Lambda = pf.get_lambda('param')
N = pf.get_N('e-q0s1_table1.dat')
N_array = np.arange(0, N, 2)
plt.style.use('seaborn-dark-palette')
fig, ax = plt.subplots()
plt.grid(b=True, which='major', color='black', linewidth='0.4', alpha=0.3)
colours = mcolors.TABLEAU_COLORS
i = 0
for j, colour in zip(J, colours.keys()):
pf.write_param(Jkondo=j)
subprocess.call('./1c_run_flow')
pf.plot_arrow_diagram(ax,
colour=colours[colour],
llabel='J = {:.2f}'.format(j),
multi=True)
ax.legend(loc='upper right',
frameon=True,
facecolor='white',
edgecolor='white',
framealpha=0.7)
if OUTFILE != 0:
plt.savefig(OUTFILE)
else:
plt.show()
arguments.append(arg)
OUTFILE = 0
if np.size(arguments) >= 1:
OUTFILE = arguments[1]
plt.style.use('seaborn-dark-palette')
fig, ax = plt.subplots()
plt.grid(b=True, which='major', color='black', linewidth='0.4', alpha=0.3)
N = pf.get_N('e-q0s1_table1.dat')
N_array = np.arange(0, N, 2)
J_lm = np.zeros(len(N_array))
pf.plot_arrows(N_array, J_lm, ax, colour='tab:blue', llabel='local moment')
J_sc = 1.33742913 * np.ones(len(N_array))
pf.plot_arrows(N_array, J_sc, ax, colour='tab:red', llabel='strong coupling')
pf.plot_arrow_diagram(ax)
plt.legend(loc="upper center",
frameon=True,
framealpha=0.7,
facecolor='white',
edgecolor='white')
if OUTFILE != 0:
plt.savefig("{}".format(OUTFILE))
else:
plt.show()
UG_4 = np.array([1e-2, 2e-3])
UG_5 = np.array([1e-2, 5e-3])
UG_6 = np.array([0.0, 1e-2])
UG = [[0.01, 0], [0.01, 2e-4], [0.01, 7e-4], [0.01, 1e-3], [0.01, 2e-3],
[0.01, 5e-3], [0.01, 2e-2], [0.01, 1e-2], [0, 0.01]]
Lambda = pf.get_lambda('param')
plt.style.use('seaborn-paper')
fig = plt.figure()
ax = fig.add_axes([0.15, 0.15, 0.8, 0.75])
colours = mcolors.TABLEAU_COLORS
i = 0
for pair, colour in zip(UG, colours.keys()):
pf.write_param(U=pair[0], Gamma=pair[1])
subprocess.call('./1c_run_flow')
pf.plot_arrow_diagram(ax, colour='black', fixedpoints=False)
pf.include_fixedpoints(ax)
# MISSING: LEGEND
if OUTFILE != 0:
plt.savefig("/graphs_and_data/arrowplots_multiple/{}".format(OUTFILE))
else:
plt.show()
import matplotlib.cm as cm
from matplotlib.lines import Line2D
import math as mt
arguments = []
for arg in sys.argv[1:]:
arguments.append(arg)
OUTFILE = 0
if np.size(arguments) >= 1:
OUTFILE = arguments[0]
plt.style.use('seaborn-paper')
fig = plt.figure()
ax = fig.add_axes([0.15, 0.2, 0.8, 0.75])
pf.plot_arrow_diagram(ax, fixedpoints=True)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.tick_params(labelsize=25)
ax.set_ylabel('$U_{\mathrm{eff}}$', fontsize=25)
ax.set_xlabel('$\Gamma_{\mathrm{eff}}$', fontsize=25)
ax.set_xticks([0, 0.5, 1])
ax.set_yticks([0, 1, 2, 3, 4])
ax.tick_params(labelsize=25)
U_param, GAMMA_param = pf.get_u_gamma()
if OUTFILE != 0:
if OUTFILE == 'folder':
plt.savefig(
"graphs_and_data/arrowflow_and_eigenflow/u-{0:.4f}_gamma-{1:.4f}_UGdiagram.png"
UG = [[0.01, 0], [0.01, 2e-4], [0.01, 2e-3], [2e-4, 0.01], [0, 0.01]]
Lambda = pf.get_lambda('param')
plt.style.use('seaborn-paper')
fig = plt.figure()
ax = fig.add_axes([0.15, 0.15, 0.8, 0.75])
colours = list(mcolors.TABLEAU_COLORS.values())
i = 0
for pair, colour in zip(UG, colours):
pf.write_param(U=pair[0], Gamma=pair[1])
subprocess.call('./1c_run_flow')
pf.plot_arrow_diagram(ax, colour=colour, fixedpoints=False)
xtest = [11110, 11111]
ytest = [111110, 111111]
if pair[0] == 0:
ax.plot(xtest,
ytest,
color=colour,
label='$U=0$, $\Gamma={:.1e}$'.format(pair[1]))
elif pair[1] == 0:
ax.plot(xtest,
ytest,
color=colour,
label='$U={:.1e}$, $\Gamma=0$'.format(pair[0]))
else:
ax.plot(xtest,