gondola.visual.tracker#

Tracker related plots and visualizations

Functions

plot_strip_lines(ax, det, layer[, color])

Use lines to indicate detector strips.

plot_tracker([hits, mask, circle_color])

Create a number of 2d plots for the tracker.

plot_tracker_proj(ax, hits[, projection, ...])

Plot 2d projection of the tracker on the given axis.

prepare_layer_fig(layer[, projection])

Set up figure and axis objects for a 2d projection of tracker layers.
gondola.visual.tracker.plot_strip_lines(ax, det, layer: int, color='k')#

Use lines to indicate detector strips. Automatically apply correct orientation for even/odd layers.

# Arguments:

ax : axis instance to plot on det : iterable providing x,y coordinates layer : tracker layer (0-9)

# Keyword Arguments:

color : the color of the lines

gondola.visual.tracker.plot_tracker_proj(ax, hits, projection='xy', use_energy=False, cmap=<matplotlib.colors.LinearSegmentedColormap object>, circle_color='w', color_energy=False, cnorm_max=None, hitstyle={'alpha': 0.5, 'edgecolor': 'w', 'marker': 'o'})#

Plot 2d projection of the tracker on the given axis. Hits can be indicated if available. Use together with "prepare_layer_fig" for a full plot with labeled axes.

# Arguments:

  • ax : The axes to plot on

  • hits : An iterable of gondola_core.events.TrackerHit

# Keyword Arguments:

  • projection : The projection to plot. Can be either "xy", "xz" or "yz"

  • cmap : A matplotlib compatible colormap to color the hits

  • circle_colorThe color with the circle showing the detector outlines

    are indicated

  • color_energyColor the circles for the hits with the energy deposition

    FIXME - color scale needs to be normalized together with the TOF

  • cnorm_maxThe colors can be normalized. Specify a maximum for the normalization

    (min will be 0)

  • hitstyleSpecify the style of the plotted hits by a dictionary which will be

    passed on to plt.scatter

gondola.visual.tracker.prepare_layer_fig(layer, projection='XY')#

Set up figure and axis objects for a 2d projection of tracker layers.

This will NOT plot any detectors/hits. It will ONLY prepare the figure/axes objects with labels and such!

# Keyword Arguments:
  • projectionEither 'XY', 'XZ' or 'ZY'. Show

    the tracker from the respective side

gondola.visual.tracker.plot_tracker(hits=None, mask=None, circle_color='w') → dict#

Create a number of 2d plots for the tracker. This includes individual plots for the individual layers as well as combined projections in xy, xz and yz.

# Keyword Arguments:
  • hitsA list of tracker hits. When given then

    plot only those layers which have hits If None given, plot all layers (e.g. to be used with the mask argument)

  • mask : Indicate masked strips (grey them out)