Noe brucy
769 lines
22 KiB
Python
769 lines
22 KiB
Python
# coding: utf-8
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import sys
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import numpy as np
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import os
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import pymses
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import matplotlib as mpl
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if os.environ.get("DISPLAY", "") == "":
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print("No display found. Using non-interactive Agg backend")
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mpl.use("Agg")
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import pylab as P
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import glob as glob
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import pickle as pickle
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from pymses.sources.ramses import output
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from pymses.analysis import Camera, raytracing, slicing
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from pymses.filters import CellsToPoints
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from pymses.analysis import ScalarOperator, FractionOperator, MaxLevelOperator
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# extension for out files
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out_ext = ".jpeg"
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P.rcParams["image.cmap"] = "plasma"
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P.rcParams["savefig.dpi"] = 400
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def make_image_disk(
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path,
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num,
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path_out=None,
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order="<",
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force=False,
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tag="",
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vel_red=20,
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map_size=512,
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put_title=True,
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cpuamr=False,
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pos_star=np.array([1.0, 1.0, 1.0]),
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interactive=False,
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):
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"""
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Make several useful image of an output of a simulation
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Parameters
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----------
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path path of the Ramses output
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num Ramses output number
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path_out path of the pipeline outputb
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order '<' or '>' TODO
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force if set, erase any existing pipeline output files
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tag string to add to the output name
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vel_red number of point where velocity should be plot in the slices
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map_size size of the map
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cpuamr plot also levels and cpus at each step
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"""
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ro = pymses.RamsesOutput(path, num, order=order)
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amr = ro.amr_source(["rho", "vel", "P"])
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rad = 0.5
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center = [0.5, 0.5, 0.5]
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make_image_aux(
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amr,
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ro,
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center,
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rad,
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num,
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path,
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force=force,
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path_out=path_out,
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map_size=map_size,
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vel_red=vel_red,
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tag=tag,
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cpuamr=cpuamr,
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put_title=put_title,
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pos_star=pos_star,
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interactive=interactive,
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)
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def make_image_aux(
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amr,
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ro,
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center,
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radius,
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num,
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path,
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force=False,
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path_out=None,
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map_size=512,
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vel_red=20,
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tag="",
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cpuamr=False,
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pos_star=np.array([1.0, 1.0, 1.0]),
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put_title=True,
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interactive=False,
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):
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"""
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Make several useful image of an output of a simulation, auxillary function
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Parameters
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----------
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amr
