def plot_ssp_legend(ax):
"""
Draws the labels for the SN Ia DTD
Parameters
==========
ax :: subplot
The matplotlib axis object to put the legend on
"""
lines = 2 * [None]
labels = [
r"$R_\text{Ia}\propto t^{-1.1}$",
r"$R_\text{Ia}\propto e^{-t/\tau_\text{Ia}}$"
]
for i in range(2):
lines[i] = ax.plot([1, 2], [1, 2],
c=visuals.colors()["black"],
label=labels[i],
linestyle=[':', '--'][i])[0]
leg = ax.legend(loc=visuals.mpl_loc()["upper left"],
ncol=1,
bbox_to_anchor=(0.01, 0.99),
frameon=False)
for i in range(2):
lines[i].remove()
def plot_vs_metallicity_legend(ax):
"""
Plots the legend on the late-time panel denoting the form of the adopted
CCSN yield of Sr
Parameters
==========
ax :: subplot
The matplotlib axis object to put the legend on
"""
lines = 4 * [None]
labels = [
r"$y_\text{Sr}^\text{CC} = 0$", r"Constant $y_\text{Sr}^\text{CC}$",
r"$y_\text{Sr}^\text{CC} \propto Z$",
r"$y_\text{Sr}^\text{CC} \propto 1 - e^{-kZ}$"
]
colors = ["black", "crimson", "lime", "deepskyblue"]
for i in range(len(lines)):
lines[i] = ax.plot([1, 2], [1, 2],
c=visuals.colors()["white"],
label=labels[i])[0]
leg = ax.legend(loc=visuals.mpl_loc()["upper left"],
ncol=1,
bbox_to_anchor=(0.02, 0.98),
frameon=False,
handlelength=0)
for i in range(len(lines)):
lines[i].remove()
leg.get_texts()[i].set_color(colors[i])
def legend(ax):
"""
Draws the legend differentiating between the yield models
Parameters
==========
ax :: subplot
The matplotlib axis object to put the yield on
"""
lines = 3 * [None]
colors = ["black", "deepskyblue", "crimson"]
labels = [
r"Constant $y_\text{Sr}^\text{CC}$",
r"$y_\text{Sr}^\text{CC} \propto 1-e^{-kZ}$",
r"$y_\text{Sr}^\text{CC} \propto Z$"
]
for i in range(3):
lines[i] = ax.plot([1, 2], [1, 2],
c=visuals.colors()["white"],
label=labels[i])[0]
leg = ax.legend(loc=visuals.mpl_loc()["lower right"],
ncol=1,
bbox_to_anchor=(0.98, 0.02),
frameon=False,
handlelength=0)
for i in range(3):
lines[i].remove()
leg.get_texts()[i].set_color(colors[i])
def plot_legend(ax):
"""
Draws the legend denoting the yield assumptions
Parameters
==========
ax :: subplot
The matplotlib axis object to put the legend on
"""
lines = 4 * [None]
colors = ["black", "deepskyblue", "lime", "crimson"]
labels = [
r"Constant $y_\text{Sr}^\text{CC}$",
r"$y_\text{Sr}^\text{CC} \propto 1 - e^{-kZ}$",
r"$y_\text{Sr}^\text{CC} \propto Z$", r"$y_\text{Sr}^\text{CC}$ = 0"
]
for i in range(4):
lines[i] = ax.plot([1, 2], [1, 2],
c=visuals.colors()["white"],
label=labels[i])[0]
leg = ax.legend(loc=visuals.mpl_loc()["upper left"],
ncol=1,
bbox_to_anchor=(0.0, 0.99),
frameon=False,
handlelength=0)
for i in range(4):
lines[i].remove()
leg.get_texts()[i].set_color(colors[i])
def plot_legend(ax):
"""
Draws the legend on the axis
Parameters
==========
ax :: subplot
The matplotlib axis object to put the legend on
"""
