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Apollo
Article . 2023
License: CC BY
Data sources: Datacite
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Apollo
Article . 2018
License: CC BY
Data sources: Apollo
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The MUSE Hubble Ultra Deep Field Survey

Authors: Boogaard, Leindert A; Brinchmann, Jarle; Bouché, Nicolas; Paalvast, Mieke; Bacon, Roland; Bouwens, Rychard J; Contini, Thierry; +12 Authors

The MUSE Hubble Ultra Deep Field Survey

Abstract

Star-forming galaxies have been found to follow a relatively tight relation between stellar mass ( M * ) and star formation rate (SFR), dubbed the “star formation sequence”. A turnover in the sequence has been observed, where galaxies with M * < 10 10 M ⊙ follow a steeper relation than their higher mass counterparts, suggesting that the low-mass slope is (nearly) linear. In this paper, we characterise the properties of the low-mass end of the star formation sequence between 7 ≤ log M * [ M ⊙ ] ≤ 10.5 at redshift 0.11 < z < 0.91. We use the deepest MUSE observations of the Hubble Ultra Deep Field and the Hubble Deep Field South to construct a sample of 179 star-forming galaxies with high signal-to-noise emission lines. Dust-corrected SFRs are determined from H β λ 4861 and H α λ 6563. We model the star formation sequence with a Gaussian distribution around a hyperplane between log M * , logSFR, and log(1 + z ), to simultaneously constrain the slope, redshift evolution, and intrinsic scatter. We find a sub-linear slope for the low-mass regime where log SFR [ M ⊙ yr −1 ] = 0.83 +0.07 −0.06 log M * [ M ⊙ ]+1.74 +0.66 −0.68 log(1 + z ), increasing with redshift. We recover an intrinsic scatter in the relation of σ intr = 0.44 +0.05 −0.04 , dex, larger than typically found at higher masses. As both hydrodynamical simulations and (semi-)analytical models typically favour a steeper slope in the low-mass regime, our results provide new constraints on the feedback processes which operate preferentially in low-mass halos.

Country
United Kingdom
Keywords

5101 Astronomical Sciences, 51 Physical Sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green