def doit(plotfile): ds = yt.load(plotfile) ds.periodicity = (True, True, True) field = ('boxlib', 'radial_velocity') ds._get_field_info(field).take_log = False sc = Scene() # add a volume: select a sphere center = (0, 0, 0) R = (5.e8, 'cm') dd = ds.sphere(center, R) vol = VolumeSource(dd, field=field) vol.use_ghost_zones = True sc.add_source(vol) # transfer function vals = [-5.e6, -2.5e6, -1.25e6, 1.25e6, 2.5e6, 5.e6] sigma = 3.e5 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "coolwarm" for v in vals: tf.sample_colormap(v, sigma**2, colormap=cm) #, alpha=0.2) sc.get_source(0).transfer_function = tf cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1280, 720) cam.position = 1.5 * ds.arr(np.array([5.e8, 5.e8, 5.e8]), 'cm') # look toward the center -- we are dealing with an octant center = ds.domain_left_edge 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) #sc.annotate_axes() #sc.annotate_domain(ds) sc.render() sc.save("subchandra_test.png", sigma_clip=6.0) sc.save_annotated( "subchandra_test_annotated.png", text_annotate=[[(0.05, 0.05), "t = {}".format(ds.current_time.d), dict(horizontalalignment="left")], [(0.5, 0.95), "Maestro simulation of He convection on a white dwarf", dict(color="y", fontsize="24", horizontalalignment="center")]])
def doit(plotfile): ds = yt.load(plotfile) ds.periodicity = (True, True, True) field = ('gas', 'velocity_z') ds._get_field_info(field).take_log = False sc = Scene() # add a volume: select a sphere #center = (0, 0, 0) #R = (5.e8, 'cm') #dd = ds.sphere(center, R) vol = VolumeSource(ds, field=field) vol.use_ghost_zones = True sc.add_source(vol) # transfer function vals = [-1.e7, -5.e6, 5.e6, 1.e7] sigma = 5.e5 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "coolwarm" for v in vals: tf.sample_colormap(v, sigma**2, colormap=cm) #, alpha=0.2) sc.get_source(0).transfer_function = tf cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1920, 1080) center = 0.5*(ds.domain_left_edge + ds.domain_right_edge) cam.position = [2.5*ds.domain_right_edge[0], 2.5*ds.domain_right_edge[1], center[2]+0.25*ds.domain_right_edge[2]] # look toward the center -- we are dealing with an octant 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) sc.camera = cam #sc.annotate_axes(alpha=0.05) #sc.annotate_domain(ds, color=np.array([0.05, 0.05, 0.05, 0.05])) #sc.annotate_grids(ds, alpha=0.05) sc.render() sc.save("{}_radvel".format(plotfile), sigma_clip=4.0) sc.save_annotated("{}_radvel_annotated.png".format(plotfile), sigma_clip=4.0, text_annotate=[[(0.05, 0.05), "t = {}".format(ds.current_time.d), dict(horizontalalignment="left")], [(0.5,0.95), "Maestro simulation of convection in a mixed H/He XRB", dict(color="y", fontsize="24", horizontalalignment="center")]])
# Add temperature field = "temperature" vol2 = create_volume_source(ds, field=field) vol2.use_ghost_zones = True tf = yt.ColorTransferFunction([4.5, 7.5]) tf.clear() tf.add_layers(4, 0.02, alpha=np.logspace(-0.2, 0, 4), colormap="autumn") vol2.set_transfer_function(tf) sc.add_source(vol2) # setup the camera cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1600, 900) cam.zoom(20.0) # Render the image. sc.render() sc.save_annotated( "render_two_fields_tf.png", sigma_clip=6.0, tf_rect=[0.88, 0.15, 0.03, 0.8], render=False, )
def vol_render_density(outfile, ds): """Volume render the density given a yt dataset.""" import numpy as np import yt import matplotlib matplotlib.use('agg') from yt.visualization.volume_rendering.api import Scene, VolumeSource import matplotlib.pyplot as plt ds.periodicity = (True, True, True) field = ('boxlib', 'density') ds._get_field_info(field).take_log = True sc = Scene() # Add a volume: select a sphere vol = VolumeSource(ds, field=field) vol.use_ghost_zones = True sc.add_source(vol) # Transfer function vals = [-1, 0, 1, 2, 3, 4, 5, 6, 7] sigma = 0.1 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "spectral" for v in vals: if v < 3: alpha = 0.1 else: alpha = 0.5 tf.sample_colormap(v, sigma**2, colormap=cm, alpha=alpha) sc.get_source(0).transfer_function = tf cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1920, 