2011
DOI: 10.1002/asna.201011484
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Identifying star clusters in a field: A comparison of different algorithms

Abstract: Key words open clusters and associations: general -methods: statisticalStar clusters are often hard to find, as they may lie in a dense field of background objects or, because in the case of embedded clusters, they are surrounded by a more dispersed population of young stars. This paper discusses four algorithms that have been developed to identify clusters as stellar density enhancements in a field, namely stellar density maps from star counts, the nearest neighbour method and the Voronoi tessellation, and th… Show more

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Cited by 69 publications
(77 citation statements)
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References 97 publications
(121 reference statements)
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“…As described in Schmeja (2011), large values of S det will be able to detect real overdensities only in low background density regions. On the other hand, low S det values may be able to extract clusters in high background density regions (e.g., the LMC bar), at the cost of detecting many false associations (results of random projections) in the lower density regions, such as the outskirts of the galaxy.…”
Section: Implementing the Detection Sequencementioning
confidence: 96%
“…As described in Schmeja (2011), large values of S det will be able to detect real overdensities only in low background density regions. On the other hand, low S det values may be able to extract clusters in high background density regions (e.g., the LMC bar), at the cost of detecting many false associations (results of random projections) in the lower density regions, such as the outskirts of the galaxy.…”
Section: Implementing the Detection Sequencementioning
confidence: 96%
“…Initially, we adopt the star count method outlined in Schmeja (2011). The entire field is subdivided into rectilinear grids of overlapping squares.…”
Section: Revisiting the Cluster Associated With Iras 20286+4105mentioning
confidence: 99%
“…Each square grid acts as a single point for producing the surface density map. The square grids with star counts greater than some significant threshold (∼ 2 -5σ) above the background are regions of density enhancements and hence are considered as potential cluster locations (Schmeja 2011). In our case, the mode (0.019 stars arcsec −2 or 312 stars pc −2 ) of the grids is considered to be the background and the noise/fluctuation in them defines σ which is estimated to be 0.005 stars arcsec −2 or 82 stars pc −2 .…”
Section: Revisiting the Cluster Associated With Iras 20286+4105mentioning
confidence: 99%
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“…Casertano & Hut 1985;Schmeja, Kumar & Ferreira 2008;Schmeja 2011). We have performed 20NN surface density analysis because Monte Carlo simulations show that 20NN is adequate to detect cluster with 10 to 1500 YSOs (Schmeja, Kumar & Ferreira 2008).…”
Section: Surface Density Of Ysosmentioning
confidence: 99%