2022
DOI: 10.48550/arxiv.2208.02863
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Multiply lensed star forming clumps in the A521-sys1 galaxy at redshift 1

Matteo Messa,
Miroslava Dessauges-Zavadsky,
Johan Richard
et al.

Abstract: We study the population of star-forming clumps in A521-sys1, a z = 1.04 system gravitationally lensed by the foreground (z = 0.25) cluster Abell 0521. The galaxy presents one complete counter-image with a mean magnification of µ ∼ 4 and a wide arc containing two partial images of A521-sys1 with magnifications reaching µ > 20, allowing the investigations of clumps down to scales of R eff < 50 pc. We identify 18 unique clumps with a total of 45 multiple images. Intrinsic sizes and UV magnitudes reveal clumps wit… Show more

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Cited by 1 publication
(7 citation statements)
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References 76 publications
(109 reference statements)
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“…Overall, we observe that as star formation proceeds for a longer time (from IB to 100Myr) the ages of the clumps get on average older and, therefore, resulting masses (central panels) become slightly larger for the 100Myr model. These trends have already been remarked in the literature (Adamo et al 2013;Messa et al 2022), who find similar behavior and dependencies.…”
Section: Broadband Sed Fittingsupporting
confidence: 83%
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“…Overall, we observe that as star formation proceeds for a longer time (from IB to 100Myr) the ages of the clumps get on average older and, therefore, resulting masses (central panels) become slightly larger for the 100Myr model. These trends have already been remarked in the literature (Adamo et al 2013;Messa et al 2022), who find similar behavior and dependencies.…”
Section: Broadband Sed Fittingsupporting
confidence: 83%
“…Since stellar clumps will appear with different sizes and resolutions depending on the magnification and distortion, fixed aperture photometry will produce significant contamination and might introduce systematics. We, therefore, simultaneously fit for clump size and fluxes, using the method initially developed by Messa et al (2019) and later improved and adapted to take into account lensing models as presented in Messa et al (2022). A similar approach has also been adopted by Meštrić et al (2022).…”
Section: Clumps Modelingmentioning
confidence: 99%
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