6533b7cffe1ef96bd1258c65
RESEARCH PRODUCT
Accurate modeling of weak lensing with the stochastic gravitational lensing method
Kimmo KainulainenKimmo KainulainenValerio MarraValerio Marrasubject
PhysicsNuclear and High Energy Physicsmedia_common.quotation_subjectStrong gravitational lensingGravitational lensing formalismAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsGalaxyUniverseGravitational lensJoint Dark Energy MissionWeak gravitational lensingGalaxy clustermedia_commondescription
We revise and extend the stochastic gravitational lensing method (the sGL method) first introduced by Kainulainen and Marra [Phys. Rev. D 80, 123020 (2009)]. Here we include a realistic halo-mass function and density profiles to model the distribution of mass between and within galaxies, galaxy groups, and galaxy clusters. We also introduce a modeling of the filamentary large-scale structures and a method to embed halos into these structures. We show that the sGL method naturally reproduces the weak lensing results for the Millennium simulation. The strength of the sGL method is that a numerical code based on it can compute the lensing probability distribution function (PDF) for a given inhomogeneous model universe in a few seconds. This makes it a useful tool to study how lensing depends on cosmological parameters and its impact on observations. The sGL method can also be used to simulate the effect of a wide array of systematic biases on the observable lensing PDF. As an example we show how simple selection effects may reduce the variance of the observed PDF, which could possibly mask opposite effects from very large-scale structures. We also show how a survey like the Joint Dark Energy Mission could constrain the lensing PDF relative to a given cosmological model. The updated turboGL code is available at turboGL.org.
year | journal | country | edition | language |
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2011-01-18 | Physical Review D |