{ "id": "1002.0608", "version": "v2", "published": "2010-02-02T23:15:11.000Z", "updated": "2010-02-04T19:11:46.000Z", "title": "The Mass-Size Relation from Clouds to Cores. I. A new Probe of Structure in Molecular Clouds", "authors": [ "J. Kauffmann", "T. Pillai", "R. Shetty", "P. C. Myers", "A. A. Goodman" ], "comment": "accepted to ApJ; references updated in new version", "categories": [ "astro-ph.GA" ], "abstract": "We use a new contour-based map analysis technique to measure the mass and size of molecular cloud fragments continuously over a wide range of spatial scales (0.05 < r / pc < 10), i.e., from the scale of dense cores to those of entire clouds. The present paper presents the method via a detailed exploration of the Perseus Molecular Cloud. Dust extinction and emission data are combined to yield reliable scale-dependent measurements of mass. This scale-independent analysis approach is useful for several reasons. First, it provides a more comprehensive characterization of a map (i.e., not biased towards a particular spatial scale). Such a lack of bias is extremely useful for the joint analysis of many data sets taken with different spatial resolution. This includes comparisons between different cloud complexes. Second, the multi-scale mass-size data constitutes a unique resource to derive slopes of mass-size laws (via power-law fits). Such slopes provide singular constraints on large-scale density gradients in clouds.", "revisions": [ { "version": "v2", "updated": "2010-02-04T19:11:46.000Z" } ], "analyses": { "keywords": [ "mass-size relation", "spatial scale", "scale-independent analysis approach", "large-scale density gradients", "molecular cloud fragments" ], "tags": [ "journal article" ], "publication": { "doi": "10.1088/0004-637X/712/2/1137", "journal": "The Astrophysical Journal", "year": 2010, "month": "Apr", "volume": 712, "number": 2, "pages": 1137 }, "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "inspire": 845328, "adsabs": "2010ApJ...712.1137K" } } }