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Towards unveiling the Cosmic Reionization: the ionizing photon production efficiency () of Low-mass H emitters at
Nuo Chen, Kentaro Motohara, Lee Spitler +2
We investigate the galaxy properties of 400 low-mass () H emitters (HAEs) at z 2.3 in the ZFOURGE survey. The selection of these HAEs is based on…
Multiple emission lines of H emitters at from the broad and medium-band photometry in the ZFOURGE Survey
Nuo Chen, Kentaro Motohara, Lee R. Spitler +8
We present a multiple emission lines study of 1300 H emitters (HAEs) at in the ZFOURGE survey. In contrast to the traditional spectroscopic method, our sample…
Spectroscopic follow-up of statistically selected extremely metal-poor star candidates from GALAH DR3
G. S. Da Costa, M. S. Bessell, Thomas Nordlander +5
The advent of large-scale stellar spectroscopic surveys naturally leads to the implementation of machine learning techniques to isolate, for example, small sub-samples of potential…
Low star-formation activity and low gas content of quiescent galaxies at 3.5-4.0 constrained with ALMA
Tomoko L. Suzuki, Karl Glazebrook, Corentin Schreiber +10
The discovery in deep near-infrared surveys of a population of massive quiescent galaxies at has given rise to the question of how they came to be quenched so early in the hi…
A selection of Hα emitters at z = 2.1-2.5 using the Ks-band photometry of ZFOURGE
Yasunori Terao, Lee R. Spitler, Kentaro Motohara +1
Large and less-biased samples of star-forming galaxies are essential to investigate galaxy evolution. H emission line is one of the most reliable tracers of star-forming gala…
The GALAH Survey: A New Sample of Extremely Metal-Poor Stars Using A Machine Learning Classification Algorithm
Arvind C. N. Hughes, Lee R. Spitler, Daniel B. Zucker +21
Extremely Metal-Poor (EMP) stars provide a valuable probe of early chemical enrichment in the Milky Way. Here we leverage a large sample of high-resolution stellar sp…