Visualization (visualization
)¶
Introduction¶
This module provides methods to display various information related to events and reconstruction, like Cherenkov Camera images, image parameterizations, etc. The default implementation uses MatPlotLib to render displays, but in the future more rendering methods may be supported.
The main classes are:
Getting Started¶
#!/usr/bin/env python3
"""
Example of drawing a Camera using a toymodel shower image.
"""
import astropy.units as u
import matplotlib.pylab as plt
from ctapipe.image import hillas_parameters, tailcuts_clean, toymodel
from ctapipe.instrument import SubarrayDescription
from ctapipe.visualization import CameraDisplay
if __name__ == "__main__":
# Load the camera
subarray = SubarrayDescription.read("dataset://gamma_prod5.simtel.zst")
geom = subarray.tel[1].camera.geometry
disp = CameraDisplay(geom)
disp.add_colorbar()
# Create a fake camera image to display:
model = toymodel.Gaussian(
x=0.2 * u.m, y=0.0 * u.m, width=0.05 * u.m, length=0.15 * u.m, psi="35d"
)
image, sig, bg = model.generate_image(geom, intensity=1500, nsb_level_pe=2)
# Apply image cleaning
cleanmask = tailcuts_clean(geom, image, picture_thresh=10, boundary_thresh=5)
clean = image.copy()
clean[~cleanmask] = 0.0
# Calculate image parameters
hillas = hillas_parameters(geom, clean)
print(hillas)
# Show the camera image and overlay Hillas ellipse and clean pixels
disp.image = image
disp.cmap = "inferno"
disp.highlight_pixels(cleanmask, color="crimson")
disp.overlay_moments(hillas, color="cyan", linewidth=1)
plt.show()
(Source code, png, hires.png, pdf)
Reference/API¶
ctapipe.visualization Package¶
Visualization: Methods for displaying data
Classes¶
|
Camera Display using matplotlib. |
|
Display a top-town view of a telescope array. |