2009
DOI: 10.1051/0004-6361/200810987
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The fidelity of the core mass functions derived from dust column density data

Abstract: Aims. We examine the recoverability and completeness limits of the dense core mass functions (CMFs) derived for a molecular cloud using extinction data and a core identification scheme based on two-dimensional thresholding. We study how the selection of core extraction parameters affects the accuracy and completeness limit of the derived CMF and the core masses, and also how accurately the CMF can be derived in varying core crowding conditions. Methods. We performed simulations where a population of artificial… Show more

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Cited by 40 publications
(69 citation statements)
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“…This arises due to a combination of geometrical effects during core collapse, and varying amounts of subsequent accretion from the surrounding environment which adds significant dispersion to the relation between the core mass and the final stellar mass. This is not very surprising given that the cores in a clustered region are somewhat artificial in that they do not have distinct boundaries but are instead the high-density peaks of a larger mass distribution (Smith et al 2008, Kainulainen et al 2009.…”
Section: Monolithic Massive Star Formationmentioning
confidence: 97%
“…This arises due to a combination of geometrical effects during core collapse, and varying amounts of subsequent accretion from the surrounding environment which adds significant dispersion to the relation between the core mass and the final stellar mass. This is not very surprising given that the cores in a clustered region are somewhat artificial in that they do not have distinct boundaries but are instead the high-density peaks of a larger mass distribution (Smith et al 2008, Kainulainen et al 2009.…”
Section: Monolithic Massive Star Formationmentioning
confidence: 97%
“…Generally, identifying "cores" from column density maps is an ill-defined problem, because there is no common standard for what exactly constitutes "a core" (see discussion in, e.g., di Francesco et al 2007;Bergin & Tafalla 2007;André et al 2014). Consequently, different approaches undoubtedly result in somewhat different results (e.g., Smith et al 2008;Kainulainen et al 2009;Beaumont et al 2013). Here, our emphasis is in taking the advantage of the high resolution of the ALMA data, and hence, in identifying structures that are centrally concentrated at scales a few times the beamsize (i.e., 3 000-4 000 AU).…”
Section: Identification Of Dense Coresmentioning
confidence: 99%
“…To test the robustness of the chosen thresholds, we compared the integrated clump fluxes of our clump extraction to classical 3σ spaced thresholds as proposed in Kainulainen et al (2009). The two right columns of Fig.…”
Section: Clump Extractionmentioning
confidence: 99%