some updates to the massive star slice plots (#2759)

now we offset t based on the driving time
also add a time-sequence plot

Exec/science/massive_star/analysis/massive_star_multi.py

@@ -22,6 +22,13 @@ def make_plot(plotfile, prefix="plot", width_frac=0.1,
 
  ds = CastroDataset(plotfile)
 
+ t_drive = 0.0
+ if "[*] castro.drive_initial_convection_tmax" in ds.parameters:
+ t_drive = ds.parameters["[*] castro.drive_initial_convection_tmax"]
+ elif "castro.drive_initial_convection_tmax" in ds.parameters:
+ t_drive = ds.parameters["castro.drive_initial_convection_tmax"]
+ print(t_drive)
+
  xmin = ds.domain_left_edge[0]
  xmax = ds.domain_right_edge[0]
 
@@ -70,32 +77,33 @@ def make_plot(plotfile, prefix="plot", width_frac=0.1,
 
  if f == "enuc":
  # now do a contour of NSE
- sp.annotate_contour("in_nse", ncont=1, clim=(0.5, 0.5), take_log=False,
- plot_args={"colors": "k", "linewidths": 2})
+ if ("boxlib", "in_nse") in ds.derived_field_list:
+ sp.annotate_contour("in_nse", ncont=1, clim=(0.5, 0.5), take_log=False,
+ plot_args={"colors": "k", "linewidths": 2})
 
  sp.set_axes_unit("cm")
 
  fig = sp.export_to_mpl_figure((layout[0], layout[1]), axes_pad=(1.0, 0.4),
  cbar_location=cbar_location, cbar_pad="2%")
 
  fig.subplots_adjust(left=0.05, right=0.95, bottom=0.025, top=0.975)
- fig.text(0.02, 0.02, f"time = {float(ds.current_time):8.2f} s",
+ fig.text(0.02, 0.02, f"$t - \\tau_\\mathrm{{drive}}$ = {float(ds.current_time) - t_drive:6.1f} s",
  transform=fig.transFigure)
  fig.set_size_inches(size)
  fig.tight_layout()
  extra = ""
  if layout[0] >= layout[1]:
  extra = "_vertical"
 
- fig.savefig(f"{prefix}_{os.path.basename(plotfile)}_w{width_frac:04.2f}{extra}.pdf", pad_inches=0)
+ fig.savefig(f"{prefix}_{os.path.basename(plotfile)}_w{width_frac:04.2f}{extra}.pdf", pad_inches=0.1, bbox_inches="tight")
 
 
 if __name__ == "__main__":
 
  p = argparse.ArgumentParser()
  p.add_argument("--vertical", action="store_true",
  help="plot 2x2 or 1x4")
- p.add_argument("--width_fraction", type=float, default=0.1,
+ p.add_argument("--width-fraction", type=float, default=0.1,
  help="fraction of domain to show")
  p.add_argument("plotfile", type=str, nargs=1,
  help="plotfile to plot")