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ro pymses.RamsesOutput object
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center 3D array for coordinates center
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num output number
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path_out path of the pipeline output
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force if set, erase any existing pipeline output files
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tag string to add to the output name
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vel_red number of point where velocity should be plot in the slices
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map_size size of the map
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cpuamr plot also levels and cpus at each step
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"""
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lbox = ro.info["boxlen"] # boxlen in codeunits
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lbox_units = lbox
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G = 1.0 # Gravitational constant
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ntick = 6
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title_ax = {"x": "x (code)", "y": "y (code)", "z": "z (code)"}
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time = ro.info["time"] # time in codeunits
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title = "t=" + str(time)[0:5] + " (code)"
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if path_out is not None:
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directory = path_out
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else:
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directory = path
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name = directory + "/coldens_z" + "_" + tag + "_" + format(num, "05") + out_ext
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if len(glob.glob(name)) == 1 and not force:
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return
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rho_op = ScalarOperator(lambda dset: dset["rho"], ro.info["unit_density"])
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rt = raytracing.RayTracer(amr, ro.info, rho_op)
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axes_los = ["x", "y", "z"] # Line of sight axes
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axes_h = ["y", "x", "x"] # Horizontal axes
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axes_v = ["z", "z", "y"] # Vertical axes
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ax_nb = {"x": 0, "y": 1, "z": 2}
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image_names = ["coldens", "rho", "T"]
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for i, ax_los in enumerate(axes_los):
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ax_h = axes_h[i]
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ax_v = axes_v[i]
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cam = Camera(
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center=center,
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line_of_sight_axis=ax_los,
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region_size=[2.0 * radius, 2.0 * radius],
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distance=radius,
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far_cut_depth=radius,
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up_vector=ax_v,
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map_max_size=map_size,
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)
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datamap = rt.process(cam, surf_qty=True)
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# Column density
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dmap_col = datamap.map.T * lbox
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map_col = np.log10(dmap_col)
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if interactive:
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P.figure()
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else:
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P.close()
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im = P.imshow(
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map_col,
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extent=[
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(-radius + center[0]) * lbox_units,
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(radius + center[0]) * lbox_units,
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(-radius + center[1]) * lbox_units,
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(radius + center[1]) * lbox_units,
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],
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origin="lower",
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)
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P.locator_params(axis=ax_h, nbins=ntick)
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P.locator_params(axis=ax_v, nbins=ntick)
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if put_title:
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P.title(title)
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P.xlabel(title_ax[ax_h])
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P.ylabel(title_ax[ax_v])
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cbar = P.colorbar(im)
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cbar.set_label(r"$log(N)$ (code)")
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name = directory + "/coldens_" + ax_los + "_" + tag + "_" + format(num, "05")
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name_im = name + out_ext
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if interactive:
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P.figure()
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else:
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P.savefig(name_im)
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P.close()
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# Rho slice
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dmap_rho = slicing.SliceMap(amr, cam, rho_op, z=0.0)
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map_rho = np.log10(dmap_rho.map)
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map_rho = map_rho.T
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vh_op = ScalarOperator(
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lambda dset: dset["vel"][:, ax_nb[ax_h]], ro.info["unit_velocity"]
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)
