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diff --git a/Python-Scripts/Plot_Lemma1.4.py b/JNLS_plotScripts/Plot_Lemma1.4.py
similarity index 100%
rename from Python-Scripts/Plot_Lemma1.4.py
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diff --git a/Python-Scripts/Plot_MinVec.py b/JNLS_plotScripts/Plot_MinVec.py
similarity index 100%
rename from Python-Scripts/Plot_MinVec.py
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diff --git a/Python-Scripts/Plot_MinVec_v2.py b/JNLS_plotScripts/Plot_MinVec_v2.py
similarity index 100%
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diff --git a/Python-Scripts/Plot_Prestrain_Lemma1.4.py b/JNLS_plotScripts/Plot_Prestrain_Lemma1.4.py
similarity index 100%
rename from Python-Scripts/Plot_Prestrain_Lemma1.4.py
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diff --git a/Python-Scripts/Plot_Prestrain_Lemma1.4_Betas.py b/JNLS_plotScripts/Plot_Prestrain_Lemma1.4_Betas.py
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diff --git a/Python-Scripts/Plot_Prestrain_Lemma1.4_SubPlots.py b/JNLS_plotScripts/Plot_Prestrain_Lemma1.4_SubPlots.py
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rename from Python-Scripts/Plot_Prestrain_Lemma1.4_SubPlots.py
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diff --git a/Python-Scripts/Plot_aStar.py b/JNLS_plotScripts/Plot_aStar.py
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rename from Python-Scripts/Plot_aStar.py
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diff --git a/Python-Scripts/Plot_aStar_elliptic.py b/JNLS_plotScripts/Plot_aStar_elliptic.py
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rename from Python-Scripts/Plot_aStar_elliptic.py
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diff --git a/Python-Scripts/Plot_aStar_hyperbolic.py b/JNLS_plotScripts/Plot_aStar_hyperbolic.py
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rename from Python-Scripts/Plot_aStar_hyperbolic.py
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diff --git a/Python-Scripts/Plot_elasticQuantities.py b/JNLS_plotScripts/Plot_elasticQuantities.py
similarity index 100%
rename from Python-Scripts/Plot_elasticQuantities.py
rename to JNLS_plotScripts/Plot_elasticQuantities.py
diff --git a/Python-Scripts/Plotq12.py b/JNLS_plotScripts/Plotq12.py
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rename from Python-Scripts/Plotq12.py
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diff --git a/Python-Scripts/TestAngle.py b/JNLS_plotScripts/TestAngle.py
similarity index 100%
rename from Python-Scripts/TestAngle.py
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diff --git a/Python-Scripts/makePlot.py b/JNLS_plotScripts/makePlot.py
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diff --git a/Python-Scripts/makePlotmuGamma.py b/JNLS_plotScripts/makePlotmuGamma.py
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diff --git a/Python-Scripts/mayHavetoBein_src-Folder.txt b/JNLS_plotScripts/mayHavetoBein_src-Folder.txt
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diff --git a/Python-Scripts/plot-q3-gamma.py b/JNLS_plotScripts/plot-q3-gamma.py
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rename from Python-Scripts/plot-q3-gamma.py
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diff --git a/Python-Scripts/plot_Elastic_and_PrestrainRatio.py b/JNLS_plotScripts/plot_Elastic_and_PrestrainRatio.py
similarity index 100%
rename from Python-Scripts/plot_Elastic_and_PrestrainRatio.py
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diff --git a/Plot-Scripts/WoodBilayer_expComparison_r022.py b/Plot-Scripts/WoodBilayer_expComparison_r022.py
