Cyclotron Tests

Load the RingCyclotron.stat file

from opal.opal import load_dataset, filetype

ds = load_dataset('./../../tests/testData/', ftype=filetype.TRACK_ORBIT)

Set the plotting style

from opal.visualization.styles import load_style

load_style('jupyter')

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[2], line 3
      1 from opal.visualization.styles import load_style
----> 3 load_style('jupyter')

File ~/pyOPALTools/opal/visualization/styles/load_style.py:31, in load_style(use)
     29 from opal.utilities.logger import opal_logger
     30 opal_logger.info("Loading '" + use + "' plotting style")
---> 31 eval(use + '()')

File <string>:1

File ~/pyOPALTools/opal/visualization/styles/jupyter.py:31, in jupyter()
     29 # reset
     30 from opal.visualization.styles.default import default
---> 31 default()
     33 if mpl.__version__ < '2':
     34     opal_logger.error('jupyter style not available for matplotlib version ' + mpl.__version__)

File ~/pyOPALTools/opal/visualization/styles/default.py:38, in default()
     36 mpl.rcParams['lines.linestyle']         = '-'           # solid line
     37 mpl.rcParams['lines.color']             = 'C0'          # has no affect on plot(); see axes.prop_cycle
---> 38 mpl.rcParams['lines.marker']            = None          # the default marker
     39 mpl.rcParams['lines.markeredgewidth']   = 1.0           # the line width around the marker symbol
     40 mpl.rcParams['lines.markersize']        = 6             # markersize, in points

File /usr/local/lib/python3.8/dist-packages/matplotlib/__init__.py:722, in RcParams.__setitem__(self, key, val)
    720         cval = self.validate[key](val)
    721     except ValueError as ve:
--> 722         raise ValueError(f"Key {key}: {ve}") from None
    723     self._set(key, cval)
    724 except KeyError as err:

ValueError: Key lines.marker: Could not convert None to str

Turn Separation

plt = ds.plot_turn_separation(nsteps=720)

plt.show()

plt = ds.plot_centering()

plt.show()

Centering values [R0,DR,E,F] = [ 3.57264213e+03  1.44297636e+01 -2.02490657e-01 -2.77630462e-02]

plt = ds.plot_beta_beat(nsteps=360)

plt.show()

ds.plot_energy().show()

ds.plot_energy_gain().show()

RF Phases

from opal.opal import load_dataset

ds = load_dataset('./../../tests/testData/', fname='Accelerated.out')

cnames = ['RF3B','RF4A']

plt = ds.plot_RF_phases(cnames)

plt.show()