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On the estimation of gravity-induced non-Gaussianities from weak-lensing surveys

Author
VALAGEAS, Patrick1 ; MUNSHI, Dipak2 3 ; BARBER, Andrew J4
[1] Service de Physique Théorique, CEA Saclay, 91191 Gif-sur-Yvette, France
[2] Institute of Astronomy, Madingley Road, Cambridge CB3 0HA, United Kingdom
[3] Astrophysics Group, Cavendish Laboratory, Madingley Road, Cambridge CB3 0HE, United Kingdom
[4] Astronomy Centre, University of Sussex, Falmer, Brighton BN1 9QJ, United Kingdom
Source

Monthly Notices of the Royal Astronomical Society. 2005, Vol 356, Num 1, pp 386-400, 15 p ; ref : 46 ref

CODEN
MNRAA4
ISSN
0035-8711
Scientific domain
Astronomy earth cosmic environment
Publisher
Blackwell Science, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
cosmology: theory gravitational lensing large-scale structure of Universe methods: analytical methods: numerical methods: statistical
Keyword (fr)
Cisaillement Cosmologie Déplacement vers le rouge Ellipticité Estimateur Etude statistique Galaxies Gravité Mirage gravitationnel Modèle Moment statistique Méthode numérique Méthode statistique Simulation numérique Structure grande échelle
Keyword (en)
Shear Cosmology Red shift Ellipticity Estimator Statistical study Galaxies Gravity Gravitational lensing Models Statistical moment Numerical method Statistical method Digital simulation Large-scale structure
Keyword (es)
Elipticidad Estimador Estudio estadístico Espejismo gravitacional Modelo Momento estadístico Método numérico Método estadístico
Discipline
Astronomy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16511351

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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