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linear interpolation + regression

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Noe Brucy
2019-05-15 11:41:29 +02:00
parent a587704ed5
commit 5eb5ae36c4
2 changed files with 106 additions and 35 deletions
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disk_postprocess.py
+97 -34
View File
@@ -19,7 +19,7 @@ except:
print("cPickle not found, using pickle")
import pickle
import tables
from scipy.stats import linregress
from pymses.sources.ramses import output
from pymses.analysis import Camera, raytracing, slicing, splatting
from pymses.filters import CellsToPoints
@@ -872,8 +872,9 @@ def disk_pdf(
interactive=False,
nb_bin_hist=50,
tag="",
rad_min=0.08,
rad_min=0.05,
rad_max=0.4,
put_title=True,
):
# Load property file
@@ -900,7 +901,7 @@ def disk_pdf(
print("maps file loaded")
time = prop_disk["time"]
title = "t=" + str(time)[0:5] + " (code)"
title = tag.split("_")[1] + " t=" + str(time)[0:5] + " (code)"
coldens_map = maps_disk["coldens_z"]
im_extent = maps_disk["im_extent"]
@@ -945,39 +946,58 @@ def disk_pdf(
# Histogramm : density fluctuation distribution function
dcoldens = np.log10(coldens_map.flatten() / coldens_mean)
mask_hist = (rr_flat > rad_min) & (rr_flat < rad_max)
nb_cells = np.sum(mask_hist)
P.grid()
P.yscale("log")
P.ylim([0.5 / nb_cells, 1.0])
P.xlabel(r"$\log(N / \bar{N})$")
P.ylabel("Probability density")
P.title(title)
P.hist(
dcoldens[(rr_flat > rad_min) & (rr_flat < rad_max)], nb_bin_hist, range=(-1, 3)
if put_title:
P.title(title)
values, edges, _ = P.hist(
dcoldens[mask_hist],
nb_bin_hist,
range=(-1, 3),
weights=np.ones(nb_cells) / nb_cells,
)
centers = 0.5 * (edges[1:] + edges[:-1])
# Compute the slope of the right part of the histogramm
mask_fit = (centers > 0.25) & (centers < 1.25) & (values > 0)
(a, b, rho, _, _) = linregress(centers[mask_fit], np.log10(values[mask_fit]))
print("a=%e, b=%e, rho=%e" % (a, b, rho))
fit = {
"beta": int(tag.split("_")[1][4:]),
"slope": a,
"origin": b,
"correlation": rho,
}
P.plot(centers, 10 ** (a * centers + b), "--")
f = open(name_prop, "w")
prop_disk["fit"] = fit
pickle.dump(prop_disk, f)
f.close()
if interactive:
pass
else:
P.savefig(path + "/dcol_hist_" + str(num).zfill(5) + out_ext)
P.savefig(path + "/dcol_hist_" + tag + "_" + str(num).zfill(5) + out_ext)
P.close()
# Fluctuation map
dcoldens_map = np.reshape(dcoldens, coldens_map.shape)
# cont = P.contour(coldens_mean_map,
# extent=im_extent,
# origin='lower',
# colors='k',
# linewidths=0.1)
im = P.imshow(dcoldens_map, extent=im_extent, origin="lower", cmap="viridis")
P.title(title)
if put_title:
P.title(title)
P.xlabel(r"$x$")
P.ylabel(r"$y$")
cbar = P.colorbar(im)
cbar.set_label(r"$log(N/\bar{N})$ (code)")
name = path + "/dcoldensmap_" + format(num, "05")
name = path + "/dcoldensmap_" + tag + "_" + format(num, "05")
name_im = name + out_ext
if interactive:
@@ -987,7 +1007,7 @@ def disk_pdf(
P.close()
def compare(path, runs, num, force=False, interactive=False):
def compare(path, runs, num, force=False, interactive=False, Q_in_name=True, pdf=False):
"""
Compare properties of a disk in several simulations
@@ -1003,7 +1023,11 @@ def compare(path, runs, num, force=False, interactive=False):
alpha_rey = np.zeros(len(runs))
alpha_grav = np.zeros(len(runs))
Q = np.zeros(len(runs))
Q0 = np.zeros(len(runs))
if Q_in_name:
Q0 = np.zeros(len(runs))
if pdf:
beta = np.zeros(len(runs))
slope = np.zeros(len(runs))
for i, run in enumerate(runs):
path_run = path + "/" + run
@@ -1021,12 +1045,17 @@ def compare(path, runs, num, force=False, interactive=False):
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:])
if Q_in_name:
Q0[i] = float(run.split("_")[2][1:])
if pdf:
fit = prop_disk["fit"]
beta[i] = fit["beta"]
slope[i] = fit["slope"]
# 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
# if (not force and len(glob.glob(name_save)) !=0):
# return
title = "t=" + str(time[0]) + " (code)"
@@ -1048,23 +1077,57 @@ def compare(path, runs, num, force=False, interactive=False):
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()
if Q_in_name:
# 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.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"$Q_{0}$")
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()
if interactive:
P.figure()
else:
P.savefig(path + "/alphaQ0_" + str(num).zfill(5) + out_ext)
P.close()
if pdf:
# slope of the pdf = f(beta)
P.grid()
P.plot(beta, slope, "o-.")
P.legend()
P.ylabel(r"$d\log\% / d\logN$")
P.xlabel(r"$\beta$")
if interactive:
P.figure()
else:
P.savefig(path + "/dcolslopebeta_" + str(num).zfill(5) + out_ext)
P.close()
# alpha = f(beta)
P.yscale("log")
P.ylim([1e-7, 1.0])
P.grid()
P.plot(beta, abs(alpha_rey), "o-.", label=r"$\bar{\alpha}_{Reynolds}$")
P.plot(beta, abs(alpha_grav), "*--", label=r"$\bar{\alpha}_{grav}$")
P.legend()
P.ylabel(r"$\bar{\alpha}$")
P.xlabel(r"$\beta_{cool}$")
if interactive:
P.figure()
else:
P.savefig(path + "/alphabeta_" + str(num).zfill(5) + out_ext)
P.close()
def evolution(path, nums, force=False, interactive=False):
pipeline_disk.py
+9 -1
View File
@@ -224,4 +224,12 @@ if args.compare:
path = storage_out + path_suffix
for i in range(first, last + 1, step):
dp.compare(path, runs, i, force=args.force_redo, interactive=args.interactive)
dp.compare(
path,
runs,
i,
force=args.force_redo,
interactive=args.interactive,
Q_in_name=(not args.pdf),
pdf=args.pdf,
)