{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import yt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:32,149 Parameters: current_time = 0.00600002000283\n",
"yt : [INFO ] 2016-10-10 10:54:32,149 Parameters: domain_dimensions = [32 32 32]\n",
"yt : [INFO ] 2016-10-10 10:54:32,150 Parameters: domain_left_edge = [ 0. 0. 0.]\n",
"yt : [INFO ] 2016-10-10 10:54:32,151 Parameters: domain_right_edge = [ 1. 1. 1.]\n",
"yt : [INFO ] 2016-10-10 10:54:32,152 Parameters: cosmological_simulation = 0.0\n"
]
}
],
"source": [
"ds = yt.load('/Users/jillnaiman1/data/IsolatedGalaxy/galaxy0030/galaxy0030')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Parsing Hierarchy : 100%|██████████| 173/173 [00:00<00:00, 32903.21it/s]\n",
"yt : [INFO ] 2016-10-10 10:54:32,176 Gathering a field list (this may take a moment.)\n"
]
},
{
"data": {
"text/plain": [
"[('all', 'creation_time'),\n",
" ('all', 'dynamical_time'),\n",
" ('all', 'metallicity_fraction'),\n",
" ('all', 'particle_index'),\n",
" ('all', 'particle_mass'),\n",
" ('all', 'particle_position_x'),\n",
" ('all', 'particle_position_y'),\n",
" ('all', 'particle_position_z'),\n",
" ('all', 'particle_type'),\n",
" ('all', 'particle_velocity_x'),\n",
" ('all', 'particle_velocity_y'),\n",
" ('all', 'particle_velocity_z'),\n",
" ('enzo', 'Average_creation_time'),\n",
" ('enzo', 'Bx'),\n",
" ('enzo', 'By'),\n",
" ('enzo', 'Bz'),\n",
" ('enzo', 'Cooling_Time'),\n",
" ('enzo', 'Dark_Matter_Density'),\n",
" ('enzo', 'Density'),\n",
" ('enzo', 'Electron_Density'),\n",
" ('enzo', 'Forming_Stellar_Mass_Density'),\n",
" ('enzo', 'Galaxy1Colour'),\n",
" ('enzo', 'Galaxy2Colour'),\n",
" ('enzo', 'HII_Density'),\n",
" ('enzo', 'HI_Density'),\n",
" ('enzo', 'HeIII_Density'),\n",
" ('enzo', 'HeII_Density'),\n",
" ('enzo', 'HeI_Density'),\n",
" ('enzo', 'MBHColour'),\n",
" ('enzo', 'Metal_Density'),\n",
" ('enzo', 'PhiField'),\n",
" ('enzo', 'Phi_pField'),\n",
" ('enzo', 'SFR_Density'),\n",
" ('enzo', 'Star_Particle_Density'),\n",
" ('enzo', 'Temperature'),\n",
" ('enzo', 'TotalEnergy'),\n",
" ('enzo', 'gammaHI'),\n",
" ('enzo', 'kphHI'),\n",
" ('enzo', 'kphHeI'),\n",
" ('enzo', 'kphHeII'),\n",
" ('enzo', 'x-velocity'),\n",
" ('enzo', 'y-velocity'),\n",
" ('enzo', 'z-velocity'),\n",
" ('io', 'creation_time'),\n",
" ('io', 'dynamical_time'),\n",
" ('io', 'metallicity_fraction'),\n",
" ('io', 'particle_index'),\n",
" ('io', 'particle_mass'),\n",
" ('io', 'particle_position_x'),\n",
" ('io', 'particle_position_y'),\n",
" ('io', 'particle_position_z'),\n",
" ('io', 'particle_type'),\n",
" ('io', 'particle_velocity_x'),\n",
" ('io', 'particle_velocity_y'),\n",
" ('io', 'particle_velocity_z')]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.field_list"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[('all', 'age'),\n",
" ('all', 'creation_time'),\n",
" ('all', 'dynamical_time'),\n",
" ('all', 'mesh_id'),\n",
" ('all', 'metallicity_fraction'),\n",
" ('all', 'particle_angular_momentum'),\n",
" ('all', 'particle_angular_momentum_magnitude'),\n",
" ('all', 'particle_angular_momentum_x'),\n",
" ('all', 'particle_angular_momentum_y'),\n",
" ('all', 'particle_angular_momentum_z'),\n",
" ('all', 'particle_cylindrical_velocity_theta'),\n",
" ('all', 'particle_cylindrical_velocity_z'),\n",
" ('all', 'particle_index'),\n",
" ('all', 'particle_mass'),\n",
" ('all', 'particle_ones'),\n",
" ('all', 'particle_position'),\n",
" ('all', 'particle_position_cylindrical_radius'),\n",
" ('all', 'particle_position_cylindrical_theta'),\n",
" ('all', 'particle_position_cylindrical_z'),\n",
" ('all', 'particle_position_relative'),\n",
" ('all', 'particle_position_relative_x'),\n",
" ('all', 'particle_position_relative_y'),\n",
" ('all', 'particle_position_relative_z'),\n",
" ('all', 'particle_position_spherical_phi'),\n",
