{ "id": "1010.5944", "version": "v1", "published": "2010-10-28T12:40:00.000Z", "updated": "2010-10-28T12:40:00.000Z", "title": "Statistical comparison of clouds and star clusters", "authors": [ "O. Lomax", "A. P. Whitworth", "A. Cartwright" ], "comment": "Accepted 2010 October 27. Received 2010 October 25; in original form 2010 September 13 The paper contains 7 figures and 2 tables", "categories": [ "astro-ph.SR" ], "abstract": "The extent to which the projected distribution of stars in a cluster is due to a large-scale radial gradient, and the extent to which it is due to fractal sub-structure, can be quantified -- statistically -- using the measure ${\\cal Q} = \\bar{m}/\\bar{s}$. Here $\\bar{m}$ is the normalized mean edge length of its minimum spanning tree (i.e. the shortest network of edges connecting all stars in the cluster) and $\\bar{s}$ is the correlation length (i.e. the normalized mean separation between all pairs of stars). We show how ${\\cal Q}$ can be indirectly applied to grey-scale images by decomposing the image into a distribution of points from which $\\bar{m}$ and $\\bar{s}$ can be calculated. This provides a powerful technique for comparing the distribution of dense gas in a molecular cloud with the distribution of the stars that condense out of it. We illustrate the application of this technique by comparing ${\\cal Q}$ values from simulated clouds and star clusters.", "revisions": [ { "version": "v1", "updated": "2010-10-28T12:40:00.000Z" } ], "analyses": { "keywords": [ "star clusters", "statistical comparison", "distribution", "large-scale radial gradient", "normalized mean edge length" ], "tags": [ "journal article" ], "publication": { "doi": "10.1111/j.1365-2966.2010.17935.x", "journal": "Monthly Notices of the Royal Astronomical Society", "year": 2011, "month": "Mar", "volume": 412, "number": 1, "pages": 627 }, "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "inspire": 874754, "adsabs": "2011MNRAS.412..627L" } } }