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dmap_vh = slicing.SliceMap(amr, cam, vh_op, z=0.0)
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map_vh_red = dmap_vh.map[
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::vel_red, ::vel_red
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] # take only a subset of velocities
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map_vh_red = map_vh_red.T
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vv_op = ScalarOperator(
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lambda dset: dset["vel"][:, ax_nb[ax_v]], ro.info["unit_velocity"]
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)
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dmap_vv = slicing.SliceMap(amr, cam, vv_op, z=0.0)
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map_vv_red = dmap_vv.map[::vel_red, ::vel_red]
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map_vv_red = map_vv_red.T
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im = P.imshow(
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map_rho,
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extent=[
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(-radius + center[0]) * lbox_units,
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(radius + center[0]) * lbox_units,
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(-radius + center[1]) * lbox_units,
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(radius + center[1]) * lbox_units,
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],
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origin="lower",
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)
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P.locator_params(axis=ax_h, nbins=ntick)
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P.locator_params(axis=ax_v, nbins=ntick)
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nh = map_vh_red.shape[0]
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nv = map_vv_red.shape[1]
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vec_h = (
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np.arange(nh) * 2.0 / nh * radius - radius + center[0] + radius / nh
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) * lbox_units
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vec_v = (
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np.arange(nv) * 2.0 / nv * radius - radius + center[1] + radius / nv
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) * lbox_units
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hh, vv = np.meshgrid(vec_h, vec_v)
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max_v = np.max(np.sqrt(map_vh_red ** 2 + map_vv_red ** 2))
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Q = P.quiver(hh, vv, map_vh_red, map_vv_red, units="width")
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P.quiverkey(
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Q,
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0.7,
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0.95,
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max_v,
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r"$" + str(max_v)[0:4] + "$ (code)",
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labelpos="E",
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coordinates="figure",
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)
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if put_title:
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P.title(title)
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P.xlabel(title_ax[ax_h])
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P.ylabel(title_ax[ax_v])
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cbar = P.colorbar(im)
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cbar.set_label(r"$log(n)$ (code)")
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name = directory + "/rho_" + ax_los + "_" + tag + "_" + format(num, "05")
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name_im = name + out_ext
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if interactive:
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P.figure()
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else:
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P.savefig(name_im)
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P.close()
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P_op = ScalarOperator(lambda dset: dset["P"], ro.info["unit_pressure"])
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dmap_P = slicing.SliceMap(amr, cam, P_op, z=0.0)
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dmap_T = dmap_P.map.T / dmap_rho.map.T
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map_T = np.log10(dmap_T)
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im = P.imshow(
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map_T,
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extent=[
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(-radius + center[0]) * lbox_units,
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(radius + center[0]) * lbox_units,
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(-radius + center[1]) * lbox_units,
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(radius + center[1]) * lbox_units,
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],
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origin="lower",
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)
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P.locator_params(axis="x", nbins=ntick)
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P.locator_params(axis="y", nbins=ntick)
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if put_title:
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P.title(title)
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P.xlabel(title_ax[ax_h])
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P.ylabel(title_ax[ax_v])
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cbar = P.colorbar(im)
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cbar.set_label(r"$log(T) \, (K)$")
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name = directory + "/T_" + ax_los + "_" + tag + "_" + format(num, "05")
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name_im = name + out_ext
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if interactive:
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P.figure()
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else:
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P.savefig(name_im)
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P.close()