" ('all', 'particle_position_spherical_radius'),\n",
" ('all', 'particle_position_spherical_theta'),\n",
" ('all', 'particle_position_x'),\n",
" ('all', 'particle_position_y'),\n",
" ('all', 'particle_position_z'),\n",
" ('all', 'particle_radial_velocity'),\n",
" ('all', 'particle_radius'),\n",
" ('all', 'particle_specific_angular_momentum'),\n",
" ('all', 'particle_specific_angular_momentum_x'),\n",
" ('all', 'particle_specific_angular_momentum_y'),\n",
" ('all', 'particle_specific_angular_momentum_z'),\n",
" ('all', 'particle_spherical_position_phi'),\n",
" ('all', 'particle_spherical_position_radius'),\n",
" ('all', 'particle_spherical_position_theta'),\n",
" ('all', 'particle_spherical_velocity_phi'),\n",
" ('all', 'particle_spherical_velocity_radius'),\n",
" ('all', 'particle_spherical_velocity_theta'),\n",
" ('all', 'particle_type'),\n",
" ('all', 'particle_velocity'),\n",
" ('all', 'particle_velocity_cylindrical_radius'),\n",
" ('all', 'particle_velocity_cylindrical_theta'),\n",
" ('all', 'particle_velocity_cylindrical_z'),\n",
" ('all', 'particle_velocity_magnitude'),\n",
" ('all', 'particle_velocity_relative'),\n",
" ('all', 'particle_velocity_relative_x'),\n",
" ('all', 'particle_velocity_relative_y'),\n",
" ('all', 'particle_velocity_relative_z'),\n",
" ('all', 'particle_velocity_spherical_phi'),\n",
" ('all', 'particle_velocity_spherical_radius'),\n",
" ('all', 'particle_velocity_spherical_theta'),\n",
" ('all', 'particle_velocity_x'),\n",
" ('all', 'particle_velocity_y'),\n",
" ('all', 'particle_velocity_z'),\n",
" ('deposit', 'all_cic'),\n",
" ('deposit', 'all_cic_velocity_x'),\n",
" ('deposit', 'all_cic_velocity_y'),\n",
" ('deposit', 'all_cic_velocity_z'),\n",
" ('deposit', 'all_count'),\n",
" ('deposit', 'all_density'),\n",
" ('deposit', 'all_mass'),\n",
" ('deposit', 'all_nn_velocity_x'),\n",
" ('deposit', 'all_nn_velocity_y'),\n",
" ('deposit', 'all_nn_velocity_z'),\n",
" ('deposit', 'io_cic'),\n",
" ('deposit', 'io_cic_velocity_x'),\n",
" ('deposit', 'io_cic_velocity_y'),\n",
" ('deposit', 'io_cic_velocity_z'),\n",
" ('deposit', 'io_count'),\n",
" ('deposit', 'io_density'),\n",
" ('deposit', 'io_mass'),\n",
" ('deposit', 'io_nn_velocity_x'),\n",
" ('deposit', 'io_nn_velocity_y'),\n",
" ('deposit', 'io_nn_velocity_z'),\n",
" ('enzo', 'Average_creation_time'),\n",
" ('enzo', 'Bx'),\n",
" ('enzo', 'By'),\n",
" ('enzo', 'Bz'),\n",
" ('enzo', 'Cooling_Time'),\n",
" ('enzo', 'Dark_Matter_Density'),\n",
" ('enzo', 'Density'),\n",
" ('enzo', 'Electron_Density'),\n",
" ('enzo', 'Forming_Stellar_Mass_Density'),\n",
" ('enzo', 'Galaxy1Colour'),\n",
" ('enzo', 'Galaxy2Colour'),\n",
" ('enzo', 'HII_Density'),\n",
" ('enzo', 'HI_Density'),\n",
" ('enzo', 'HeIII_Density'),\n",
" ('enzo', 'HeII_Density'),\n",
" ('enzo', 'HeI_Density'),\n",
" ('enzo', 'MBHColour'),\n",
" ('enzo', 'Metal_Density'),\n",
" ('enzo', 'PhiField'),\n",
" ('enzo', 'Phi_pField'),\n",
" ('enzo', 'SFR_Density'),\n",
" ('enzo', 'Star_Particle_Density'),\n",
" ('enzo', 'Temperature'),\n",
" ('enzo', 'TotalEnergy'),\n",
" ('enzo', 'cell_volume'),\n",
" ('enzo', 'dx'),\n",
" ('enzo', 'dy'),\n",
" ('enzo', 'dz'),\n",
" ('enzo', 'gammaHI'),\n",
" ('enzo', 'kphHI'),\n",
" ('enzo', 'kphHeI'),\n",
" ('enzo', 'kphHeII'),\n",
" ('enzo', 'path_element_x'),\n",
" ('enzo', 'path_element_y'),\n",
" ('enzo', 'path_element_z'),\n",
" ('enzo', 'vertex_x'),\n",
" ('enzo', 'vertex_y'),\n",
" ('enzo', 'vertex_z'),\n",
" ('enzo', 'x'),\n",
" ('enzo', 'x-velocity'),\n",
" ('enzo', 'y'),\n",
" ('enzo', 'y-velocity'),\n",
" ('enzo', 'z'),\n",
" ('enzo', 'z-velocity'),\n",
" ('gas', 'El_density'),\n",
" ('gas', 'El_fraction'),\n",
" ('gas', 'El_mass'),\n",
" ('gas', 'El_number_density'),\n",
" ('gas', 'H_density'),\n",
" ('gas', 'H_fraction'),\n",
" ('gas', 'H_mass'),\n",
