Table 2
Median values of observed angular widths and deconvolved physical widthsa for three samples of filaments and two angular resolutions.
Field | distance [pc] | From column density maps with 36.9″ resolution | From SPIRE 250 μm images with 18.1″ resolution | ||||||
|
|||||||||
FWHMobs | σFWHMobs | FWHMdec | σFWHMdec | FWHMobs | σFWHMobs | FWHMdec | σFWHMdec | ||
[″] | [″] | [pc] | [pc] | [″] | [″] | [pc] | [pc] | ||
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) |
|
|||||||||
IC 5146 | 460 | 59 | 15 | 0.10 | 0.03 | 44 | 10 | 0.09 | 0.02 |
Aquila | 260 | 94 | 21 | 0.11 | 0.03 | 97 | 31 | 0.12 | 0.04 |
Polaris | 150 | 94 | 24 | 0.06 | 0.02 | 74 | 20 | 0.05 | 0.02 |
|
|||||||||
Allb | 0.10 | 0.03 | 0.09 | 0.02 |
Notes. Columns 3 and 7: median value of the observed FWHM angular width before deconvolution. Columns 5 and 9: Median value of the deconvolved FWHM physical width. Columns 4, 6, 8, 10: dispersion (standard deviation) of the distribution of widths for each filament sample.
The DisPerSE algorithm (Sousbie 2011) we used to trace filaments in the column density maps derived from Herschel data does not consider filamentary width in its process of identifying filaments. While it is difficult to assess the completeness of our census of filamentary structures without dedicated tests (which will be the subject of future work), there is in principle no bias toward selecting structures of similar width with DisPerSE.
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