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Can I read The ALPINE-ALMA [CII] survey: dust attenuation curves at z=4.4-5.5 on EtoBox?
The ALPINE-ALMA [CII] survey: dust attenuation curves at z=4.4-5.5 by Boquien, Mederic; Buat, Veronique; Burgarella, Denis; Bardelli, Sandro; Bethermin, Matthieu; Faisst, Andreas; Ginolfi, Michele; Hathi, Nimish; Jones, Gareth; Koekemoer, Anton; Lemaux, Brian; Narayanan, Desika; Romano, Michael; Schaerer, Daniel; Vergani, Daniela; Zamorani, Giovanni; Zucca, Elena is a scholarly article available to read on EtoBox.
What is The ALPINE-ALMA [CII] survey: dust attenuation curves at z=4.4-5.5 about?
There is now ample evidence that dust is already present in abundance at high z. However, given the faintness of distant galaxies in the optical and the NIR, datasets are still limited and how the dust affects the emerging radiation of galaxies at very high redshift is not yet fully understood. Using the ALPINE survey, our objective is to quantify the dust attenuation properties in galaxies at z=4.4-5.5, and in particular the shape of their attenuation curve. Using the CIGALE code, we model the stellar populations and their interaction with the dust in order to measure some of the physical properties of a subsample of 23 main-sequence ALPINE galaxies. We find that the attenuation curves span a broad range of properties, from curves that are much steeper than the SMC extinction curve, to shallower than the starburst attenuation curve. The shape of the attenuation curves strongly depends on the V-band attenuation. Galaxies with the lowest attenuation also present the steepest curves. The steepness of such curves is probably the consequence of the combination of the intrinsic physical properties of the dust, the relative distribution of stars and dust in the interstellar medium, and t
- Author
- Boquien, Mederic; Buat, Veronique; Burgarella, Denis; Bardelli, Sandro; Bethermin, Matthieu; Faisst, Andreas; Ginolfi, Michele; Hathi, Nimish; Jones, Gareth; Koekemoer, Anton; Lemaux, Brian; Narayanan, Desika; Romano, Michael; Schaerer, Daniel; Vergani, Daniela; Zamorani, Giovanni; Zucca, Elena
- Published
- 2022
- Language
- EN