" ('gas', 'H_nuclei_density'),\n",
" ('gas', 'H_number_density'),\n",
" ('gas', 'H_p0_density'),\n",
" ('gas', 'H_p0_fraction'),\n",
" ('gas', 'H_p0_mass'),\n",
" ('gas', 'H_p0_number_density'),\n",
" ('gas', 'H_p1_density'),\n",
" ('gas', 'H_p1_fraction'),\n",
" ('gas', 'H_p1_mass'),\n",
" ('gas', 'H_p1_number_density'),\n",
" ('gas', 'He_density'),\n",
" ('gas', 'He_fraction'),\n",
" ('gas', 'He_mass'),\n",
" ('gas', 'He_nuclei_density'),\n",
" ('gas', 'He_number_density'),\n",
" ('gas', 'He_p0_density'),\n",
" ('gas', 'He_p0_fraction'),\n",
" ('gas', 'He_p0_mass'),\n",
" ('gas', 'He_p0_number_density'),\n",
" ('gas', 'He_p1_density'),\n",
" ('gas', 'He_p1_fraction'),\n",
" ('gas', 'He_p1_mass'),\n",
" ('gas', 'He_p1_number_density'),\n",
" ('gas', 'He_p2_density'),\n",
" ('gas', 'He_p2_fraction'),\n",
" ('gas', 'He_p2_mass'),\n",
" ('gas', 'He_p2_number_density'),\n",
" ('gas', 'alfven_speed'),\n",
" ('gas', 'angular_momentum_magnitude'),\n",
" ('gas', 'angular_momentum_x'),\n",
" ('gas', 'angular_momentum_y'),\n",
" ('gas', 'angular_momentum_z'),\n",
" ('gas', 'averaged_density'),\n",
" ('gas', 'baroclinic_vorticity_magnitude'),\n",
" ('gas', 'baroclinic_vorticity_x'),\n",
" ('gas', 'baroclinic_vorticity_y'),\n",
" ('gas', 'baroclinic_vorticity_z'),\n",
" ('gas', 'cell_mass'),\n",
" ('gas', 'cell_volume'),\n",
" ('gas', 'chandra_emissivity'),\n",
" ('gas', 'cooling_time'),\n",
" ('gas', 'courant_time_step'),\n",
" ('gas', 'cutting_plane_magnetic_field_x'),\n",
" ('gas', 'cutting_plane_magnetic_field_y'),\n",
" ('gas', 'cutting_plane_magnetic_field_z'),\n",
" ('gas', 'cutting_plane_velocity_x'),\n",
" ('gas', 'cutting_plane_velocity_y'),\n",
" ('gas', 'cutting_plane_velocity_z'),\n",
" ('gas', 'cylindrical_radial_velocity'),\n",
" ('gas', 'cylindrical_radial_velocity_absolute'),\n",
" ('gas', 'cylindrical_tangential_velocity'),\n",
" ('gas', 'cylindrical_tangential_velocity_absolute'),\n",
" ('gas', 'dark_matter_density'),\n",
" ('gas', 'density'),\n",
" ('gas', 'density_gradient_magnitude'),\n",
" ('gas', 'density_gradient_x'),\n",
" ('gas', 'density_gradient_y'),\n",
" ('gas', 'density_gradient_z'),\n",
" ('gas', 'dx'),\n",
" ('gas', 'dy'),\n",
" ('gas', 'dynamical_time'),\n",
" ('gas', 'dz'),\n",
" ('gas', 'emission_measure'),\n",
" ('gas', 'entropy'),\n",
" ('gas', 'jeans_mass'),\n",
" ('gas', 'kT'),\n",
" ('gas', 'kinetic_energy'),\n",
" ('gas', 'mach_alfven'),\n",
" ('gas', 'mach_number'),\n",
" ('gas', 'magnetic_energy'),\n",
" ('gas', 'magnetic_field_divergence'),\n",
" ('gas', 'magnetic_field_divergence_absolute'),\n",
" ('gas', 'magnetic_field_magnitude'),\n",
" ('gas', 'magnetic_field_poloidal'),\n",
" ('gas', 'magnetic_field_strength'),\n",
" ('gas', 'magnetic_field_toroidal'),\n",
" ('gas', 'magnetic_field_x'),\n",
" ('gas', 'magnetic_field_y'),\n",
" ('gas', 'magnetic_field_z'),\n",
" ('gas', 'magnetic_pressure'),\n",
" ('gas', 'matter_density'),\n",
" ('gas', 'matter_mass'),\n",
" ('gas', 'mazzotta_weighting'),\n",
" ('gas', 'mean_molecular_weight'),\n",
" ('gas', 'metal_density'),\n",
" ('gas', 'metal_mass'),\n",
" ('gas', 'metallicity'),\n",
" ('gas', 'number_density'),\n",
" ('gas', 'path_element_x'),\n",
" ('gas', 'path_element_y'),\n",
" ('gas', 'path_element_z'),\n",
" ('gas', 'plasma_beta'),\n",
" ('gas', 'pressure'),\n",
" ('gas', 'pressure_gradient_magnitude'),\n",
" ('gas', 'pressure_gradient_x'),\n",
" ('gas', 'pressure_gradient_y'),\n",
" ('gas', 'pressure_gradient_z'),\n",
" ('gas', 'radial_mach_number'),\n",
" ('gas', 'radial_velocity'),\n",
" ('gas', 'radial_velocity_absolute'),\n",
" ('gas', 'shear'),\n",
" ('gas', 'shear_criterion'),\n",
" ('gas', 'shear_mach'),\n",
" ('gas', 'sound_speed'),\n",
" ('gas', 'specific_angular_momentum_magnitude'),\n",
" ('gas', 'specific_angular_momentum_x'),\n",
