cmblens

Unless otherwise noted, the format is lambda_0 in column 1, Omega_0 in column 2 and the likelihood value in column 3. Thus, plot column 3 as a function of columns 1 and 2 to get a greyscale plot. Column four contains numbers for making a `real' contour plot: plotting a contour at X, where 0 < X < 1, will give you the smallest contour which encloses X% of the probability density (i.e. the values from column 3 or the grey scale).

Note that Fig. 4 is essentially the product of Figs. 1 and 2.

For the purposes of the plots, in all cases the normalisation is, of course, arbitrary. (This allows the values to fall within the range of single precision real variables on most machines.) Figs. 1 and 2 do contain, however, the actual likelihood.

Fig. 1
Fig. 2 a
Fig. 2 b
Fig. 2 c
Fig. 3 can be constructed from the same data as Figs. 1 and 2a-c.
Fig. 4 a
Fig. 4 b
Fig. 4 c
Fig. 5: data points
- See Table 1 in the paper for an explanation of what is in what column.
Fig. 5: solid curve
- First column: L; second column: 1.0E10*(DeltaT/T)**2.
- Fig. 5: dashed curve
  - First column: L; second column: 1.0E10*(DeltaT/T)**2.
last modified on Tuesday, March 13, 2007 at 09:39:17 AM by helbig@astro.mNuOlStPiAvMa!x.de