Developing more stuff

curves.py

@@ -0,0 +1,45 @@
+from matplotlib import pyplot as plt
+import numpy as np
+
+detune_max = 10
+x = np.linspace(0, 1)
+oscillator_level = x**4
+noise_level = 1 - (x**2)
+qfactor = np.exp(-x * 10)
+detune = (1 - x) * detune_max
+subosc_level = 1 - (x - .5)**2
+distortion = (1 - x)**2
+
+plt.subplot(421)
+plt.plot(x, oscillator_level)
+plt.xlabel("x")
+plt.ylabel("Oscillator level")
+
+plt.subplot(422)
+plt.plot(x, noise_level)
+plt.xlabel("x")
+plt.ylabel("Noise level")
+
+plt.subplot(423)
+plt.plot(x, qfactor)
+plt.yscale("log")
+plt.xlabel("x")
+plt.ylabel("Q factor")
+
+plt.subplot(424)
+plt.plot(x, detune)
+plt.xlabel("x")
+plt.ylabel("Detune")
+
+plt.subplot(425)
+plt.plot(x, subosc_level)
+plt.xlabel("x")
+plt.ylabel("Subosc level")
+
+plt.subplot(426)
+plt.plot(x, distortion)
+plt.xlabel("x")
+plt.ylabel("Distortion")
+
+plt.tight_layout()
+plt.show()

fm.scd

@@ -15,10 +15,10 @@ s.waitForBoot {
         car = SinOsc.ar(
             (freq * carPartial) + mod,
             0,
-            mul
+            1
         );
 
-        Out.ar(0, Disintegrator.ar(SinOsc.ar(440), 0.5));
+        Out.ar(0, Disintegrator.ar(car, MouseX.kr(0, 1)));
     });
 
     module.load(s);