" ('gas', 'specific_angular_momentum_y'),\n",
" ('gas', 'specific_angular_momentum_z'),\n",
" ('gas', 'sz_kinetic'),\n",
" ('gas', 'szy'),\n",
" ('gas', 'tangential_over_velocity_magnitude'),\n",
" ('gas', 'tangential_velocity'),\n",
" ('gas', 'temperature'),\n",
" ('gas', 'thermal_energy'),\n",
" ('gas', 'velocity_cylindrical_radius'),\n",
" ('gas', 'velocity_cylindrical_theta'),\n",
" ('gas', 'velocity_cylindrical_z'),\n",
" ('gas', 'velocity_divergence'),\n",
" ('gas', 'velocity_divergence_absolute'),\n",
" ('gas', 'velocity_magnitude'),\n",
" ('gas', 'velocity_spherical_phi'),\n",
" ('gas', 'velocity_spherical_radius'),\n",
" ('gas', 'velocity_spherical_theta'),\n",
" ('gas', 'velocity_x'),\n",
" ('gas', 'velocity_y'),\n",
" ('gas', 'velocity_z'),\n",
" ('gas', 'vertex_x'),\n",
" ('gas', 'vertex_y'),\n",
" ('gas', 'vertex_z'),\n",
" ('gas', 'vorticity_growth_magnitude'),\n",
" ('gas', 'vorticity_growth_magnitude_absolute'),\n",
" ('gas', 'vorticity_growth_timescale'),\n",
" ('gas', 'vorticity_growth_x'),\n",
" ('gas', 'vorticity_growth_y'),\n",
" ('gas', 'vorticity_growth_z'),\n",
" ('gas', 'vorticity_magnitude'),\n",
" ('gas', 'vorticity_squared'),\n",
" ('gas', 'vorticity_stretching_magnitude'),\n",
" ('gas', 'vorticity_stretching_x'),\n",
" ('gas', 'vorticity_stretching_y'),\n",
" ('gas', 'vorticity_stretching_z'),\n",
" ('gas', 'vorticity_x'),\n",
" ('gas', 'vorticity_y'),\n",
" ('gas', 'vorticity_z'),\n",
" ('gas', 'x'),\n",
" ('gas', 'xray_emissivity'),\n",
" ('gas', 'y'),\n",
" ('gas', 'z'),\n",
" ('index', 'cell_volume'),\n",
" ('index', 'cylindrical_r'),\n",
" ('index', 'cylindrical_radius'),\n",
" ('index', 'cylindrical_theta'),\n",
" ('index', 'cylindrical_z'),\n",
" ('index', 'disk_angle'),\n",
" ('index', 'dx'),\n",
" ('index', 'dy'),\n",
" ('index', 'dz'),\n",
" ('index', 'grid_indices'),\n",
" ('index', 'grid_level'),\n",
" ('index', 'height'),\n",
" ('index', 'morton_index'),\n",
" ('index', 'ones'),\n",
" ('index', 'ones_over_dx'),\n",
" ('index', 'path_element_x'),\n",
" ('index', 'path_element_y'),\n",
" ('index', 'path_element_z'),\n",
" ('index', 'radius'),\n",
" ('index', 'spherical_phi'),\n",
" ('index', 'spherical_r'),\n",
" ('index', 'spherical_radius'),\n",
" ('index', 'spherical_theta'),\n",
" ('index', 'vertex_x'),\n",
" ('index', 'vertex_y'),\n",
" ('index', 'vertex_z'),\n",
" ('index', 'virial_radius_fraction'),\n",
" ('index', 'x'),\n",
" ('index', 'y'),\n",
" ('index', 'z'),\n",
" ('index', 'zeros'),\n",
" ('io', 'age'),\n",
" ('io', 'creation_time'),\n",
" ('io', 'dynamical_time'),\n",
" ('io', 'mesh_id'),\n",
" ('io', 'metallicity_fraction'),\n",
" ('io', 'particle_angular_momentum'),\n",
" ('io', 'particle_angular_momentum_magnitude'),\n",
" ('io', 'particle_angular_momentum_x'),\n",
" ('io', 'particle_angular_momentum_y'),\n",
" ('io', 'particle_angular_momentum_z'),\n",
" ('io', 'particle_cylindrical_velocity_theta'),\n",
" ('io', 'particle_cylindrical_velocity_z'),\n",
" ('io', 'particle_index'),\n",
" ('io', 'particle_mass'),\n",
" ('io', 'particle_ones'),\n",
" ('io', 'particle_position'),\n",
" ('io', 'particle_position_cylindrical_radius'),\n",
" ('io', 'particle_position_cylindrical_theta'),\n",
" ('io', 'particle_position_cylindrical_z'),\n",
" ('io', 'particle_position_relative'),\n",
" ('io', 'particle_position_relative_x'),\n",
" ('io', 'particle_position_relative_y'),\n",
" ('io', 'particle_position_relative_z'),\n",
" ('io', 'particle_position_spherical_phi'),\n",
" ('io', 'particle_position_spherical_radius'),\n",
" ('io', 'particle_position_spherical_theta'),\n",
" ('io', 'particle_position_x'),\n",
" ('io', 'particle_position_y'),\n",
" ('io', 'particle_position_z'),\n",
" ('io', 'particle_radial_velocity'),\n",
" ('io', 'particle_radius'),\n",
" ('io', 'particle_specific_angular_momentum'),\n",
