Results plotting

This module uses the georges-core’s plotting module . It can uses the Matplotlib ot the Plotly library as backend.

Example:

import matplotlib.pyplot as plt
plt.rc('text', usetex=False)
fig = plt.figure(figsize=(20,8))
ax = fig.add_subplot(111)
manzoni_plot = vis.ManzoniMatplotlibArtist(ax=ax)
manzoni_plot.plot_cartouche(sequence.df) # Preparation of the plot
manzoni_plot.plot_beamline(sequence.df, print_label=False, with_aperture=False, plane='X')

If an observer has been used in the simulation, the results can be added to the previous figure depending the instance of the observer:

Type of observers

Mean Observer

MatplotlibPlotly

fig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(111)
manzoni_plot = vis.ManzoniMatplotlibArtist(ax=ax)
manzoni_plot.plot_cartouche(sequence.df)
manzoni_plot.plot_beamline(sequence.df, print_label=False, with_aperture=True, plane='X')
manzoni_plot.tracking(beam_observer_mean, plane='X')

Std Observer

MatplotlibPlotly

fig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(111)
manzoni_plot = vis.ManzoniMatplotlibArtist(ax=ax)
manzoni_plot.plot_cartouche(sequence.df)
manzoni_plot.plot_beamline(sequence.df, print_label=False, with_aperture=True, plane='X')
manzoni_plot.tracking(beam_observer_std, plane='both')

Beam Observer

MatplotlibPlotly

fig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(111)
manzoni_plot = vis.ManzoniMatplotlibArtist(ax=ax)
manzoni_plot.plot_cartouche(sequence.df)
manzoni_plot.plot_beamline(sequence.df, print_label=False, with_aperture=True, plane='X')
manzoni_plot.tracking(beam_observer_beam, fill_between=False, plane='X', mean=False, std=False, halo=True)

Phase Space Observer

MatplotlibPlotly

fig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(111)
manzoni_plot = vis.ManzoniMatplotlibArtist(ax=ax)
manzoni_plot.plot_cartouche(sequence.df)
manzoni_plot.phase_space(observer=beam_observer_beam,
                         element='Q1',
                         dim=['X', 'PX'],
                         location='OUT',
                         nbins=[51, 51])

Losses Observer

MatplotlibPlotly

fig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(111)
manzoni_plot = vis.ManzoniMatplotlibArtist(ax=ax)
manzoni_plot.plot_cartouche(sequence.df) # Preparation of the plot
manzoni_plot.losses(beam_observer_losses, log_scale=True)

Twiss Observer

MatplotlibPlotly

fig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(111)
manzoni_plot = vis.ManzoniMatplotlibArtist(ax=ax)
manzoni_plot.plot_cartouche(sequence.df)
manzoni_plot.twiss(beam_observer_tw, with_beta=True, with_alpha=False, with_dispersion=False)

Symmetry Observer

MatplotlibPlotly

fig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(111)
manzoni_plot = vis.ManzoniMatplotlibArtist(ax=ax)
manzoni_plot.plot_cartouche(sequence.df)
manzoni_plot.symmetry(observer=symmetry_observer)

API

ManzoniMatplotlibArtist([tracks_color])	A matplotlib implementation of a Matplotlib artist.
ManzoniPlotlyArtist([tracks_color])	A plotly implementation of a Plotly artist.