def make_image():
table = Table.read('acceptance_curve.fits')
table.pprint()
center = SkyCoord(83.63, 22.01, unit='deg').galactic
counts_image = make_empty_image(nxpix=1000, nypix=1000, binsz=0.01, xref=center.l.deg, yref=center.b.deg,
proj='TAN')
bkg_image = counts_image.copy()
data_store = DataStore.from_dir('$GAMMAPY_EXTRA/datasets/hess-crab4-hd-hap-prod2')
for events in data_store.load_all("events"):
center = events.pointing_radec.galactic
livetime = events.observation_live_time_duration
solid_angle = Angle(0.01, "deg") ** 2
counts_image.data += bin_events_in_image(events, counts_image).data
#interp_param = dict(bounds_error=False, fill_value=None)
acc_hdu = fill_acceptance_image(bkg_image.header, center, table["offset"], table["Acceptance"])
acc = Quantity(acc_hdu.data, table["Acceptance"].unit) * solid_angle * livetime
bkg_image.data += acc.decompose()
print(acc.decompose().sum())
counts_image.writeto("counts_image.fits", clobber=True)
bkg_image.writeto("bkg_image.fits", clobber=True)
"""Produces an image from 1FHL catalog point sources.
"""
from gammapy.datasets import FermiGalacticCenter
from gammapy.image import make_empty_image, catalog_image
# Create image of defined size
reference = make_empty_image(nxpix=3600, nypix=1800, binsz=0.1)
psf_file = FermiGalacticCenter.psf()
# Create image
image = catalog_image(reference,
psf,
catalog='1FHL',
source_type='point',
total_flux='True')
hdu = image.to_fits()[0]
hdu.writeto('Image_1FHL.fits', clobber=True)
"""Produces an image from 1FHL catalog point sources.
"""
from gammapy.datasets import FermiGalacticCenter
from gammapy.image import make_empty_image, catalog_image
# Create image of defined size
reference = make_empty_image(nxpix=3600, nypix=1800, binsz=0.1)
psf_file = FermiGalacticCenter.psf()
# Create image
image = catalog_image(reference, psf, catalog='1FHL', source_type='point',
total_flux='True')
hdu = image.to_fits()[0]
hdu.writeto('Image_1FHL.fits', clobber=True)
"""Produces an image from 1FHL catalog point sources.
"""
from aplpy import FITSFigure
from gammapy.datasets import FermiGalacticCenter
from gammapy.image import make_empty_image, catalog_image
from gammapy.irf import EnergyDependentTablePSF
# Create image of defined size
reference = make_empty_image(nxpix=300, nypix=100, binsz=1)
psf_file = FermiGalacticCenter.filenames()['psf']
psf = EnergyDependentTablePSF.read(psf_file)
# Create image
image = catalog_image(reference,
psf,
catalog='1FHL',
source_type='point',
total_flux='True')
# Plot
fig = FITSFigure(image.to_fits()[0])
fig.show_grayscale(stretch='linear', interpolation='none')
fig.add_colorbar()
"""Produces an image from 1FHL catalog point sources.
"""
from aplpy import FITSFigure
from gammapy.datasets import FermiGalacticCenter
from gammapy.image import make_empty_image, catalog_image
from gammapy.irf import EnergyDependentTablePSF
# Create image of defined size
reference = make_empty_image(nxpix=300, nypix=100, binsz=1)
psf_file = FermiGalacticCenter.filenames()['psf']
psf = EnergyDependentTablePSF.read(psf_file)
# Create image
image = catalog_image(reference, psf, catalog='1FHL', source_type='point',
total_flux='True')
# Plot
fig = FITSFigure(image.to_fits()[0])
fig.show_grayscale(stretch='linear', interpolation='none')
fig.add_colorbar()
from astropy.coordinates import SkyCoord, Angle
from astropy.wcs import WCS
from gammapy.region import find_reflected_regions, SkyCircleRegion
from gammapy.image import ExclusionMask, make_empty_image
from gammapy.utils.testing import requires_data
hdu = make_empty_image(nxpix=801, nypix=701, binsz=0.01,
coordsys='CEL', xref=83.2, yref=22.7)
mask = ExclusionMask.create_random(hdu, n=8, min_rad=30, max_rad=80)
pos = SkyCoord(80.2, 23.5, unit='deg', frame='icrs')
radius = Angle(0.4, 'deg')
test_region = SkyCircleRegion(pos=pos, radius=radius)
center = SkyCoord(82.8, 22.5, unit='deg', frame='icrs')
regions = find_reflected_regions(test_region, center, mask)
import matplotlib.pyplot as plt
wcs = WCS(hdu.header)
fig = plt.figure(figsize=(8, 5), dpi=80)
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], projection=wcs)
mask.plot(ax)
for reg in regions:
patch = reg.plot(ax, facecolor='red')
ax.add_patch(patch)
patch2 = test_region.plot(ax, facecolor='blue')
ax.add_patch(patch2)
plt.show()
# We use [APLPy](http://aplpy.github.io/) to plot an empty sky image showing the locations of the sources as markers.
#
# This is a bit complicated because we don't have an image or WCS to instantiate the [aplpy.FITSFigure](http://aplpy.readthedocs.org/en/stable/api/aplpy.FITSFigure.html).
# Here we'll use the [gammapy.image.make_empty_image](https://gammapy.readthedocs.org/en/latest/api/gammapy.image.make_empty_image.html) utility function to make an empty image to plot on.
# In[14]:
from gammapy.image import make_empty_image
from aplpy import FITSFigure
# In[15]:
image = make_empty_image(nxpix=62, nypix=12, binsz=1)
figure = FITSFigure(image)
# This call to `show_grayscale` is a workaround to get the Figure stretch correct.
figure.show_grayscale(vmin=-1, vmax=0)
for catalog in catalogs:
figure.show_markers(catalog['GLON'], catalog['GLAT'],
facecolor=catalog.meta['color'],
alpha=0.5,
label=catalog.meta['name'],
)
figure.ticks.set_xspacing(5)
figure.ticks.set_yspacing(2)
figure.tick_labels.set_xformat('dd')
figure.tick_labels.set_yformat('dd')
figure.axis_labels.set_xtext('GLON (deg)')
figure.axis_labels.set_ytext('GLAT (deg)')
