def generate_outer_arms(v4a_ss_enu_file, num_clusters_outer,
stations_per_outer_cluster,
outer_arm_cluster_radius, station_radius_m,
num_tries):
v4a_ss_enu = numpy.loadtxt(v4a_ss_enu_file)
v4a_ss_enu = v4a_ss_enu[:, 1:]
v4a_ss_r = (v4a_ss_enu[:, 0]**2 + v4a_ss_enu[:, 1]**2)**0.5
sort_idx = numpy.argsort(v4a_ss_r)
v4a_ss_enu = v4a_ss_enu[sort_idx[::-1], :]
cluster_x = v4a_ss_enu[:num_clusters_outer, 0]
cluster_y = v4a_ss_enu[:num_clusters_outer, 1]
# Generate stations at the cluster positions.
num_stations = num_clusters_outer * stations_per_outer_cluster
arm_x = numpy.zeros(num_stations)
arm_y = numpy.zeros(num_stations)
for i in range(num_clusters_outer):
for t in range(num_tries):
x, y, _ = gridgen(stations_per_outer_cluster,
outer_arm_cluster_radius * 2.0,
station_radius_m * 2.0, 10000)
if x.shape[0] == stations_per_outer_cluster:
break
else:
print('.', end='')
if not x.shape[0] == stations_per_outer_cluster:
raise RuntimeError('Did not generate enough stations in outer arm '
'cluster. %i / %i'
% (x.shape[0], stations_per_outer_cluster))
i0 = i * stations_per_outer_cluster
i1 = i0 + stations_per_outer_cluster
arm_x[i0:i1] = x + cluster_x[i]
arm_y[i0:i1] = y + cluster_y[i]
return arm_x, arm_y, cluster_x, cluster_y
def test1():
n = 512
b_max = 100e3
station_d = 35.0
x, y, _ = utils.gridgen(n, b_max * 2.0, station_d, max_trials=1000)
# Plotting
fig = pyplot.figure(figsize=(8, 8))
ax = fig.add_subplot(111)
ax.plot(x, y, ".")
circle = pyplot.Circle((0, 0), b_max, color="r", fill=False, alpha=1.0, linewidth=1.0, linestyle="--")
ax.add_artist(circle)
ax.grid(True)
ax.set_xlim(-b_max * 1.1, b_max * 1.1)
ax.set_ylim(-b_max * 1.1, b_max * 1.1)
pyplot.show()
def generate_core_arms(num_arms, core_arm_count, stations_per_cluster,
arm_cluster_radius, station_radius_m,
a, b, delta_theta, arm_offsets, num_tries):
# Position of station clusters. (generate single arm and rotate to position
# with stride 3)
num_clusters = num_arms * core_arm_count
t = numpy.arange(num_clusters) * delta_theta
tmp = a * numpy.exp(b * t)
cluster_x = tmp * numpy.cos(t)
cluster_y = tmp * numpy.sin(t)
for i in range(num_arms):
cluster_x[i::3], cluster_y[i::3] = \
rotate_coords(cluster_x[i::3], cluster_y[i::3],
math.degrees(arm_offsets[i]))
# TODO(BM) shrink arm cluster radius with cluster telescope radius
# Generate stations at the cluster positions.
num_stations = num_clusters * stations_per_cluster
arm_x = numpy.zeros(num_stations)
arm_y = numpy.zeros(num_stations)
arm_cluster_radius_m_inc = (arm_cluster_radius * 1.0) / (num_clusters - 1)
for i in range(num_clusters):
cluster_radius_m = arm_cluster_radius_m_inc * (num_clusters - 1 - i)
cluster_radius_m += arm_cluster_radius
cluster_radius_m = arm_cluster_radius
print(i, cluster_radius_m)
for t in range(num_tries):
# x, y, _ = gridgen(stations_per_cluster, arm_cluster_radius * 2.0,
# station_radius_m * 2.0, 30000)
x, y, _ = gridgen(stations_per_cluster, cluster_radius_m * 2.0,
station_radius_m * 2.0, 30000)
if x.shape[0] == stations_per_cluster:
break
else:
print('.', end='')
if not x.shape[0] == stations_per_cluster:
raise RuntimeError('Did not generate enough stations in arm '
'cluster. %i / %i'
% (x.shape[0], stations_per_cluster))
i0 = i * stations_per_cluster
i1 = i0 + stations_per_cluster
arm_x[i0:i1] = x + cluster_x[i]
arm_y[i0:i1] = y + cluster_y[i]
return arm_x, arm_y, cluster_x, cluster_y
