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Merge branch 'janitaws/latex' into coryab/code

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Cory Balaton
2023-12-05 18:23:26 +01:00
parent 9e281d5e33 b84994f1fb
commit f50a55c764
53 changed files with 80594 additions and 343 deletions
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32
python_scripts/burn_in_time.py
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@@ -17,8 +17,10 @@ plt.rcParams.update(params)
def plot_1_0():
files = [
"data/hp/burn_in_time/unordered_1_0_1421110368.txt",
"data/hp/burn_in_time/ordered_1_0_611577739.txt",
# "data/hp/burn_in_time/unordered_1_0_1421110368.txt",
# "data/hp/burn_in_time/ordered_1_0_611577739.txt",
"data/hp/burn_in_time/unordered_1_0.txt",
"data/hp/burn_in_time/ordered_1_0.txt",
]
labels = [
"Unordered",
@@ -48,13 +50,13 @@ def plot_1_0():
ax1.plot(t, energy, label=f"{label}", color=color)
ax2.plot(t, magnetization, label=f"{label}", color=color)
ax1.set_xlabel("t")
ax1.set_ylabel(r"$\langle \epsilon \rangle$")
ax1.set_xlabel("t (MC cycles)")
ax1.set_ylabel(r"$\langle \epsilon \rangle$ $(J)$")
ax1.legend(title="Initial state", loc="upper right")
fig1.savefig("./latex/images/burn_in_time_energy_1_0.pdf", bbox_inches="tight")
ax2.set_ylabel(r"$\langle |m| \rangle$")
ax2.set_xlabel("t")
ax2.set_ylabel(r"$\langle |m| \rangle$ (unitless)")
ax2.set_xlabel("t (MC cycles)")
ax2.legend(title="Initial state", loc="upper right")
fig2.savefig(
"./latex/images/burn_in_time_magnetization_1_0.pdf", bbox_inches="tight"
@@ -63,8 +65,10 @@ def plot_1_0():
def plot_2_4():
files = [
"data/hp/burn_in_time/unordered_2_4_1212892317.txt",
"data/hp/burn_in_time/ordered_2_4_2408603856.txt",
# "data/hp/burn_in_time/unordered_2_4_1212892317.txt",
# "data/hp/burn_in_time/ordered_2_4_2408603856.txt",
"data/hp/burn_in_time/unordered_2_4.txt",
"data/hp/burn_in_time/ordered_2_4.txt",
]
labels = [
"Unordered",
@@ -94,13 +98,13 @@ def plot_2_4():
ax1.plot(t, energy, label=f"{label}", color=color)
ax2.plot(t, magnetization, label=f"{label}", color=color)
ax1.set_xlabel("t")
ax1.set_ylabel(r"$\langle \epsilon \rangle$")
ax1.set_xlabel("t (MC cycles)")
ax1.set_ylabel(r"$\langle \epsilon \rangle$ $(J)$")
ax1.legend(title="Initial state", loc="upper right")
fig1.savefig("./latex/images/burn_in_time_energy_2_4.pdf", bbox_inches="tight")
ax2.set_ylabel(r"$\langle |m| \rangle$")
ax2.set_xlabel("t")
ax2.set_ylabel(r"$\langle |m| \rangle$ (unitless)")
ax2.set_xlabel("t (MC cycles)")
ax2.legend(title="Initial state", loc="upper right")
fig2.savefig(
"./latex/images/burn_in_time_magnetization_2_4.pdf", bbox_inches="tight"

2
python_scripts/pd_estimate.py
View File

@@ -40,7 +40,7 @@ def plot(infile, outfile):
ec="white",
lw=0.2,
)
ax1.set_xlabel(r"$\epsilon$")
ax1.set_xlabel(r"$\epsilon$ $(J)$")
ax1.set_ylabel("Density")
mu, sigma = np.mean(eps), np.std(eps)

