Closed flo-kr closed 4 months ago
Hi Florian,
Thanks for opening an issue. As described here, the amplitude is not the maximum value--it's a weight applied to a skew normal distribution during the fitting.
For example, these are plots of an amplitude-weighed skew-normal distribution with the same amplitude parameter, but varying skew (alpha):
If you want to know the maximum value of peaks that are not overlapping, you'd be better off either a) using scipy.signal.find_peaks
and then use those indices to extract the signal value of those indices, or b) you could get these indices from hplc-py
by looking at the attribute Chromatogram._peak_indices
.
It would be pretty simple to add a height
or maximum
value in quantities returned by fit_peaks
. I will look at that as soon as I have a chance, but you (or anyone else) are welcome to submit a pull request with the change.
Hi @flo-kr , I've added reporting of the maximum signal value a new statistic reported when fit_peaks
is called. Please let me know if this solves your problem!
I noticed that when calling the value for 'Amplitude', the value always seems to be lower than the actual maximal values that can be called through _chrom.unmixedchromatograms() and also lower than the max values recorded in the original chromatogram in the first place.
To my understanding, 'amplitude' would be the difference between the baseline and the maximal value. Is this the intended idea?
Best
Florian