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Added comparaison and evolution mode

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This commit is contained in:
Noe Brucy
2019-05-09 16:55:13 +02:00
parent 02d987ee97
commit 7b3793cff6
2 changed files with 293 additions and 83 deletions
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disk_postprocess.py
+248 -63
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@@ -549,6 +549,9 @@ def disk_prop(
alpha_grav_rad = np.zeros(nb_bin - 1)
Q_kepl_rad = np.zeros(nb_bin - 1)
height_rad = np.zeros(nb_bin - 1)
vol_rad = np.zeros(nb_bin - 1) # Volume of a bin
surf_rad = np.zeros(nb_bin - 1) # Surface of a bin
mass_rad = np.zeros(nb_bin - 1) # Mass of a bin
# Density fluctuations
hist_drho = np.zeros(nb_bin_hist)
@@ -559,34 +562,33 @@ def disk_prop(
# print("Bin #{} : {} cells between {} and {}".format(i, np.sum(mask_bin), rad[i], rad[i + 1]))
press_rad[i] = np.sum(press_disk[mask_bin] * dvol_disk[mask_bin]) / np.sum(
dvol_disk[mask_bin]
)
rho_rad[i] = np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin]) / np.sum(
dvol_disk[mask_bin]
)
temp_rad[i] = np.sum(press_disk[mask_bin] * dvol_disk[mask_bin]) / np.sum(
rho_disk[mask_bin] * dvol_disk[mask_bin]
)
vol_rad[i] = np.sum(dvol_disk[mask_bin])
mass_rad[i] = np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin])
press_rad[i] = np.sum(press_disk[mask_bin] * dvol_disk[mask_bin]) / vol_rad[i]
rho_rad[i] = np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin]) / vol_rad[i]
temp_rad[i] = np.sum(press_disk[mask_bin] * dvol_disk[mask_bin]) / mass_rad[i]
# Surface of a bin : S = dr * 2 * pi * r with
# dr = rad[i + 1] - rad[i] and r = (rad[i + 1] + rad[i]) / 2.
coldens_rad[i] = np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin]) / (
(rad[i + 1] - rad[i]) * (rad[i + 1] + rad[i]) * np.pi
surf_rad[i] = (rad[i + 1] - rad[i]) * (rad[i + 1] + rad[i]) * np.pi
coldens_rad[i] = mass_rad[i] / surf_rad[i]
v_az_rad[i] = (
np.sum(v_az_disk[mask_bin] * rho_disk[mask_bin] * dvol_disk[mask_bin])
/ mass_rad[i]
)
v_az_rad[i] = np.sum(
v_az_disk[mask_bin] * rho_disk[mask_bin] * dvol_disk[mask_bin]
) / np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin])
v_rad_rad[i] = (
np.sum(v_rad_disk[mask_bin] * rho_disk[mask_bin] * dvol_disk[mask_bin])
/ mass_rad[i]
)
v_rad_rad[i] = np.sum(
v_rad_disk[mask_bin] * rho_disk[mask_bin] * dvol_disk[mask_bin]
) / np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin])
height_rad[i] = np.sum(
height_disk[mask_bin] * rho_disk[mask_bin] * dvol_disk[mask_bin]
) / np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin])
height_rad[i] = (
np.sum(height_disk[mask_bin] * rho_disk[mask_bin] * dvol_disk[mask_bin])
/ mass_rad[i]
)
alpha_rey_rad[i] = (
alpha_rey_rad[i] = (2.0 / 3) * (
(
np.sum(
v_az_disk[mask_bin]
@@ -601,12 +603,6 @@ def disk_prop(
/ abs(v_az_rad[i])
)
# alpha_rey_rad_bis[i] = (2./3) * (np.sum((v_az_disk[mask_bin] - v_az_rad[i])
# * (v_rad_disk[mask_bin] - v_rad_rad[i])
# * rho_disk[mask_bin] * dvol_disk[mask_bin])
# / np.sum(dvol_disk[mask_bin] * press_disk[mask_bin])
# * v_az_rad[i] / abs(v_az_rad[i]))
alpha_grav_rad[i] = (2.0 / 3) * (
np.sum(
g_az_disk[mask_bin]
@@ -619,9 +615,10 @@ def disk_prop(
* coldens_rad[i]
)
v_kepl_rad[i] = np.sum(
v_kepl[mask_bin] * rho_disk[mask_bin] * dvol_disk[mask_bin]
) / np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin])
