MWGaiaDN: Revealing the Milky Way with Gaia
MWGaiaDN: Revealing the Milky Way with Gaia
批准号:
EP/X031756/1
负责人:
Daisuke Kawata
金额:
$33.8万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
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英文摘要
The Milky Way-Gaia Doctoral Network (MWGaiaDN): Revealing the Milky Way (MW) with Gaia - Excellent science, Extending techniques, Enhancing people skills, Effecting the next revolution in European led astronomy through leadership in astrometric-based science. What: Gaia, ESA's major space mission launched in Dec 2013, is now in its extended mission to map some two billion stars in the MW. It's upcoming data releases , that will provide chemical and physical annotation of the earlier positional releases, present major challenges in terms of complexity and size, hence research training to deliver a full science exploitation is essential, ensuring that Gaia is the `game changer' for astronomy How: Our DN will link major partners responsible for the development of Gaia, to form an effective and unique training network combining the best research training with a range of academic and industrial placements, specialist research and knowledge transfer workshops. It will develop and train a cohort of young researchers through a set of key science projects pushing the Gaia data to its limits. Our DN will train 10 ESRs located across 10 European beneficiaries, benefiting from the participation of 13 associate partners. These include major industry (e.g. AirbusDS, TAS), at the forefront of Space and Information technologies; SME Industry (e.g. DAPCOM, Suil), innovating new technologies for Space and partners leading the development of next generation astrometry missions outside of Europe (NAOJ). Relevance: It will shape the delivery of training in astrometry and the study of the MW across Europe: delivering key insights into the structure and formation of our Galaxy; delivering the roadmap for the next generation of astrometric space telescopes; equipping the ESRs with skills to drive the next innovative steps in this crucial area of space discovery, as well as enabling them to contribute to the future, growth and challenges of the big data industry and commerce.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
The impact of bar origin and morphology on stellar migration
棒的起源和形态对恒星迁移的影响
DOI:
10.1093/mnras/stad3377
发表时间:
2024
期刊:
Monthly Notices of the Royal Astronomical Society
影响因子:
4.8
作者:
[Iles E]
通讯作者:
Iles E
A high fidelity Milky Way simulation with Kraken, Gaia-Enceladus, and Sequoia analogues: clues to their accretion histories
用 Kraken、Gaia-Enceladus 和 Sequoia 类似物进行的高保真银河系模拟:它们吸积历史的线索
DOI:
10.1093/mnras/stad2832
发表时间:
2023
期刊:
Monthly Notices of the Royal Astronomical Society
影响因子:
4.8
作者:
[García-Bethencourt G]
通讯作者:
García-Bethencourt G
Growing Local arm inferred by the breathing motion
通过呼吸运动推断局部手臂正在生长
DOI:
10.1093/mnrasl/slad190
发表时间:
2023
期刊:
Letters
影响因子:
--
作者:
[Asano T]
通讯作者:
Asano T
海外基金