measurements. With this work we demonstrate the promising potential of EMU to contribute to our understanding of the Universe. |
id | cern-2644038 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
record_format | invenio |
spelling | cern-26440382023-10-04T08:52:32Zdoi:10.1088/1475-7516/2019/02/030http://cds.cern.ch/record/2644038engBernal, José LuisRaccanelli, AlviseKovetz, Ely D.Parkinson, DavidNorris, Ray P.Danforth, GeorgeSchmitt, CourtneyProbing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe surveyastro-ph.COAstrophysics and AstronomyThe Evolutionary Map of the Universe (EMU) is an all-sky survey in radio-continuum which uses the Australian SKA Pathfinder (ASKAP). Using galaxy angular power spectrum and the integrated Sachs-Wolfe effect, we study the potential of EMU to constrain models beyond ΛCDM (i.e., local primordial non-Gaussianity, dynamical dark energy, spatial curvature and deviations from general relativity), for different design sensitivities. We also include a multi-tracer analysis, distinguishing between star-forming galaxies and galaxies with an active galactic nucleus, to further improve EMU's potential. We find that EMU could measure the dark energy equation of state parameters around 35% more precisely than existing constraints, and that the constraints on fNL and modified gravity parameters will improve up to a factor ~2 with respect to Planck and redshift space distortions measurements. With this work we demonstrate the promising potential of EMU to contribute to our understanding of the Universe.The Evolutionary Map of the Universe (EMU) is an all-sky survey in radio-continuum which uses the Australian SKA Pathfinder (ASKAP). Using galaxy angular power spectrum and the integrated Sachs-Wolfe effect, we study the potential of EMU to constrain models beyond $\Lambda$CDM (i.e., local primordial non-Gaussianity, dynamical dark energy, spatial curvature and deviations from general relativity), for different design sensitivities. We also include a multi-tracer analysis, distinguishing between star-forming galaxies and galaxies with an active galactic nucleus, to further improve EMU's potential. We find that EMU could measure the dark energy equation of state parameters around 35\% more precisely than existing constraints, and that the constraints on $f_{\rm NL}$ and modified gravity parameters will improve up to a factor $\sim2$ with respect to Planck and redshift space distortions measurements. With this work we demonstrate the promising potential of EMU to contribute to our understanding of the Universe.arXiv:1810.06672CERN-TH-2018-223oai:cds.cern.ch:26440382018-10-15 |
spellingShingle | astro-ph.CO Astrophysics and Astronomy Bernal, José Luis Raccanelli, Alvise Kovetz, Ely D. Parkinson, David Norris, Ray P. Danforth, George Schmitt, Courtney Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey |
title | Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey |
title_full | Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey |
title_fullStr | Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey |
title_full_unstemmed | Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey |
title_short | Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey |
title_sort | probing $\lambda$cdm cosmology with the evolutionary map of the universe survey |
topic | astro-ph.CO Astrophysics and Astronomy |
url | https://dx.doi.org/10.1088/1475-7516/2019/02/030 http://cds.cern.ch/record/2644038 |
work_keys_str_mv | AT bernaljoseluis probinglambdacdmcosmologywiththeevolutionarymapoftheuniversesurvey AT raccanellialvise probinglambdacdmcosmologywiththeevolutionarymapoftheuniversesurvey AT kovetzelyd probinglambdacdmcosmologywiththeevolutionarymapoftheuniversesurvey AT parkinsondavid probinglambdacdmcosmologywiththeevolutionarymapoftheuniversesurvey AT norrisrayp probinglambdacdmcosmologywiththeevolutionarymapoftheuniversesurvey AT danforthgeorge probinglambdacdmcosmologywiththeevolutionarymapoftheuniversesurvey AT schmittcourtney probinglambdacdmcosmologywiththeevolutionarymapoftheuniversesurvey |