Add fixed parameters to Settings class

stpt_pipeline/settings.py

+import numpy as np
+
+
+class Settings:
+    """[summary]
+
+    x/y_min and max are the lower/upper boundaries of the useful section of the
+    detector.
+
+    Norm val is a normalization value for the stored values, ideally the gain
+
+    do_flat activates flat correction prior to crossmatching. defringe does that to
+    the flat before dividing by it, but it is time consuming and not very
+    useful at the moment
+
+    cof_dist are the coefficients of the optical distortion, as measured from
+    the images themselves.
+
+    """
+    x_min = 2
+    x_max = 2080
+    y_min = 80
+    y_max = 1990
+    norm_val = 10000.0
+    do_flat = True
+    defring = False
+    channel_to_use = 4
+    cof_dist = np.array([3.93716645e-05, -7.37696218e-02, 2.52457306e01]) / 2.0