110
python_scripts/phase_transition.py
View File

@@ -4,6 +4,20 @@ from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import linregress
import seaborn as sns
sns.set_theme()
params = {
"font.family": "Serif",
"font.serif": "Roman",
"text.usetex": True,
"axes.titlesize": "large",
"axes.labelsize": "large",
"xtick.labelsize": "large",
"ytick.labelsize": "large",
"legend.fontsize": "medium",
}
plt.rcParams.update(params)
def plot_phase_transition_alt(indir, outdir):
@@ -65,20 +79,40 @@ def plot_phase_transition_alt(indir, outdir):
x = np.linspace(0, 1 / 20, 1001)
regression = linregress(inv_L, Tc)
f = lambda x: regression[0] * x + regression[1]
stats = (
f"$\\beta_{0}$ = {regression[1]:.4f}\n"
f"$\\beta_{1}$ = {regression[0]:.4f}"
)
bbox = dict(boxstyle="round", pad=0.3, fc="white", ec="white", alpha=0.5)
ax5.text(
0.6, 0.6, stats, bbox=bbox, transform=ax1.transAxes, ha="right", va="center"
)
ax5.scatter(inv_L, Tc)
ax5.plot(x, f(x), label=f"m = {regression[0]}, i = {regression[1]}")
ax5.plot(x, f(x))
figure1.legend()
figure2.legend()
figure3.legend()
figure4.legend()
figure5.legend()
ax1.set_xlabel(r"T $(J/k_{B})$")
ax1.set_ylabel(r"$\langle \epsilon \rangle$ $(J)$")
ax1.legend(title="Lattice size", loc="upper right")
figure1.savefig(Path(outdir, "energy.pdf"))
figure2.savefig(Path(outdir, "magnetization.pdf"))
figure3.savefig(Path(outdir, "heat_capacity.pdf"))
figure4.savefig(Path(outdir, "susceptibility.pdf"))
figure5.savefig(Path(outdir, "linreg.pdf"))
ax2.set_xlabel(r"T $(J/k_{B})$")
ax2.set_ylabel(f"$\\langle |m| \\rangle$ (unitless)")
ax2.legend(title="Lattice size", loc="upper right")
ax3.set_xlabel(r"T $(J/k_{B})$")
ax3.set_ylabel(r"$C_{V}$ $(k_{B})$")
ax3.legend(title="Lattice size", loc="upper right")
ax4.set_xlabel(r"T $(J/k_{B})$")
ax4.set_ylabel(r"$\chi$ $(1/J)$")
ax4.legend(title="Lattice size", loc="upper right")
# ax5.legend()
figure1.savefig(Path(outdir, "energy.pdf"), bbox_inches="tight")
figure2.savefig(Path(outdir, "magnetization.pdf"), bbox_inches="tight")
figure3.savefig(Path(outdir, "heat_capacity.pdf"), bbox_inches="tight")
figure4.savefig(Path(outdir, "susceptibility.pdf"), bbox_inches="tight")
figure5.savefig(Path(outdir, "linreg.pdf"), bbox_inches="tight")
plt.close(figure1)
plt.close(figure2)
@@ -99,11 +133,11 @@ def plot_phase_transition(indir, outdir):
"size_100.txt",
]
labels = [
"L = 20",
"L = 40",
"L = 60",
"L = 80",
"L = 100",
"20",
"40",
"60",
"80",
"100",
]
figure1, ax1 = plt.subplots()
@@ -151,20 +185,40 @@ def plot_phase_transition(indir, outdir):
x = np.linspace(0, 1 / 20, 1001)
regression = linregress(inv_L, Tc)
f = lambda x: regression[0] * x + regression[1]
stats = (
f"$\\beta_{0}$ = {regression[1]:.4f}\n"
f"$\\beta_{1}$ = {regression[0]:.4f}"
)
bbox = dict(boxstyle="round", pad=0.3, fc="white", ec="white", alpha=0.5)
ax5.text(
0.6, 0.6, stats, bbox=bbox, transform=ax1.transAxes, ha="right", va="center"
)
ax5.scatter(inv_L, Tc)
ax5.plot(x, f(x), label=f"m = {regression[0]}, i = {regression[1]}")
ax5.plot(x, f(x))
figure1.legend()
figure2.legend()
figure3.legend()
figure4.legend()
figure5.legend()
ax1.set_xlabel(r"T $(J/k_{B})$")
ax1.set_ylabel(r"$\langle \epsilon \rangle$ $(J)$")
ax1.legend(title="Lattice size", loc="upper right")
figure1.savefig(Path(outdir, "energy.pdf"))
figure2.savefig(Path(outdir, "magnetization.pdf"))
figure3.savefig(Path(outdir, "heat_capacity.pdf"))
figure4.savefig(Path(outdir, "susceptibility.pdf"))
figure5.savefig(Path(outdir, "linreg.pdf"))
ax2.set_xlabel(r"T $(J/k_{B})$")
ax2.set_ylabel(r"$\langle |m| \rangle$ (unitless)")
ax2.legend(title="Lattice size", loc="upper right")
ax3.set_xlabel(r"T $(J/k_{B})$")
ax3.set_ylabel(r"$C_{V}$ $(k_{B})$")
ax3.legend(title="Lattice size", loc="upper right")
ax4.set_xlabel(r"T $(J/k_{B})$")
ax4.set_ylabel(r"$\chi$ $(1/J)$")
ax4.legend(title="Lattice size", loc="upper right")
# print(Tc)
figure1.savefig(Path(outdir, "energy.pdf"), bbox_inches="tight")
figure2.savefig(Path(outdir, "magnetization.pdf"), bbox_inches="tight")
figure3.savefig(Path(outdir, "heat_capacity.pdf"), bbox_inches="tight")
figure4.savefig(Path(outdir, "susceptibility.pdf"), bbox_inches="tight")
figure5.savefig(Path(outdir, "linreg.pdf"), bbox_inches="tight")
plt.close(figure1)
plt.close(figure2)
@@ -174,7 +228,7 @@ def plot_phase_transition(indir, outdir):
if __name__ == "__main__":
plot_phase_transition_alt(
plot_phase_transition(
"data/fox/phase_transition/wide/10M/",
"latex/images/phase_transition/fox/wide/10M/",
)

