def plot(self):
tof1,x1,y1,tof2,x2,y2,tof3,x3,y3,delay,adc1,adc2,index = self.xyt_list
l = float(self.l_entry.get())
z0 = float(self.z0_entry.get())
vz0 = float(self.vz0_entry.get())
x_jet = float(self.x_entry.get())
vx_jet =float(self.vx_entry.get())
y_jet = float(self.y_entry.get())
vy_jet = float(self.vy_entry.get())
C = float(self.c_entry.get())
t0 = float(self.t0_entry.get())
conv = 0.457102 #conversion factor from mm/ns to atomic units
self.param_list = [l, z0, vz0, x_jet, vx_jet, y_jet, vy_jet, C, t0]
acc1 = self.acc(1, l, z0, self.m1, C) #acceleration of 1st ion
acc2 = self.acc(1, l, z0, self.m2, C) #acceleration of 2nd ion
acc3 = self.acc(1, l, z0, self.m3, C) #acceleration of 3rd ion
vx1_cm = ((x1 - (x_jet))/(tof1 - t0)) - (vx_jet)
vy1_cm = ((y1 - (y_jet))/(tof1 - t0)) - (vy_jet)
vx2_cm = ((x2 - (x_jet))/(tof2 - t0)) - (vx_jet)
vy2_cm = ((y2 - (y_jet))/(tof2 - t0)) - (vy_jet)
vx3_cm = ((x3 - (x_jet))/(tof3 - t0)) - (vx_jet)
vy3_cm = ((y3 - (y_jet))/(tof3 - t0)) - (vy_jet)
vz1_cm = (l-z0)/(tof1-t0) - (1/2)*acc1*(tof1-t0) + vz0
vz2_cm = (l-z0)/(tof2-t0) - (1/2)*acc2*(tof2-t0) + vz0
vz3_cm = (l-z0)/(tof3-t0) - (1/2)*acc3*(tof3-t0) + vz0
px1 = self.m1 * vx1_cm * conv
px2 = self.m2 * vx2_cm * conv
px3 = self.m3 * vx3_cm * conv
py1 = self.m1 * vy1_cm * conv
py2 = self.m2 * vy2_cm * conv
py3 = self.m3 * vy3_cm * conv
pz1 = self.m1 * vz1_cm * conv
pz2 = self.m2 * vz2_cm * conv
pz3 = self.m3 * vz3_cm * conv
ptotx = px1 + px2 + px3
ptoty = py1 + py2 + py3
ptotz = pz1 + pz2 + pz3
self.ax1.clear()
self.ax2.clear()
self.ax3.clear()
h1, edge1 = hist1d(ptotx, self.ax1, 'X Momentum Sum',
'X Momentum (a.u.)','Counts', output=True)
h2, edge2 = hist1d(ptoty, self.ax2, 'Y Momentum Sum',
'Y Momentum (a.u.)','', output=True)
h3, edge3 = hist1d(ptotz, self.ax3, 'Z Momentum Sum',
'Z Momentum (a.u.)', output=True)
if self.tog_state.get() == 1:
self.gaussfit(edge1, h1, [1,0,1], self.ax1)
self.gaussfit(edge2, h2, [1,0,1], self.ax2)
self.gaussfit(edge3, h3, [1,0,1], self.ax3)
self.canvas.draw()
def plot_energy(self, binsize='default'):
plt.style.use('default')
fig, ax = plt.subplots(1, 1)
fig.canvas.set_window_title('Ion Kinetic Energy and Total KER')
hist1d(self.ke_tot1, ax, '', '', '', binsize=binsize)
hist1d(self.ke_tot2, ax, '', '', '', binsize=binsize)
hist1d(self.ke_tot3, ax, '', '', '', binsize=binsize)
hist1d(self.ker, ax, '{} , {}, {} Kinetic Energy'.format(self.ion1,
self.ion2, self.ion3), 'Kinetic Energy (eV)', 'Counts',
binsize=binsize)
ax.legend([self.ion1, self.ion2, self.ion3, 'Total KER'])
def plot_psum(self, binsize='default'):
plt.style.use('default')
fig, ax = plt.subplots(1, 3)
fig.canvas.set_window_title('Momentum Sums')
hist1d(self.ptotx,
ax[0],
'X Momentum Sum',
'X Momentum (a.u.)',
'Counts',
binsize=binsize)
hist1d(self.ptoty,
ax[1],
'Y Momentum Sum',
'Y Momentum (a.u.)',
'',
binsize=binsize)
hist1d(self.ptotz,
ax[2],
'Z Momentum Sum',
'Z Momentum (a.u.)',
'',
binsize=binsize)
title = (self.ion1 + ', ' + self.ion2 + ', ' + self.ion3 +
' Momentum Sums')
fig.suptitle(title)
def plot_energy(self, binsize='default'):
fig, ax = plt.subplots(1, 3)
fig.canvas.set_window_title('Ion Kinetic Energy and KER')
hist1d(self.ke_tot1,
ax[0],
'{} Kinetic Energy'.format(self.ion1),
'Kinetic Energy (eV)',
'Counts',
binsize=binsize)
hist1d(self.ke_tot2,
ax[1],
'{} Kinetic Energy'.format(self.ion2),
'Kinetic Energy (eV)',
'',
binsize=binsize)
hist1d(self.ker,
ax[2],
'Kinetic Energy Release',
'Kinetic Energy (eV)',
'',
binsize=binsize)
def plot_pxyz(self):
plt.style.use('default')
fig, [ax1, ax2, ax3] = plt.subplots(1, 3)
fig.suptitle('{} Momentum'.format(self.ion1))
fig.canvas.set_window_title('Ion 1 XYZ Momentum')
hist1d(self.px1, ax1)
hist1d(-(self.px1), ax1, 'X Momentum', 'Momentum (a.u.)', 'Counts')
ax1.legend(['$P_x$', '$-P_x$'], loc=1)
hist1d(self.py1, ax2)
hist1d(-(self.py1), ax2, 'Y Momentum', 'Momentum (a.u.)')
ax2.legend(['$P_y$', '$-P_y$'], loc=1)
hist1d(self.pz1, ax3)
hist1d(-(self.pz1), ax3, 'Z Momentum', 'Momentum (a.u.)')
ax3.legend(['$P_z$', '$-P_z$'], loc=1)
fig, [ax1, ax2, ax3] = plt.subplots(1, 3)
fig.suptitle('{} Momentum'.format(self.ion2))
fig.canvas.set_window_title('Ion 2 XYZ Momentum')
hist1d(self.px2, ax1)
hist1d(-(self.px2), ax1, 'X Momentum', 'Momentum (a.u.)', 'Counts')
ax1.legend(['$P_x$', '$-P_x$'], loc=1)
hist1d(self.py2, ax2)
hist1d(-(self.py2), ax2, 'Y Momentum', 'Momentum (a.u.)')
ax2.legend(['$P_y$', '$-P_y$'], loc=1)
hist1d(self.pz2, ax3)
hist1d(-(self.pz2), ax3, 'Z Momentum', 'Momentum (a.u.)')
ax3.legend(['$P_z$', '$-P_z$'], loc=1)
