deletions | additions       diff --git a/res_fitting.md b/res_fitting.md  index 0a89a3d..d077b72 100644  --- a/res_fitting.md  +++ b/res_fitting.md 
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\[  f(A, d, \tau_{d}, \tau_{r}, \mu, t, \sigma) = g \ast G  \]  For notational purposes we shall represent the fit funcion parameters by \(\mathbf{p}=\left[A,d,\tau{d},\tau_{r},\mu\right]\). The smoothing parameter \(\sigma\) will be fixed for all pixels. Therefore, for the \(i\)-th pixel the \(k-th\) event is represented by \(f(\mathbf{p}_{i,k})\). \(f(\mathbf{p}_{i,k},t)\).  The entire  raw signal in each for the \(i\)-th  pixel is: \[  F F_i(t) = b(\mathbf{q}_i, t) + \sum_{k=0}^{m} f(\mathbf{p}_{i,k},t)  \]  Because it is not know which part of the signal is the event and which is the baseline the first fit also has to estimate the baseline properties.