2014
DOI: 10.1051/0004-6361/201322704
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Constraints on the star-formation rate ofz~ 3 LBGs with measured metallicity in the CANDELS GOODS-South field

Abstract: Aims. We aim to constrain the assembly history of high-redshift galaxies and the reliability of UV-based estimates of their physical parameters from an accurate analysis of a unique sample of z ∼ 3 Lyman-break galaxies (LBGs). Methods. We analyse 14 LBGs at z ∼ 2.8-3.8 constituting the only sample where both a spectroscopic measurement of their metallicity and deep IR observations (CANDELS+HUGS survey) are available. Fixing the metallicity of population synthesis models to the observed values, we determine bes… Show more

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Cited by 99 publications
(121 citation statements)
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“…In our study this hypothesis is supported by the fact that the SFR derived from the SED (which takes into account the metallicity of the galaxy to choose the best-fit model) is always systematically offset to higher values by ∼0.2 dex. In agreement with the results of Castellano et al (2014) if this offset is only due to the dust attenuation correction it would imply that Meurer's zeropoint should be corrected upwards by this quantity for typical EELGs, resulting in a median dust attenuation in the FUV of about ∼10−20% higher. Although a rigorous analysis of the discrepancies between different SFR indicators is far from the scope of this paper, we caution about using dust attenuation corrections for lowmetallicity galaxies under the assumption of models and calibrations which are valid for solar metallicity environments.…”
Section: Uv Propertiessupporting
confidence: 83%
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“…In our study this hypothesis is supported by the fact that the SFR derived from the SED (which takes into account the metallicity of the galaxy to choose the best-fit model) is always systematically offset to higher values by ∼0.2 dex. In agreement with the results of Castellano et al (2014) if this offset is only due to the dust attenuation correction it would imply that Meurer's zeropoint should be corrected upwards by this quantity for typical EELGs, resulting in a median dust attenuation in the FUV of about ∼10−20% higher. Although a rigorous analysis of the discrepancies between different SFR indicators is far from the scope of this paper, we caution about using dust attenuation corrections for lowmetallicity galaxies under the assumption of models and calibrations which are valid for solar metallicity environments.…”
Section: Uv Propertiessupporting
confidence: 83%
“…Since standard stellar population synthesis models do not include nebular emission this may have an impact on the SED fitting and, in particular, on the computed total stellar masses (e.g., Krueger et al 1995;Papaderos et al 1998;Schaerer & de Barros 2009;Atek et al 2011;Curtis-Lake et al 2013;Stark et al 2013;Castellano et al 2014;Santini et al 2015;Pacifici et al 2015). In order to overcome this potential systematic effect for the sample of EELGs, an additional set of fits were computed after removing the contribution of emission line fluxes to the observed broadband magnitudes.…”
Section: The Low Stellar Masses Of Eelgsmentioning
confidence: 99%
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“…Demagnified number counts in the cluster fields investigated in this work compared with the previous two FFs from Castellano et al (2016). Schaerer & de Barros (2009) under the assumption of an escape fraction of ionizing photons fesc = 0.0 (see also Castellano et al 2014). The FFs allow us to probe the galaxy distribution down to very low masses and SFRs, including objects with M ∼ 10 7 M and S FR ∼ 0.1-1 M yr −1 at z > 6, depending on magnification.…”
Section: Demagnified Number Counts and Rest-frame Physical Propertiesmentioning
confidence: 99%
“…To calculate the expected β, we use the Calzetti et al (2000) dust attenuation law to calculate the amount of dust attenuation at restframe 1600 Å from E B V ( ) - ) to calculate the expected β. We show the Meurer et al (1999) relation as a solid line and the Castellano et al (2014) relation as a dashed line in Figure 13. The scatter of the measured β of our sample is larger than the difference between the two empirical calibrations, but the distribution is roughly consistent with both calibrations.…”
Section: Modeling Biases and Uncertaintiesmentioning
confidence: 99%