Journal article

The SAMI Galaxy Survey: understanding observations of large-scale outflows at low redshift with EAGLE simulations

E Tescari, L Cortese, C Power, JSB Wyithe, I-T Ho, RA Crain, J Bland-Hawthorn, SM Croom, LJ Kewley, J Schaye, RG Bower, T Theuns, M Schaller, L Barnes, S Brough, JJ Bryant, M Goodwin, MLP Gunawardhana, JS Lawrence, SK Leslie Show all

Monthly Notices of the Royal Astronomical Society | OXFORD UNIV PRESS | Published : 2018

University of Melbourne Researchers

Grants

Awarded by Australian Research Council Future Fellowship


Awarded by NASA through Hubble Fellowship grant - Space Telescope Science Institute


Awarded by NASA


Awarded by Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO)


Awarded by BIS National E-Infrastructure capital grant


Awarded by STFC


Awarded by STFC DiRAC Operations grant


Funding Acknowledgements

ET would like to thank Lemmy Kilmister for constant inspiration during the writing of this paper and Jeremy Mould & Paul Geil for many insightful discussions. RAC is a Royal Society University Research Fellow. SMC acknowledges the support of an Australian Research Council Future Fellowship (FT100100457). Support for AMM is provided by NASA through Hubble Fellowship grant # HST-HF2-51377 awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. The SAMI Galaxy Survey is based on observations made at theAnglo-Australian Telescope. The Sydney-AAOMulti-object Integral field spectrograph (SAMI) was developed jointly by the University of Sydney and the AAO. The SAMI input catalogue is based on data taken from the Sloan Digital Sky Survey, the GAMA Survey and the VST ATLAS Survey. The SAMI Galaxy Survey is funded by the Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), through project number CE110001020, and other participating institutions. The SAMI Galaxy Survey website is http://sami-survey.org/. Part of this research was done using the National Computational Infrastructure (NCI) Raijin-distributed memory cluster and supported by the Flagship Allocation Scheme of the NCI National Facility at the Australian National University (ANU). For the post-processing, we used the Edward and Spartan High Performance Computing (HPC) clusters at the University of Melbourne. This work also used the DiRAC Data Centric system at Durham University, operated by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility (http://dirac.ac.uk). The DiRAC system was funded by BIS National E-Infrastructure capital grant ST/K00042X/1, STFC capital grants ST/H008519/1 and ST/K00087X/1, STFC DiRAC Operations grant ST/K003267/1 and Durham University. DiRAC is part of the National E-Infrastructure. This work was supported by STFC grant ST/L00075X/1.