Convolution in examples should be made more robust #15
Description
The way the convolution of sample and model is done is too fragile. It works for the given examples, but it exhibits boundary effects at data extremes and if a user decides to change the input and give a range that is not symmetric or does not have a constant step in energy, the result will be wrong.