WALLABY Pilot Survey: Public release of HI kinematic models for more than 100 galaxies from phase 1 of ASKAP pilot observations

• Published in: Publications of the Astronomical Society of Australia 2022, Vol.39, Article e059
• Main Authors: Deg, N., Spekkens, K., Westmeier, T., Reynolds, T. N., Venkataraman, P., Goliath, S., Shen, A. X., Halloran, R., Bosma, A., Catinella, B, de Blok, W. J. G., Dénes, H., DiTeodoro, E. M., Elagali, A., For, B.-Q., Howlett, C, Józsa, G. I. G., Kamphuis, P., Kleiner, D., Koribalski, B, Lee-Waddell, K., Lelli, F., Lin, X., Murugeshan, C., Oh, S., Rhee, J., Scott, T. C., Staveley-Smith, L., van der Hulst, J. M., Verdes-Montenegro, L., Wang, J., Wong, O. I.
• Format: Article
• Language: English
• Subjects: Sciences of the Universe
• ISSN: 1323-3580; 1448-6083
• DOI: 10.1017/pasa.2022.43

We present the Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) Pilot Phase I Hi kinematic models. This first data release consists of Hi observations of three fields in the direction of the Hydra and Norma clusters, and the NGC 4636 galaxy group. In this paper, we describe how we generate and publicly release flat-disk tilted-ring kinematic models for 109/592 unique Hi detections in these fields. The modelling method adopted here—which we call the WALLABY Kinematic Analysis Proto-Pipeline (WKAPP) and for which the corresponding scripts are also publicly available—consists of combining results from the homogeneous application of the FAT and 3DBarolo algorithms to the subset of 209 detections with sufficient resolution and $S/N$ in order to generate optimised model parameters and uncertainties. The 109 models presented here tend to be gas rich detections resolved by at least 3–4 synthesised beams across their major axes, but there is no obvious environmental bias in the modelling. The data release described here is the first step towards the derivation of similar products for thousands of spatially resolved WALLABY detections via a dedicated kinematic pipeline. Such a large publicly available and homogeneously analysed dataset will be a powerful legacy product that that will enable a wide range of scientific studies.