v_kepl_rad[i] = (
np.sum(v_kepl[mask_bin] * rho_disk[mask_bin] * dvol_disk[mask_bin])
/ mass_rad[i]
)
# Histogramm : density fluctuaction distribution function
drho = np.log(rho_disk[mask_bin] / rho_rad[i])
@@ -630,19 +627,33 @@ def disk_prop(
)
hist_drho = hist_drho + hist
print(hist_drho, hist_edges)
# Derived quantities
cs_rad = np.sqrt(temp_rad)
Q_kepl_rad = cs_rad * v_az_rad / (np.pi * G * coldens_rad * rad[0 : nb_bin - 1])
# Means
mask_mean = (0.1 < rad[0 : nb_bin - 1]) & (rad[0 : nb_bin - 1] < 0.2)
print(rad[0 : nb_bin - 1][mask_mean])
mass_mean = np.sum(mass_rad[mask_mean])
alpha_rey_mean = np.sum(alpha_rey_rad[mask_mean] * mass_rad[mask_mean]) / mass_mean
alpha_grav_mean = (
np.sum(alpha_grav_rad[mask_mean] * mass_rad[mask_mean]) / mass_mean
)
Q_mean = np.sum(Q_kepl_rad[mask_mean] * mass_rad[mask_mean]) / mass_mean
Q_min = np.nanmin(Q_kepl_rad)
print("alphas, Q ", alpha_rey_mean, alpha_grav_mean, Q_mean)
# store the results
prop_disk = {
"time": time,
"tot_mass": total_mass_disk,
"mass_disk": total_mass_disk,
"mass_box": total_mass,
"rad": rad[0 : nb_bin - 1],
"center": pos_star,
"alpha_rey": alpha_rey_rad,
# 'alpha_rey_bis':alpha_rey_rad_bis,
"alpha_rey_mean": alpha_rey_mean,
"alpha_grav": alpha_grav_rad,
"alpha_grav_mean": alpha_grav_mean,
"v_rad": v_rad_rad,
"v_az": v_az_rad,
"v_kepl": v_kepl_rad,
@@ -654,10 +665,10 @@ def disk_prop(
"temp": temp_rad,
"cs": cs_rad,
"Q_kepl": Q_kepl_rad,
"Q_mean": Q_mean,
"Q_min": Q_min,
"height": height_rad,
}
# store the results
f = open(name_save, "w")
pickle.dump(prop_disk, f)
f.close()
@@ -677,7 +688,7 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
# Check if the properties file exists
if len(glob.glob(name_save)) == 0:
raise ("no pickle file for disk properties. Run single_z_disk_prop")
raise ("no pickle file for disk properties. Run disk_prop() first")
f = open(name_save, "r")
prop_disk = pickle.load(f)
f.close()
@@ -688,8 +699,9 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
return
time = prop_disk["time"]
mass = prop_disk["tot_mass"]
mass = prop_disk["mass_disk"]
title = "t=" + str(time)[0:5] + " (code)"
rad = prop_disk["rad"]
if interactive:
P.figure()
@@ -699,7 +711,7 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
P.xscale("log")
P.yscale("log")
P.grid()
P.plot(prop_disk["rad"], prop_disk["rho"], color="k", linewidth=2)
P.plot(rad, prop_disk["rho"], color="k", linewidth=2)
P.ylabel(r"$n \, (code)$")
P.xlabel("disk radius")
P.title(title)
@@ -712,7 +724,7 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
P.xscale("log")
P.yscale("log")
P.grid()
P.plot(prop_disk["rad"], prop_disk["temp"], color="k", linewidth=2)
P.plot(rad, prop_disk["temp"], color="k", linewidth=2)
P.ylabel(r"$T \, (K)$")
P.xlabel("disk radius")
P.title(title)
@@ -725,10 +737,10 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
P.xscale("log")
P.yscale("symlog", linthreshy=0.01)
P.plot((prop_disk["rad"]), ((prop_disk["v_rad"])), color="k", linewidth=2)
P.plot((prop_disk["rad"]), ((prop_disk["v_kepl"])), color="b", linewidth=2)
P.plot((prop_disk["rad"]), (abs(prop_disk["v_az"])), color="r", linewidth=2)
P.plot((prop_disk["rad"]), ((prop_disk["cs"])), color="c", linewidth=2)
P.plot(rad, prop_disk["v_rad"], color="k", linewidth=2)
P.plot(rad, prop_disk["v_kepl"], color="b", linewidth=2)
P.plot(rad, abs(prop_disk["v_az"]), color="r", linewidth=2)