1080) center = 0.5 * (ds.domain_left_edge + ds.domain_right_edge) width = ds.domain_width # Set the camera so that we're looking down on the xy plane from a 45 # degree angle. We reverse the y-coordinate since yt seems to use the # opposite orientation convention to us (where the primary should be # on the left along the x-axis). We'll scale the camera position based # on a zoom factor proportional to the width of the domain. zoom_factor = 0.75 cam_position = np.array([ center[0], center[1] - zoom_factor * width[1], center[2] + zoom_factor * width[2] ]) cam.position = zoom_factor * ds.arr(cam_position, 'cm') # Set the normal vector so that we look toward the center. normal = (center - cam.position) normal /= np.sqrt(normal.dot(normal)) cam.switch_orientation(normal_vector=normal, north_vector=[0.0, 0.0, 1.0]) cam.set_width(width) # Render the image. sc.render() # Save the image without annotation. sc.save(outfile, sigma_clip=6.0) # Save the image with a colorbar. sc.save_annotated(outfile.replace(".png", "_colorbar.png"), sigma_clip=6.0) # Save the image with a colorbar and the current time. sc.save_annotated(outfile.replace(".png", "_colorbar_time.png"), sigma_clip=6.0, text_annotate=[[ (0.05, 0.925), "t = {:.2f} s".format(float(ds.current_time.d)), dict(horizontalalignment="left", fontsize="20") ]])
def doit(plotfile): ds = yt.load(plotfile) ds.periodicity = (True, True, True) field = ('boxlib', 'radial_velocity') ds._get_field_info(field).take_log = False sc = Scene() # add a volume: select a sphere center = (0, 0, 0) R = (5.e8, 'cm') dd = ds.sphere(center, R) vol = VolumeSource(dd, field=field) vol.use_ghost_zones = True sc.add_source(vol) # transfer function vals = [-5.e6, -2.5e6, -1.25e6, 1.25e6, 2.5e6, 5.e6] sigma = 3.e5 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "coolwarm" for v in vals: tf.sample_colormap(v, sigma**2, colormap=cm) #, alpha=0.2) sc.get_source(0).transfer_function = tf cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1280, 720) cam.position = 1.5*ds.arr(np.array([5.e8, 5.e8, 5.e8]), 'cm') # look toward the center -- we are dealing with an octant center = ds.domain_left_edge 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) #sc.annotate_axes() #sc.annotate_domain(ds) sc.render() sc.save("subchandra_test.png", sigma_clip=6.0) sc.save_annotated("subchandra_test_annotated.png", text_annotate=[[(0.05, 0.05), "t = {}".format(ds.current_time.d), dict(horizontalalignment="left")], [(0.5,0.95), "Maestro simulation of He convection on a white dwarf", dict(color="y", fontsize="24", horizontalalignment="center")]])
def doit(plotfile): ds = yt.load(plotfile) ds.periodicity = (True, True, True) cm = "coolwarm" field = ('boxlib', 'density') ds._get_field_info(field).take_log = True sc = Scene() # add a volume: select a sphere vol = VolumeSource(ds, field=field) sc.add_source(vol) # transfer function vals = [-1, 0, 1, 2, 4, 5, 6, 7] #vals = [0.1, 1.0, 10, 100., 1.e4, 1.e5, 1.e6, 1.e7] sigma = 0.1 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "coolwarm" cm = "spectral" for v in vals: if v < 4: alpha = 0.1 else: alpha = 0.5 tf.sample_colormap(v, sigma**2, colormap=cm, alpha=alpha) sc.get_source(0).transfer_function = tf cam = Camera(ds, lens_type="perspective") cam.resolution = (1280, 720) cam.position = 1.5*ds.arr(np.array([0.0, 5.e9, 5.e9]), 'cm') # look toward the center -- we are dealing with an octant center = 0.5*(ds.domain_left_edge + ds.domain_right_edge) 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) sc.camera = cam #sc.annotate_axes() #sc.annotate_domain(ds) pid = plotfile.split("plt")[1] sc.render() sc.save("wdmerger_{}.png".format(pid), sigma_clip=6.0) sc.save_annotated("wdmerger_annotated_{}.png".format(pid), text_annotate=[[(0.05, 0.05), "t = {:.3f}".format(float(ds.current_time.d)), dict(horizontalalignment="left")], [(0.5,0.95), "Castro simulation of merging white dwarfs", dict(color="y", fontsize="24", horizontalalignment="center")]])