" ('io', 'particle_specific_angular_momentum_x'),\n",
" ('io', 'particle_specific_angular_momentum_y'),\n",
" ('io', 'particle_specific_angular_momentum_z'),\n",
" ('io', 'particle_spherical_position_phi'),\n",
" ('io', 'particle_spherical_position_radius'),\n",
" ('io', 'particle_spherical_position_theta'),\n",
" ('io', 'particle_spherical_velocity_phi'),\n",
" ('io', 'particle_spherical_velocity_radius'),\n",
" ('io', 'particle_spherical_velocity_theta'),\n",
" ('io', 'particle_type'),\n",
" ('io', 'particle_velocity'),\n",
" ('io', 'particle_velocity_cylindrical_radius'),\n",
" ('io', 'particle_velocity_cylindrical_theta'),\n",
" ('io', 'particle_velocity_cylindrical_z'),\n",
" ('io', 'particle_velocity_magnitude'),\n",
" ('io', 'particle_velocity_relative'),\n",
" ('io', 'particle_velocity_relative_x'),\n",
" ('io', 'particle_velocity_relative_y'),\n",
" ('io', 'particle_velocity_relative_z'),\n",
" ('io', 'particle_velocity_spherical_phi'),\n",
" ('io', 'particle_velocity_spherical_radius'),\n",
" ('io', 'particle_velocity_spherical_theta'),\n",
" ('io', 'particle_velocity_x'),\n",
" ('io', 'particle_velocity_y'),\n",
" ('io', 'particle_velocity_z')]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.derived_field_list"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" def _vorticity_x(field, data):\n",
" f = (data[ftype, \"velocity_z\"][sl_center,sl_right,sl_center] -\n",
" data[ftype, \"velocity_z\"][sl_center,sl_left,sl_center]) \\\n",
" / (div_fac*just_one(data[\"index\", \"dy\"]))\n",
" f -= (data[ftype, \"velocity_y\"][sl_center,sl_center,sl_right] -\n",
" data[ftype, \"velocity_y\"][sl_center,sl_center,sl_left]) \\\n",
" / (div_fac*just_one(data[\"index\", \"dz\"]))\n",
" new_field = data.ds.arr(np.zeros_like(data[ftype, \"velocity_z\"],\n",
" dtype=np.float64),\n",
" f.units)\n",
" new_field[sl_center, sl_center, sl_center] = f\n",
" return new_field\n",
"\n"
]
}
],
"source": [
"print(ds.field_info[\"gas\", \"vorticity_x\"].get_source())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"level\t# grids\t # cells\t # cells^3\n",
"----------------------------------------------\n",
" 0\t 1\t 32768\t 32\n",
" 1\t 8\t 34304\t 33\n",
" 2\t 8\t 181888\t 57\n",
" 3\t 8\t 646968\t 87\n",
" 4\t 15\t 947856\t 99\n",
" 5\t 51\t 874128\t 96\n",
" 6\t 18\t 786328\t 93\n",
" 7\t 28\t 446776\t 77\n",
" 8\t 36\t 209400\t 60\n",
"----------------------------------------------\n",
" \t 173\t 4160416\n",
"\n",
"\n",
"t = 6.00002000e-03 = 1.39768066e+16 s = 4.42898275e+08 years\n",
"\n",
"Smallest Cell:\n",
"\tWidth: 1.221e-04 Mpc\n",
"\tWidth: 1.221e+02 pc\n",
"\tWidth: 2.518e+07 AU\n",
"\tWidth: 3.767e+20 cm\n"
]
}
],
"source": [
"ds.print_stats()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"YTArray([ 1., 1., 1.]) code_length"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.domain_width"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"dd = ds.all_data()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"YTArray([ 4.92775113e-31, 4.94005233e-31, 4.93824694e-31, ...,\n",
" 1.12879234e-25, 1.59561490e-25, 1.09824903e-24]) g/cm**3"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dd[('gas','density')]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:34,217 Max Value is 7.73427e-24 at 0.5040893554687500 0.4998168945312500 0.5001831054687500\n"
]
}
],
"source": [
"sp = ds.sphere(\"max\", (10, \"kpc\"))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"['SpinParameter',\n",
" 'MinLocation',\n",
" 'WeightedVariance',\n",
" 'TotalMass',\n",
" 'AngularMomentumVector',\n",
" 'WeightedAverageQuantity',\n",
" 'SampleAtMaxFieldValues',\n",
" 'TotalQuantity',\n",
" 'CenterOfMass',\n",
" 'BulkVelocity',\n",
" 'Extrema',\n",
" 'MaxLocation',\n",