59
python_scripts/test_burn_in.py
View File

@@ -2,6 +2,20 @@ from os import makedirs
from pathlib import Path
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_theme()
params = {
"font.family": "Serif",
"font.serif": "Roman",
"text.usetex": True,
"axes.titlesize": "large",
"axes.labelsize": "large",
"xtick.labelsize": "large",
"ytick.labelsize": "large",
"legend.fontsize": "medium",
}
plt.rcParams.update(params)
def plot(indir, outdir):
@@ -13,8 +27,12 @@ def plot(indir, outdir):
"burn_in.txt",
]
labels = [
"Without burn-in time",
"With burn-in time",
"Without",
"With",
]
colors = [
"darkred",
"seagreen",
]
figure1, ax1 = plt.subplots()
@@ -22,7 +40,7 @@ def plot(indir, outdir):
figure3, ax3 = plt.subplots()
figure4, ax4 = plt.subplots()
for file, label in zip(files, labels):
for file, label, color in zip(files, labels, colors):
t = []
e = []
m = []
@@ -39,20 +57,31 @@ def plot(indir, outdir):
CV.append(float(l[3]))
X.append(float(l[4]))
ax1.plot(t, e, label=label)
ax2.plot(t, m, label=label)
ax3.plot(t, CV, label=label)
ax4.plot(t, X, label=label)
ax1.plot(t, e, label=label, color=color)
ax2.plot(t, m, label=label, color=color)
ax3.plot(t, CV, label=label, color=color)
ax4.plot(t, X, label=label, color=color)
figure1.legend()
figure2.legend()
figure3.legend()
figure4.legend()
ax1.set_xlabel(r"T $(J/k_{B})$")
ax1.set_ylabel(r"$\langle \epsilon \rangle$ $(J)$")
ax1.legend(title="Burn-in time", loc="upper right")
figure1.savefig(Path(outdir, "energy.pdf"))
figure2.savefig(Path(outdir, "magnetization.pdf"))
figure3.savefig(Path(outdir, "heat_capacity.pdf"))
figure4.savefig(Path(outdir, "susceptibility.pdf"))
ax2.set_xlabel(r"T $(J/k_{B})$")
ax2.set_ylabel(r"$\langle |m| \rangle$ $(unitless)$")
ax2.legend(title="Burn-in time", loc="upper right")
ax3.set_xlabel(r"T $(J/k_{B})$")
ax3.set_ylabel(r"$C_{V}$ $(k_{B})$")
ax3.legend(title="Burn-in time", loc="upper right")
ax4.set_xlabel(r"T $(J/k_{B})$")
ax4.set_ylabel(r"$\chi$ $(1/J)$")
ax4.legend(title="Burn-in time", loc="upper right")
figure1.savefig(Path(outdir, "energy.pdf"), bbox_inches="tight")
figure2.savefig(Path(outdir, "magnetization.pdf"), bbox_inches="tight")
figure3.savefig(Path(outdir, "heat_capacity.pdf"), bbox_inches="tight")
figure4.savefig(Path(outdir, "susceptibility.pdf"), bbox_inches="tight")
plt.close(figure1)
plt.close(figure2)

4
python_scripts/timing.py
View File

@@ -51,9 +51,9 @@ def plot_timing(indir, outdir):
ax1.set_xlabel(xlabel)
ax1.set_ylabel("time (seconds)")
figure1.legend()
ax1.legend()
figure1.savefig(Path(outdir, outfile))
figure1.savefig(Path(outdir, outfile), bbox_inches="tight")
plt.close(figure1)