2021
DOI: 10.1093/mnras/stab1196
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Further support for a trio of mass-to-light deviations in Abell 370: free-form grale lens inversion using BUFFALO strong lensing data

Abstract: A version of this article was published in error on 28 April 2021 and has been temporarily removed. The Publisher apologizes for any inconvenience.

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Cited by 17 publications
(13 citation statements)
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References 65 publications
(111 reference statements)
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“…Each run starts with a random seed producing a similar but different map. Constrained by the required computational resources, the number of independent G runs (i.e., 40), is consistent with our previous works (Ghosh et al 2021(Ghosh et al , 2020. In this work, we are using a reconstruction area of 0.62 Mpc × 0.62 Mpc and the smallest resolution cell (projected Plummer sphere) has a radius of ∼ 4 kpc.…”
Section: Results: Mass Reconstructionsupporting
confidence: 61%
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“…Each run starts with a random seed producing a similar but different map. Constrained by the required computational resources, the number of independent G runs (i.e., 40), is consistent with our previous works (Ghosh et al 2021(Ghosh et al , 2020. In this work, we are using a reconstruction area of 0.62 Mpc × 0.62 Mpc and the smallest resolution cell (projected Plummer sphere) has a radius of ∼ 4 kpc.…”
Section: Results: Mass Reconstructionsupporting
confidence: 61%
“…Comparison between reconstructions that use different lens inversion methods is probably the best way to accomplish that. In Ghosh et al (2021) we carried out such a comparison for the merging cluster Abell 370, based on the data from Hubble Frontier Fields (HFF) and Beyond Ultra-deep Frontier Fields and Legacy Observations (BUFFALO) strong lensing data sets. For this work on A1689 we conclude that on spatial scales of about 100 kpc and above, most, and probably all mass reconstructions agree.…”
Section: Discussionmentioning
confidence: 99%
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“…Strong lensing observations permit a very effective determination of the total mass enclosed within the multiple images of a single background source, but the same amount of mass can be obtained with relatively different mass distribution models (e.g. Limousin et al 2016;Ghosh et al 2021). This implies that the parameters that define a model often have a certain degree of degeneracy between them, which corresponds to a possible transfer of mass between the various components.…”
Section: Introductionmentioning
confidence: 99%