Figure 4
An example of geometric model fitting for a noisy data set including 400 inliers representing the background intensities and four outliers (Bragg peak intensities) that are arranged in close proximity to one another and close to the acceptable threshold. (a) The diffraction data, with the x–y axes representing the position of pixels on the 2D detector and the abscissa representing the calibrated pixel intensities. (b) The background is modelled using a non-robust statistics approach (PF8). This results in the loss of outliers (Bragg peaks) which are highlighted in red. (c) Using robust statistics allows for modelling the background without including the outliers. In this case all of the Bragg peaks are detected. |