2017
DOI: 10.1093/mnras/stx3267
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Spatially associated clump populations in Rosette from CO and dust maps

Abstract: Spatial association of clumps from different tracers turns out to be a valuable tool to determine the physical properties of molecular clouds. It provides a reliable estimate for the X-factors, serves to trace the density of clumps seen in column densities only and allows to measure the velocity dispersion of clumps identified in dust emission. We study the spatial association between clump populations, extracted by use of the Gaussclumps technique from 12 CO (1 − 0), 13 CO (1 − 0) line maps and Herschel dust-… Show more

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Cited by 13 publications
(10 citation statements)
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References 77 publications
(128 reference statements)
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“…It is interesting to note that also in the recent comparison between the extreme environments of the nuclear starburst of the extragalactic system NGC253 and the central molecular zone of our Milky Way mass-size relations consistent with M ∝ r 3 were found (Krieger et al 2020). Ballesteros-Paredes et al (2012 discuss in detail the notion that mass-size relations with power-law indices from below 2 up to 3 have been reported in the literature (e.g., Mookerjea et al 2004;Lada et al 2008;Román-Zúñiga et al 2010;Kainulainen et al 2011;Könyves et al 2015;Zhang & Li 2017;Veltchev et al 2018). They reiterate that mass-size relations derived from constant column density thresholds (which is approximately the case for the 5σ intensity thresholds used here in the core finding algorithm), if the filling factor of the densest portions of the cores is small, should necessarily exhibit constant mean column densities, and thus, a M ∝ r 2.0 relationship.…”
Section: Fragmentationsupporting
confidence: 70%
“…It is interesting to note that also in the recent comparison between the extreme environments of the nuclear starburst of the extragalactic system NGC253 and the central molecular zone of our Milky Way mass-size relations consistent with M ∝ r 3 were found (Krieger et al 2020). Ballesteros-Paredes et al (2012 discuss in detail the notion that mass-size relations with power-law indices from below 2 up to 3 have been reported in the literature (e.g., Mookerjea et al 2004;Lada et al 2008;Román-Zúñiga et al 2010;Kainulainen et al 2011;Könyves et al 2015;Zhang & Li 2017;Veltchev et al 2018). They reiterate that mass-size relations derived from constant column density thresholds (which is approximately the case for the 5σ intensity thresholds used here in the core finding algorithm), if the filling factor of the densest portions of the cores is small, should necessarily exhibit constant mean column densities, and thus, a M ∝ r 2.0 relationship.…”
Section: Fragmentationsupporting
confidence: 70%
“…(ii) When multi-threshold methods are used, but still the reported mass-size relation is that of the cores without inner substructure, there is not necessarily a single slope, as it may be the case of the algorithms getsources, gaussclumps, or the leaves in dendrograms (e.g., Könyves et al 2015;Kirk et al 2017;Veltchev et al 2018;Sanhueza et al 2019).…”
Section: Mass-size Relation For Dense Cores Withing Single Cloudsmentioning
confidence: 99%
“…Ballesteros-Paredes et al (2012,2019,2020) discuss in detail the notion that mass-size relations with power-law indices from below 2 up to 3 have been reported in the literature (e.g., Mookerjea et al 2004;Lada et al 2008;Román-Zúñiga et al 2010;Kainulainen et al 2011;Könyves et al 2015;Zhang & Li 2017;Veltchev et al 2018). They reiterate that mass-size relations derived from constant column density thresholds (which is approximately the case for the 5σ intensity thresholds used here in the core finding algorithm), if the filling factor of the densest portions of the cores is small, should necessarily exhibit constant mean column densities, and thus, a M ∝ r 2.0 relationship.…”
Section: Fragmentationmentioning
confidence: 99%