P.plot(rad, prop_disk["cs"], color="c", linewidth=2)
P.grid()
P.legend((r"$v_r$", r"$v_{kepl}$", r"$v_\phi$", r"$c_s$"), loc="upper right")
@@ -743,7 +755,7 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
P.xscale("log")
P.yscale("log")
P.grid()
P.plot(prop_disk["rad"], prop_disk["coldens"], color="k", linewidth=2)
P.plot(rad, prop_disk["coldens"], color="k", linewidth=2)
P.ylabel(r"$N\, (cm^{-2})$")
P.xlabel("disk radius ")
P.title(title)
@@ -754,36 +766,40 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
P.close()
# Alpha
alpha_rey_mean, alpha_grav_mean = (
prop_disk["alpha_rey_mean"],
prop_disk["alpha_grav_mean"],
)
# P.xscale('log')
P.xlim([1e-2, 0.25])
P.yscale("log")
P.ylim([1e-7, 1.0])
P.grid()
P.plot(
prop_disk["rad"],
abs(prop_disk["alpha_rey"]),
linewidth=2,
label=r"$\alpha_{Reynolds}$",
rad, abs(prop_disk["alpha_rey"]), "b", linewidth=2, label=r"$\alpha_{Reynolds}$"
)
# P.plot(prop_disk['rad'],abs(prop_disk['alpha_rey_bis']), '--', linewidth=1,label=r"$\alpha_R 2$")
P.plot(rad, abs(alpha_rey_mean * np.ones(len(rad))), "b:", linewidth=1)
P.plot(
prop_disk["rad"],
abs(prop_disk["alpha_grav"]),
linewidth=2,
label=r"$\alpha_{grav}$",
rad, abs(prop_disk["alpha_grav"]), "r", linewidth=2, label=r"$\alpha_{grav}$"
)
P.plot(rad, abs(alpha_grav_mean * np.ones(len(rad))), "r:", linewidth=1)
P.plot(
prop_disk["rad"],
rad,
abs(prop_disk["alpha_rey"]) + abs(prop_disk["alpha_grav"]),
"--",
"g--",
linewidth=2,
label=r"$\alpha_{tot}$",
)
P.title(
title
+ r", $\bar{\alpha}_{Reynolds} = %.1e, \bar{\alpha}_{grav} = %.1e$"
% (alpha_rey_mean, alpha_grav_mean)
)
P.legend()
P.ylabel(r"$\alpha$")
P.xlabel("disk radius ")
P.title(title)
if interactive:
P.figure()
@@ -796,7 +812,8 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
P.xlim([0, 0.5])
P.yticks(np.arange(0.0, 11, 1.0))
P.grid()
P.plot(prop_disk["rad"], abs(prop_disk["Q_kepl"]), color="b", linewidth=2)
P.plot(rad, abs(prop_disk["Q_kepl"]), color="b", linewidth=2)
P.plot(rad, abs(prop_disk["Q_mean"]) * np.ones(len(rad)), "b:", linewidth=1)
P.ylabel(r"$Q$")
P.xlabel("disk radius ")
P.title(title + ", mass of disk = {} (code)".format(mass))
@@ -809,12 +826,7 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
# height ratio
P.grid()
P.plot(
prop_disk["rad"],
abs(prop_disk["height"] / prop_disk["rad"]),
color="b",
linewidth=2,
)
P.plot(rad, abs(prop_disk["height"] / rad), color="b", linewidth=2)
P.ylabel(r"H ratio")
P.xlabel("disk radius ")
P.title(title + ", mass of box = {} (code)".format(prop_disk["mass_box"]))
@@ -841,3 +853,176 @@ def plot_disk_prop(path, num, force=False, tag="", interactive=False):
else:
P.savefig(path + "/drho_hist_" + str(num).zfill(5) + out_ext)
P.close()
def compare(path, runs, num, force=False, interactive=False):
"""
Compare properties of a disk in several simulations
num id of the ramses output
runs list of runs to consider
path path to the properties file
force if set, redo plots even if already done
interactive interactive mode, to use in a %pylab ipython shell
"""
# Initialize arrays
time = np.zeros(len(runs))
alpha_rey = np.zeros(len(runs))
alpha_grav = np.zeros(len(runs))
Q = np.zeros(len(runs))
Q0 = np.zeros(len(runs))
for i, run in enumerate(runs):
path_run = path + "/" + run
# Load property file
name_save = path_run + "/prop_disk_" + str(num).zfill(5) + ".save"