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# Toomre parameter
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if ax_los == "z":
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def omega_rho_func(dset):
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pos = dset.get_cell_centers()
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pos = pos - (pos_star / lbox)
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xx = pos[:, :, 0]
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yy = pos[:, :, 1]
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rc = np.sqrt(xx ** 2 + yy ** 2) # cylindrical radius
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vx = dset["vel"][:, :, 0]
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vy = dset["vel"][:, :, 1]
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omega_rho = 1.0 / rc ** 2
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omega_rho = omega_rho * dset["rho"]
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vyx = vy * xx
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vxy = vx * yy
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omega_rho = omega_rho * (vyx - vxy)
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return omega_rho
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omega_op = FractionOperator(
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omega_rho_func, lambda dset: dset["rho"], 1.0 / ro.info["unit_time"]
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)
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cs_op = FractionOperator(
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lambda dset: dset["P"],
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lambda dset: dset["rho"],
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ro.info["unit_velocity"],
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)
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rt_omega = raytracing.RayTracer(amr, ro.info, omega_op)
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rt_cs = raytracing.RayTracer(amr, ro.info, cs_op)
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dmap_omega = rt_omega.process(cam)
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dmap_cs = rt_cs.process(cam)
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dmap_Q = (lbox * dmap_cs.map.T) * dmap_omega.map.T / (np.pi * G * dmap_col)
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map_Q = dmap_Q
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im = P.imshow(
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map_Q,
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extent=[
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(-radius + center[0]) * lbox_units,
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(radius + center[0]) * lbox_units,
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(-radius + center[1]) * lbox_units,
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(radius + center[1]) * lbox_units,
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],
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origin="lower",
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norm=mpl.colors.LogNorm(),
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)
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P.locator_params(axis="x", nbins=ntick)
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P.locator_params(axis="y", nbins=ntick)
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if put_title:
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P.title(title)
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P.xlabel(title_ax[ax_h])
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P.ylabel(title_ax[ax_v])
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cbar = P.colorbar(im)
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cbar.set_label(r"$Q$")
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name = directory + "/Q_" + ax_los + "_" + tag + "_" + format(num, "05")
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name_im = name + out_ext
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if interactive:
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P.figure()
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else:
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P.savefig(name_im)
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P.close()
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if cpuamr:
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level_op = MaxLevelOperator()
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amr.set_read_levelmax(20)
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rt_level = raytracing.RayTracer(amr, ro.info, level_op)
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datamap = rt_level.process(cam, surf_qty=True)
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map_level = datamap.map.T
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im = P.imshow(
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map_level,
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extent=[
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(-radius + center[0]) * lbox_units,
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(radius + center[0]) * lbox_units,
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(-radius + center[1]) * lbox_units,
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(radius + center[1]) * lbox_units,
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],
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origin="lower",
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)
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P.locator_params(axis="x", nbins=ntick)
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P.locator_params(axis="y", nbins=ntick)
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if put_title:
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P.title(title)
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P.xlabel(title_ax[ax_h])
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P.ylabel(title_ax[ax_v])
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cbar = P.colorbar(im)
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cbar.set_label(r"level")
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name = directory + "/level_" + ax_los + "_" + tag + "_" + format(num, "05")
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name_im = name + out_ext
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if interactive:
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P.figure()
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else:
