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Ardo Illaste edited res_fitting.md
about 10 years ago
Commit id: eb03e82565b05ce9f6216922556eabde3a232b3c
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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 \(\mathbf{p}=[A,d,\tau{d},\tau_{r},\mu]\)
The smoothing parameter \(\sigma\) will be fixed for each pixel and
The raw signal in each pixel is:
\[
F
\]
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.
Signal in the candidate region is fitted with an extended fit function (Figure \ref{fig:fig2}) that also depends on relaxation baseline \(B\) and baseline offset \(C\). The \(C\) parameter allows for the possibility of an elevated background before the release event.