MS: ✗
BD: ✗
Fitting Noise
SedFit uses an algebraic noise decomposition strategy based on direct least-squares modelling. There is no increase in the statistical noise, and you can obtain explicit estimates for the magnitude of the systematic noise components. However, there are two limitations to keep in mind when using this method of systematic noise decomposition:
- Calculated systematic noise is an estimate and model dependent.
We can only assume the calculated noise to reflect a true baseline signal if we have a good fit for our sedimentation data.
- There is no fundamental difference in the effect of systematic noise on the data analysis from a time-difference analysis.
Fortunately, for larger data sets, the baseline is usually well-determined, and so the issues described above are not largely problematic.