# First label the studies ...
lines = len(_STUDIES_) * [None]
for i in range(len(lines)):
lines[i] = ax.plot([-1, -2], [1.e-8, 1.e-6],
c=visuals.colors()["white"],
label=_NAMES_[_STUDIES_[i]])[0]
leg = ax.legend(loc=visuals.mpl_loc()["lower right"],
ncol=1,
bbox_to_anchor=(0.99, 0.01),
frameon=False,
handlelength=0,
fontsize=18)
for i in range(len(lines)):
lines[i].remove()
leg.get_texts()[i].set_color(_COLORS_[_STUDIES_[i]])
ax.add_artist(leg)
# ... then label the rotational velocities
points = 3 * [None]
for i in range(len(points)):
points[i] = ax.scatter(
[-1, -2], [1.e-8, 1.e-6],
c=visuals.colors()["black"],
s=50,
marker=visuals.markers()[_MARKERS_[[0, 150, 300][i]]],
label=r"$v_\text{rot}$ = %g km s$^{-1}$" % ([0, 150, 300][i]))
ax.legend(loc=visuals.mpl_loc()["upper left"],
ncol=1,
bbox_to_anchor=(0.01, 0.99),
frameon=False,
fontsize=18,
handlelength=1)
for i in range(len(points)):
points[i].remove()
def plot_legend(ax):
lines = 3 * [None]
linestyles = ['-', ':', '--']
colors = ["red", "black", "black"]
labels = ["Sr", r"Fe; $R_\text{Ia}\propto t^{-1.1}$",
r"Fe; $R_\text{Ia}\propto e^{-t/\tau_\text{Ia}}$"]
for i in range(3):
lines[i] = ax.plot([1, 2], [1, 2], c = visuals.colors()[colors[i]],
linestyle = linestyles[i], label = labels[i])[0]
leg = ax.legend(loc = visuals.mpl_loc()["lower left"], ncol = 1,
bbox_to_anchor = (0.01, 0.01), frameon = False)
for i in range(3):
lines[i].remove()
def draw_ofe_legend(ax): """ Draws the legend differentiating between oxygen and iron in the plot of [X/H] against time. Parameters ========== ax :: subplot The matplotlib axis object to put the legend on """ lines = 2 * [None] for i in range(2): lines[i] = ax.plot([1, 2], [1, 2], c = visuals.colors()["black"], label = ["O", "Fe"][i], linestyle = ['--', '-'][i])[0] ax.legend(loc = visuals.mpl_loc()["upper left"], frameon = False, bbox_to_anchor = (0.01, 0.99)) for i in range(2): lines[i].remove()
def plot_AGB_legend(ax, z): """ Draws the legend for the AGB yields on the subplot Parameters ========== ax :: subplot The matplotlib axis object to plot on z :: list The metallicities """ lines = len(z) * [None] for i in range(len(z)): lines[i] = ax.plot([1, 2], [1, 2], c = visuals.colors()["white"], label = "Z = %g" % (z[i]))[0] leg = ax.legend(loc = visuals.mpl_loc()["upper right"], ncol = 1, bbox_to_anchor = (0.99, 0.99), frameon = False, handlelength = 0) for i in range(len(z)): lines[i].remove() leg.get_texts()[i].set_color(_COLORS_[i])
def main():
"""
Produces the figure and saves it as a PDF.
"""
plt.clf()
ax = setup_axis()
data = read_data()
for i in _NAMES_.keys():
plot_data(ax, data, i)
plot_vice_comparison(ax, "../../simulations/kirby2010_smooth_enh1")
plot_vice_comparison(ax, "../../simulations/kirby2010_smooth")
plot_vice_comparison(ax, "../../simulations/kirby2010_burst")
plot_representative_errorbar(ax, data, "UMi")
ax.legend(loc=visuals.mpl_loc()["upper left"],
ncol=1,
frameon=False,
bbox_to_anchor=(1.02, 0.98),
fontsize=18)
plt.tight_layout()
plt.savefig(sys.argv[1])
plt.clf()