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P.savefig(name_im)
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P.close()
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cpu_op = ScalarOperator(
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lambda dset: dset.icpu * (np.ones(dset["P"].shape)),
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ro.info["unit_pressure"],
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)
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rt_cpu = raytracing.RayTracer(amr, ro.info, cpu_op)
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datamap = rt_cpu.process(cam, surf_qty=True)
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map_cpu = datamap.map.T
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im = P.imshow(
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map_cpu,
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extent=[
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(-radius + center[0]) * lbox_units,
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(radius + center[0]) * lbox_units,
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(-radius + center[1]) * lbox_units,
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(radius + center[1]) * lbox_units,
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],
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origin="lower",
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)
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P.locator_params(axis="x", nbins=ntick)
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P.locator_params(axis="y", nbins=ntick)
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if put_title:
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P.title(title)
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P.xlabel(title_ax[ax_h])
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P.ylabel(title_ax[ax_v])
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cbar = P.colorbar(im)
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cbar.set_label(r"cpu")
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name = directory + "/cpu_" + ax_los + "_" + tag + "_" + format(num, "05")
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name_im = name + out_ext
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if interactive:
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P.figure()
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else:
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P.savefig(name_im)
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P.close()
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def disk_prop(
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path_in,
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num,
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path_out=None,
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force=False,
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nb_bin=20,
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rad_ext=1.0,
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mass_star=1.0,
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pos_star=np.array([1.0, 1.0, 1.0]),
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):
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"""
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Compute properties of a disk in the plane (0,x,y)
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with a protostar at the center of the box
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The region of the disk is defined by its scale height
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Parameters
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----------
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path_in path of the input data files (output of ramses)
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num id of the output
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path_out optional path to the output files
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force if set, redo ouptut even if already done
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nb_bin Number of radial bins
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rad_ext Outer radius of the disk
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pos_star position of the central protostar
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mass_star mass of the central protostar
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"""
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# Set th output directory
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if path_out is not None:
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directory_out = path_out
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else:
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directory_out = path_in
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# Check if the output file exists, and exit if it is the case
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name_save = directory_out + "/prop_disk_" + str(num).zfill(5) + ".save"
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if not force and len(glob.glob(name_save)) != 0:
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return
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# Compute the bins array
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lrad = np.log10(rad_ext)
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rad = np.logspace(lrad - 2.0, lrad, num=nb_bin)
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# Get Ramses data
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ro = pymses.RamsesOutput(path_in, num)
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lbox = ro.info["boxlen"] # boxlen in codeunits (=>pc)
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time = ro.info["time"] # time in codeunits
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# Get array of cell positions
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amr = ro.amr_source(["rho", "vel", "Br", "Bl", "P"])
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cell_source = CellsToPoints(amr)
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cells = cell_source.flatten()
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dx = cells.get_sizes()
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pos = cells.points * lbox
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# Get positions in the frame of the protostar
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pos = pos - pos_star
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# Get cylindrical radius
