Ardo Illaste edited res_fitting2.md  almost 10 years ago

Commit id: d014ed2b0a2d3718fce7ab16653752faad8ae751

deletions | additions      

       

=\left[A_i, d_i ,\tau_{d,i},\tau_{r,i},\mu_i,x_i,y_i\right] =  \left[\mathbf{p}^s_{i}, \mathbf{p}^p_{i}\right]  \]  , 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 \(\mathbf{p}_i\) \(\mathbf{r}_i\)  is obtained by combining the two. All *k* events detected in pixel *i* are represented by vectors   \(\mathbf{p}^s_{i,k}\) and \(\mathbf{p}^p_{i,k}\). These vectors can be stacked to create an event matrix for pixel *i*: