Add snip background with a really large window

xsocs/gui/process/FitWidget.py

@@ -192,10 +192,13 @@ class FitWidget(Qt.QWidget):
             "Select background subtraction mode:<br><br>"
             "<b>-</b>: No background<br>"
             "<b>Constant</b>: Shift data so that min is 0<br>"
-            "<b>Linear</b>: Linear background from first to last data")
+            "<b>Linear</b>: Linear background from first to last data<br>"
+            "<b>Snip</b>: Snip background estimation"
+            "(Statistics-sensitive Non-linear Iterative Peak-clipping algorithm)")
         self.__bgComboBox.addItem('-', BackgroundTypes.NONE)
         self.__bgComboBox.addItem('Constant', BackgroundTypes.CONSTANT)
         self.__bgComboBox.addItem('Linear', BackgroundTypes.LINEAR)
+        self.__bgComboBox.addItem('Snip', BackgroundTypes.SNIP)
         self.__bgComboBox.setCurrentIndex(0)
         layout.addRow('Background:', self.__bgComboBox)
 

xsocs/process/fit/peak_fit.py

@@ -36,6 +36,7 @@ import ctypes
 import multiprocessing as mp
 from threading import Thread
 import multiprocessing.sharedctypes as mp_sharedctypes
+from silx.math.fit import snip1d
 
 import numpy as np
 
@@ -73,6 +74,10 @@ def background_estimation(mode, data):
         # Simple linear background
         return np.linspace(data[0], data[-1], num=len(data), endpoint=True)
 
+    elif mode == BackgroundTypes.SNIP:
+        # Using snip background
+        return snip1d(data, snip_width=len(data))
+
     elif mode == BackgroundTypes.NONE:
         return np.zeros_like(data)