2018
DOI: 10.1051/aa/20171747
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CLASH-VLT: spectroscopic confirmation of a z = 6.11 quintuply lensed galaxy in the Frontier Fields Cluster RXC J2248.7-4431 (Corrigendum)

Abstract: We present VIsible Multi-Object Spectrograph (VIMOS) observations of a z ∼ 6 galaxy quintuply imaged by the Frontier Fields galaxy cluster RXC J2248.7-4431 (z = 0.348). This sub-L * , high-z galaxy has been recently discovered by Monna et al. (2013) using dropout techniques with the 16-band HST photometry acquired as part of the Cluster Lensing And Supernova survey with Hubble (CLASH). Obtained as part of the CLASH-VLT survey, the VIMOS medium-resolution spectra of this source show a very faint continuum betwe… Show more

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Cited by 3 publications
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“…Lotz, Lotz et al 2017), aiming at combining the power of HST and Spitzer with the natural gravitational telescope effect of massive highmagnification clusters of galaxies. These datasets allow us, for instance, to test predictions of the ΛCDM model (Annunziatella et al 2017;Sartoris et al 2020), to measure the Hubble constant value (Grillo et al 2018(Grillo et al , 2020, to refine weak and strong lensing models to map the total mass distribution in clusters (Gruen et al 2013;Caminha et al 2016;Bergamini et al 2019;Granata et al 2022) and to serendipitously discover very distant lensed galaxies up to z ∼ 6 (Vanzella et al 2016;Balestra et al 2018).…”
Section: Datasetmentioning
confidence: 99%
“…Lotz, Lotz et al 2017), aiming at combining the power of HST and Spitzer with the natural gravitational telescope effect of massive highmagnification clusters of galaxies. These datasets allow us, for instance, to test predictions of the ΛCDM model (Annunziatella et al 2017;Sartoris et al 2020), to measure the Hubble constant value (Grillo et al 2018(Grillo et al , 2020, to refine weak and strong lensing models to map the total mass distribution in clusters (Gruen et al 2013;Caminha et al 2016;Bergamini et al 2019;Granata et al 2022) and to serendipitously discover very distant lensed galaxies up to z ∼ 6 (Vanzella et al 2016;Balestra et al 2018).…”
Section: Datasetmentioning
confidence: 99%