I’ve been playing with the spectra and trying to optimize our model, when I found an oddity that I could not explain, maybe someone knows what’s happening here, I’m using the “Hard Cheese” data as my example:
I’ve set the spectra to “normalized” and found a wavelength range that I would like to use as a filter (as seen in the online guide), see picture HardCheese1.
When I enter the filter, the whole spectrum changes, especially th Y-axis, and now it doesn’t look like this wavelength range was the best for one differentiation anymore, but I should’ve rather chosen a range from 1000 to 1060 nm. (see picture HardCheese2)
Can someone help me and explain: Why did this happen an how is this affecting my model?
Thanks a lot!
This topic was modified 6 years, 6 months ago by firstname.lastname@example.org. Reason: Was not finished
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