.. Athena document is copyright 2016 Bruce Ravel and released under The Creative Commons Attribution-ShareAlike License http://creativecommons.org/licenses/by-sa/3.0/ .. _splinerange_sec: Spline range in background removal ================================== Two parameters that can have a big effect on the quality of the background removal are the limits of the spline range. By default, the spline used to approximate the background function is computed between 0.5 |AA|\ :sup:`-1` and the end of the data range. (Those defaults can be set with the :configparam:`Bkg,spl1` and :configparam:`Bkg,spl2` preferences.) In the main menu, there are entry boxes for the values of the spline range in k and in energy. You can edit those interchangeably, when one pair is changed, the other pair is updated. The same is true if you use `the pluck buttons `__ to set their values. There are good reasons to try changing the lower or upper bounds of the spline range. In the case of data with a large, sharp white line, the :demeter:`autobk` algorithm might have a hard time following that swiftly changing part of |mu| (E). The background removal might be improved by starting the spline range at a higher value. A good way to test the effect of spline range is to make a copy (:button:`Alt`-:button:`y`) of the data group, change the lower spline boundary to a large value for the copy, and plot both groups as |chi| (k) or |chi| (R) using the :button:`k,purple` button or the :button:`R,purple` button. Changing the upper bound of the spline range is often helpful in data where the signal becomes very small at high k such that the level of greatly exceeds the |chi| (k) data when k-weighted or if the shape of the background function is unstable due to sample inhomogeneity or some other measurement problem. This shows an example of a change in the upper bound of the spline range. .. _fig-bkg_splinerange: .. figure:: ../../_images/bkg_splinerange.png :target: ../_images/bkg_splinerange.png :align: center Gold foil data showing the effect of changing the upper end of the spline range. The obvious effect of changing the spline range is that |chi| (k) is 0 outside the spline range, as seen on the high-k end of the plot. Changing one end of the spline range can also have an effect on the opposite end of the spectrum. This can be seen on the low-k end of the spectrum in the plot. When you are working on data for which a good background removal is difficult, changing the spline range is one of the tricks you can pull out of your tool box.