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Exec/radiation_tests/Rad2Tshock/ci-benchmarks/Rad2TShock-1d.out
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PRECISION = DOUBLE | ||
PROFILE = FALSE | ||
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DEBUG = FALSE | ||
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DIM = 2 | ||
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COMP = gnu | ||
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USE_MPI = TRUE | ||
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USE_GRAV = TRUE | ||
USE_REACT = FALSE | ||
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USE_ROTATION = FALSE | ||
USE_DIFFUSION = FALSE | ||
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# define the location of the CASTRO top directory | ||
CASTRO_HOME ?= ../../.. | ||
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USE_JACOBIAN_CACHING = TRUE | ||
USE_MODEL_PARSER = TRUE | ||
NUM_MODELS := 2 | ||
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# This sets the EOS directory in $(MICROPHYSICS_HOME)/eos | ||
EOS_DIR := helmholtz | ||
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# This sets the network directory in $(MICROPHYSICS_HOME)/networks | ||
NETWORK_DIR := subch_base | ||
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INTEGRATOR_DIR := VODE | ||
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CONDUCTIVITY_DIR := stellar | ||
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PROBLEM_DIR ?= ./ | ||
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Bpack := $(PROBLEM_DIR)/Make.package | ||
Blocs := $(PROBLEM_DIR) | ||
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include $(CASTRO_HOME)/Exec/Make.Castro |
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CEXE_headers += initial_model.H | ||
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# xrb_spherical | ||
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This is the full-star XRB flame setup based on flame_wave. | ||
This setup uses a spherical 2D geometry to model XRB flame | ||
on a spherical shell with initial temperature perturbation | ||
on the north pole. |
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dtemp real 3.81e8_rt y | ||
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theta_half_max real 1.745e-2_rt y | ||
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theta_half_width real 4.9e-3_rt y | ||
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# cutoff mass fraction of the first species for refinement | ||
X_min real 1.e-4_rt y | ||
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# do we dynamically refine based on density? or based on height? | ||
tag_by_density integer 1 y | ||
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# used for tagging if tag_by_density = 1 | ||
cutoff_density real 500.e0_rt y | ||
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# used if we are refining based on height rather than density | ||
refine_height real 3600 y | ||
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T_hi real 5.e8_rt y | ||
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T_star real 1.e8_rt y | ||
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T_lo real 5.e7_rt y | ||
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dens_base real 2.e6_rt y | ||
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H_star real 500.e0_rt y | ||
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atm_delta real 25.e0_rt y | ||
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fuel1_name string "helium-4" y | ||
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fuel2_name string "" y | ||
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fuel3_name string "" y | ||
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fuel4_name string "" y | ||
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ash1_name string "iron-56" y | ||
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ash2_name string "" y | ||
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ash3_name string "" y | ||
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fuel1_frac real 1.0_rt y | ||
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fuel2_frac real 0.0_rt y | ||
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fuel3_frac real 0.0_rt y | ||
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fuel4_frac real 0.0_rt y | ||
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ash1_frac real 1.0_rt y | ||
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ash2_frac real 0.0_rt y | ||
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ash3_frac real 0.0_rt y | ||
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low_density_cutoff real 1.e-4_rt y | ||
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smallx real 1.e-10_rt y | ||
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r_refine_distance real 1.e30_rt y | ||
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max_hse_tagging_level integer 2 y | ||
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max_base_tagging_level integer 1 y |
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#!/usr/bin/env python3 | ||
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# Spherical R profile at different theta | ||
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import os | ||
import sys | ||
import yt | ||
import matplotlib.pyplot as plt | ||
import numpy as np | ||
from functools import reduce | ||
import itertools | ||
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import matplotlib.ticker as ptick | ||
from yt.frontends.boxlib.api import CastroDataset | ||
from yt.units import cm | ||
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plotfile = sys.argv[1] | ||
ds = CastroDataset(plotfile) | ||
