Giese bubble

Plot a single bubble using parameters from the code of Giese et al., 2021

import logging

import numpy as np

from examples.utils import save
from pttools import analysis
from pttools.bubble import Bubble
from pttools.models import ConstCSModel

logger = logging.getLogger(__name__)

model = ConstCSModel(css2=1/4, csb2=1/4, a_s=5, a_b=1, V_s=1)
alpha_ns = np.array([0.01, 0.03, 0.1, 0.3, 1, 3])
theta_bar = False
colors = ["b", "y", "r", "g", "purple", "grey"]
v_wall = 0.7

fig, ax_v, ax_w = analysis.setup_bubble_plot_multifig()

for alpha_n, color in zip(alpha_ns, colors):
    try:
        bubble = Bubble(model=model, v_wall=v_wall, alpha_n=alpha_n, theta_bar=theta_bar, allow_invalid=False)
        label = rf"$\alpha_{{\bar{{\theta}}_n}} = {alpha_n}$" if theta_bar else rf"$\alpha_n = {alpha_n}$"
        bubble.plot_v(fig=fig, ax=ax_v, alpha=0.5, label=label)
        bubble.plot_w(fig=fig, ax=ax_w, alpha=0.5, label=label)
    except (RuntimeError, ValueError) as e:
        logger.exception("ERROR:", exc_info=e)

fig.tight_layout()
save(fig, "giese_bubble")

Estimated memory usage: 264 MB