Stochasticity in Star Clusters: Reduced Random Sampling Method
This paper aims to contribute to the debate taking place nowadays on the two extreme schemes of sampling the stellar masses within star clusters, known as Optimal Sampling and Random Sampling. We propose a new method for sampling of stellar masses in star clusters which allows a continuous transitio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2014-12-01
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| Series: | Open Astronomy |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/astro-2017-0182 |
| _version_ | 1818581937898389504 |
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| author | de Meulenaer P. Narbutis D. Mineikis T. Vansevičius V. |
| author_facet | de Meulenaer P. Narbutis D. Mineikis T. Vansevičius V. |
| author_sort | de Meulenaer P. |
| collection | DOAJ |
| description | This paper aims to contribute to the debate taking place nowadays on the two extreme schemes of sampling the stellar masses within star clusters, known as Optimal Sampling and Random Sampling. We propose a new method for sampling of stellar masses in star clusters which allows a continuous transition between the Optimal Sampling and the Random Sampling. We use a sample of young star clusters from the literature to calibrate the amount of stochasticity generated by the proposed method. |
| first_indexed | 2024-12-16T07:41:26Z |
| format | Article |
| id | doaj.art-29eeb009e27344a7b579ac4f22c14e34 |
| institution | Directory Open Access Journal |
| issn | 2543-6376 |
| language | English |
| last_indexed | 2024-12-16T07:41:26Z |
| publishDate | 2014-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Astronomy |
| spelling | doaj.art-29eeb009e27344a7b579ac4f22c14e342022-12-21T22:39:04ZengDe GruyterOpen Astronomy2543-63762014-12-01233-419920710.1515/astro-2017-0182astro-2017-0182Stochasticity in Star Clusters: Reduced Random Sampling Methodde Meulenaer P.0Narbutis D.1Mineikis T.2Vansevičius V.3 Center for Physical Sciences and Technology, Savanorių 231, Vilnius LT-02300, Lithuania Center for Physical Sciences and Technology, Savanorių 231, Vilnius LT-02300, Lithuania Center for Physical Sciences and Technology, Savanorių 231, Vilnius LT-02300, Lithuania Center for Physical Sciences and Technology, Savanorių 231, Vilnius LT-02300, LithuaniaThis paper aims to contribute to the debate taking place nowadays on the two extreme schemes of sampling the stellar masses within star clusters, known as Optimal Sampling and Random Sampling. We propose a new method for sampling of stellar masses in star clusters which allows a continuous transition between the Optimal Sampling and the Random Sampling. We use a sample of young star clusters from the literature to calibrate the amount of stochasticity generated by the proposed method.https://doi.org/10.1515/astro-2017-0182galaxies: star clusters: general |
| spellingShingle | de Meulenaer P. Narbutis D. Mineikis T. Vansevičius V. Stochasticity in Star Clusters: Reduced Random Sampling Method Open Astronomy galaxies: star clusters: general |
| title | Stochasticity in Star Clusters: Reduced Random Sampling Method |
| title_full | Stochasticity in Star Clusters: Reduced Random Sampling Method |
| title_fullStr | Stochasticity in Star Clusters: Reduced Random Sampling Method |
| title_full_unstemmed | Stochasticity in Star Clusters: Reduced Random Sampling Method |
| title_short | Stochasticity in Star Clusters: Reduced Random Sampling Method |
| title_sort | stochasticity in star clusters reduced random sampling method |
| topic | galaxies: star clusters: general |
| url | https://doi.org/10.1515/astro-2017-0182 |
| work_keys_str_mv | AT demeulenaerp stochasticityinstarclustersreducedrandomsamplingmethod AT narbutisd stochasticityinstarclustersreducedrandomsamplingmethod AT mineikist stochasticityinstarclustersreducedrandomsamplingmethod AT vanseviciusv stochasticityinstarclustersreducedrandomsamplingmethod |