" 'SampleAtMinFieldValues']"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list(sp.quantities.keys())"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"YTArray([ 3.27209035e+42, 8.58102338e+43]) g"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sp.quantities.total_mass()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Help on TotalMass in module yt.data_objects.derived_quantities object:\n",
"\n",
"class TotalMass(TotalQuantity)\n",
" | Calculates the total mass of the object. Returns a YTArray where the\n",
" | first element is total gas mass and the second element is total particle \n",
" | mass.\n",
" | \n",
" | Examples\n",
" | --------\n",
" | \n",
" | >>> ds = load(\"IsolatedGalaxy/galaxy0030/galaxy0030\")\n",
" | >>> ad = ds.all_data()\n",
" | >>> print ad.quantities.total_mass()\n",
" | \n",
" | Method resolution order:\n",
" | TotalMass\n",
" | TotalQuantity\n",
" | DerivedQuantity\n",
" | yt.utilities.parallel_tools.parallel_analysis_interface.ParallelAnalysisInterface\n",
" | __builtin__.object\n",
" | \n",
" | Methods defined here:\n",
" | \n",
" | __call__(self)\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Methods inherited from TotalQuantity:\n",
" | \n",
" | count_values(self, fields)\n",
" | \n",
" | process_chunk(self, data, fields)\n",
" | \n",
" | reduce_intermediate(self, values)\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Methods inherited from DerivedQuantity:\n",
" | \n",
" | __init__(self, data_source)\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Data and other attributes inherited from DerivedQuantity:\n",
" | \n",
" | num_vals = -1\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Methods inherited from yt.utilities.parallel_tools.parallel_analysis_interface.ParallelAnalysisInterface:\n",
" | \n",
" | get_dependencies(self, fields)\n",
" | \n",
" | partition_index_2d(self, axis)\n",
" | \n",
" | partition_index_3d(self, ds, padding=0.0, rank_ratio=1)\n",
" | \n",
" | partition_index_3d_bisection_list(self)\n",
" | Returns an array that is used to drive _partition_index_3d_bisection,\n",
" | below.\n",
" | \n",
" | partition_region_3d(self, left_edge, right_edge, padding=0.0, rank_ratio=1)\n",
" | Given a region, it subdivides it into smaller regions for parallel\n",
" | analysis.\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Data descriptors inherited from yt.utilities.parallel_tools.parallel_analysis_interface.ParallelAnalysisInterface:\n",
" | \n",
" | __dict__\n",
" | dictionary for instance variables (if defined)\n",
" | \n",
" | __weakref__\n",
" | list of weak references to the object (if defined)\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Data and other attributes inherited from yt.utilities.parallel_tools.parallel_analysis_interface.ParallelAnalysisInterface:\n",
" | \n",
" | comm = None\n",
"\n"
]
}
],
"source": [
"help(sp.quantities.total_mass)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 2.34630700e-59 2.36026596e-59 2.35791707e-59 ..., 1.38554247e-48\n",
" 2.74071287e-48 1.21654068e-46] K**0.5*g**2/cm**6\n"
]
}
],
"source": [
"def _emissivity(field, data):\n",
" newfield = data[('gas','density')]**2*data[('gas','temperature')]**0.5\n",
" return(newfield)\n",
"\n",
"ds.add_field('emissivity', function = _emissivity, units=\"K**0.5*g**2/cm**6\")\n",
"dd = ds.all_data()\n",
"print(dd['emissivity'])\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:35,678 Max Value is 2.48261e+07 at 0.4976196289062500 0.5022583007812500 0.4998168945312500\n",
"yt : [INFO ] 2016-10-10 10:54:35,725 xlim = 0.452264 0.552253\n",
"yt : [INFO ] 2016-10-10 10:54:35,726 ylim = 0.449822 0.549812\n",
"yt : [INFO ] 2016-10-10 10:54:35,727 xlim = 0.452264 0.552253\n",
"yt : [INFO ] 2016-10-10 10:54:35,728 ylim = 0.449822 0.549812\n",
