def update(val):
pdict.update({'phase': sphi.val, 'fcoh': sfcoh.val, 'fbkg': sfbkg.val})
s, b, total = model(x0, **pdict)
tot.set_ydata(total)
sig.set_ydata(s)
bkg.set_ydata(b)
fig.canvas.draw_idle()
def update2(val):
pdict2.update({
'phase': sphi.val,
'fcoh': sfcoh.val,
'width': swidth.val * 10**-3
})
_, _, total = model(x0, **pdict2)
tot2.set_ydata(total)
fig.canvas.draw_idle()
def update1(val):
pdict1.update({
'b': [1, sb1.val, sb2.val],
'fbkg': sfbkg.val,
'mass': smass.val
})
_, _, total = model(x0, **pdict1)
tot1.set_ydata(total)
fig.canvas.draw_idle()
def show_bw_conv(pdict=params()):
pdict = params()
pdict['fcoh'] = 0
pdict['fbkg'] = 0
N = 500
x = np.linspace(3.85, 3.9, N)
y = model(x, **pdict)
make_plot(x, y)
def show_model(pdict=params()):
N = 1000
x0 = np.linspace(3.84, 3.91, N)
s, b, total = model(x0, **pdict)
fig, _ = plt.subplots(figsize=(7, 8))
tot, = plt.plot(x0, total)
sig, = plt.plot(x0, s)
bkg, = plt.plot(x0, b)
plt.ylim(0., 1.5 * max(total))
plt.xlim(3.85, 3.9)
plt.grid()
plt.tight_layout()
plt.subplots_adjust(left=0.1, bottom=0.25)
axcolor = 'lightgoldenrodyellow'
axphi = plt.axes([0.15, 0.15, 0.65, 0.03], facecolor=axcolor)
axfcoh = plt.axes([0.15, 0.10, 0.65, 0.03], facecolor=axcolor)
axfbkg = plt.axes([0.15, 0.05, 0.65, 0.03], facecolor=axcolor)
sphi = Slider(axphi,
'phi',
-np.pi,
np.pi,
valinit=pdict['phase'],
valfmt='%1.3f')
sfcoh = Slider(axfcoh,
'fcoh',
0.,
0.05,
valinit=pdict['fcoh'],
valfmt='%1.3f')
sfbkg = Slider(axfbkg,
'fbkg',
0.,
1.00,
valinit=pdict['fbkg'],
valfmt='%1.3f')
def update(val):
pdict.update({'phase': sphi.val, 'fcoh': sfcoh.val, 'fbkg': sfbkg.val})
s, b, total = model(x0, **pdict)
tot.set_ydata(total)
sig.set_ydata(s)
bkg.set_ydata(b)
fig.canvas.draw_idle()
sphi.on_changed(update)
sfcoh.on_changed(update)
sfbkg.on_changed(update)
plt.show()
def show_model(pdict=params()):
N = 500
x = np.linspace(3.84, 3.91, N)
s, b, total = model(x, **pdict)
plt.figure(figsize=(8, 6))
plt.plot(x, total)
plt.plot(x, s)
plt.plot(x, b)
plt.ylim(0., 1.05 * max(total))
plt.xlim(3.85, 3.9)
plt.grid()
plt.tight_layout()
def show_model(pdict1=params(), pdict2=params()):
N = 1000
x0 = np.linspace(3.84, 3.91, N)
pdict1['fcoh'] = 0
pdict2['fbkg'] = 0
fig, _ = plt.subplots(figsize=(9, 8))
s1, b1, total1 = model(x0, **pdict1)
tot1, = plt.plot(x0, total1)
# sig1, = plt.plot(x0, s1)
# bkg1, = plt.plot(x0, b1)
s2, b2, total2 = model(x0, **pdict2)
tot2, = plt.plot(x0, total2)
# sig2, = plt.plot(x0, s2)
# bkg2, = plt.plot(x0, b2)
plt.ylim(0., 1.5 * max(total1))
plt.xlim(3.85, 3.9)
plt.grid()
plt.tight_layout()
plt.subplots_adjust(left=0.1, bottom=0.25)
axcolor = 'lightgoldenrodyellow'
axb2 = plt.axes([0.10, 0.17, 0.3, 0.03], facecolor=axcolor)
axb1 = plt.axes([0.10, 0.12, 0.3, 0.03], facecolor=axcolor)
axfbkg = plt.axes([0.10, 0.07, 0.3, 0.03], facecolor=axcolor)
axmass = plt.axes([0.10, 0.02, 0.3, 0.03], facecolor=axcolor)
sb2 = Slider(axb2, 'b2', -5, 5, valinit=pdict1['b'][2], valfmt='%1.3f')
sb1 = Slider(axb1, 'b1', -5, 5, valinit=pdict1['b'][1], valfmt='%1.3f')
sfbkg = Slider(axfbkg,
'fbkg',
0,
1,
valinit=pdict1['fbkg'],
valfmt='%1.3f')
smass = Slider(axmass,
'mass',
3.868,
3.876,
valinit=pdict1['mass'],
valfmt='%1.3f')
axphi = plt.axes([0.55, 0.15, 0.3, 0.03], facecolor=axcolor)
axfcoh = plt.axes([0.55, 0.10, 0.3, 0.03], facecolor=axcolor)
axwdth = plt.axes([0.55, 0.05, 0.3, 0.03], facecolor=axcolor)
sphi = Slider(axphi,
'phi',
-np.pi,
np.pi,
valinit=pdict2['phase'],
valfmt='%1.3f')
sfcoh = Slider(axfcoh,
'fcoh',
0.,
0.05,
valinit=pdict2['fcoh'],
valfmt='%1.3f')
swidth = Slider(axwdth,
'width',
0.,
3,
valinit=pdict2['width'] * 10**3,
valfmt='%1.3f')
def update1(val):
pdict1.update({
'b': [1, sb1.val, sb2.val],
'fbkg': sfbkg.val,
'mass': smass.val
})
_, _, total = model(x0, **pdict1)
tot1.set_ydata(total)
fig.canvas.draw_idle()
def update2(val):
pdict2.update({
'phase': sphi.val,
'fcoh': sfcoh.val,
'width': swidth.val * 10**-3
})
_, _, total = model(x0, **pdict2)
tot2.set_ydata(total)
fig.canvas.draw_idle()
sphi.on_changed(update2)
sfcoh.on_changed(update2)
swidth.on_changed(update2)
sb1.on_changed(update1)
sb2.on_changed(update1)
sfbkg.on_changed(update1)
smass.on_changed(update1)
plt.show()