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ALMA witnesses the assembly of first galaxies

Published online by Cambridge University Press:  04 June 2020

Stefano Carniani Open the ORCID record for Stefano Carniani [Opens in a new window]
Stefano Carniani*
Affiliation:
Scuola Normale Superiore, Piazza dei Cavalieri 7, I-56126 Pisa, Italy email: [email protected]
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Abstract

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Characterising primeval galaxies entails the challenging goal of observing galaxies with modest star formation rates (SFR < 100 Mȯyr−1) and approaching the beginning of the reionisation epoch (z > 6). To date a large number of primeval galaxies have been identified thanks to deep near-infrared surveys. However, to further our understanding on the formation and evolution of such primeval objects, we must investigate their nature and physical properties through multi-band spectroscopic observations. Information on dust content, metallicity, interactions with the surrounding environment, and outflows can be obtained with ALMA observations of far-infrared (FIR) lines such as the [Cii] at 158 μm and [Oiii] at 88 μm. Here, we, thus, discuss the recent results unveiled by ALMA observations and present new [Cii] observations of BDF-3299, a star-forming galaxy at z = 7.1 showing a spatial and spectral offset between the rest-frame UV and the FIR lines emission.

Keywords

galaxies: high-redshiftgalaxies: ISMinfrared: ISM
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S352: Uncovering Early Galaxy Evolution in the ALMA and JWST Era , June 2019 , pp. 27 - 32
Copyright
© International Astronomical Union 2020

References

Dayal & Ferrara, 2018, PhR, 780, 1DGoogle Scholar
Carniani, S., Maiolino, R., De Zotti, G., et al. 2015, A&A, 584A, 78CGoogle Scholar
Carniani, S., Maiolino, R., Pallottini, A., et al. 2017, A&A, 605A, 42CGoogle Scholar
Carniani, S., Maiolino, R., Smit, R., et al. 2018a, ApJ, 854L, 7CCrossRefGoogle Scholar
Carniani, S., Maiolino, R., Amorin, R., et al. 2018b, MNRAS, 478, 1170CCrossRefGoogle Scholar
Castellano, M., Dayal, P., Pentericci, L., et al. 2016, ApJ, 818L, 3CGoogle Scholar
Castellano, M., Pentericci, L., Vanzella, E., et al. 2018, ApJ, 863L, 3CCrossRefGoogle Scholar
Ferrara, A., Vallini, L., Pallottini, A., et al. 2019, MNRAS, 489, 1FCrossRefGoogle Scholar
Hashimoto, Takuya, Inoue, Akio K., Mawatari, Ken., et al. 2019, PASJ, tmp, 70HGoogle Scholar
Kohandel, M., Pallottini, A., Ferrara, A., et al. 2019, MNRAS, 487, 3007KCrossRefGoogle Scholar
Maiolino, R., Carniani, S., Fontana, A., et al. 2015, MNRAS, 452, 54MCrossRefGoogle Scholar
Matthee, J., Sobral, D., Boone, F., et al. 2017, ApJ, 851, 145M10.3847/1538-4357/aa9931CrossRefGoogle Scholar
Pallottini, A., Ferrara, A., Gallerani, S., et al. 2017, MNRAS, 465, 2540PCrossRefGoogle Scholar
Pallottini, A., Ferrara, A., Decataldo, D., et al. 2019, MNRAS, 487, 1689PCrossRefGoogle Scholar
Pentericci, L., Carniani, S., Castellano, M., et al. 2016, ApJ, 829L, 11PCrossRefGoogle Scholar
Robertson, B. E., Ellis, R. S., Furlanetto, S. R., & Dunlop, J. S. 2015, ApJ, 802, L1CrossRefGoogle Scholar
Vallini, L., Gallerani, S., Ferrara, A., et al. 2015, ApJ, 813, 36VCrossRefGoogle Scholar
Vallini, L., Ferrara, A., Pallottini, A., et al. 2017, MNRAS, 467, 1300VGoogle Scholar
Vanzella, E., Pentericci, L., Fontana, A., et al. 2011, ApJ, 730L, 35VCrossRefGoogle Scholar