SimClust - A Program to Simulate Star Clusters
V. Deveikis (1), D. Narbutis (1,2), R. Stonkute (2), A. Bridzius (2),, V. Vansevicius (1,2) ((1) Vilnius Univ. Obs., Lithuania, (2) Inst. of, Physics, Lithuania)
TL;DR
SimClust is a Monte-Carlo simulation tool for modeling star clusters, aiding in the analysis of their photometric and structural properties, especially considering stochastic effects in low-mass clusters.
Contribution
It introduces a new software tool that simulates realistic star cluster images incorporating stochastic effects, useful for optimizing detection and analysis methods.
Findings
Stochastic effects significantly impact low-mass cluster parameters.
SimClust effectively models star distributions for extragalactic clusters.
The tool helps improve cluster detection and parameter estimation.
Abstract
We present a program tool, SimClust, designed for Monte-Carlo modeling of star clusters. It populates the available stellar isochrones with stars according to the initial mass function and distributes stars randomly following the analytical surface number density profile. The tool is aimed at simulating realistic images of extragalactic star clusters and can be used to: (i) optimize object detection algorithms, (ii) perform artificial cluster tests for the analysis of star cluster surveys, and (iii) assess the stochastic effects introduced into photometric and structural parameters of clusters due to random distribution of luminous stars and non-uniform interstellar extinction. By applying SimClust, we have demonstrated a significant influence of stochastic effects on the determined photometric and structural parameters of low-mass star clusters in the M31 galaxy disk. The source code…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research