Ardo Illaste edited res_fitting2.md  almost 10 years ago

Commit id: 977486a5c899678759d0b56369f5bd5aacc505e9

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, where \(\mathbf{p}^s=\left[A,d,\tau{d},\tau_{r}\right]\) is the shape parameter vector, \(\mathbf{p}^p=\left[\mu,x,y\right]\) is the position parameter vector and the whole parameter vector \(\mathbf{r}_i\) is obtained by combining the two.  The *k*-th event detected in pixel *i* is represented by vectors   \(\mathbf{p}^s_{i,k}\) and \(\mathbf{p}^p_{i,k}\). These vectors can be stacked to create an event matrix (E)  for pixel *i*: \[  E_i =   \left(