Ardo Illaste edited res_fitting2.md  almost 10 years ago

Commit id: 7a2b86a1455f8c7b7e00002272f12b7fb7900663

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=\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 paramater vector and parameter vector,  \(\mathbf{p}^p=\left[\mu,x,y\right]\) is the position parameter vector. vector and the whole paramter vector \(\mathbf{p}_i\) is the concatenation of both.  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*: