EXPLORING EARLY AND LATE COSMOLOGY WITH NEXT GENERATION SURVEYS

dc.contributor.authorBrando, Guilherme
dc.contributor.authorLinder, Eric V.
dc.date.accessioned2022-07-05T11:21:53Z
dc.date.available2022-07-05T11:21:53Z
dc.date.issued2020
dc.description.abstractPerturbations from inflation evolve into large scale structure of the late universe, and encode abundant cosmic structure formation physics. We allow freedom in the primordial power spectrum, rather than assuming a power law scale dependence, to study its impact on cosmological parameter determination. Combining various generations of cosmic microwave background (CMB) data and galaxy redshift survey data, we investigate the constraints on reconstruction of the primordial curvature perturbation power spectrum and the late time cosmology, especially the sum of neutrino masses. We quantify how each successive generation, in CMB and galaxy surveys, provides significant improvements, often by factors of several. By using CMB polarization information over a broad range of angular scales, and galaxy redshift data in many bins of redshift, one can allow inflationary freedom and still constrain parameters comparably to assuming power law dependence. The primordial power spectrum can be reconstructed at the subpercent level in a dozen wave number bins, while simultaneously fitting the sum of neutrino masses to 14 meVen_US
dc.identifier.citationBrando, G., & Linder, E. V. (2020). Exploring early and late cosmology with next generation surveys. Physical Review D, 101(10). https://doi.org/10.1103/physrevd.101.103510en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/6375
dc.language.isoenen_US
dc.publisherPHYSICAL REVIEW Den_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.subjectcosmologyen_US
dc.subjectuniverseen_US
dc.subjectphysicsen_US
dc.titleEXPLORING EARLY AND LATE COSMOLOGY WITH NEXT GENERATION SURVEYSen_US
dc.typeArticleen_US
workflow.import.sourcescience

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