Star Cluster Detection and Characterization using Generalized Parzen Density Estimation

Abstract

Star cluster studies hold the key to understanding star formation, stellar evolution, and origin of galaxies. The detection and characterization of clusters depend on the underlying background density and the cluster richness. We examine the ability of the Parzen Density Estimation (a.k.a. Parzen Windows) method, which is a generalization of the well-known Star Count method, to detect clusters and measure their properties. We apply it on a range of simulated and real star fields, considering square and circular windows, with and without Gaussian kernel smoothing. Our method successfully identifies clusters and we suggest an optimal standard deviation of the Gaussian Parzen window for obtaining the best estimates of these parameters. Finally, we demonstrate that the Parzen Windows with Gaussian kernels are able to detect small clusters in regions of relatively high background density where the Star Count method fails.

arXiv comment17 pages, 15 figures, accepted for publication by MNRAS

References in corpus (34)

• The Wide-field Infrared Survey Explorer (WISE): Mission Description and Initial On-orbit Performance
• Embedded Clusters in Molecular Clouds
• The UKIRT Infrared Deep Sky Survey (UKIDSS)
• A Universal Stellar Initial Mass Function? A Critical Look at Variations
• The UKIDSS Galactic Plane Survey
• High-Mass Proto-Stellar Candidates - I : The Sample and Initial Results
• The Optical-Infrared Extinction Curve and its Variation in the Milky Way
• The Initial Configuration of Young Stellar Clusters: A K-band Number Counts Analysis of the Surface Density of Stars
• The distinction between star clusters and associations
• Clouds, Streams and Bridges. Redrawing the blueprint of the Magellanic System with Gaia DR1
• The distribution of old stars around the Milky Way's central black hole I: Star counts
• Globular clusters in the Galactic bulge
• The Nuclear Cluster of the Milky Way: Total Mass and Luminosity (long version)
• The age of the young bulge-like population in the stellar system Terzan5: linking the Galactic bulge to the high-z Universe
• The Youngest Stellar clusters Clusters associated with massive protostellar candidates
• The physics and modes of star cluster formation: observations
• New galactic star clusters discovered in the VVV survey. Candidates projected on the inner disk and bulge
• Identifying star clusters in a field: A comparison of different algorithms
• The treatment of mixing in core helium burning models -- II. Constraints from cluster star counts
• Comparisons between different techniques for measuring mass segregation
• A highly efficient measure of mass segregation in star clusters
• Star formation around the HII region Sh2-235
• Star-formation rates from young-star counts and the structure of the ISM across the NGC346/N66 complex in the SMC
• Study of morphology and stellar content of the Galactic HII region IRAS 16148-5011
• Open-cluster density profiles derived using a kernel estimator
• How fast is mass-segregation happening in hierarchical formed embedded star clusters?
• Star clusters as laboratories for stellar and dynamical evolution
• Sh2-138: Physical environment around a small cluster of massive stars
• A WISE Survey of New Star Clusters in the Central Plane Region of the Milky Way
• Looking for phase-space structures in star-forming regions: An MST-based methodology
• Star complexes and stellar populations in NGC 6822 - Comparison with the Magellanic Clouds
• Candidate star clusters toward the inner Milky Way discovered on deep-stacked Ks-band images from the VVV Survey
• A Ring Shaped Embedded Young Stellar (Proto)Cluster
• The formation, disruption and properties of pressure-supported stellar systems and implications for the astrophysics of galaxies

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