Remove last lstchain functions.

magicctapipe/image/__init__.py

@@ -3,26 +3,17 @@
     PixelTreatment,
     get_num_islands_MAGIC,
     clean_image_params,
-    apply_dynamic_cleaning,
 )
 
 from .leakage import (
     get_leakage,
 )
-from .modifier import (
-    add_noise_in_pixels,
-    random_psf_smearer,
-    set_numba_seed,
-)
+
 
 __all__ = [
     "MAGICClean",
     "PixelTreatment",
     "get_num_islands_MAGIC",
     "clean_image_params",
     "get_leakage",
-    "apply_dynamic_cleaning",
-    "add_noise_in_pixels",
-    "random_psf_smearer",
-    "set_numba_seed",
 ]

magicctapipe/image/cleaning.py

@@ -14,7 +14,6 @@
     "PixelTreatment",
     "get_num_islands_MAGIC",
     "clean_image_params",
-    "apply_dynamic_cleaning",
 ]
 
 
@@ -720,35 +719,3 @@ def clean_image_params(geom, image, clean, peakpos):
     #     time_grad[tel_id] = 1
 
     return hillas_p, leakage_p, timing_p
-
-
-def apply_dynamic_cleaning(image, signal_pixels, threshold, fraction):
-    """
-    Application of the dynamic cleaning
-    Parameters
-    ----------
-    image: `np.ndarray`
-          Pixel charges
-    signal_pixels
-    threshold: `float`
-        Minimum average charge in the 3 brightest pixels to apply
-        the dynamic cleaning (else nothing is done)
-    fraction: `float`
-        Pixels below fraction * (average charge in the 3 brightest pixels)
-        will be removed from the cleaned image
-    Returns
-    -------
-    mask_dynamic_cleaning: `np.ndarray`
-        Mask with the selected pixels after the dynamic cleaning
-    """
-
-    max_3_value_index = np.argsort(image)[-3:]
-    mean_3_max_signal = np.mean(image[max_3_value_index])
-
-    if mean_3_max_signal < threshold:
-        return signal_pixels
-
-    dynamic_threshold = fraction * mean_3_max_signal
-    mask_dynamic_cleaning = (image >= dynamic_threshold) & signal_pixels
-
-    return mask_dynamic_cleaning