本文整理匯總了Python中hyperion.model.Model.read方法的典型用法代碼示例。如果您正苦於以下問題：Python Model.read方法的具體用法？Python Model.read怎麽用？Python Model.read使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類hyperion.model.Model的用法示例。
在下文中一共展示了Model.read方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: setup_model
# 需要導入模塊: from hyperion.model import Model [as 別名]
# 或者: from hyperion.model.Model import read [as 別名]
# Resolution in pc:
cli.resolution = 100.0
# Photons per grid cell:
cli.photons_temperature = 1
cli.photons_raytracing = 1
cli.photons_imaging = 1
for cli.case in [1, 2]:
for cli.opticaldepth in [0.256434, 1.28217, 6.41084]:
for cli.mode in ["temperature", "images", "seds"]:
# Setup step:
setup_model(cli);
# Compute step:
file = filename(cli, cli.mode)
model = Model.read(file+".rtin")
model.write("temp.rtin")
model.run(filename=file+".rtout", logfile=file+".hyout", overwrite=True)
# Plotting step:
#TODO: if(cli.mode == "temperature"): visualize_setup + visualize_results => plot_setup
if(cli.mode != "temperature"):
plot_results(cli);
# Export to fits format:
if(cli.mode == "images"):
export_to_fits(cli);
示例2:
# 需要導入模塊: from hyperion.model import Model [as 別名]
# 或者: from hyperion.model.Model import read [as 別名]
import glob
import numpy as np
from hyperion.model import Model
from hyperion.dust import SphericalDust
from hyperion.util.constants import pc
import yaml
settings = yaml.load(open('settings.yml'))
WAV = np.logspace(-1, 3, 45)
for model_path in glob.glob(os.path.join('models', '*_temperature.rtout')):
m = Model.read(model_path, only_initial=False)
m.set_n_initial_iterations(0)
del m.n_photons['initial']
del m.n_photons['last']
i = m.add_peeled_images(sed=True, image=False)
i.set_viewing_angles([0., 30., 60., 90., 120., 150., 180.],
[0., 0., 0., 0., 0., 0., 0.])
i.set_track_origin('basic')
i = m.add_peeled_images(sed=True, image=False)
i.set_viewing_angles([0., 30., 60., 90., 120., 150., 180.],
[0., 0., 0., 0., 0., 0., 0.])
i.set_track_origin('basic')示例3:
# 需要導入模塊: from hyperion.model import Model [as 別名]
# 或者: from hyperion.model.Model import read [as 別名]
import numpy as np
from hyperion.model import Model
from hyperion.dust import SphericalDust
from hyperion.util.constants import pc
for tau_v in [0.1, 1.0, 20.0]:
m = Model.read('bm1_slab_eff_tau{0:05.2f}_temperature.rtout'.format(tau_v), only_initial=False)
m.set_n_initial_iterations(0)
del m.n_photons['initial']
del m.n_photons['last']
i = m.add_peeled_images()
i.set_viewing_angles([0., 30., 60., 90., 120., 150., 180.], [0., 0., 0., 0., 0., 0., 0.])
i.set_image_limits(-7.5 * pc, 7.5 * pc, -7.5 * pc, 7.5 * pc)
i.set_image_size(300, 300)
# Set up monochromatic mode
m.set_monochromatic(True, wavelengths=[0.165, 0.570, 21.3, 161.6])
# Use raytracing
m.set_raytracing(True)
# Set up number of photons
m.set_n_photons(imaging_sources=1e9, imaging_dust=1e9,
raytracing_sources=1, raytracing_dust=1e9)
# Write out and run
m.write('bm1_slab_effgrain_tau_{0:05.2f}_images.rtin'.format(tau_v), overwrite=True)示例4:
# 需要導入模塊: from hyperion.model import Model [as 別名]
# 或者: from hyperion.model.Model import read [as 別名]
import numpy as np
from hyperion.model import Model
from hyperion.dust import SphericalDust
from hyperion.util.constants import au
m = Model.read('bm2_eff_vor_temperature.rtout', only_initial=False)
m.set_n_initial_iterations(0)
del m.n_photons['initial']
del m.n_photons['last']
i = m.add_peeled_images()
i.set_viewing_angles([0., 90., 90., 90., 90., 180.], [0., 0., 90., 180., 270., 0.])
i.set_image_limits(-60 * au, 60 * au, -60 * au, 60 * au)
i.set_image_size(300, 300)
# Set up monochromatic mode
m.set_monochromatic(True, wavelengths=[0.10019, 0.55165, 2.00293, 10.03850, 101.15800])
# Use raytracing
m.set_raytracing(True)
# Set up number of photons
m.set_n_photons(imaging_sources=1e7, imaging_dust=1e7,
raytracing_sources=1, raytracing_dust=1e7)
# Write out and run
m.write('bm2_eff_images.rtin', overwrite=True)
m.run('bm2_eff_images.rtout', mpi=True)