2016
DOI: 10.1093/mnras/stw1336
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MultiDarkLens Simulations: weak lensing light-cones and data base presentation

Abstract: In this paper we present a large database of weak lensing light cones constructed using different snapshots from the Big MultiDark simulation (BigMDPL). The raytracing through different multiple plane has been performed with the GLAMER code accounting both for single source redshifts and for sources distributed along the cosmic time. This first paper presents weak lensing forecasts and results according to the geometry of the VIPERS-W1 and VIPERS-W4 field of view. Additional fields will be available on our dat… Show more

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Cited by 32 publications
(33 citation statements)
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“…This result corroborates past similar conclusions in the literature (e.g. Jain et al 2000;Hilbert et al 2009;Giocoli et al 2016;Fabbian et al 2019).…”
Section: Born Approximationsupporting
confidence: 94%
“…This result corroborates past similar conclusions in the literature (e.g. Jain et al 2000;Hilbert et al 2009;Giocoli et al 2016;Fabbian et al 2019).…”
Section: Born Approximationsupporting
confidence: 94%
“…A possible examples is the recently released Multidark weak lensing lightcone [54]. This will offer the possibility to not only extend the redshift range, but also adjust the source redshift distribution thus allowing to explore the impact of this quantity on the validity of our linear calibration relation.…”
Section: Discussionmentioning
confidence: 99%
“…Since gravitational lensing is sensitive to the projected matter density distribution along the line-of-sight, we projected onto each lens plane all particles between two defined comoving distances from the observer, and in the simulations with massive neutrinos we consistently also accounted for this component, as well as for the proper Hubble function and the comoving distance calculation. As was done by Petri et al (2016Petri et al ( , 2017; Giocoli et al (2017Giocoli et al ( , 2018b; Castro et al (2018), we constructed the convergence maps by weighting the lens planes by the lensing kernel and assuming the Born approximation (Schäfer et al 2012;Giocoli et al 2016;Castro et al 2018), which represents an excellent estimation for weak cosmic lensing down to very small scales ( ≥ 10 4 ). From Σ l we can write down the convergence map κ at Article number, page 4 of 19 A.…”
Section: Map Makingmentioning
confidence: 99%