Improve fit

• Estimate peak using a simple Gaussian filter and np.argmax to speed up fitting.
• Calculate outliers with IsolationForest and per channel.
• Add possibility of a polynomial fit on pes and sqrt(pes).
• Add possibility of fitting with weights and function to get weights based on the XGM intensity to get a flatter response a as a function of intensity.

pyproject.toml

@@ -25,12 +25,10 @@ classifiers = [
           ]
 dynamic = ["version", "readme"]
 dependencies = [
-          #"numpy>=1.21",
-          #"scipy>=1.6",
-          "intel-scipy>=1.7.3",
+          "numpy>=1.21",
+          "scipy>=1.6",
           "scikit-learn>=1.0.2",
           #"autograd",
-          #"h5py"
           ]
 
 [project.optional-dependencies]