This year marks the 50th year of Australia-China diplomatic relations and there will be an impressive line-up of invited speakers as well as plenty of opportunity for members of both the Australian and Chinese communities to present their latest research. The workshop will cover all areas of astronomical collaboration between Australian and China.
China and Australia are located in similar time zones, and an equatorial region of the sky can be simultaneously observed by telescopes in both countries. In addition, the combined array […]
The ACAMAR Gas in Galaxies workshop will discuss: HI science related to ISM physics, galaxy evolution, and cosmology; Synergies with multiwavelength optical, IR and millimetre facilities; How to most effectively extract science from existing and up-coming surveys and how to coordinate to maximise science impact. This event will be held in Perth, Australia – see the event website for more details.
The primary aim of the ACAMAR 9 workshop is to bring together members of the Australian and Chinese astronomy communities to discuss all areas of astronomical collaboration between Australian and China. ACAMAR 9 will be held at The Vines Resort in the beautiful Swan Valley region of Western Australia.
The goal of this workshop is to foster collaboration and new scientific projects surrounding ongoing Cosmic Magnetism surveys. The format of the workshop will draw inspiration from the SKA Big Data Workshop (2019) and other Hackathons, with a focus on small group sessions to make real progress on new Cosmic Magnetism science.
The ACAMAR 10 Workshop will be held from 12 - 15 May 2024 in Guangzhou, China. The primary aim of this workshop is to bring together members of the Australian and Chinese astronomy communities to discuss all areas of astronomical collaboration between Australian and China, with the main themes being: Fast radio bursts, pulsars and gravitational waves; Galactic astronomy; Facilities (including SKA, ASKAP, MWA, FAST and Antarctic astronomy); Time-domain astronomy; Galaxies and cosmology; Machine learning, virtual observatories and big data challenges.
