Merge branch 'master' into use_momentum_changes

c/interaction/interaction.c

@@ -113,17 +113,13 @@ interaction_ufunc_float2D
 
 	char * x_old = args[0]
 		, * y_old = args[1]
-		, * p_x_old = args[2]
-		, * p_y_old = args[3]
-		, * p_x_new = args[4]
-		, * p_y_new = args[5];
+		, * p_x_new = args[2]
+		, * p_y_new = args[3];
 
 	npy_intp x_old_steps = steps[0]
 		, y_old_steps = steps[1]
-		, p_x_old_steps = steps[2]
-		, p_y_old_steps = steps[3]
-		, p_x_new_steps = steps[4]
-		, p_y_new_steps = steps[5];
+		, p_x_new_steps = steps[2]
+		, p_y_new_steps = steps[3];
 
 	float * coefficients = (float *) data;
 	float dt = coefficients[19];
@@ -133,7 +129,7 @@ interaction_ufunc_float2D
 	// Stuff we will need:
 	float r;         // Distance between interacting particles.
 	float delta_x_e; // x-component of unit direction vector.
-	float delty_y_e; // y-component of unit direction vector.
+	float delta_y_e; // y-component of unit direction vector.
 	float delta_p_x;
 	float delta_p_y;
 
@@ -151,10 +147,8 @@ interaction_ufunc_float2D
 		this_x_i = *(float *)(x_old + i*x_old_steps);
 		this_y_i = *(float *)(y_old + i*y_old_steps);
 		
-		// copy current momenta
-		*(float *)(p_x_new + i*p_x_new_steps) = *(float *)(p_x_old + i*p_x_old_steps);
-		*(float *)(p_y_new + i*p_y_new_steps) = *(float *)(p_y_old + i*p_y_old_steps);
-
+		*(float *)(p_x_new + i*p_x_new_steps) = 0;
+		*(float *)(p_y_new + i*p_y_new_steps) = 0;
 		// compute and add the momentum offset
 		for(j = 0; j < i; j++)
 		{
@@ -168,7 +162,7 @@ interaction_ufunc_float2D
 			if(r > 0)
 			{
 				delta_x_e = (this_x_i - this_x_j) / r;
-				delty_y_e = (this_y_i - this_y_j) / r;
+				delta_y_e = (this_y_i - this_y_j) / r;
 			}
 			else
 			{
@@ -178,13 +172,13 @@ interaction_ufunc_float2D
 				printf("Warning: corrected r = 0 with random angle pi*%f\n", random_angle / M_PI);
 #endif
 				delta_x_e = cosf(random_angle);
-				delty_y_e = sinf(random_angle);
+				delta_y_e = sinf(random_angle);
 			}
 
 
 			// Update the momenta.
 			delta_p_x = delta_x_e * interaction_force_function(r, coefficients);
-			delta_p_y = delty_y_e * interaction_force_function(r, coefficients);
+			delta_p_y = delta_y_e * interaction_force_function(r, coefficients);
 #ifdef WARN_NAN_OCCUR
 			if(isnan(delta_p_x))
 			{
@@ -205,7 +199,7 @@ interaction_ufunc_float2D
 	//NPY_END_THREADS;
 }
 static char interaction_types[] = 
-	{ NPY_FLOAT, NPY_FLOAT, NPY_FLOAT, NPY_FLOAT, NPY_FLOAT, NPY_FLOAT};
+	{ NPY_FLOAT, NPY_FLOAT, NPY_FLOAT, NPY_FLOAT};
 static char force_types[] =
 	{ NPY_FLOAT, NPY_FLOAT};
 static char potential_types[] =
@@ -298,9 +292,9 @@ interaction_UFuncWrapper_init
 				interaction_funcs
 				, self->data
 				, interaction_types
-				, 1
-				, 4
-				, 2
+				, 1 // ntypes
+				, 2 // nin
+				, 2 // nout
 				, PyUFunc_None
 				, "interaction2D"
 				, "Update the momenta according to the given coefficients and positions"

coefficients.py

@@ -10,7 +10,7 @@ c = np.array(
 		, 1      #       *c*exp(
 		, -0.7   #              c
 		, 0      #               (r - c))
-		, 0      # + c*exp(
+		, +5     # + c*exp(
 		, -.1    #         c
 		, 2      #          (r - c))
 		, -0     # + c*exp(

force.py

@@ -4,9 +4,12 @@ import matplotlib.pyplot as plt
 
 from coefficients import c
 
+# This is the quite unreadable way to create 
+# UFuncs with given parameters. FIXME: add this to another module.
 force_function = UFuncWrapper(0, c)
 potential_function = UFuncWrapper(2, c)
 
