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SUNRISE: The rich molecular inventory of high-redshift dusty galaxies revealed by broadband spectral line surveys by Yang, Chentao; Omont, Alain; Martín, Sergio; Bisbas, Thomas G.; Cox, Pierre; Beelen, Alexandre; González-Alfonso, Eduardo; Gavazzi, Raphaël; Aalto, Susanne; Andreani, Paola; Ceccarelli, Cecilia; Gao, Yu; Gorski, Mark; Guélin, Michel; Fu, Hai; Ivison, R. J.; Knudsen, Kirsten K.; Lehnert, Matthew; Messias, Hugo; Muller, Sebastien; Neri, Roberto; Riechers, Dominik; van der Werf, Paul; Zhang, Zhi-Yu is a scholarly article available to read on EtoBox.

What is SUNRISE: The rich molecular inventory of high-redshift dusty galaxies revealed by broadband spectral line surveys about?

Understanding the nature of high-$z$ dusty galaxies requires a comprehensive view of their ISM and molecular complexity. However, the molecular ISM at high-$z$ is commonly studied using only a few species beyond CO, limiting our understanding. In this paper, we present the results of deep 3 mm spectral line surveys using the NOEMA targeting two lensed dusty galaxies: APM 08279+5255 (APM), a quasar at redshift $z=3.911$, and NCv1.143 (NC), a $z=3.565$ starburst galaxy. The spectral line surveys cover rest-frame frequencies from about 330-550 GHz. We report the detection of 38 and 25 emission lines in APM and NC, respectively. The spectra reveal the chemical richness and the complexity of the physical properties of the ISM. By comparing the spectra of the two sources and combining the gas excitation analysis, we find that the physical properties and the chemical imprints of the ISM are different between them: the molecular gas is more excited in APM, exhibiting higher molecular-gas temperatures and densities compared to NC; the chemical abundances in APM are akin to the values of local AGN, showing boosted relative abundances of the dense gas tracers that might be related to high-tem

Author

Yang, Chentao; Omont, Alain; Martín, Sergio; Bisbas, Thomas G.; Cox, Pierre; Beelen, Alexandre; González-Alfonso, Eduardo; Gavazzi, Raphaël; Aalto, Susanne; Andreani, Paola; Ceccarelli, Cecilia; Gao, Yu; Gorski, Mark; Guélin, Michel; Fu, Hai; Ivison, R. J.; Knudsen, Kirsten K.; Lehnert, Matthew; Messias, Hugo; Muller, Sebastien; Neri, Roberto; Riechers, Dominik; van der Werf, Paul; Zhang, Zhi-Yu

Published

2023

Language

EN