# Check if the properties file exists
if len(glob.glob(name_save)) == 0:
raise ("no pickle file for disk properties. Run disk_prop() first")
f = open(name_save, "r")
prop_disk = pickle.load(f)
f.close()
time[i] = prop_disk["time"]
alpha_rey[i] = prop_disk["alpha_rey_mean"]
alpha_grav[i] = prop_disk["alpha_grav_mean"]
Q[i] = prop_disk["Q_min"]
Q0[i] = float(run.split("_")[2][1:])
# Check if the output file exists, and exit if it is the case
name_save = path + "/alphaQ_" + str(num).zfill(5) + out_ext
if not force and len(glob.glob(name_save)) != 0:
return
title = "t=" + str(time[0]) + " (code)"
# alpha = f(Qmin)
P.yscale("log")
P.ylim([1e-7, 1.0])
P.grid()
P.plot(Q, abs(alpha_rey), "o--", label=r"$\bar{\alpha}_{Reynolds}$")
P.plot(Q, abs(alpha_grav), "*--", label=r"$\bar{\alpha}_{grav}$")
P.legend()
P.ylabel(r"$\bar{\alpha}$")
P.xlabel(r"$Q_{min}$")
if interactive:
P.figure()
else:
P.savefig(path + "/alphaQ_" + str(num).zfill(5) + out_ext)
P.close()
# alpha = f(Q0)
P.yscale("log")
P.ylim([1e-7, 1.0])
P.grid()
P.plot(Q0, abs(alpha_rey), "o-.", label=r"$\bar{\alpha}_{Reynolds}$")
P.plot(Q0, abs(alpha_grav), "*--", label=r"$\bar{\alpha}_{grav}$")
P.legend()
P.ylabel(r"$\bar{\alpha}$")
P.xlabel(r"$Q_{0}$")
if interactive:
P.figure()
else:
P.savefig(path + "/alphaQ0_" + str(num).zfill(5) + out_ext)
P.close()
def evolution(path, nums, force=False, interactive=False):
"""
Plot properties over time
path path to the properties file
nums list of id of the ramses output
force if set, redo plots even if already done
interactive interactive mode, to use in a %pylab ipython shell
"""
# Initialize arrays
time = np.zeros(len(nums))
alpha_rey = np.zeros(len(nums))
alpha_grav = np.zeros(len(nums))
Qmin = np.zeros(len(nums))
Qmean = np.zeros(len(nums))
mass_disk = np.zeros(len(nums))
mass_box = np.zeros(len(nums))
for i, num in enumerate(nums):
# Load property file
name_prop = path + "/prop_disk_" + str(num).zfill(5) + ".save"
# Check if the properties file exists
if len(glob.glob(name_prop)) == 0:
raise ("no pickle file for disk properties. Run disk_prop() first")
f = open(name_prop, "r")
prop_disk = pickle.load(f)
f.close()
time[i] = prop_disk["time"]
alpha_rey[i] = prop_disk["alpha_rey_mean"]
alpha_grav[i] = prop_disk["alpha_grav_mean"]
Qmin[i] = prop_disk["Q_min"]
Qmean[i] = prop_disk["Q_mean"]
mass_disk[i] = prop_disk["mass_disk"]
mass_box[i] = prop_disk["mass_box"]
# Check if the output file exists, and exit if it is the case
name_save = path + "/alpha_time" + out_ext
if not force and len(glob.glob(name_save)) != 0:
return
# Alpha
P.yscale("log")
P.ylim([1e-7, 1.0])
P.grid()
P.plot(time, abs(alpha_rey), "o-.", label=r"$\bar{\alpha}_{Reynolds}$")
P.plot(time, abs(alpha_grav), "*--", label=r"$\bar{\alpha}_{grav}$")
P.legend()
P.ylabel(r"$\bar{\alpha}$")
P.xlabel(r"time (code)")
if interactive:
P.figure()
else:
P.savefig(path + "/alpha_time" + out_ext)
P.close()
# Q
P.grid()
P.plot(time, Qmin, "o-.", label=r"$Q_{min}$")
P.plot(time, Qmean, "*--", label=r"$\bar{Q}$")
P.legend()
P.ylabel(r"$Q$")
P.xlabel(r"time (code)")
if interactive:
P.figure()
else:
P.savefig(path + "/Q_time" + out_ext)
P.close()
# M
P.grid()
P.plot(time, mass_disk, "o-.", label=r"$M_{disk}$")
P.plot(time, mass_box, "*--", label=r"$M_{box}$")
P.legend()
P.ylabel(r"$M / M_{*}$")
P.xlabel(r"time (code)")
if interactive:
P.figure()
else:
P.savefig(path + "/mass_time" + out_ext)
P.close()