Detectability of the effect of Inflationary non-Gaussianity on halo bias

We consider the description of the clustering of halos for physically-motivated types of non-Gaussian initial conditions. In particular we include non-Gaussianity of the type arising from single field slow-roll, multi fields, curvaton (local type), higher-order derivative-type (equilateral), vacuum-...

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Detalles Bibliográficos
Autores principales: Verde, Licia, Matarrese, Sabino
Lenguaje:eng
Publicado: 2009
Materias:
Astrophysics and Astronomy
Acceso en línea:https://dx.doi.org/10.1088/0004-637X/706/1/L91
http://cds.cern.ch/record/1207495
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author Verde, Licia
Matarrese, Sabino
author_facet Verde, Licia
Matarrese, Sabino
author_sort Verde, Licia
collection CERN
description We consider the description of the clustering of halos for physically-motivated types of non-Gaussian initial conditions. In particular we include non-Gaussianity of the type arising from single field slow-roll, multi fields, curvaton (local type), higher-order derivative-type (equilateral), vacuum-state modifications (enfolded-type) and horizon-scale GR corrections type. We show that large-scale halo bias is a very sensitive tool to probe non-Gaussianity, potentially leading, for some planned surveys, to a detection of non-Gaussianity arising from horizon-scale GR corrections.
id cern-1207495
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2009
record_format invenio
spelling cern-12074952023-03-14T19:08:57Zdoi:10.1088/0004-637X/706/1/L91http://cds.cern.ch/record/1207495engVerde, LiciaMatarrese, SabinoDetectability of the effect of Inflationary non-Gaussianity on halo biasAstrophysics and AstronomyWe consider the description of the clustering of halos for physically-motivated types of non-Gaussian initial conditions. In particular we include non-Gaussianity of the type arising from single field slow-roll, multi fields, curvaton (local type), higher-order derivative-type (equilateral), vacuum-state modifications (enfolded-type) and horizon-scale GR corrections type. We show that large-scale halo bias is a very sensitive tool to probe non-Gaussianity, potentially leading, for some planned surveys, to a detection of non-Gaussianity arising from horizon-scale GR corrections.We consider the description of the clustering of halos for physically-motivated types of non-Gaussian initial conditions. In particular we include non-Gaussianity of the type arising from single field slow-roll, multi fields, curvaton (local type), higher-order derivative-type (equilateral), vacuum-state modifications (enfolded-type) and horizon-scale GR corrections type. We show that large-scale halo bias is a very sensitive tool to probe non-Gaussianity, potentially leading, for some planned surveys, to a detection of non-Gaussianity arising from horizon-scale GR corrections. In tandem with cosmic microwave background constraints, the halo-bias approach can help enormously to discriminate among different shapes of non-Gaussianity and thus among models for the origin of cosmological perturbations.arXiv:0909.3224oai:cds.cern.ch:12074952009-09-18
spellingShingle Astrophysics and Astronomy
Verde, Licia
Matarrese, Sabino
Detectability of the effect of Inflationary non-Gaussianity on halo bias
title Detectability of the effect of Inflationary non-Gaussianity on halo bias
title_full Detectability of the effect of Inflationary non-Gaussianity on halo bias
title_fullStr Detectability of the effect of Inflationary non-Gaussianity on halo bias
title_full_unstemmed Detectability of the effect of Inflationary non-Gaussianity on halo bias
title_short Detectability of the effect of Inflationary non-Gaussianity on halo bias
title_sort detectability of the effect of inflationary non-gaussianity on halo bias
topic Astrophysics and Astronomy
url https://dx.doi.org/10.1088/0004-637X/706/1/L91
http://cds.cern.ch/record/1207495
work_keys_str_mv AT verdelicia detectabilityoftheeffectofinflationarynongaussianityonhalobias
AT matarresesabino detectabilityoftheeffectofinflationarynongaussianityonhalobias

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