Deep investigation of neutral gas origins (DINGO): H <scp>i</scp> stacking experiments with early science data
J. Rhee, M. Meyer, Attila Popping, Sabine Bellstedt, Simon P. Driver, A. S. G. Robotham, M. T. Whiting, I. K. Baldry, Sarah Brough, M. J. I. Brown, John D. Bunton, Richard Dodson, Benne W. Holwerda, Andrew Hopkins, B. Koribalski, K. Lee-Waddell, Á. R. López-Sánchez, J. Loveday, E. K. Mahony, Sambit Roychowdhury, Kristóf Rozgonyi, L. Staveley‐Smith
Abstract
ABSTRACT We present early science results from Deep Investigation of Neutral Gas Origins (DINGO), an $\rm H$i survey using the Australian Square Kilometre Array Pathfinder (ASKAP). Using ASKAP subarrays available during its commissioning phase, DINGO early science data were taken over ∼60 deg2 of the Galaxy And Mass Assembly (GAMA) 23 h region with 35.5 h integration time. We make direct detections of six known and one new sources at z &lt; 0.01. Using $\rm H$ i spectral stacking, we investigate the $\rm H$ i gas content of galaxies at 0.04 &lt; z &lt; 0.09 for different galaxy colours. The results show that galaxy morphology based on optical colour is strongly linked to $\rm H$ i gas properties. To examine environmental impacts on the $\rm H$i gas content of galaxies, three subsamples are made based on the GAMA group catalogue. The average $\rm H$i mass of group central galaxies is larger than those of satellite and isolated galaxies, but with a lower $\rm H$i gas fraction. We derive a variety of $\rm H$i scaling relations for physical properties of our sample, including stellar mass, stellar mass surface density, NUV − r colour, specific star formation rate, and halo mass. We find that the derived $\rm H$i scaling relations are comparable to other published results, with consistent trends also observed to ∼0.5 dex lower limits in stellar mass and stellar surface density. The cosmic $\rm H$i densities derived from our data are consistent with other published values at similar redshifts. DINGO early science highlights the power of $\rm H$i spectral stacking techniques with ASKAP.