detections of noise were then used for the analysis of both the simulations and the observed data. These parameters are listed in Table \[tab:sextractor\].

        Parameter        Value  Description
  --------------------- ------- ---------------------------------------------------------
   [detect\_minarea]{}     6    Minimum number of pixels per detection.
   [detect\_thresh]{}     1.3   Detection threshold in $\sigma$ above local background.
     [back\_size]{}       64    Size in pixels of mesh used for background estimation.
   [phot\_apertures]{}     6    Aperture diameter (pixels).

  : Optimal [SExtractor]{} parameters determined by simulations and used throughout this work.[]{data-label="tab:sextractor"}

### Depths of fields {#sec:dof}

As in the previous section, a source detection procedure was run on each image and the results compared with the known simulation inputs. This time, the fraction of the objects at each wavelength and magnitude which were detected was recorded. The results are shown Fig. \[fig:simresults\].

Note that this data can be recorded both in terms of the *simulated* wavelength and magnitude and and their *detected* equivalents. For any given pixel position in a field, an object can only be detected as peaking at one of a limited range of wavelengths, since its peak will be seen to appear at the wavelength of the image in which it occurs (of which there are at most 5). Hence, an object which 