Projects per year
Abstract
After the Big Bang, it took about 200 million years before the very first stars would form - now more than 13 billion years ago. Unfortunately, we will not be able to observe these stars directly. Instead, we can observe the'fossil' records that these stars have left behind, preserved in the oldest stars of our own galaxy. When the first stars exploded as supernovae, their ashes were dispersed and the next generation of stars formed, incorporating some of the debris. We can now measure the chemical abundances in those old stars, which is similar to a genetic fingerprint that allows us to identify the parents. In this paper, we develop a Genetic Algorithm (GA) for identifying the'parents' of these old stars in our galaxy. The objective is to study the now extinct first stars in the universe - what their properties were, how they lived and died, how many they were, and even how different or alike they were. The GA is evaluated on its effectiveness in finding the right combination of ashes from theoretical models. The solutions found by the GA are compared to observational data. The aim is to find out which theoretical data, i.e., abundances of chemical elements, best matches the current observations.
Original language | English |
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Title of host publication | Proceedings of the 2019 Genetic and Evolutionary Computation Conference |
Subtitle of host publication | 2019 Genetic and Evolutionary Computation Conference, GECCO 2019; Prague; Czech Republic; 13 July 2019 through 17 July 2019 |
Editors | Anne Auger, Thomas Stützle |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1129-1137 |
Number of pages | 9 |
ISBN (Electronic) | 9781450361118 |
DOIs | |
Publication status | Published - 2019 |
Event | The Genetic and Evolutionary Computation Conference 2019 - Prague, Czechia Duration: 13 Jul 2019 → 17 Jul 2019 Conference number: 21st https://gecco-2019.sigevo.org/index.html/HomePage https://dl.acm.org/doi/proceedings/10.1145/3321707 (Proceedings) |
Conference
Conference | The Genetic and Evolutionary Computation Conference 2019 |
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Abbreviated title | GECCO 2019 |
Country/Territory | Czechia |
City | Prague |
Period | 13/07/19 → 17/07/19 |
Internet address |
Keywords
- Astrophysics
- Genetic Algorithms
Projects
- 3 Finished
-
New Statistical Techniques for Galactic Archaeology
Lattanzio, J., Dowe, D. & Aleti, A.
Australian Research Council (ARC), Monash University
1/01/16 → 31/08/19
Project: Research
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Stress-testing algorithms: generating new test instances to elicit insights
Smith-Miles, K.
Australian Research Council (ARC), Monash University
8/12/14 → 31/12/19
Project: Research
-
Cosmic explosions and the origin of the elements
Heger, A.
Australian Research Council (ARC)
27/08/12 → 25/05/18
Project: Research