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Differential attenuation in star-forming galaxies at 0.3 less than or similar to z less than or similar to 1.5 in the SHARDS/CANDELS fields

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2022-02
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Wiley
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We use a sample of 706 galaxies, selected as [O II]lambda 3727 ([O II]) emitters in the Survey for High-z Absorption Red and Dead Sources SHARDS) on the CANDELS/GOODS-N field, to study the differential attenuation of the nebular emission with respect to the stellar continuum. The sample includes only galaxies with a counterpart in the infrared and log(10) (M-*/M-circle dot) > 9, over the redshift interval 0.3 less than or similar to z less than or similar to 1.5. Our methodology consists in the comparison of the star formation rates inferred from [O II] and Haemission lines with a robust quantification of the total star-forming activity (SFR TOT) that is independently estimated based on both infrared and ultraviolet (UV) luminosities. We obtain f = E(B - V)(stellar)/E(B - V)(nebular) = 0.69(0.69)(0.71) and 0.55(0.53)(0.56) for [O II] and H alpha, respectively. Our resulting f-factors display a significant positive correlation with the UV attenuation and shallower or not-significant trends with the stellar mass, the SFR TOT, the distance to the main sequence, and the redshift. Finally, our results favour an average nebular attenuation curve similar in shape to the typical dust curve of local starbursts.
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© 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. Artículo firmado por 24 autores. We are grateful to the anonymous referee for her/his constructive comments. 1,R -M thanks Casiana Mufoz Tuthill for useful suggestions on this manuscript. LR-M, GR, and AF acknowledge the support from grant PRIN MIUR 2017-20173ML3WW_001. LR-M also acknowledges funding support from the University degli Studi di Padova -Dipartimento di Fisica e Astronomia '(1. Gal ilei'. POP -G and LC acknowledge support from Spanish Ministerio de Ciencia, Innovación y Universidades through grant PGC2018-093499-13100. LC acknowledges also financial support from Comunidad de Madrid under Atraccian de Talents grant 2018-T2/TIC-11612. AVG acknowledges support from the European Research Council through the Advanced Grant MIST (H7/2017-2020, No. 742719). AP gratefully acknowledges financial support from STFC through grants ST/T000244/1 and ST/P000541/1. Analyses were performed in R 3.6.1 (R Core Team 2019).
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