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359 | def plot_confinement_time_comparison(
axis: plt.Axes, mfile: MFile, scan: int, u_seed=None
):
"""Function to plot a scatter box plot of confinement time comparisons.
Parameters
----------
axis :
Axis object to plot to.
mfile :
MFILE data object.
scan :
Scan number to use.
u_seed :
(Default value = None)
"""
rminor = mfile.get("rminor", scan=scan)
rmajor = mfile.get("rmajor", scan=scan)
cur_plasma_ma = mfile.get("plasma_current_ma", scan=scan)
kappa95 = mfile.get("kappa95", scan=scan)
nd_plasma_electron_line_20 = mfile.get("nd_plasma_electron_line", scan=scan) / 1e20
afuel = mfile.get("m_fuel_amu", scan=scan)
b_plasma_toroidal_on_axis = mfile.get("b_plasma_toroidal_on_axis", scan=scan)
p_plasma_separatrix_mw = mfile.get("p_plasma_separatrix_mw", scan=scan)
kappa = mfile.get("kappa", scan=scan)
aspect = mfile.get("aspect", scan=scan)
nd_plasma_electron_line_19 = mfile.get("nd_plasma_electron_line", scan=scan) / 1e19
kappa_ipb = mfile.get("kappa_ipb", scan=scan)
triang = mfile.get("triang", scan=scan)
m_ions_total_amu = mfile.get("m_ions_total_amu", scan=scan)
confine = PlasmaConfinementTime()
# Calculate confinement times using the scan data
iter_89p = confine.iter_89p_confinement_time(
cur_plasma_ma=cur_plasma_ma,
rmajor=rmajor,
rminor=rminor,
kappa=kappa,
nd_plasma_electron_line_20=nd_plasma_electron_line_20,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
afuel=afuel,
p_plasma_loss_mw=p_plasma_separatrix_mw,
)
iter_89_0 = confine.iter_89_0_confinement_time(
cur_plasma_ma=cur_plasma_ma,
rmajor=rmajor,
rminor=rminor,
kappa=kappa,
nd_plasma_electron_line_20=nd_plasma_electron_line_20,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
afuel=afuel,
p_plasma_loss_mw=p_plasma_separatrix_mw,
)
iter_h90_p = confine.iter_h90_p_confinement_time(
cur_plasma_ma=cur_plasma_ma,
rmajor=rmajor,
rminor=rminor,
kappa=kappa,
nd_plasma_electron_line_20=nd_plasma_electron_line_20,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
afuel=afuel,
p_plasma_loss_mw=p_plasma_separatrix_mw,
)
iter_h90_p_amended = confine.iter_h90_p_amended_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
afuel=afuel,
rmajor=rmajor,
p_plasma_loss_mw=p_plasma_separatrix_mw,
kappa=kappa,
)
iter_93h = confine.iter_93h_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
p_plasma_loss_mw=p_plasma_separatrix_mw,
afuel=afuel,
rmajor=rmajor,
nd_plasma_electron_line_20=nd_plasma_electron_line_20,
aspect=aspect,
kappa=kappa,
)
iter_h97p = confine.iter_h97p_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
p_plasma_loss_mw=p_plasma_separatrix_mw,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
rmajor=rmajor,
aspect=aspect,
kappa=kappa,
afuel=afuel,
)
iter_h97p_elmy = confine.iter_h97p_elmy_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
p_plasma_loss_mw=p_plasma_separatrix_mw,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
rmajor=rmajor,
aspect=aspect,
kappa=kappa,
afuel=afuel,
)
iter_96p = confine.iter_96p_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
kappa95=kappa95,
rmajor=rmajor,
aspect=aspect,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
afuel=afuel,
p_plasma_loss_mw=p_plasma_separatrix_mw,
)
iter_pb98py = confine.iter_pb98py_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa=kappa,
aspect=aspect,
afuel=afuel,
)
iter_ipb98y = confine.iter_ipb98y_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa=kappa,
aspect=aspect,
afuel=afuel,
)
iter_ipb98y1 = confine.iter_ipb98y1_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa_ipb=kappa_ipb,
aspect=aspect,
afuel=afuel,
)
iter_ipb98y2 = confine.iter_ipb98y2_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa_ipb=kappa_ipb,
aspect=aspect,
afuel=afuel,
)
iter_ipb98y3 = confine.iter_ipb98y3_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa_ipb=kappa_ipb,
aspect=aspect,
afuel=afuel,
)
iter_ipb98y4 = confine.iter_ipb98y4_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa_ipb=kappa_ipb,
aspect=aspect,
afuel=afuel,
)
petty08 = confine.petty08_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa_ipb=kappa_ipb,
aspect=aspect,
)
