2016
DOI: 10.1093/mnras/stw1651
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Characterizing strong lensing galaxy clusters using the Millennium-XXL and moka simulations

Abstract: In this paper we investigate the strong lensing statistics in galaxy clusters. We extract dark matter haloes from the Millennium-XXL simulation, compute their Einstein radius distribution, and find a very good agreement with Monte Carlo predictions produced with the MOKA code. The distribution of the Einstein radii is well described by a log-normal distribution, with a considerable fraction of the largest systems boosted by different projection effects. We discuss the importance of substructures and triaxialit… Show more

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Cited by 12 publications
(8 citation statements)
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“…Not only do the line-of-sight structures introduce a systematic error in the strong lensing modelling (eg. Bayliss et al 2014;Giocoli et al 2016) but also distant massive structures in the lens plane have a considerable impact in the position of multiple images (Tu et al 2008;Limousin et al 2010) and thus on the mass constraints. Indeed, in Mahler et al (2017) the authors evaluate the impact of the presence of mass clumps in the outskirts of the cluster core of Abell 2744 (Jauzac et al 2016) to change the mass profile by ∼ 6% at 200kpc.…”
Section: Estimation Of ω M and Wmentioning
confidence: 99%
“…Not only do the line-of-sight structures introduce a systematic error in the strong lensing modelling (eg. Bayliss et al 2014;Giocoli et al 2016) but also distant massive structures in the lens plane have a considerable impact in the position of multiple images (Tu et al 2008;Limousin et al 2010) and thus on the mass constraints. Indeed, in Mahler et al (2017) the authors evaluate the impact of the presence of mass clumps in the outskirts of the cluster core of Abell 2744 (Jauzac et al 2016) to change the mass profile by ∼ 6% at 200kpc.…”
Section: Estimation Of ω M and Wmentioning
confidence: 99%
“…(2014, see also Giocoli et al 2016) discuss how selection effects may bias the measured concentration−mass relation at cluster scales, yielding up to 30% higher concentrations than what predicted by N-body simulations (see also Auger et al 2013;Sereno et al 2015;Lieu et al 2017). Several studies have also highlighted the possibility of biases arising from halo triaxiality (e.g., Foëx et al 2014).…”
Section: Dependence On Host Halo Massmentioning
confidence: 99%
“…We find from Fig. 7 that SIS profile can still match the SQLS observations well, whilst NFW predicts the lensing probabilities that are about an order of magnitude lower than the observations (Giocoli et al 2016). The usually employed standard model SIS+NFW breaks down for large image separations.…”
Section: Lensing Probabilitiesmentioning
confidence: 66%