Ardo Illaste edited res_fitting.md  about 10 years ago

Commit id: 0c62de4369df932bc494e8d15dfc4c2425612161

deletions | additions      

       

\[  \mathbf{r}_i = \left[\mathbf{p}_i,x_i,y_i\right]  =\left[A_i, d_i ,\tau_{d,i},\tau_{r,i},\mu_i,x_i,y_i\right] =  \left[\mathbf{p}_{s,i}, \mathbf{p}_{p,i}\right] \left[\mathbf{p}^s_{i}, \mathbf{p}^p_{i}\right]  \]  , where \(\mathbf{p}_s=\left[A,d,\tau{d},\tau_{r}\right]\) \(\mathbf{p}^s=\left[A,d,\tau{d},\tau_{r}\right]\)  is the shape paramater vector and \(\mathbf{p}_p=\left[\mu,x,y\right]\) \(\mathbf{p}^p=\left[\mu,x,y\right]\)  is the position parameter vector. 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 creat an event matrix for pixel *i*: