deletions | additions       diff --git a/res_fitfunction.md b/res_fitfunction.md  index e21592f..7cb290e 100644  --- a/res_fitfunction.md  +++ b/res_fitfunction.md 
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The entire raw signal for the *i*-th pixel can be represented as:  \[  \label{eq_ithpix}  F_i(t) = b(\mathbf{q}_i, t) + \sum_{k=0}^{m} f(\mathbf{p}_{i,k},t) + W + R  \]  , where \(b\) is a n-th order polynomial with \(\mathbf{q}_i\) being the polynomial coefficients for the *i*-th pixel, summation is performed over all *m* events in the pixel, \(W\) represents noise and \(R\) is the remaining residual not captured in the baseline nor events. Ideally, \(R=0\), but achieving this is limited by the accuracy of the event region detection (we cannot fit what we do not detect) and whether or not our fitting function is general enough to be able to approximate various types of events.