menard_nstx = confine.menard_nstx_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa_ipb=kappa_ipb,
aspect=aspect,
afuel=afuel,
)
menard_nstx_petty08 = confine.menard_nstx_petty08_hybrid_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
kappa_ipb=kappa_ipb,
aspect=aspect,
afuel=afuel,
)
itpa20 = confine.itpa20_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
p_plasma_loss_mw=p_plasma_separatrix_mw,
rmajor=rmajor,
triang=triang,
kappa_ipb=kappa_ipb,
eps=(1 / aspect),
aion=m_ions_total_amu,
)
itpa20_ilc = confine.itpa20_il_confinement_time(
cur_plasma_ma=cur_plasma_ma,
b_plasma_toroidal_on_axis=b_plasma_toroidal_on_axis,
p_plasma_loss_mw=p_plasma_separatrix_mw,
nd_plasma_electron_line_19=nd_plasma_electron_line_19,
aion=m_ions_total_amu,
rmajor=rmajor,
triang=triang,
kappa_ipb=kappa_ipb,
)
# Data for the box plot
data = {
rf"{ConfinementTimeModel.ITER_89P.full_name}": iter_89p,
rf"{ConfinementTimeModel.ITER_89_0.full_name}": iter_89_0,
rf"{ConfinementTimeModel.ITER_H90_P.full_name}": iter_h90_p,
rf"{ConfinementTimeModel.ITER_H90_P_AMENDED.full_name}": (iter_h90_p_amended),
rf"{ConfinementTimeModel.ITER_93H.full_name}": iter_93h,
rf"{ConfinementTimeModel.ITER_H97P.full_name}": iter_h97p,
rf"{ConfinementTimeModel.ITER_H97P_ELMY.full_name}": iter_h97p_elmy,
rf"{ConfinementTimeModel.ITER_96P.full_name}": iter_96p,
rf"{ConfinementTimeModel.ITER_PB98P_Y.full_name}": iter_pb98py,
rf"{ConfinementTimeModel.IPB98_Y.full_name}": iter_ipb98y,
rf"{ConfinementTimeModel.ITER_IPB98Y1.full_name}": iter_ipb98y1,
rf"{ConfinementTimeModel.ITER_IPB98Y2.full_name}": iter_ipb98y2,
rf"{ConfinementTimeModel.ITER_IPB98Y3.full_name}": iter_ipb98y3,
rf"{ConfinementTimeModel.ITER_IPB98Y4.full_name}": iter_ipb98y4,
rf"{ConfinementTimeModel.PETTY08.full_name}": petty08,
rf"{ConfinementTimeModel.MENARD_NSTX.full_name}": menard_nstx,
rf"{ConfinementTimeModel.MENARD_NSTX_PETTY08_HYBRID.full_name}": (
menard_nstx_petty08
),
rf"{ConfinementTimeModel.ITPA20.full_name}": itpa20,
rf"{ConfinementTimeModel.ITPA20_IL.full_name}": itpa20_ilc,
}
data_values = list(data.values())
# Create the violin plot
axis.violinplot(data_values, showextrema=False)
# Create the box plot
axis.boxplot(data_values, showfliers=True, showmeans=True, meanline=True, widths=0.3)
# Scatter plot for each data point
# Use a set of distinct colors for better differentiation
distinct_colors = [
"#1f77b4", # blue
"#ff7f0e", # orange
"#2ca02c", # green
"#d62728", # red
"#9467bd", # purple
"#8c564b", # brown
"#e377c2", # pink
"#7f7f7f", # gray
"#bcbd22", # olive
"#17becf", # cyan
"#aec7e8", # light blue
"#ffbb78", # light orange
"#98df8a", # light green
"#ff9896", # light red
"#c5b0d5", # light purple
"#c49c94", # light brown
"#f7b6d2", # light pink
"#c7c7c7", # light gray
"#dbdb8d", # light olive
"#9edae5", # light cyan
]
generator = np.random.default_rng(seed=u_seed)
x_values = generator.normal(loc=1, scale=0.035, size=len(data.values()))
for index, (key, value) in enumerate(data.items()):
if "Hubbard" in key and "2017" not in key:
color = "#800080" # strong purple
else:
color = distinct_colors[index % len(distinct_colors)]
axis.scatter(
x_values[index],
value,
color=color,
label=key,
alpha=1.0,
edgecolor="black",
linewidth=0.7,
)
axis.legend(loc="upper left", bbox_to_anchor=(-1.3, 0.75), ncol=2)
# Calculate average, standard deviation, and median
avg_threshold = np.mean(data_values)
std_threshold = np.std(data_values)
median_threshold = np.median(data_values)
# Plot average, standard deviation, and median as text
axis.text(
0.7,
1.25,
f"Average: {avg_threshold:.4f} s",
transform=axis.transAxes,
fontsize=9,
)
axis.text(
0.7,
1.2,
f"Standard Dev: {std_threshold:.4f} s",
transform=axis.transAxes,
fontsize=9,
)
axis.text(
0.7,
1.15,
f"Median: {median_threshold:.4f} s",
transform=axis.transAxes,
fontsize=9,
)
axis.text(
0.75,
-0.05,
r"$H \ factor = 1.0$",
transform=axis.transAxes,
fontsize=9,
)
axis.set_title("Confinement time ($\\tau_{\\text{E}}$) Comparison")
axis.set_ylabel("Confinement time, $\\tau_{\\text{E}}$ [s]")
axis.set_xlim(0.5, 1.5)
axis.set_xticks([])
axis.set_xticklabels([])
# Add background color
axis.set_facecolor("#f0f0f0")
|