def doit(plotfile): ds = yt.load(plotfile) ds.periodicity = (True, True, True) field = ('boxlib', 'density') ds._get_field_info(field).take_log = True sc = Scene() # add a volume: select a sphere vol = VolumeSource(ds, field=field) vol.use_ghost_zones = True sc.add_source(vol) # transfer function vals = [-1, 0, 1, 2, 3, 4, 5, 6, 7] #vals = [0.1, 1.0, 10, 100., 1.e4, 1.e5, 1.e6, 1.e7] sigma = 0.1 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "coolwarm" cm = "spectral" for v in vals: if v < 3: alpha = 0.1 else: alpha = 0.5 tf.sample_colormap(v, sigma**2, colormap=cm, alpha=alpha) sc.get_source(0).transfer_function = tf cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1920, 1080) cam.position = 1.5 * ds.arr(np.array([0.0, 5.e9, 5.e9]), 'cm') # look toward the center -- we are dealing with an octant center = 0.5 * (ds.domain_left_edge + ds.domain_right_edge) 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) #sc.annotate_axes() #sc.annotate_domain(ds) pid = plotfile.split("plt")[1] sc.render() sc.save("wdmerger_{}_new.png".format(pid), sigma_clip=6.0) sc.save_annotated( "wdmerger_annotated_{}_new.png".format(pid), text_annotate= [[(0.05, 0.05), "t = {:.3f} s".format(float(ds.current_time.d)), dict(horizontalalignment="left")], [(0.5, 0.95), "Castro simulation of merging white dwarfs (0.6 $M_\odot$ + 0.9 $M_\odot$)", dict(color="y", fontsize="22", horizontalalignment="center")], [(0.95, 0.05), "M. Katz et al.", dict(color="w", fontsize="16", horizontalalignment="right")]])
def doit(plotfile): ds = CastroDataset(plotfile) ds._periodicity = (True, True, True) field = ('boxlib', 'enuc') ds._get_field_info(field).take_log = True sc = Scene() # add a volume: select a sphere #center = (0, 0, 0) #R = (5.e8, 'cm') #dd = ds.sphere(center, R) vol = create_volume_source(ds.all_data(), field=field) sc.add_source(vol) # transfer function vals = [16.5, 17.0, 17.5, 18.0, 18.5, 19.0, 19.5] sigma = 0.1 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cmap = "viridis" for v in vals: if v < 19.0: alpha = 0.25 else: alpha = 0.75 tf.sample_colormap(v, sigma**2, alpha=alpha, 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 = [ 0.75 * ds.domain_right_edge[0], 0.5 * (ds.domain_left_edge[1] + ds.domain_right_edge[1]), ds.domain_right_edge[2] ] # + 0.25 * (ds.domain_right_edge[2] - ds.domain_left_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 center[-1] = 2000 * cm normal = (center - cam.position) normal /= np.sqrt(normal.dot(normal)) cam.switch_orientation(normal_vector=normal, north_vector=[0., 0., 1.]) cam.set_width(3 * ds.domain_width) cam.zoom(3.0) sc.camera = cam sc.save_annotated( "{}_Hnuc_annotated_side.png".format(plotfile), text_annotate=[[(0.05, 0.05), "t = {}".format(ds.current_time.d), dict(horizontalalignment="left")], [(0.5, 0.95), "Castro simulation of XRB flame spreading", dict(color="y", fontsize="24", horizontalalignment="center")]]) # view 2 dx = ds.domain_right_edge[0] - ds.domain_left_edge[0] cam.position = [ 0.5 * (ds.domain_left_edge[0] + ds.domain_right_edge[0]) + 0.0001 * dx, 0.5 * (ds.domain_left_edge[1] + ds.domain_right_edge[1]), ds.domain_right_edge[2] ] # + 0.25 * (ds.domain_right_edge[2] - ds.domain_left_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 center[-1] = 2000 * cm normal = (center - cam.position) normal /= np.sqrt(normal.dot(normal)) cam.switch_orientation(normal_vector=normal, north_vector=[0., 0., 1.]) cam.set_width(3 * ds.domain_width) cam.zoom(0.6) sc.camera = cam sc.save_annotated( "{}_Hnuc_annotated_top.png".format(plotfile), text_annotate=[[(0.05, 0.05), "t = {}".format(ds.current_time.d), dict(horizontalalignment="left")], [(0.5, 0.95), "Castro simulation of XRB flame spreading", dict(color="y", fontsize="24", horizontalalignment="center")]])
