add a script for the 3D massive star volume rendering

Author: zingale

Exec/science/massive_star/analysis/vol-enuc-massivestar.py

@@ -0,0 +1,111 @@
+#!/usr/bin/env python
+
+# render enuc for the subchandra problem setup
+
+import sys
+
+import matplotlib
+import numpy as np
+
+import yt
+from yt.frontends.boxlib.api import CastroDataset
+from yt.units import cm
+from yt.visualization.volume_rendering.api import Scene, create_volume_source
+
+matplotlib.use('agg')
+
+
+def _enuc_symlog(field, data):
+    f = np.log10(np.abs(data["boxlib", "enuc"]))
+    f[f < 10] = 0.0
+    return np.copysign(f, data["boxlib", "enuc"])
+
+yt.add_field(
+    name = ("boxlib", "enuc_symlog"),
+    display_name = r"\mathrm{log}_{10}(\epsilon_\mathrm{nuc})~ [\mathrm{erg/g/s}]",
+    function = _enuc_symlog,
+    sampling_type = "local",
+    units = None
+)
+
+
+def doit(plotfile):
+
+    ds = CastroDataset(plotfile)
+    ds._periodicity = (True, True, True)
+
+    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)
+
+    field = ('boxlib', 'enuc_symlog')
+    ds._get_field_info(field).take_log = False
+
+    sc = Scene()
+
+
+    vol = create_volume_source(ds.all_data(), field=field)
+    sc.add_source(vol)
+
+
+    # transfer function
+    vals = [-20, -19.5, -19, -18.5, -18, -17, -16, -15, -14,
+            14, 15, 16, 17, 18, 18.5, 19, 19.5, 20]
+    alpha = [0.5, 0.4, 0.4, 0.3, 0.3, 0.2, 0.2, 0.1, 0.1,
+             0.1, 0.1, 0.2, 0.2, 0.3, 0.3, 0.4, 0.4, 0.5]
+    sigma = 0.1
+
+    tf =  yt.ColorTransferFunction((min(vals), max(vals)))
+
+    tf.clear()
+
+    cmap = "coolwarm"
+
+    for v, a in zip(vals, alpha):
+        tf.sample_colormap(v, sigma**2, alpha=a, colormap=cmap)
+
+    sc.get_source(0).transfer_function = tf
+
+    cam = sc.add_camera(ds, lens_type="perspective")
+    cam.resolution = (1920, 1280)
+
+    # view 1
+
+    cam.position = [ds.domain_right_edge[0],
+                    ds.domain_right_edge[1],
+                    ds.domain_right_edge[2]]
+
+    # look toward the center
+    center = 0.5 * (ds.domain_left_edge + ds.domain_right_edge)
+    # set the center in the vertical direction to be the height of the underlying base layer
+
+    normal = (center - cam.position)
+    normal /= np.sqrt(normal.dot(normal))
+
+    cam.switch_orientation(normal_vector=normal, north_vector=[0., 0., 1.])
+    cam.set_width(ds.domain_width)
+    cam.zoom(5.0)
+    sc.camera = cam
+
+    sc.save_annotated(f"{plotfile}_enuc_annotated.png",
+                      label_fontsize="18",
+                      label_fmt="%.1f",
+                      sigma_clip=3,
+                      text_annotate=[[(0.05, 0.05),
+                                      f"$t - \\tau_\\mathrm{{drive}}$ = {float(ds.current_time) - t_drive:6.1f} s",
+                                      dict(horizontalalignment="left", fontsize="18")]])
+
+
+if __name__ == "__main__":
+
+    # Choose a field
+    plotfile = ""
+
+
+    try: plotfile = sys.argv[1]
+    except: sys.exit("ERROR: no plotfile specified")
+
+    doit(plotfile)