A two-dimensional Kolmogorov-Smirnov test for crowded field source detection: ROSAT sources in NGC 6397
arXiv:astro-ph/0204391 · doi:10.1046/j.1365-8711.2002.05595.x
Abstract
We present a two-dimensional version of the classical one-dimensional Kolmogorov-Smirnov (K-S) test, extending an earlier idea due to Peacock (1983) and an implementation proposed by Fasano & Franceschini (1987). The two-dimensional K-S test is used to optimise the goodness of fit in an iterative source-detection scheme for astronomical images. The method is applied to a ROSAT/HRI x-ray image of the post core-collapse globular cluster NGC 6397 to determine the most probable source distribution in the cluster core. Comparisons to other widely-used source detection methods, and to a Chandra image of the same field, show that our iteration scheme is superior in measuring statistics-limited sources in severely crowded fields.
12 pages, 6 figures, 6 tables. Accepted by MNRAS
References in corpus (2)
Cited by in corpus (9)
- A Deep Chandra Survey of the Globular Cluster 47 Tucanae: Catalog of Point Sources
- Stellar Proper Motions in the Galactic Bulge from deep HST ACS/WFC Photometry
- Constraining properties of GRB magnetar central engines using the observed plateau luminosity and duration correlation
- Probabilistic Catalogs for Crowded Stellar Fields
- A critical analysis of high-redshift, massive galaxy clusters: I
- Statistical Analysis of the Correlation between Active Galactic Nuclei and Ultra-High Energy Cosmic Rays
- Unbinned maximum-likelihood estimators for low-count data: Applications to faint X-ray spectra in the Taurus Molecular Cloud
- Deciphering the properties of the central engine in GRB collapsars
- Assessing virtualization effects in simulations of distributed robotics