"yt : [INFO ] 2016-10-10 10:54:35,736 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 0.49761963 0.5022583 0.49981689] code_length\n"
]
},
{
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"text/html": [
"
"
],
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""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"max_val, max_loc = ds.find_max(('gas','temperature'))\n",
"print(max_loc)\n",
"s = yt.SlicePlot(ds, \"x\", \"density\", center=max_loc, width=(100,\"kpc\"))\n",
"s.show()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:36,926 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
]
},
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"
],
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""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.zoom(2.5)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:37,618 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
]
},
{
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],
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""
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.set_width((200,\"kpc\"))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/jillnaiman1/yt-conda/lib/python2.7/site-packages/numpy/ma/core.py:827: RuntimeWarning: invalid value encountered in less_equal\n",
" return umath.less_equal(x, self.critical_value)\n"
]
},
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.annotate_contour(('gas','temperature'))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"s.annotate_contour?"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.annotate_contour((\"gas\",\"temperature\"), take_log=False, clim=(1e4,1e6))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:42,868 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
]
},
{
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"text/html": [
"
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],
"text/plain": [
""
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.set_width((400,\"kpc\"))"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"s.annotate_clear()\n",
"s.annotate_velocity()\n",
"s.show()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:47,206 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
]
},
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.zoom(3)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"s.annotate_clear()\n",
"s.annotate_grids()\n",
"s.show()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.annotate_cell_edges()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.annotate_clear()\n",
"s.annotate_title('I am the best plot!')\n",
"s.annotate_text((20, 20), 'Galaxy!', coord_system='plot')"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.annotate_clear()\n",
"s.hide_colorbar()\n",
"s.hide_axes()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:50,955 Projection completed\n",
"yt : [INFO ] 2016-10-10 10:54:50,956 xlim = 0.000000 1.000000\n",
"yt : [INFO ] 2016-10-10 10:54:50,956 ylim = 0.000000 1.000000\n",
"yt : [INFO ] 2016-10-10 10:54:50,957 xlim = 0.000000 1.000000\n",
"yt : [INFO ] 2016-10-10 10:54:50,958 ylim = 0.000000 1.000000\n",
"yt : [INFO ] 2016-10-10 10:54:50,959 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
]
},
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"p = yt.ProjectionPlot(ds,'y','density')\n",
"p.show()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:54:52,236 Projection completed\n",
"yt : [INFO ] 2016-10-10 10:54:52,237 xlim = 0.000000 1.000000\n",
"yt : [INFO ] 2016-10-10 10:54:52,238 ylim = 0.000000 1.000000\n",
"yt : [INFO ] 2016-10-10 10:54:52,239 xlim = 0.000000 1.000000\n",
"yt : [INFO ] 2016-10-10 10:54:52,239 ylim = 0.000000 1.000000\n",
"yt : [INFO ] 2016-10-10 10:54:52,241 Making a fixed resolution buffer of (('gas', 'temperature')) 800 by 800\n"
]
},
{
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"
