Update compute_light, good shape now

src/backscattering_analyzer/__init__.py

@@ -1,7 +1,6 @@
 from __future__ import annotations
 from numpy.typing import NDArray
 from numpy import arange
-from scipy.interpolate import CubicSpline
 
 
 def interpolate_abciss(signals: tuple[Signal, ...]) -> NDArray:
@@ -21,7 +20,7 @@ def interpolate(signals: tuple[Signal, ...]) -> tuple[Signal, ...]:
     Interpolate multiple signals with a single abciss list, which has
     the smallest interval and the bigget rate
     """
-    splines = [CubicSpline(signal.x, signal.y) for signal in signals]
+    splines = [signal.spline() for signal in signals]
 
     x = interpolate_abciss(signals)
 

src/backscattering_analyzer/analyzer.py

@@ -3,7 +3,7 @@ from sys import argv as options
 from backscattering_analyzer.settings import Settings
 from backscattering_analyzer.signal import Signal
 from backscattering_analyzer import interpolate, interpolate_abciss
-from numpy import loadtxt, array
+from numpy import loadtxt
 from scipy.io.matlab import loadmat
 
 # maths
@@ -140,14 +140,14 @@ class Analyzer:
         )
 
         # frequencies depends of psd result, which we do not have yet
-        frequencies = 0
+        frequencies = zeros(len(result))
 
         for index in range(len(self.coupling)):
-            phase = (index + 1) * 4 * pi / self.settings.wavelength
+            phase = (index + 1) * 4 * pi / (self.settings.wavelength*1e6)
 
-            factor_n = (self.movement * phase).sin().psd()
+            factor_n = (self.movement * phase).sin().psd().sqrt()
             coupling_n = self.coupling[0].abs()
-            factor_d = (self.movement * phase).cos().psd()
+            factor_d = (self.movement * phase).cos().psd().sqrt()
             coupling_d = self.coupling[1].abs()
 
             factor_n, coupling_n, factor_d, coupling_d = interpolate(
@@ -163,9 +163,20 @@ class Analyzer:
                 / self.settings.power_out
                 * (coupling_n * factor_n + coupling_d * factor_d).y
             )
-        return array(
-            [
+            """
+            result += (
+                sqrt(self.settings.scattering_factor[index])
+                * self.settings.wavelength
+                / (4 * pi)
+                * (coupling_n**2 * factor_n + coupling_d**2 * factor_d)
+                .sqrt()
+                .y
+            ) ** 2
+            """
+
+        self.projection = Signal(
             frequencies,
             result,
-            ]
+            self.settings,
         )
+        return self.projection

src/backscattering_analyzer/settings.py

@@ -34,7 +34,7 @@ class Settings:
 
         self.calib_bench = 1.15
         self.calib_mirror = 1.15
-        self.scattering_factor = [1e-3, 0]  # parameter to change
+        self.scattering_factor = [1.3e-3, 1e-12]  # parameter to change
         self.vibration_frequency = 0.2
 
         index = 0

src/backscattering_analyzer/signal.py

@@ -5,7 +5,8 @@ from backscattering_analyzer import interpolate
 
 from scipy.signal import welch, detrend
 from scipy.fft import irfft, rfft, rfftfreq
-from numpy import where, sin, cos, array
+from scipy.interpolate import CubicSpline
+from numpy import where, sin, cos, array, sqrt
 
 
 class Signal:
@@ -44,6 +45,14 @@ class Signal:
             self.settings,
         )
 
+    def sqrt(self) -> Signal:
+        """ """
+        return Signal(
+            self.x,
+            sqrt(self.y),
+            self.settings,
+        )
+
     def detrend(self, type: str = "linear") -> Signal:
         """
         Short alias for scipy.detrend with default value
@@ -106,6 +115,15 @@ class Signal:
             self.settings,
         )
 
+    def spline(self) -> CubicSpline:
+        """
+        Return interpolation of this signal
+        """
+        return CubicSpline(
+            self.x,
+            self.y,
+        )
+
     def __sub__(self, other: float | Signal) -> Signal:
         """
         Substract float or a signal to another
@@ -204,3 +222,13 @@ class Signal:
         Get length of a signal
         """
         return len(self.x)
+
+    def __pow__(self, other) -> Signal:
+        """
+        Signal put to power
+        """
+        return Signal(
+            self.x,
+            self.y**other,
+            self.settings,
+        )