deletions | additions       diff --git a/res_fitting2.md b/res_fitting2.md  index 63be00d..a131645 100644  --- a/res_fitting2.md  +++ b/res_fitting2.md 
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Each pixel event is characterized by the parameters \(\mathbf{r}\). Four of these (\(A,d,\tau_{d},\tau_{r})\) determine the shape of the event and \(\mu\) the location in time. In order to completely charactarize a pixel event it is also necessary to know the pixel's spatial location. This would require one or two spatial coordinates, respectively for line- or framescans. Hence, a pixel event is wholly defined by two vectors: the shape parameter vector \(\mathbf{p}^s=\left[A,d,\tau_{d},\tau_{r}\right]\) and the position parameter vector \(\mathbf{p}^p=\left[\mu,x,y\right]\).  The *k*-th event detected in pixel *i* is represented by vectors   \(\mathbf{p}^s_{i,k}\) and \(\mathbf{p}^p_{i,k}\). These *k* vectors can be stacked to create an An  event matrix(E)  for the *i*-th  pixel *i*: (\E_i\) contains the parameter vectors for all the events in the pixel:  \[  E_i =   \left(