Page MenuHomec4science
Files F63737379

plot_zero_set.py
No OneTemporary
Actions

File Metadata

Created
Wed, May 22, 04:25

plot_zero_set.py
View Options

import warnings
import numpy as np
from matplotlib import pyplot as plt
def plotZeroSet1(murange, murangeEff, approx, mu0, nSamples = 200, exp = 2.):
if hasattr(approx, "mus"):
mu2x = approx.mus(0) ** exp
else:
mu2x = mu0[0] ** exp
murangeExp = [[murange[0][0] ** exp], [murange[1][0] ** exp]]
mu1 = np.linspace(murangeEff[0][0] ** exp, murangeEff[1][0] ** exp,
nSamples)
mus = np.power(mu1, 1. / exp)
mu1 = np.real(mu1)
Z = approx.trainedModel.getQVal(mus)
Zabs = np.abs(Z)
Zmin, Zmax = np.min(Zabs), np.max(Zabs)
plt.figure(figsize = (15, 7))
plt.jet()
plt.semilogy(mu1, Zabs)
for l_ in approx.trainedModel.getPoles():
plt.plot([np.real(l_ ** exp)] * 2, [Zmin, Zmax], 'b--')
plt.plot(mu2x, [Zmax] * len(mu2x), 'kx')
for j, x in enumerate(mu2x):
plt.annotate("{}".format(j), (x, Zmax))
plt.plot([murangeExp[0][0]] * 2, [Zmin, Zmax], 'm:')
plt.plot([murangeExp[1][0]] * 2, [Zmin, Zmax], 'm:')
plt.xlim(mu1[0], mu1[-1])
plt.title("|Q(mu)|")
plt.grid()
plt.show()
return mus, Z
def plotZeroSet2(murange, murangeEff, approx, mu0, nSamples = 200,
exps = [2., 2.], clip = -1, polesImTol : float = 1e-5):
if hasattr(approx, "mus"):
mu2x, mu2y = approx.mus(0) ** exps[0], approx.mus(1) ** exps[1]
else:
mu2x, mu2y = mu0[0] ** exps[0], mu0[1] ** exps[1]
murangeExp = [[murange[0][0] ** exps[0], murange[0][1] ** exps[1]],
[murange[1][0] ** exps[0], murange[1][1] ** exps[1]]]
mu1 = np.linspace(murangeEff[0][0] ** exps[0], murangeEff[1][0] ** exps[0],
nSamples)
mu2 = np.linspace(murangeEff[0][1] ** exps[1], murangeEff[1][1] ** exps[1],
nSamples)
mu1s = np.power(mu1, 1. / exps[0])
mu2s = np.power(mu2, 1. / exps[1])
Mu1, Mu2 = np.meshgrid(np.real(mu1), np.real(mu2))
mus = [(m1, m2) for m2 in mu2s for m1 in mu1s]
poles1, poles2 = [], []
for m2 in mu2s:
pls = approx.getPoles([None, m2]) ** exps[0]
pls[np.imag(pls) > polesImTol] = np.nan
pls = np.real(pls)
poles1 += list(pls)
poles2 += [m2] * len(pls)
Z = approx.trainedModel.getQVal(mus).reshape(Mu1.shape)
Zabs = np.log10(np.abs(Z))
Zabsmin, Zabsmax = np.min(Zabs), np.max(Zabs)
if clip > 0:
Zabsmin += clip * (Zabsmax - Zabsmin)
cmap = plt.cm.bone_r
else:
cmap = plt.cm.jet
try:
pass
except:
Z = None
cmap = plt.cm.jet
warnings.simplefilter("ignore", category = (UserWarning,
np.ComplexWarning))
plt.figure(figsize = (15, 7))
plt.jet()
if Z is not None:
p = plt.contourf(Mu1, Mu2, Zabs, cmap = cmap,
levels = np.linspace(Zabsmin, Zabsmax, 50))
if clip > 0:
plt.contour(Mu1, Mu2, Zabs, [Zabsmin])
plt.plot(poles1, poles2, 'k.')
plt.plot(np.real(mu2x), np.real(mu2y), 'kx')
for j, xy in enumerate(zip(np.real(mu2x), np.real(mu2y))):
plt.annotate("{}".format(j), xy)
plt.plot([murangeExp[0][0]] * 2,
[murangeExp[0][1], murangeExp[1][1]], 'm:')
plt.plot([murangeExp[0][0], murangeExp[1][0]],
[murangeExp[1][1]] * 2, 'm:')
plt.plot([murangeExp[1][0]] * 2,
[murangeExp[1][1], murangeExp[0][1]], 'm:')
plt.plot([murangeExp[1][0], murangeExp[0][0]],
[murangeExp[0][1]] * 2, 'm:')
if Z is not None:
plt.colorbar(p)
plt.xlim(murangeExp[0][0], murangeExp[1][0])
plt.ylim(murangeExp[0][1], murangeExp[1][1])
plt.title("log10|Q(mu)|")
plt.grid()
plt.show()
return mus, Z

Event Timeline

c4science · Help