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--- writingroom:lifetime-fitting_using_the_rapid_reconvolution_algorithm [2020/04/30 07:41] – [Select a file and start the analysis] rezvani
+++ writingroom:lifetime-fitting_using_the_rapid_reconvolution_algorithm [2020/05/13 07:24] – ruckelshausen
@@ Line 1: / Line 1: @@
-{{tag>howto FLIM analysis SPT MT LSM_upgrade draft}}
+{{tag>howto tutorial FLIM analysis SPT SymPhoTime MT LSM_upgrade reconvolution fitting}}
@@ Line 187: / Line 187: @@
 **Note:**\\
 Usually, a good fit will be evaluated by residuals evenly distributed around zero and χ² approaches one.
-<wrap hi>However in such cases with systematic errors, one should not insist on getting ideal χ²- or residual values.</wrap>
+However in such cases with systematic errors, one should not insist on getting ideal χ²- or residual values.  The systematic distortions will introduce a slight systematic error in the fitted parameters, which will be negligible for exponentials that have a lifetime longer than the time constant of the systematic errors.
-<wrap hi>können wir da evt. von Matthias eine bessere Formulierung bekommen, die das erklärt, aber nicht aussieht, als sei der Fit schlecht?</wrap>
   * Try last two steps with the ROI 1.