eSSENCE@LU 6:5 - Bayesian spectroscopy: Understanding the Milky Way’s history with data-driven spectroscopy
Project: Research › Interdisciplinary research, Internal collaboration (LU), National collaboration
Description
In order to understand how the Milky Way was built up over cosmic time we wish to study its stars to answer two key questions:
1. When were the Milky Way’s stars born?
2. What was the chemical composition of the gas from which they were born?
The key physical tracer for understanding the Milky Way’s history is heavy chemical elements. All such elements formed in stars, and stars carry with them a record of the elemental abundances in the gas from which they formed. To study the history of the MilkyWay we wish to measure the ages and chemistry of millions of stars, which poses a methodological and computational challenge that can only be overcome by the use of e-Science.
1. When were the Milky Way’s stars born?
2. What was the chemical composition of the gas from which they were born?
The key physical tracer for understanding the Milky Way’s history is heavy chemical elements. All such elements formed in stars, and stars carry with them a record of the elemental abundances in the gas from which they formed. To study the history of the MilkyWay we wish to measure the ages and chemistry of millions of stars, which poses a methodological and computational challenge that can only be overcome by the use of e-Science.
| Short title | eSSENCE@LU 6:5 |
|---|---|
| Status | Active |
| Effective start/end date | 2020/01/01 → 2021/12/31 |
Participants
Related projects
(Successor)
Sofia Feltzing, Ross Church, David Hobbs, Thomas Bensby, Nils Ryde, Henrik Hartman, Paul Mcmillan, Henrik Jönsson, Oscar Agertz, Louise Howes, Iryna Kushniruk, Oscar Agertz, Gregor Traven & Diane Feuillet
2011/01/01 → 2028/12/31
Project: Research › International collaboration, Other collaboration
