Evolving stellar models to find the origins of our galaxy

Conrad Chan, Alexander Heger, Aldeida Aleti, Kate Smith-Miles

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2019 Genetic and Evolutionary Computation Conference
Subtitle of host publication2019 Genetic and Evolutionary Computation Conference, GECCO 2019; Prague; Czech Republic; 13 July 2019 through 17 July 2019
EditorsAnne Auger, Thomas Stützle
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages1129-1137
Number of pages9
ISBN (Electronic)9781450361118
DOIs
Publication statusPublished - 2019
EventGenetic and Evolutionary Computation Conference 2019 - Prague, Czech Republic
Duration: 13 Jul 201917 Jul 2019
https://gecco-2019.sigevo.org/index.html/HomePage

Conference

ConferenceGenetic and Evolutionary Computation Conference 2019
Abbreviated titleGECCO 2019
CountryCzech Republic
CityPrague
Period13/07/1917/07/19
Internet address

Keywords

  • Astrophysics
  • Genetic Algorithms

Cite this

Chan, C., Heger, A., Aleti, A., & Smith-Miles, K. (2019). Evolving stellar models to find the origins of our galaxy. In A. Auger, & T. Stützle (Eds.), Proceedings of the 2019 Genetic and Evolutionary Computation Conference: 2019 Genetic and Evolutionary Computation Conference, GECCO 2019; Prague; Czech Republic; 13 July 2019 through 17 July 2019 (pp. 1129-1137). New York NY USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/3321707.3321714
Chan, Conrad ; Heger, Alexander ; Aleti, Aldeida ; Smith-Miles, Kate. / Evolving stellar models to find the origins of our galaxy. Proceedings of the 2019 Genetic and Evolutionary Computation Conference: 2019 Genetic and Evolutionary Computation Conference, GECCO 2019; Prague; Czech Republic; 13 July 2019 through 17 July 2019. editor / Anne Auger ; Thomas Stützle. New York NY USA : Association for Computing Machinery (ACM), 2019. pp. 1129-1137
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title = "Evolving stellar models to find the origins of our galaxy",
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.",
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Chan, C, Heger, A, Aleti, A & Smith-Miles, K 2019, Evolving stellar models to find the origins of our galaxy. in A Auger & T Stützle (eds), Proceedings of the 2019 Genetic and Evolutionary Computation Conference: 2019 Genetic and Evolutionary Computation Conference, GECCO 2019; Prague; Czech Republic; 13 July 2019 through 17 July 2019. Association for Computing Machinery (ACM), New York NY USA, pp. 1129-1137, Genetic and Evolutionary Computation Conference 2019, Prague, Czech Republic, 13/07/19. https://doi.org/10.1145/3321707.3321714

Evolving stellar models to find the origins of our galaxy. / Chan, Conrad; Heger, Alexander; Aleti, Aldeida; Smith-Miles, Kate.

Proceedings of the 2019 Genetic and Evolutionary Computation Conference: 2019 Genetic and Evolutionary Computation Conference, GECCO 2019; Prague; Czech Republic; 13 July 2019 through 17 July 2019. ed. / Anne Auger; Thomas Stützle. New York NY USA : Association for Computing Machinery (ACM), 2019. p. 1129-1137.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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N2 - 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.

AB - 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.

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PB - Association for Computing Machinery (ACM)

CY - New York NY USA

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Chan C, Heger A, Aleti A, Smith-Miles K. Evolving stellar models to find the origins of our galaxy. In Auger A, Stützle T, editors, Proceedings of the 2019 Genetic and Evolutionary Computation Conference: 2019 Genetic and Evolutionary Computation Conference, GECCO 2019; Prague; Czech Republic; 13 July 2019 through 17 July 2019. New York NY USA: Association for Computing Machinery (ACM). 2019. p. 1129-1137 https://doi.org/10.1145/3321707.3321714