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rmin = ds.domain_left_edge[0] | ||
rmax = rmin + 5000.0*cm | ||
#rmax = ds.domain_right_edge[0] | ||
print(ds.domain_left_edge[1]) | ||
fig, _ax = plt.subplots(2,2) | ||
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axes = list(itertools.chain(*_ax)) | ||
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fig.set_size_inches(7.0, 8.0) | ||
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fields = ["Temp", "density", "x_velocity", "y_velocity"] | ||
nice_names = [r"$T$ (K)", r"$\rho$ (g/${cm}^3$)", r"$u$ (cm/s)", r"$v$ (cm/s)"] | ||
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# 4 rays at different theta values | ||
thetal = ds.domain_left_edge[1] | ||
thetar = ds.domain_right_edge[1] | ||
thetas = [thetal, 0.25*thetar, 0.5*thetar, 0.75*thetar] | ||
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for i, f in enumerate(fields): | ||
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for theta in thetas: | ||
# simply go from (rmin, theta) -> (rmax, theta). Doesn't need to convert to physical R-Z | ||
ray = ds.ray((rmin, theta, 0*cm), (rmax, theta, 0*cm)) | ||
isrt = np.argsort(ray["t"]) | ||
axes[i].plot(ray['r'][isrt], ray[f][isrt], label=r"$\theta$ = {:.4f}".format(float(theta))) | ||
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axes[i].set_xlabel(r"$r$ (cm)") | ||
axes[i].set_ylabel(nice_names[i]) | ||
axes[i].set_yscale("symlog") | ||
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if i == 0: | ||
axes[0].legend(frameon=False, loc="lower left") | ||
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#fig.set_size_inches(10.0, 9.0) | ||
plt.tight_layout() | ||
plt.savefig("{}_profiles.png".format(os.path.basename(plotfile))) |
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#!/usr/bin/env python3 | ||
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import sys | ||
import os | ||
import yt | ||
import numpy as np | ||
import matplotlib.pyplot as plt | ||
from yt.frontends.boxlib.api import CastroDataset | ||
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from yt.units import cm | ||
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""" | ||
Given a plot file and field name, it gives slice plots at the top, | ||
middle, and bottom of the domain (shell). | ||
""" | ||
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def slice(fname:str, field:str, | ||
loc: str = "top", width_factor: float = 3.0) -> None: | ||
""" | ||
A slice plot of the dataset for Spherical2D geometry. | ||
Parameter | ||
======================= | ||
fname: plot file name | ||
field: field parameter | ||
loc: location on the domain. {top, mid, bot} | ||
""" | ||
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ds = CastroDataset(fname) | ||
currentTime = ds.current_time.in_units("s") | ||
print(f"Current time of this plot file is {currentTime} s") | ||
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# Some geometry properties | ||
rr = ds.domain_right_edge[0].in_units("km") | ||
rl = ds.domain_left_edge[0].in_units("km") | ||
dr = rr - rl | ||
r_center = 0.5 * (rr + rl) | ||
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thetar = ds.domain_right_edge[1] | ||
thetal = ds.domain_left_edge[1] | ||
dtheta = thetar - thetal | ||
theta_center = 0.5 * (thetar + thetal) | ||
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# Domain width of the slice plot | ||
width = width_factor * dr | ||
box_widths = (width, width) | ||
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loc = loc.lower() | ||
loc_options = ["top", "mid", "bot"] | ||
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if loc not in loc_options: | ||
raise Exception("loc parameter must be top, mid or bot") | ||
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# Centers for the Top, Mid and Bot panels | ||
centers = {"top":(r_center*np.sin(thetal)+0.5*width, r_center*np.cos(thetal)), | ||
"mid":(r_center*np.sin(theta_center), r_center*np.cos(theta_center)), | ||
"bot":(r_center*np.sin(thetar)+0.5*width, r_center*np.cos(thetar))} | ||
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# Note we can also set center during SlicePlot, however then we would enter in [r_center, theta_center, 0] | ||
# rather than the physical R-Z coordinate if we do it via sp.set_center | ||
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sp = yt.SlicePlot(ds, 'phi', field, width=box_widths) | ||
sp.set_center(centers[loc]) | ||
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sp.set_cmap(field, "viridis") | ||
if field in ["x_velocity", "y_velocity", "z_velocity"]: | ||
sp.set_cmap(field, "coolwarm") | ||
elif field == "Temp": | ||
sp.set_zlim(f, 5.e7, 2.5e9) | ||
sp.set_cmap(f, "magma_r") | ||
elif field == "enuc": | ||
sp.set_zlim(f, 1.e18, 1.e20) | ||
elif field == "density": | ||
sp.set_zlim(f, 1.e-3, 5.e8) | ||
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# sp.annotate_text((0.05, 0.05), f"{currentTime.in_cgs():8.5f} s") | ||
sp.save(f"{ds}_{loc}") | ||
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if __name__ == "__main__": | ||
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if len(sys.argv) < 3: | ||
raise Exception("Please enter parameters in order of: fname field_name width_factor[optional] loc[optional]") | ||
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fname = sys.argv[1] | ||
field = sys.argv[2] | ||
loc = "top" | ||
width_factor = 3.0 | ||
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if len(sys.argv) == 4: | ||
width_factor = float(sys.argv[3]) | ||
elif len(sys.argv) > 4: | ||
loc = sys.argv[4] | ||
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slice(fname, field, loc=loc, width_factor=width_factor) |
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../flame_wave/initial_model.H |
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