Stochasticity in Star Clusters: Reduced Random Sampling Method

de Meulenaer P.; Narbutis D.; Mineikis T.; Vansevičius V.

doi:10.1515/astro-2017-0182

Open Astronomy (Dec 2014)

Stochasticity in Star Clusters: Reduced Random Sampling Method

de Meulenaer P.,
Narbutis D.,
Mineikis T.,
Vansevičius V.

Affiliations

de Meulenaer P.: Center for Physical Sciences and Technology, Savanorių 231, Vilnius LT-02300, Lithuania
Narbutis D.: Center for Physical Sciences and Technology, Savanorių 231, Vilnius LT-02300, Lithuania
Mineikis T.: Center for Physical Sciences and Technology, Savanorių 231, Vilnius LT-02300, Lithuania
Vansevičius V.: Center for Physical Sciences and Technology, Savanorių 231, Vilnius LT-02300, Lithuania

DOI: https://doi.org/10.1515/astro-2017-0182
Journal volume & issue: Vol. 23, no. 3-4
pp. 199 – 207

Abstract

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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.

galaxies: star clusters: general

Published in Open Astronomy

ISSN: 2543-6376 (Online)
Publisher: De Gruyter
Country of publisher: Poland
LCC subjects: Science: Astronomy
Website: https://www.degruyter.com/view/j/astro

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