Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 402, Issue 1, Pages 603-619Publisher
WILEY-BLACKWELL PUBLISHING, INC
DOI: 10.1111/j.1365-2966.2009.15911.x
Keywords
stars: formation; stars: evolution; ISM: clouds; dust; extinction; submillimetre; ISM: individual: Perseus
Categories
Funding
- Science and Technology Facilities Council (STFC)
- Canadian Space Agency
- STFC [ST/G002916/1] Funding Source: UKRI
- Science and Technology Facilities Council [ST/G002916/1] Funding Source: researchfish
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We present a new analysis of the properties of star-forming cores in the Perseus molecular cloud, identified in SCUBA 850 mu m data originally presented by Hatchell et al. Our goal is to determine which core properties can be robustly identified and which depend on the extraction technique. Four regions in the cloud are examined: NGC 1333, IC348/HH211, L1448 and L1455. We identify clumps of dust emission using two popular automated algorithms, clfind and gaussclumps, finding 85 and 122 clumps in total, respectively. Using the catalogues of Hatchell et al., we separate these clumps into starless, Class 0 and Class I cores. Some trends are true for both populations: clumps become increasingly elongated over time; clumps are consistent with constant surface brightness objects (i.e. M proportional to R2), with an average brightness approximate to 4-10 times larger than the surrounding molecular cloud; the clump mass distribution (CMD) resembles the stellar initial mass function, with a slope alpha = -2.0 +/- 0.1 for clfind and alpha = -3.15 +/- 0.08 for gaussclumps, which straddle the Salpeter value (alpha = -2.35). The mass at which the slope shallows (similar for both algorithms at M approximate to 6 M(circle dot)) implies a star-forming efficiency of between 10 and 20 per cent. Other trends reported elsewhere depend critically on the clump-finding technique: we find protostellar clumps are both smaller (for gaussclumps) and larger (for clfind) than their starless counterparts; the functional form, best fitting to the CMD, is different for the two algorithms. The gaussclumps CMD is best fitted with a log-normal distribution, whereas a broken power law is best for clfind; the reported lack of massive starless cores in previous studies can be seen in the clfind but not the gaussclumps data. Our approach, exploiting two extraction techniques, highlights similarities and differences between the clump populations, illustrating the caution that must be exercised when comparing results from different studies and interpreting the properties of samples of continuum cores.
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