# ====================================== # Evaluate Bassetti-Erskine # ====================================== E_x, E_y = E_complex(Xgrid.T, Ygrid.T, sx, sy, 1) E_mag = np.sqrt(E_x**2 + E_y**2) # ====================================== # Evaluate 2D Circular Gaussian # ====================================== new = np.abs(invlaw(Xgrid.T, Ygrid.T, 1)) # ====================================== # Plot Basetti-Erskine # ====================================== im = sm.imshow(E_mag, ax=ax[0, 0], vmin=0, vmax=np.max(new)) sm.addlabel(ax=ax[0, 0], toplabel='Elliptical Field Magnitude') # ====================================== # Plot 2D Circular Gaussian # ====================================== im = sm.imshow(new, ax=ax[0, 1], vmin=0, vmax=np.max(new)) sm.addlabel(ax=ax[0, 1], toplabel='Circular Field Magnitude', xlabel='x', ylabel='y') # ====================================== # Plot Field Strength Differences # ====================================== im = sm.imshow(E_mag-new, ax=ax[0, 2], cmap='bwr', vmin=-0.04, vmax=0.04) sm.addlabel(ax=ax[0, 2], toplabel='Field Magnitude Difference', xlabel='x', ylabel='y') # ====================================== # Plot differences in major, minor axes
def plotfit(
x ,
y ,
beta ,
X ,
top = None ,
bottom = 'Arbitrary' ,
figpath = None ,
error = None ,
figlabel = None ,
axes = None ,
fontsize = None ,
**kwargs
):
"""
.. deprecated:: 0.0.0
I'm not really sure what this function does, but it's not referenced anywhere else.
"""
# ======================================
# Set up PDF saving
# ======================================
# print axes
# if axes is None:
# if not (figlabel == None):
# fig = _mt.figure(figlabel)
# else:
# fig = _plt.figure()
# axes=fig.add_subplot(1, 1, 1)
# else:
# pass
# # fig = axes.get_figure()
# Convert from meters to um
y_data_mm_sq = y * 1e6
y_fit_mm_sq = _np.dot(X, beta) * 1e6
# error_mm_sq = error * 1e6
# =================================================
# VARIANCE FITS
# =================================================
# Plot data with error bars
# axes.errorbar(x, y_data_mm_sq, error_mm_sq, fmt='.-')
# axes.plot(x, y_data_mm_sq, 'o-', **kwargs)
# Plot fits
# axes.plot(x, y_fit_mm_sq, '-', **kwargs)
# =================================================
# SIGMA FITS
# =================================================
# Plot data with error bars
# axes.errorbar(x, y_data_mm_sq, error_mm_sq, fmt='.-')
axes.plot(x, _np.sqrt(y_data_mm_sq)*1e3, 'o-', **kwargs)
# Plot fits
axes.plot(x, _np.sqrt(y_fit_mm_sq)*1e3, '-', **kwargs)
# _mt.addlabel(top, bottom, '$\sigma_x^2$ [mm$^2$]')
if fontsize is None:
axes.legend(['Measured Slices', 'Fit to Measurement'])
else:
axes.legend(['Measured Slices', 'Fit to Measurement'], fontsize=fontsize)
_sm.addlabel(axes=axes, xlabel='Slice Energy [GeV]', ylabel='Slice Spot Size $\\sigma_x$ [$\\mu$m]', toplabel=top)
# if fig is not None:
# fig.tight_layout()
# if not (figpath == None):
# _mt.graphics.savefig(figlabel, figpath)
return axes
