def test_fill_cube():
filename = gammapy_extra.filename('test_datasets/background/bg_cube_model_test1.fits')
array = Cube.read(filename, format='table', scheme='bg_cube')
array.data = Quantity(np.zeros_like(array.data.value), 'u')
print(type(array.data))
dir = str(gammapy_extra.dir) + '/datasets/hess-crab4-hd-hap-prod2'
data_store = DataStore.from_dir(dir)
ev_list = data_store.load_all('events')
array.fill_events(ev_list)
array.write('test_background.fits', format='image', clobber=True)
def test_fill_cube():
filename = gammapy_extra.filename(
'test_datasets/background/bg_cube_model_test1.fits')
array = Cube.read(filename, format='table', scheme='bg_cube')
array.data = Quantity(np.zeros_like(array.data.value), 'u')
print(type(array.data))
dir = str(gammapy_extra.dir) + '/datasets/hess-crab4-hd-hap-prod2'
data_store = DataStore.from_dir(dir)
ev_list = data_store.load_all('events')
array.fill_events(ev_list)
array.write('test_background.fits', format='image', clobber=True)
"""Plot cube background model and store it in fits.
The 'image' format file can be viewed with ds9.
"""
import matplotlib.pyplot as plt
from astropy.units import Quantity
from astropy.coordinates import Angle
from gammapy.background import Cube
from gammapy import datasets
filename = datasets.get_path('../test_datasets/background/bg_cube_model_test.fits',
location='remote')
bg_cube_model = Cube.read(filename, format='table', scheme='bg_cube')
bg_cube_model.plot_image(energy=Quantity(2., 'TeV'))
bg_cube_model.plot_spectrum(coord=Angle([0., 0.], 'degree'))
outname = 'cube_background_model'
bg_cube_model.write('{}_bin_table.fits'.format(outname), format='table', clobber=True)
bg_cube_model.write('{}_image.fits'.format(outname), format='image', clobber=True)
plt.show()
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from astropy.units import Quantity
from astropy.coordinates import Angle
from gammapy.background import Cube
from gammapy.datasets import gammapy_extra
filename = gammapy_extra.filename('test_datasets/background/bg_cube_model_test1.fits')
bg_cube_model = Cube.read(filename, format='table', scheme='bg_cube', hdu='BACKGROUND')
fig, axes = plt.subplots(nrows=1, ncols=3)
fig.set_size_inches(16, 5., forward=True)
# plot images
bg_cube_model.plot_image(energy=Quantity(0.5, 'TeV'), ax=axes[0],
style_kwargs=dict(norm=LogNorm()))
bg_cube_model.plot_image(energy=Quantity(50., 'TeV'), ax=axes[1],
style_kwargs=dict(norm=LogNorm()))
# plot spectra
bg_cube_model.plot_spectrum(coord=Angle([0., 0.], 'degree'), ax=axes[2],
style_kwargs=dict(label='(0, 0) deg'))
bg_cube_model.plot_spectrum(coord=Angle([2., 2.], 'degree'), ax=axes[2],
style_kwargs=dict(label='(2, 2) deg'))
axes[2].set_title('')
axes[2].legend()
plt.tight_layout()
plt.show()
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from astropy.units import Quantity
from astropy.coordinates import Angle
from gammapy.background import Cube
from gammapy import datasets
filename = datasets.get_path(
'../test_datasets/background/bg_cube_model_test1.fits', location='remote')
bg_cube_model = Cube.read(filename, format='table', scheme='bg_cube')
fig, axes = plt.subplots(nrows=1, ncols=3)
fig.set_size_inches(16, 5., forward=True)
# plot images
bg_cube_model.plot_image(energy=Quantity(0.5, 'TeV'),
ax=axes[0],
style_kwargs=dict(norm=LogNorm()))
bg_cube_model.plot_image(energy=Quantity(50., 'TeV'),
ax=axes[1],
style_kwargs=dict(norm=LogNorm()))
# plot spectra
bg_cube_model.plot_spectrum(coord=Angle([0., 0.], 'degree'),
ax=axes[2],
style_kwargs=dict(label='(0, 0) deg'))
bg_cube_model.plot_spectrum(coord=Angle([2., 2.], 'degree'),
ax=axes[2],
style_kwargs=dict(label='(2, 2) deg'))
axes[2].set_title('')
axes[2].legend()