diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/vna_system/__init__.py b/vna_system/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/vna_system/core/__init__.py b/vna_system/core/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/vna_system/core/config.py b/vna_system/core/config.py
index f697f44..723b3f7 100644
--- a/vna_system/core/config.py
+++ b/vna_system/core/config.py
@@ -35,7 +35,7 @@ VNA_PID = 0x5740  # STM32 Virtual ComPort
 # -----------------------------------------------------------------------------
 # Simulator mode settings
 # -----------------------------------------------------------------------------
-USE_SIMULATOR = False  # Set to True to use simulator instead of real device
+USE_SIMULATOR = True  # Set to True to use simulator instead of real device
 SIMULATOR_SWEEP_FILE = BASE_DIR / "binary_input" / "sweep_example" / "example.json"
 SIMULATOR_NOISE_LEVEL = 100  # Standard deviation of Gaussian noise to add to real and imaginary parts
 
diff --git a/vna_system/core/processors/configs/bscan_config.json b/vna_system/core/processors/configs/bscan_config.json
index f518223..dce72fe 100644
--- a/vna_system/core/processors/configs/bscan_config.json
+++ b/vna_system/core/processors/configs/bscan_config.json
@@ -1,11 +1,12 @@
 {
-  "open_air": false,
+  "open_air": true,
   "axis": "abs",
-  "cut": 0.244,
-  "max": 1.0,
+  "cut": 0.267,
+  "max": 1.5,
   "gain": 1.0,
-  "start_freq": 600.0,
-  "stop_freq": 6080.0,
+  "start_freq": 470.0,
+  "stop_freq": 8800.0,
   "clear_history": false,
+  "sigma": 4.28,
   "data_limit": 500
 }
\ No newline at end of file
diff --git a/vna_system/core/processors/implementations/bscan_processor.py b/vna_system/core/processors/implementations/bscan_processor.py
index 4f4bd5a..b71a8e3 100644
--- a/vna_system/core/processors/implementations/bscan_processor.py
+++ b/vna_system/core/processors/implementations/bscan_processor.py
@@ -6,6 +6,7 @@ from typing import Any
 
 import numpy as np
 from numpy.typing import NDArray
+from scipy.ndimage import gaussian_filter1d
 
 from vna_system.core.logging.logger import get_component_logger
 from vna_system.core.processors.base_processor import BaseProcessor, UIParameter, ProcessedResult
@@ -56,6 +57,7 @@ class BScanProcessor(BaseProcessor):
             "start_freq": 100.0,        # Start frequency (MHz)
             "stop_freq": 8800.0,        # Stop frequency (MHz)
             "clear_history": False,     # UI button; not persisted
+            "sigma" : 0.01,
         }
 
     def get_ui_parameters(self) -> list[UIParameter]:
@@ -74,7 +76,7 @@ class BScanProcessor(BaseProcessor):
                 label="Ось",
                 type="select",
                 value=cfg["axis"],
-                options={"choices": ["real", "abs", "phase"]},
+                options={"choices": ["real", "imag", "abs", "phase"]},
             ),
             # UIParameter(
             #     name="data_limitation",
@@ -125,6 +127,13 @@ class BScanProcessor(BaseProcessor):
                 value=False,
                 options={"action": "Очистить накопленную историю графика"},
             ),
+            UIParameter(
+                name="sigma",
+                label="Степень сглаживания в abs режиме",
+                type="slider",
+                value=self._config.get("y_max", 10),
+                options={"min": 0.01, "max": 5.0, "step": 0.01, "dtype": "float"},
+            ),
         ]
 
     def update_config(self, updates: dict[str, Any]) -> None:
@@ -557,6 +566,19 @@ class BScanProcessor(BaseProcessor):
                 freq_start = self._config["start_freq"] * 1e6
                 freq_stop = self._config["stop_freq"] * 1e6
 
+            # Determine sigma for smoothing
+            if vna_config:
+                # calc_type = vna_config.get("axis", "abs")
+                # sigma = float(vna_config.get("sigma", 0.01))
+
+                calc_type = self._config["axis"]
+                sigma = self._config["sigma"]
+
+                pass
+            else:
+                calc_type = self._config["axis"]
+                sigma = self._config["sigma"]
+
             # Frequency vector over current data length
             freq_axis = np.linspace(freq_start, freq_stop, complex_data.size, dtype=float)
 
@@ -571,8 +593,15 @@ class BScanProcessor(BaseProcessor):
             # Depth windowing and gain shaping
             depth_out, time_out = self._apply_depth_processing(depth_m, time_response)
 
+            if calc_type == 'abs':
+                print('Filtering with sigma',sigma)
+                filtered_time_out = gaussian_filter1d(time_out, sigma=sigma)
+            else:
+                print("Not filtering")
+                filtered_time_out = time_out
+
             return {
-                "time_data": time_out,
+                "time_data": filtered_time_out,
                 "distance": depth_out,
                 "freq_range": [freq_start, freq_stop],
                 "complex_time": complex_data,
@@ -659,6 +688,8 @@ class BScanProcessor(BaseProcessor):
                 y_fin = np.abs(y)
             elif axis == "real":
                 y_fin = np.real(y)
+            elif axis == "imag":
+                y_fin = np.imag(y)
             elif axis == "phase":
                 y_fin = np.angle(y)
             else: