def draw_several_cams(geom):
ncams = 4
cmaps = [plt.cm.jet, plt.cm.afmhot, plt.cm.terrain, plt.cm.autumn]
fig, ax = plt.subplots(1, ncams, figsize=(15, 4), sharey=True, sharex=True)
for ii in range(ncams):
disp = visualization.CameraDisplay(geom, axes=ax[ii],
title="CT{}".format(ii + 1))
model = mock.generate_2d_shower_model(centroid=(0.2 - ii * 0.1,
-ii * 0.05),
width=0.005 + 0.001 * ii,
length=0.1 + 0.05 * ii,
psi=np.radians(ii * 20))
image, sig, bg = mock.make_mock_shower_image(geom, model.pdf,
intensity=50,
nsb_level_pe=1000)
clean = image.copy()
clean[image <= 3.0 * image.mean()] = 0.0
hillas = hillas_parameters(geom.pix_x.value, geom.pix_y.value, clean)
disp.set_cmap(cmaps[ii])
disp.set_image(image)
disp.overlay_moments(hillas, linewidth=3, color='blue')
def draw_several_cams(geom, ncams=4):
cmaps = ['jet', 'afmhot', 'terrain', 'autumn']
fig, axs = plt.subplots(1, ncams, figsize=(15, 4), sharey=True, sharex=True)
for ii in range(ncams):
disp = visualization.CameraDisplay(
geom,
ax=axs[ii],
title="CT{}".format(ii + 1),
)
disp.cmap = cmaps[ii]
model = mock.generate_2d_shower_model(
centroid=(0.2 - ii * 0.1, -ii * 0.05),
width=0.005 + 0.001 * ii,
length=0.1 + 0.05 * ii,
psi=ii * 20 * u.deg,
)
image, sig, bg = mock.make_mock_shower_image(
geom,
model.pdf,
intensity=50,
nsb_level_pe=1000,
)
clean = image.copy()
clean[image <= 3.0 * image.mean()] = 0.0
hillas = hillas_parameters(geom.pix_x, geom.pix_y, clean)
disp.image = image
disp.add_colorbar(ax=axs[ii])
disp.set_limits_percent(95)
disp.overlay_moments(hillas, linewidth=3, color='blue')
def draw_several_cams(geom):
ncams = 4
cmaps = [plt.cm.jet, plt.cm.afmhot, plt.cm.terrain, plt.cm.autumn]
fig, ax = plt.subplots(1, ncams, figsize=(15, 4), sharey=True, sharex=True)
for ii in range(ncams):
disp = visualization.CameraDisplay(geom,
ax=ax[ii],
title="CT{}".format(ii + 1))
disp.cmap = cmaps[ii]
model = mock.generate_2d_shower_model(centroid=(0.2 - ii * 0.1,
-ii * 0.05),
width=0.005 + 0.001 * ii,
length=0.1 + 0.05 * ii,
psi=ii * 20 * u.deg)
image, sig, bg = mock.make_mock_shower_image(geom,
model.pdf,
intensity=50,
nsb_level_pe=1000)
clean = image.copy()
clean[image <= 3.0 * image.mean()] = 0.0
hillas = hillas_parameters(geom.pix_x.value, geom.pix_y.value, clean)
disp.image = image
disp.set_limits_percent(95)
disp.overlay_moments(hillas, linewidth=3, color='blue')