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rc = np.sqrt(pos[:, 0] ** 2 + pos[:, 1] ** 2)
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# Get velocities
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vel = cells["vel"]
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# Get radial component of velocity
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norm_pos = rc
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norm_pos[rc == 0] = 1.0e-10 # Avoid division per 0
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v_rad = (pos[:, 0] * vel[:, 0] + pos[:, 1] * vel[:, 1]) / norm_pos
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# Get azimuthal component of velocity
|
|
v_az = (pos[:, 0] * vel[:, 1] - pos[:, 1] * vel[:, 0]) / norm_pos
|
|
|
|
# Select cells that are actually in the disk, ie within the scale height
|
|
G = 1.0
|
|
cs = np.sqrt(cells["P"] / cells["rho"]) # sound velocity
|
|
height = cs * np.sqrt(rc ** 3 / (G * mass_star))
|
|
mask_pos = np.abs(pos[:, 2]) < height # condition on position
|
|
mask_dens = cells["rho"] > 1.0e6 # condition on density
|
|
mask = mask_pos # & mask_dens
|
|
print("Number of selected cells ", np.sum(mask))
|
|
|
|
pos_disk = pos[mask]
|
|
rc_disk = rc[mask]
|
|
vel_disk = vel[mask]
|
|
rho_disk = cells["rho"][mask] # density
|
|
press_disk = cells["P"][mask] # pressure
|
|
dx_disk = dx[mask]
|
|
dvol_disk = dx_disk ** 3
|
|
v_rad_disk = v_rad[mask]
|
|
v_az_disk = v_az[mask]
|
|
v_kepl = np.sqrt(mass_star * G / rc_disk)
|
|
|
|
total_mass_disk = np.sum(rho_disk * dvol_disk)
|
|
|
|
# Initialize binned quantities
|
|
cs_rad = np.zeros(nb_bin - 1)
|
|
temp_rad = np.zeros(nb_bin - 1)
|
|
press_rad = np.zeros(nb_bin - 1)
|
|
rho_rad = np.zeros(nb_bin - 1)
|
|
coldens_rad = np.zeros(nb_bin - 1)
|
|
v_az_rad = np.zeros(nb_bin - 1)
|
|
v_kepl_rad = np.zeros(nb_bin - 1)
|
|
v_rad_rad = np.zeros(nb_bin - 1)
|
|
alpha_rey_rad = np.zeros(nb_bin - 1)
|
|
Q_kepl_rad = np.zeros(nb_bin - 1)
|
|
|
|
for i in range(nb_bin - 1):
|
|
mask_bin = (rc_disk > rad[i]) & (rc_disk < rad[i + 1])
|
|
|
|
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]
|
|
)
|
|
|
|
# TODO verifier unites
|
|
# 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])
|
|
* (lbox) ** 3
|
|
/ ((rad[i + 1] - rad[i]) * (rad[i + 1] + rad[i]) * np.pi)
|
|
)
|
|
|
|
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]
|
|
) / np.sum(rho_disk[mask_bin] * dvol_disk[mask_bin])
|
|
|
|
alpha_rey_rad[i] = (
|
|
(
|
|
np.sum(
|
|
v_az_disk[mask_bin]
|
|
* v_rad_disk[mask_bin]
|
|
* rho_disk[mask_bin]
|
|
* dvol_disk[mask_bin]
|
|
)
|
|
/ np.sum(dvol_disk[mask_bin] * press_disk[mask_bin])
|
|
- v_az_rad[i] * v_rad_rad[i] * rho_rad[i] / press_rad[i]
|
|
)
|
|
* v_az_rad[i]
|
|
/ abs(v_az_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])
|
|
|
|
# Convert to good units (TODO check)
|
|
cs_rad = np.sqrt(temp_rad) # *scale_v / km_s
|
|
temp_rad = temp_rad # * scale_T2
|
|
press_rad = press_rad # * scale_v**2 * scale_d
|
|
|
|
v_az_rad = v_az_rad # * scale_v / km_s
|
|
v_rad_rad = v_rad_rad # * scale_v / km_s
|
|
v_kepl_rad = v_kepl_rad
|
|
|
|
Q_kepl_rad = cs_rad * v_az_rad / (np.pi * G * coldens_rad * rad[0 : nb_bin - 1])
|
|
|
|
prop_disk = {
|
|
"time": time,
|
|
"tot_mass": total_mass_disk,
|
|
"rad": rad[0 : nb_bin - 1],
|
|
"center": pos_star,
|
|
"alpha_rey": alpha_rey_rad,
|
|
"v_rad": v_rad_rad,
|
|
"v_az": v_az_rad,
|
|
"v_kepl": v_kepl_rad,
|
|
"coldens": coldens_rad,
|
|
"rho": rho_rad,
|
|
"press": press_rad,
|
|
"temp": temp_rad,
|
|
"cs": cs_rad,
|
|
"Q_kepl": Q_kepl_rad,
|
|
}
|
|
|
|
# store the results
|
|
f = open(name_save, "w")
|
|
pickle.dump(prop_disk, f)
|
|
f.close()
|
|
|
|
|
|
def plot_disk_prop(path, num, force=False, tag="", interactive=False):
|
|
"""
|
|
Plot properties of a disk
|
|
|
|
num id of the ramses output
|
|
path path to the properties file
|
|
force if set, redo plots even if already done
|
|
"""
|
|
|
|
# Load property file
|
|
name_save = path + "/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 single_z_disk_prop")
|
|
f = open(name_save, "r")
|
|
prop_disk = pickle.load(f)
|
|
f.close()
|
|
|
|
# Check if the output file exists, and exit if it is the case
|
|
name_save = path + "/rho_disk_r_" + str(num).zfill(5) + out_ext
|
|
if not force and len(glob.glob(name_save)) != 0:
|
|
return
|
|
|
|
time = prop_disk["time"]
|
|
mass = prop_disk["tot_mass"]
|
|
title = "t=" + str(time)[0:5] + " (code)"
|
|
|
|
if interactive:
|
|
P.figure()
|
|
else:
|
|
P.close()
|
|
|
|
P.xscale("log")
|
|
P.plot(prop_disk["rad"], np.log10(prop_disk["rho"]), color="k", linewidth=2)
|
|
P.ylabel(r"$\log(n) \, (code)$")
|
|
P.xlabel("disk radius")
|
|
P.title(title)
|
|
if interactive:
|
|
P.figure()
|
|
else:
|
|
P.savefig(path + "/rho_disk_r_" + str(num).zfill(5) + out_ext)
|
|
P.close()
|
|
|
|
P.xscale("log")
|
|
P.plot(prop_disk["rad"], np.log10(prop_disk["temp"]), color="k", linewidth=2)
|
|
P.ylabel(r"$\log(T) \, (K)$")
|
|
P.xlabel("disk radius")
|
|
P.title(title)
|
|
if interactive:
|
|
P.figure()
|
|
else:
|
|
P.savefig(path + "/T_disk_r_" + str(num).zfill(5) + out_ext)
|
|
P.close()
|
|
|
|
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.legend((r"$v_r$", r"$v_{kepl}$", r"$v_\phi$", r"$c_s$"), loc="upper right")
|
|
|
|
P.ylabel(r"$V \, (km s^{-1})$")
|
|
P.xlabel("disk radius")
|
|
if interactive:
|
|
P.figure()
|
|
else:
|
|
P.savefig(path + "/V_disk_r_" + str(num).zfill(5) + out_ext)
|
|
P.close()
|
|
|
|
P.xscale("log")
|
|
P.plot(prop_disk["rad"], np.log10(prop_disk["coldens"]), color="k", linewidth=2)
|
|
P.ylabel(r"$\log(N) \, (cm^{-2})$")
|
|
P.xlabel("disk radius ")
|
|
P.title(title)
|
|
if interactive:
|
|
P.figure()
|
|
else:
|
|
P.savefig(path + "/coldens_disk_r_" + str(num).zfill(5) + out_ext)
|
|
P.close()
|
|
|
|
# Alpha
|
|
P.xscale("log")
|
|
P.yscale("log")
|
|
P.ylim([1e-5, 1.0])
|
|
|
|
P.plot(prop_disk["rad"], abs(prop_disk["alpha_rey"]), color="b", linewidth=2)
|
|
|
|
P.plot(prop_disk["rad"], abs(prop_disk["alpha_rey"]), color="b", linewidth=2)
|
|
|
|
P.ylabel(r"$\alpha$")
|
|
P.xlabel("disk radius ")
|
|
P.title(title)
|
|
|
|
if interactive:
|
|
P.figure()
|
|
else:
|
|
P.savefig(path + "/alpha_disk_r_" + str(num).zfill(5) + out_ext)
|
|
P.close()
|
|
|
|
# Q
|
|
P.ylim([0, 10.0])
|
|
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.ylabel(r"$Q$")
|
|
P.xlabel("disk radius ")
|
|
P.title(title + ", mass of disk = {} (code)".format(mass))
|
|
|
|
if interactive:
|
|
pass
|
|
else:
|
|
P.savefig(path + "/Q_r_" + str(num).zfill(5) + out_ext)
|
|
P.close()
|
|
|
|
if pdf:
|
|
P.savefig(path + "/Q_r_" + str(num).zfill(5) + ".pdf")
|
|
P.savefig(path + "/Q_r_" + str(num).zfill(5) + ".jpeg")
|