def doit(plotfile): ds = yt.load(plotfile) ds.periodicity = (True, True, True) field = ('gas', 'velocity_z') ds._get_field_info(field).take_log = False sc = Scene() # add a volume: select a sphere #center = (0, 0, 0) #R = (5.e8, 'cm') #dd = ds.sphere(center, R) vol = VolumeSource(ds, field=field) vol.use_ghost_zones = True sc.add_source(vol) # transfer function vals = [-1.e7, -5.e6, 5.e6, 1.e7] sigma = 5.e5 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "coolwarm" for v in vals: tf.sample_colormap(v, sigma**2, colormap=cm) #, alpha=0.2) sc.get_source(0).transfer_function = tf cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1920, 1080) center = 0.5 * (ds.domain_left_edge + ds.domain_right_edge) cam.position = [ 2.5 * ds.domain_right_edge[0], 2.5 * ds.domain_right_edge[1], center[2] + 0.25 * ds.domain_right_edge[2] ] # look toward the center -- we are dealing with an octant 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) sc.camera = cam #sc.annotate_axes(alpha=0.05) #sc.annotate_domain(ds, color=np.array([0.05, 0.05, 0.05, 0.05])) #sc.annotate_grids(ds, alpha=0.05) sc.render() sc.save("{}_radvel".format(plotfile), sigma_clip=4.0) sc.save_annotated( "{}_radvel_annotated.png".format(plotfile), sigma_clip=4.0, text_annotate=[[(0.05, 0.05), "t = {}".format(ds.current_time.d), dict(horizontalalignment="left")], [(0.5, 0.95), "Maestro simulation of convection in a mixed H/He XRB", dict(color="y", fontsize="24", horizontalalignment="center")]])
def doit(plotfile): ds = yt.load(plotfile) ds.periodicity = (True, True, True) field = ('boxlib', 'radial_velocity') ds._get_field_info(field).take_log = False sc = Scene() # add a volume: select a sphere #center = (0, 0, 0) #R = (5.e8, 'cm') #dd = ds.sphere(center, R) vol = VolumeSource(ds, field=field) vol.use_ghost_zones = True sc.add_source(vol) # transfer function vals = [-5.e6, -2.5e6, -1.25e6, 1.25e6, 2.5e6, 5.e6] sigma = 3.e5 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "coolwarm" for v in vals: tf.sample_colormap(v, sigma**2, colormap=cm) #, alpha=0.2) sc.get_source(0).transfer_function = tf cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1080, 1080) cam.position = 1.0*ds.domain_right_edge # look toward the center -- we set this depending on whether the plotfile # indicates it was an octant try: octant = ds.parameters["octant"] except: octant = True if octant: center = ds.domain_left_edge else: center = 0.5*(ds.domain_left_edge + ds.domain_right_edge) # unit vector connecting center and camera 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) #sc.annotate_axes(alpha=0.05) #sc.annotate_domain(ds, color=np.array([0.05, 0.05, 0.05, 0.05])) #sc.annotate_grids(ds, alpha=0.05) sc.render() sc.save("{}_radvel".format(plotfile), sigma_clip=6.0) sc.save_annotated("{}_radvel_annotated.png".format(plotfile), text_annotate=[[(0.05, 0.05), "t = {}".format(ds.current_time.d), dict(horizontalalignment="left")], [(0.5,0.95), "Maestro simulation of He convection on a white dwarf", dict(color="y", fontsize="24", horizontalalignment="center")]])
def doit(plotfile): ds = yt.load(plotfile) ds.periodicity = (True, True, True) field = ('boxlib', 'Hnuc') ds._get_field_info(field).take_log = True sc = Scene() # add a volume: select a sphere #center = (0, 0, 0) #R = (5.e8, 'cm') #dd = ds.sphere(center, R) vol = VolumeSource(ds, field=field) sc.add_source(vol) # transfer function vals = [14, 14.5, 15, 15.5, 16] sigma = 0.1 tf = yt.ColorTransferFunction((min(vals), max(vals))) tf.clear() cm = "viridis" for v in vals: if v < 15.5: alpha = 0.1 else: alpha = 0.75 tf.sample_colormap(v, sigma**2, alpha=alpha, colormap=cm) sc.get_source(0).transfer_function = tf cam = sc.add_camera(ds, lens_type="perspective") cam.resolution = (1080, 1080) cam.position = 1.0 * ds.domain_right_edge # look toward the center -- we are dealing with an octant center = ds.domain_left_edge normal = (center - cam.position) normal /= np.sqrt(normal.dot(normal)) cam.switch_orientation(normal_vector=normal, north_vector=[0., 0., 1.]) cam.set_width(0.5 * ds.domain_width) cam.zoom(1.5) sc.camera = cam #sc.annotate_axes(alpha=0.05) #sc.annotate_domain(ds, color=np.array([0.05, 0.05, 0.05, 0.05])) #sc.annotate_grids(ds, alpha=0.05) sc.render() sc.save("{}_Hnuc".format(plotfile), sigma_clip=4.0) sc.save_annotated( "{}_Hnuc_annotated.png".format(plotfile), text_annotate=[[(0.05, 0.05), "t = {}".format(ds.current_time.d), dict(horizontalalignment="left")], [(0.5, 0.95), "MAESTROeX simulation of ECSN convection", dict(color="y", fontsize="24", horizontalalignment="center")]])