Results of SCF Analysis

With further research into the nature of noise in the SCF, a new way of re-nomalizing the SCF to eliminate the effects of noise has been developed. The data sets which are available have been re-evaluated using this new method and the results are available here.

Theory Group/Object Name Simulation/ Observation Source Size (Pixels) Pixel Size (pc) Channels Channel Spacing (km/s) Line Frequency (GHz)
Mac Low et al. S WWW 257 X 257 ? 128 ? ? ?
Falgarone et al. S D. Lis 16 X 16 0.016 512 0.13 12CO(2-1) 230
Gammie, Ostriker and Stone S C. Gammie 32 X 32 0.06 256 0.054 13C0 110.2
Heiles Cloud 2 O Heyer & Ladd 50 X 96 0.02 256 0.05 C18O 109.78
L1512 O IRAM Key Project 40 X 80 0.012 864 0.022 12CO(2-1) 230
3c391 O D. Wilner 12 X 13 2.4 128 1.3 12CO(1-0) 115.2712
Rosette (12 CO) * O Blitz and Stark 117 X 73 0.7 43 0.52 12CO(1-0) 115.2712

The SCF analysis for all of these cubes uses a signal to noise of 5 and a circular resoution element 2 pixels in diameter. In addition, only the central 3 FWHMs of the spectra were used for the correlation calculations (See the SCF background for more details).

*Because of the small number of channels and the coarse velocity resolution, the Rosette cube was analyzed using 1 FWHM and a greater tolerence on error smoothing. Thus, the results deviate more from the usual results of the SCF.


In order to compare the effects of randomization on the correlation of the cube, we present the change in means for each of the correlation functions of the SCF. For an explanation of the symbols used and the data in the results page click here.

Mac Low et. al  Falgarone et al.  Gammie et al.  Heiles Cloud 2  L1512  3c391 Rosette (12CO)
 S 0.051  0.014  0.066  0.073  0.047  0.148  0.219
Sl 0.07  0.017  0.172  0.141  0.058  0.208  0.28
Ss 0.102  0.078  0.217  0.211  0.097  0.223  0.348
S0 0.111  0.069  0.231  0.235  0.098  0.247  0.364