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],
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""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pw = yt.ProjectionPlot(ds,'y', 'temperature', weight_field='density')\n",
"pw.set_cmap('temperature','jet')\n",
"pw.show()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
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BW9q+TtLOwFcpSfS7AHvZXqvWACMiIiIiIqIjJtUdQIxPkuairOD/PLBEzeFERI+SdDEl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bunCouRuVBArnL775RY3cAbrGZm2yM1mY8QabBI3py7dMfmeCn9t2RYKcy6rCjXiaUem0mZsQrW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BtX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\ncSq7YnSZV2hplC2mw98bdYKCXBWc28J0Mn5eAfLh2I3mG7iYLjf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UOli09diRBSuHfZIl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pN9d0xiuuD5yLpY48a10N1Ef2/JznTJa0zoaTF3ppNxarAzHS9BS53pbEQuxXS6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547bEdJlcVVWPTly/8tnsvwu5ckUY3vAq15kuVkw3l3kdhWhv3GgxneOqwvdND0i0zKsF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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"yt.show_colormaps()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ -8.85748212e+25 -8.51990642e+25 -4.99255795e+28] cm**2/s\n"
]
}
],
"source": [
"sp = ds.sphere(\"center\", (15, \"kpc\"))\n",
"L = sp.quantities.angular_momentum_vector()\n",
"print(L)\n"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:55:05,404 xlim = -0.012499 0.012499\n",
"yt : [INFO ] 2016-10-10 10:55:05,404 ylim = -0.012499 0.012499\n"
]
},
{
"data": {
"text/html": [
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"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"soff = yt.OffAxisSlicePlot(ds, L, \"density\", sp.center, (25,\"kpc\"))\n",
"soff.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"yt : [INFO ] 2016-10-10 10:55:06,236 xlim = -0.012499 0.012499\n",
"yt : [INFO ] 2016-10-10 10:55:06,236 ylim = -0.012499 0.012499\n",
"yt : [INFO ] 2016-10-10 10:55:06,237 zlim = -0.500000 0.500000\n",
"yt : [INFO ] 2016-10-10 10:55:06,237 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
]
},
{
"data": {
"text/html": [
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"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"poff = yt.OffAxisProjectionPlot(ds, L, 'density', sp.center, (25,\"kpc\"))\n",
"poff.show()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
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],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
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],
"source": [
"ph = yt.PhasePlot(sp, \"density\", \"temperature\", \"cell_mass\", weight_field=None)\n",
"ph.show()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
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""
]
},
"metadata": {},
"output_type": "display_data"
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],
"source": [
"ph = yt.PhasePlot(sp, \"density\", \"temperature\", \"H_fraction\", weight_field=None)\n",
"ph.show()"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ph = yt.PhasePlot(sp, ('gas','density'), ('gas','temperature'), ('gas','H_fraction'))\n",
"ph.show()"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"my_disk = ds.disk(ds.domain_center, [0.0, 0.0, 1.0], (10, \"kpc\"), (3, \"kpc\"))\n",
"p1d = yt.ProfilePlot(my_disk, \"density\", \"temperature\")\n",
"p1d.show()"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"
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],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"p1d_acc = yt.ProfilePlot(sp, \"radius\", \"cell_mass\", weight_field=None, accumulation=True)\n",
"p1d_acc.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
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