Ardo Illaste edited res_fitting2.md  almost 10 years ago

Commit id: 98c9f767b4c3dc8bb13c415efebc8292662037c0

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 paramter parameter  vector \(\mathbf{p}_i\) is obtained by combining  the concatenation of both. 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 creat create  an event matrix for pixel *i*: \[  E_i =   \left(