new file mode 100644
index 0000000000000000000000000000000000000000..f09281bfe4018346f1f5f7cf94466297dfa5bf87
--- /dev/null
+++ b/Plot-Scripts/WoodBilayer_expComparison_r022.py
@@ -0,0 +1,134 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import math
+import os
+import subprocess
+import fileinput
+import re
+import sys
+import matplotlib as mpl
+from mpl_toolkits.mplot3d import Axes3D
+import matplotlib.cm as cm
+import matplotlib.ticker as ticker
+from matplotlib.ticker import MultipleLocator,FormatStrFormatter,MaxNLocator
+import seaborn as sns
+import matplotlib.colors as mcolors
+# ----------------------------------------------------
+# --- Define Plot style:
+# plt.style.use("seaborn-white")
+# plt.style.use("seaborn-pastel")
+# plt.style.use("seaborn-colorblind")
+plt.style.use("seaborn")
+mpl.rcParams['text.usetex'] = True
+mpl.rcParams["font.family"] = "serif"
+mpl.rcParams["font.size"] = "14"
+mpl.rcParams['xtick.bottom'] = True
+mpl.rcParams['xtick.major.size'] = 3
+mpl.rcParams['xtick.minor.size'] = 1.5
+mpl.rcParams['xtick.major.width'] = 0.75
+mpl.rcParams['ytick.left'] = True
+mpl.rcParams['ytick.major.size'] = 3
+mpl.rcParams['ytick.minor.size'] = 1.5
+mpl.rcParams['ytick.major.width'] = 0.75
+
+#Adjust grid:
+mpl.rcParams.update({"axes.grid" : True}) # Add grid
+mpl.rcParams['axes.labelpad'] = 3
+mpl.rcParams['grid.linewidth'] = 0.25
+mpl.rcParams['grid.alpha'] = 0.9 # 0.75
+mpl.rcParams['grid.linestyle'] = '-'
+mpl.rcParams['grid.color']   = 'gray'#'black'
+mpl.rcParams['text.latex.preamble'] = r'\usepackage{amsfonts}' # Makes Use of \mathbb possible.
+# ----------------------------------------------------------------------------------------
+width = 5.79
+height = width / 1.618 # The golden ratio.
+
+# fig = plt.figure()      #main
+fig, ax = plt.subplots(figsize=(width,height))
+
+
+
+
+
+input = [14.72680026, 13.64338887, 12.41305478, 11.66482931, 11.09781471, 9.435795985, 8.959564147]  #moisture-content (in %)
+
+
+kappa_sim = [1.20401338 , 1.72575251, 2.28762542 , 2.64882943 , 2.92976589 , 3.73244147 , 3.93311037 ]    #kappa from Simulation
+kappa_exp = [1.058078122,1.544624544, 2.317033799, 2.686043143, 2.967694189, 3.913528418, 4.262750825]    #kappa from Experiment
+
+# compute difference:
+relative_error = (np.array(kappa_sim) - np.array(kappa_exp)) / np.array(kappa_exp)
+print('relative_error:', relative_error)
+
+
+# --------------- Plot Lines + Scatter -----------------------
+line_1 = ax.plot(input, kappa_sim,                    # data
+            #  color='forestgreen',              # linecolor
+             marker='D',                         # each marker will be rendered as a circle
+             markersize=5,                       # marker size
+            #   markerfacecolor='darkorange',      # marker facecolor
+             markeredgecolor='black',            # marker edgecolor
+             markeredgewidth=0.75,                  # marker edge width
+             # linestyle='dashdot',              # line style will be dash line
+             linewidth=1.5,                      # line width
+             zorder=3,
+             label = r"$\kappa_{sim}$")
+
+line_2 = ax.plot(input, kappa_exp,                     # data
+             # color='orangered',                # linecolor
+             marker='o',                         # each marker will be rendered as a circle
+             markersize=5,                       # marker size
+            #  markerfacecolor='cornflowerblue',   # marker facecolor
+             markeredgecolor='black',            # marker edgecolor
+             markeredgewidth=0.75,                  # marker edge width
