The ALPINE-ALMA [C II] Survey: [C II]158micron Emission Line Luminosity Functions at $z \sim 4-6$

@article{Yan2020TheA,
  title={The ALPINE-ALMA [C II] Survey: [C II]158micron Emission Line Luminosity Functions at \$z \sim 4-6\$},
  author={L. Yan and A. {\vS}ajina and F. Loiacono and G. Lagache and M. B'ethermin and A. Faisst and M. Ginolfi and O. L. F{\`e}vre and C. Gruppioni and P. Capak and P. Cassata and D. Schaerer and J. Silverman and S. Bardelli and M. Dessauges-Zavadsky and A. Cimatti and N. Hathi and B. Lemaux and E. Ibar and G. C. Jones and A. M. Koekemoer and P. Oesch and M. Talia and F. Pozzi and D. A. Riechers and L. Tasca and S. Toft and L. Vallini and D. Vergani and G. Zamorani and E. Zucca},
  journal={arXiv: Astrophysics of Galaxies},
  year={2020}
}
  • L. Yan, A. Šajina, +28 authors E. Zucca
  • Published 2020
  • Physics
  • arXiv: Astrophysics of Galaxies
  • We present the [CII]158μm line luminosity functions (LFs) at z ∼ 4−6 using the ALMA observations of 118 sources, which are selected to have UV luminosity M_(1500A) 10⁹ L_⊙) compared to z∼0. This excess is consistent with a potential population of [C II]-bright UV-faint sources that are largely excluded from the ALPINE target selection. To further constrain such sources, in a companion analysis, Loiacono et al. (2020) estimate the [C II] LF based on serendipitous [C II] sources in the ALPINE… CONTINUE READING
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    References

    SHOWING 1-7 OF 7 REFERENCES
    The ALPINE-ALMA [CII] Survey: A Triple Merger at z~4.56
    • 10
    • PDF
    The ALPINE-ALMA [CII] Survey: data processing, catalogs, and statistical source properties
    • 26
    • PDF
    The ALPINE-ALMA [CII] survey: Molecular gas budget in the Early Universe as traced by [CII]
    • 6
    • PDF
    Panchromatic Study of the First Galaxies with Large ALMA Programs.
    • 5
    • PDF
    SciPy: Open source scientific tools
    • 2017
    SciPy: Open Source Scientific Tools for Python
    • 7,056
    • Highly Influential