+# Plot the force and potential.
 r = np.arange(0, 100, 0.02, dtype=np.float16)
 f, = plt.plot(r, force_function(r), label="force")
 p, = plt.plot(r, potential_function(r), label="potential")

particles.py

@@ -11,23 +11,34 @@ from coefficients import c
 #force_function = UFuncWrapper(0, c)
 #interaction2D = UFuncWrapper(1, c)
 
+# Borders for both the plot and the boundary condition
+# (the boundary condition might be deactivated, when creating
+# the BrownIterator).
 borders_x = [-100, 100]
 borders_y = [-100, 100]
 n_particles = 600
+# Idk, seems to not do anyting.
 frames = 100
+# Only spawn in 1/x of the borders.
 spawn_restriction = 3
+# Time resolution. Note that setting this to a too
+# high value (i.e. low resolution) will lead to 
+# erratic behaviour, because potentials can be skipped.
 dt = 0.1
 c[-1] = dt
 
+# Initial positions.
 x_coords = np.random.uniform(borders_x[0] / spawn_restriction, borders_x[1] / spawn_restriction, n_particles).astype(np.float16)
 y_coords = np.random.uniform(borders_y[0] / spawn_restriction, borders_y[1] / spawn_restriction, n_particles).astype(np.float16)
 
 
+# Initial momenta are 0.
 x_momenta = np.zeros(n_particles, dtype=np.float16)
 y_momenta = np.zeros(n_particles, dtype=np.float16)
 
 
 
+# Prepare the plot, remove axis & stuff.
 fig = plt.figure(figsize=(7, 7))
 ax = fig.add_axes([0, 0, 1, 1], frameon=False)
 ax.set_xlim(*borders_x)
@@ -35,22 +46,28 @@ ax.set_xticks([])
 ax.set_ylim(*borders_y)
 ax.set_yticks([])
 
+# Plot the initial values.
 plot, = ax.plot(x_coords, y_coords, "b.")
 center_of_mass, = ax.plot(x_coords.mean(), y_coords.mean(), "r-")
+# Keep track of the center of mass.
 center_of_mass_history_x = deque([x_coords.mean()])
 center_of_mass_history_y = deque([y_coords.mean()])
 
-brown = BrownIterator(-1, c
+brown = BrownIterator(-1, c # Max iterations, simulation parameters.
 			, x_coords, y_coords
 			, y_momenta, y_momenta
+			# The boundary condition: reflect at the borders,
 			, borders_x, borders_y
+			# or just let propagate to infinity.
 			#, [], []
+			# Let the border dampen the system, border_dampening < 1 => energy is absorbed.
 			, border_dampening=1
 			, dt=dt)
 
 u = iter(brown)
 
 def update(i):
+	# Get the next set of positions.
 	data = next(u)
 	center_of_mass_history_x.append(x_coords.mean())
 	center_of_mass_history_y.append(y_coords.mean())

py/brown/brown.py

@@ -37,11 +37,15 @@ class BrownIterator(object):
 		if(self._i == 1):
 			return self.x, self.y
 
-		self.px, self.py = self._interaction(self.x, self.y, self.px, self.py)
+		delta_px, delta_py = self._interaction(self.x, self.y)
+		self.px = delta_px + self.px
+		self.py = delta_py + self.py
 		# XXX: We need the (-1)**i to make the problem
 		# symmetric.
+		# FIXME: is this necessary?
 		self.px[np.isnan(self.px)] = self.speed_of_light * (-1)**self._i
 		self.py[np.isnan(self.py)] = self.speed_of_light * (-1)**self._i
+
 		self._reflect_at_borders()
 
 		self.x += self.dt * self.px