+             # linestyle='--',                   # line style will be dash line
+             linewidth=1.5,                      # line width
+             zorder=3,
+             alpha=0.8,                           # Change opacity
+             label = r"$\kappa_{exp}$")
+
+# --- Plot order line
+# x = np.linspace(0.01,1/2,100)
+# y = CC_L2[0]*x**2
+# OrderLine = ax.plot(x,y,linestyle='--', label=r"$\mathcal{O}(h)$")
+
+
+
+# Fix_value = 7.674124
+# l3 = plt.axhline(y = Fix_value, color = 'black', linewidth=0.75, linestyle = 'dashed')
+# --------------- Set Axes  -----------------------
+ax.set_title(r"ratio $r = 0.22$")   # Plot - Title
+# plt.xscale('log') # Use Logarithmic-Scale
+# plt.yscale('log')
+ax.set_xlabel(r"Wood moisture content $\omega (\%)$", labelpad=4)
+ax.set_ylabel(r"Curvature $\kappa$", labelpad=4)
+plt.tight_layout()
+
+# # --- Set Line labels
+# line_labels = [r"$CC_{L_2}$",r"$CC_{H_1}$", r"$\mathcal{O}(h)$"]
+
+# --- Set Legend
+legend = ax.legend()
+# legend = fig.legend([line_1 , line_2, OrderLine],
+#                     labels = line_labels,
+#                     bbox_to_anchor=[0.97, 0.50],
+#                     # bbox_to_anchor=[0.97, 0.53],
+#                     # loc='center',
+#                     ncol=1,                  # Number of columns used for legend
+#                     # borderaxespad=0.15,    # Small spacing around legend box
+#                     frameon=True,
+#                     prop={'size': 10})
+
+
+frame = legend.get_frame()
+frame.set_edgecolor('black')
+
+
+# --- Adjust left/right spacing:
+# plt.subplots_adjust(right=0.81)
+# plt.subplots_adjust(left=0.11)
+
+# ---------- Output Figure as pdf:
+fig.set_size_inches(width, height)
+fig.savefig('WoodBilayer_expComparison.pdf')
+# plt.show()
\ No newline at end of file
diff --git a/Plot-Scripts/WoodBilayer_expComparison_r049.py b/Plot-Scripts/WoodBilayer_expComparison_r049.py
new file mode 100644
index 0000000000000000000000000000000000000000..f09281bfe4018346f1f5f7cf94466297dfa5bf87
--- /dev/null
+++ b/Plot-Scripts/WoodBilayer_expComparison_r049.py
@@ -0,0 +1,134 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import math
+import os
+import subprocess
+import fileinput
+import re
+import sys
+import matplotlib as mpl
+from mpl_toolkits.mplot3d import Axes3D
+import matplotlib.cm as cm
+import matplotlib.ticker as ticker
+from matplotlib.ticker import MultipleLocator,FormatStrFormatter,MaxNLocator
+import seaborn as sns
+import matplotlib.colors as mcolors
+# ----------------------------------------------------
+# --- Define Plot style:
+# plt.style.use("seaborn-white")
+# plt.style.use("seaborn-pastel")
+# plt.style.use("seaborn-colorblind")
+plt.style.use("seaborn")
+mpl.rcParams['text.usetex'] = True
+mpl.rcParams["font.family"] = "serif"
+mpl.rcParams["font.size"] = "14"
+mpl.rcParams['xtick.bottom'] = True
+mpl.rcParams['xtick.major.size'] = 3
+mpl.rcParams['xtick.minor.size'] = 1.5
+mpl.rcParams['xtick.major.width'] = 0.75
+mpl.rcParams['ytick.left'] = True
+mpl.rcParams['ytick.major.size'] = 3
+mpl.rcParams['ytick.minor.size'] = 1.5
+mpl.rcParams['ytick.major.width'] = 0.75
+
+#Adjust grid:
+mpl.rcParams.update({"axes.grid" : True}) # Add grid
+mpl.rcParams['axes.labelpad'] = 3
+mpl.rcParams['grid.linewidth'] = 0.25
+mpl.rcParams['grid.alpha'] = 0.9 # 0.75
+mpl.rcParams['grid.linestyle'] = '-'
+mpl.rcParams['grid.color']   = 'gray'#'black'
+mpl.rcParams['text.latex.preamble'] = r'\usepackage{amsfonts}' # Makes Use of \mathbb possible.
+# ----------------------------------------------------------------------------------------
+width = 5.79
+height = width / 1.618 # The golden ratio.
