get_maximum_slope() The methods returns a pandas.DataFrame that contains the maximum gradient and the corresponding time for all considered samples. The processing parameters of this method can be adjusted to fine-tune the detection and to smooth the gradient. For example, if the calorimetry data contains a sharp and intense sulfate depletion peak, the maximum gradient is often associated with this peak. Suppose the maximum slope of the silicate peak is of interest instead. In that case, the processing parameters can be adjusted so that the broadest peak in the gradient data is chosen, which generally corresponds to the maximum of the silicate reaction.