def plot_doc():
"""
"""
img = xFITSImage(os.path.join(XIMPOL_DATA, 'tycho_cmap.fits'))
fig = img.plot(show=False)
xFITSImage.add_label(fig, 'XIPE 300 ks')
plt.show()
def plot_doc():
"""
"""
img = xFITSImage(os.path.join(XIMPOL_DATA, 'tycho_cmap.fits'))
fig = img.plot(show=False)
xFITSImage.add_label(fig, 'XIPE 300 ks')
plt.show()
def plot_doc():
"""
"""
img = xFITSImage(os.path.join(XIMPOL_DATA, 'crab_complex_cmap.fits'))
fig = img.plot(show=False)
xFITSImage.add_label(fig, 'XIPE %d ks' %DURATION/1000.)
plt.show()
def plot_doc():
"""
"""
img = xFITSImage(os.path.join(XIMPOL_DATA, 'casa_cmap.fits'))
fig = img.plot(show=False)
#Option to draw the psf circle on the count map
RAD_PSF = 11/60.
fig.show_circles(350.769, 58.873, RAD_PSF/60., lw=2, color='white')
fig.add_label(0.73,0.90, 'PSF', relative=True, size='x-large',
color='white', horizontalalignment='left')
xFITSImage.add_label(fig, 'XIPE 250 ks')
plt.show()
def display():
"""Display the source model.
"""
from ximpol.utils.matplotlib_ import pyplot as plt
from ximpol.srcmodel.img import xFITSImage
print(ROI_MODEL)
fig = plt.figure('Energy spectrum')
total_spectral_model.plot(logy=True, show=False, label='Total')
nonthermal_spectral_model.plot(logy=True, show=False, label='Non-thermal')
thermal_spectral_model.plot(logy=True, show=False, label='Thermal')
plt.legend(bbox_to_anchor=(0.95, 0.95))
fig = thermal_component.image.plot(show=False)
xFITSImage.add_label(fig, 'Chandra 1.5-3.0 keV')
fig = nonthermal_component.image.plot(show=False)
xFITSImage.add_label(fig, 'Chandra 4.0-6.0 keV')
img = xFITSImage(he_img_file_path)
fig = img.plot(show=False)
polarization_map.build_grid_sample(ROI_MODEL.ra, ROI_MODEL.dec)
polarization_map.overlay_arrows(fig)
plt.show()
def display():
"""Display the source model.
"""
from ximpol.utils.matplotlib_ import pyplot as plt
from ximpol.srcmodel.img import xFITSImage
print(ROI_MODEL)
fig = plt.figure('Energy spectrum')
total_spectral_model.plot(logy=True, show=False, label='Total')
nonthermal_spectral_model.plot(logy=True, show=False, label='Non-thermal')
thermal_spectral_model.plot(logy=True, show=False, label='Thermal')
plt.legend(bbox_to_anchor=(0.95, 0.95))
fig = thermal_component.image.plot(show=False)
xFITSImage.add_label(fig, 'Chandra 1.5-3.0 keV')
fig = nonthermal_component.image.plot(show=False)
xFITSImage.add_label(fig, 'Chandra 4.0-6.0 keV')
img = xFITSImage(he_img_file_path)
fig = img.plot(show=False)
polarization_map.build_grid_sample(ROI_MODEL.ra, ROI_MODEL.dec)
polarization_map.overlay_arrows(fig)
plt.show()