+
+# fig = plt.figure()      #main
+fig, ax = plt.subplots(figsize=(width,height))
+
+
+
+
+
+input = [14.72680026, 13.64338887, 12.41305478, 11.66482931, 11.09781471, 9.435795985, 8.959564147]  #moisture-content (in %)
+
+
+kappa_sim = [1.20401338 , 1.72575251, 2.28762542 , 2.64882943 , 2.92976589 , 3.73244147 , 3.93311037 ]    #kappa from Simulation
+kappa_exp = [1.058078122,1.544624544, 2.317033799, 2.686043143, 2.967694189, 3.913528418, 4.262750825]    #kappa from Experiment
+
+# compute difference:
+relative_error = (np.array(kappa_sim) - np.array(kappa_exp)) / np.array(kappa_exp)
+print('relative_error:', relative_error)
+
+
+# --------------- Plot Lines + Scatter -----------------------
+line_1 = ax.plot(input, kappa_sim,                    # data
+            #  color='forestgreen',              # linecolor
+             marker='D',                         # each marker will be rendered as a circle
+             markersize=5,                       # marker size
+            #   markerfacecolor='darkorange',      # marker facecolor
+             markeredgecolor='black',            # marker edgecolor
+             markeredgewidth=0.75,                  # marker edge width
+             # linestyle='dashdot',              # line style will be dash line
+             linewidth=1.5,                      # line width
+             zorder=3,
+             label = r"$\kappa_{sim}$")
+
+line_2 = ax.plot(input, kappa_exp,                     # data
+             # color='orangered',                # linecolor
+             marker='o',                         # each marker will be rendered as a circle
+             markersize=5,                       # marker size
+            #  markerfacecolor='cornflowerblue',   # marker facecolor
+             markeredgecolor='black',            # marker edgecolor
+             markeredgewidth=0.75,                  # marker edge width
+             # linestyle='--',                   # line style will be dash line
+             linewidth=1.5,                      # line width
+             zorder=3,
+             alpha=0.8,                           # Change opacity
+             label = r"$\kappa_{exp}$")
+
+# --- Plot order line
+# x = np.linspace(0.01,1/2,100)
+# y = CC_L2[0]*x**2
+# OrderLine = ax.plot(x,y,linestyle='--', label=r"$\mathcal{O}(h)$")
+
+
+
+# Fix_value = 7.674124
+# l3 = plt.axhline(y = Fix_value, color = 'black', linewidth=0.75, linestyle = 'dashed')
+# --------------- Set Axes  -----------------------
+ax.set_title(r"ratio $r = 0.22$")   # Plot - Title
+# plt.xscale('log') # Use Logarithmic-Scale
+# plt.yscale('log')
+ax.set_xlabel(r"Wood moisture content $\omega (\%)$", labelpad=4)
+ax.set_ylabel(r"Curvature $\kappa$", labelpad=4)
+plt.tight_layout()
+
+# # --- Set Line labels
+# line_labels = [r"$CC_{L_2}$",r"$CC_{H_1}$", r"$\mathcal{O}(h)$"]
+
+# --- Set Legend
+legend = ax.legend()
+# legend = fig.legend([line_1 , line_2, OrderLine],
+#                     labels = line_labels,
+#                     bbox_to_anchor=[0.97, 0.50],
+#                     # bbox_to_anchor=[0.97, 0.53],
+#                     # loc='center',
+#                     ncol=1,                  # Number of columns used for legend
+#                     # borderaxespad=0.15,    # Small spacing around legend box
+#                     frameon=True,
+#                     prop={'size': 10})
+
+
+frame = legend.get_frame()
+frame.set_edgecolor('black')
+
+
+# --- Adjust left/right spacing:
+# plt.subplots_adjust(right=0.81)
+# plt.subplots_adjust(left=0.11)
+
+# ---------- Output Figure as pdf:
+fig.set_size_inches(width, height)
+fig.savefig('WoodBilayer_expComparison.pdf')
+# plt.show()
\ No newline at end of file
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