Exec/science/massive_star/analysis/massive_star_sequence.py

@@ -0,0 +1,178 @@
+#!/usr/bin/env python3
+
+import argparse
+import os
+
+import matplotlib
+import matplotlib.pyplot as plt
+import numpy as np
+from mpl_toolkits.axes_grid1 import ImageGrid
+
+import yt
+from yt.frontends.boxlib.api import CastroDataset
+# assume that our data is in CGS
+from yt.units import cm
+
+matplotlib.use('agg')
+
+times = [50, 100, 150, 200, 250]
+
+def find_files(plist):
+
+ mask = np.zeros(len(times))
+ files_to_plot = []
+ for pfile in plist:
+ for k, t in enumerate(times):
+ if mask[k]:
+ continue
+ print(pfile)
+ ds = CastroDataset(pfile)
+ if ds.current_time >= t:
+ files_to_plot.append(pfile)
+ mask[k] = 1.0
+
+ return files_to_plot
+
+
+def make_plot(field, pfiles, *,
+ width_frac=0.1,
+ size=(19.2, 10.8)):
+
+ fig = plt.figure()
+
+ if len(pfiles) > 8:
+ nrows = 3
+ ncols = (len(pfiles) + 1)//3
+ elif len(pfiles) >= 4:
+ nrows = 2
+ ncols = (len(pfiles) + 1)//2
+ else:
+ nrows = 1
+ ncols = len(pfiles)
+
+ grid = ImageGrid(fig, 111, nrows_ncols=(nrows, ncols),
+ axes_pad=0.2, cbar_pad=0.05,
+ label_mode="L", cbar_mode="single")
+
+ # get some metadata
+ ds = CastroDataset(pfiles[0])
+
+ t_drive = 0.0
+ if "[*] castro.drive_initial_convection_tmax" in ds.parameters:
+ t_drive = ds.parameters["[*] castro.drive_initial_convection_tmax"]
+ elif "castro.drive_initial_convection_tmax" in ds.parameters:
+ t_drive = ds.parameters["castro.drive_initial_convection_tmax"]
+ print(t_drive)
+
+ xmin = ds.domain_left_edge[0]
+ xmax = ds.domain_right_edge[0]
+
+ ymin = ds.domain_left_edge[1]
+ ymax = ds.domain_right_edge[1]
+
+ xctr = 0.0 * xmin
+ L_x = xmax - xmin
+
+ yctr = 0.5 * (ymin + ymax)
+ L_y = ymax - ymin
+
+ f = field
+
+ if f == "Temp" or f == "abar":
+ text_color = "white"
+ else:
+ text_color = "black"
+
+ for i in range(nrows * ncols):
+
+ if i < len(pfiles):
+ pf = pfiles[i]
+ else:
+ grid[i].remove()
+ continue
+
+ ds = CastroDataset(pf)
+
+ sp = yt.SlicePlot(ds, "theta", f,
+ center=[xmin + 0.5*width_frac*L_x, yctr, 0.0*cm],
+ width=[width_frac*L_x, width_frac*L_y, 0.0*cm],
+ fontsize="12")
+
+ sp.set_buff_size((2400,2400))
+
+ sp.annotate_text((0.05, 0.05),
+ f"$t - \\tau_\\mathrm{{drive}}$ = {float(ds.current_time) - t_drive:8.2f} s",
+ coord_system="axis",
+ text_args={"color": text_color})
+
+
+ if f == "Ye":
+ sp.set_zlim(f, 0.46, 0.5)
+ sp.set_log(f, False)
+ sp.set_cmap(f, "magma_r")
+ elif f == "abar":
+ sp.set_log(f, False)
+ sp.set_cmap(f, "viridis")
+ elif f == "enuc":
+ sp.set_log(f, True, linthresh=1.e12)
+ sp.set_zlim(f, -1.e20, 1.e20)
+ sp.set_cmap(f, "bwr")
+ elif f == "MachNumber":
+ sp.set_zlim(f, 1.e-4, 0.3)
+ sp.set_cmap(f, "plasma")
+ elif f == "magvel":
+ sp.set_zlim(f, 100.0, 2.e7)
+ sp.set_cmap(f, "viridis")
+ elif f == "magvort":
+ sp.set_cmap(f, "magma")
+ sp.set_zlim(f, 1.e-2, 5)
+
+ if f == "enuc":
+ # now do a contour of NSE
+ if ("boxlib", "in_nse") in ds.derived_field_list:
+ sp.annotate_contour("in_nse", levels=1, clim=(0.5, 0.5), take_log=False,
+ plot_args={"colors": "k", "linewidths": 2})
+
+ sp.set_axes_unit("cm")
+
+ plot = sp.plots[field]
+ plot.figure = fig
+ plot.axes = grid[i].axes
+ plot.cax = grid.cbar_axes[i]
+ if i < len(pfiles)-1:
+ grid[i].axes.xaxis.offsetText.set_visible(False)
+ if i > 0:
+ grid[i].axes.yaxis.offsetText.set_visible(False)
+
+ sp._setup_plots()
+
+ fig.set_size_inches(size)
+ fig.tight_layout()
+ extra = ""
+
+ fig.savefig(f"massive_star_{f}_w{width_frac:04.2f}.pdf", pad_inches=0.1, bbox_inches="tight")
+
+
+if __name__ == "__main__":
+
+ p = argparse.ArgumentParser()
+ p.add_argument("--var", type=str, default="Temp",
+ help="variable to plot")
+ p.add_argument("--vertical", action="store_true",
+ help="plot 2x2 or 1x4")
+ p.add_argument("--width-fraction", type=float, default=0.1,
+ help="fraction of domain to show")
+ p.add_argument("plotfiles", type=str, nargs="+",
+ help="list of plotfiles to plot")
+
+ args = p.parse_args()
+
+ if args.vertical:
+ size = (7.5, 8.5)
+ else:
+ size = (19.2, 8.5)
+
+ plist = find_files(args.plotfiles)
+
+ make_plot(args.var, plist,
+ width_frac=args.width_fraction, size=size)