from astropy.coordinates import SkyCoord, Angle
from regions import CircleSkyRegion
from gammapy.image import SkyMask
from gammapy.background import find_reflected_regions
mask = SkyMask.empty(name='Exclusion Mask',
nxpix=801,
nypix=701,
binsz=0.01,
coordsys='CEL',
xref=83.2,
yref=22.7)
mask.fill_random_circles(n=8, min_rad=30, max_rad=80)
pos = SkyCoord(80.2, 23.5, unit='deg')
radius = Angle(0.4, 'deg')
test_region = CircleSkyRegion(pos, radius)
center = SkyCoord(82.8, 22.5, unit='deg')
regions = find_reflected_regions(test_region, center, mask)
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(8, 5), dpi=80)
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], projection=mask.wcs)
mask.plot(ax, fig)
for reg in regions:
reg.plot(ax, facecolor='red')
test_region.plot(ax, facecolor='blue')
plt.show()
from regions import (
make_example_dataset,
CircleSkyRegion,
)
import matplotlib.pyplot as plt
config = dict(crpix=(18, 9), cdelt=(-10, 10), shape=(18, 36))
dataset = make_example_dataset(data='simulated', config=config)
wcs = dataset.wcs
fig = plt.figure()
ax = fig.add_axes([0.15, 0.1, 0.8, 0.8], projection=wcs)
ax.set_xlim(-0.5, dataset.config['shape'][1] - 0.5)
ax.set_ylim(-0.5, dataset.config['shape'][0] - 0.5)
ax.imshow(dataset.image.data, cmap='gray', vmin=0, vmax=1,
interpolation='nearest', origin='lower')
for source in dataset.source_table:
# Plot a sky circle around each source
center = SkyCoord(source['GLON'], source['GLAT'], unit='deg', frame='galactic')
radius = Angle(20, 'deg')
region = CircleSkyRegion(center=center, radius=radius)
pix_region = region.to_pixel(wcs=wcs)
pix_region.plot(ax, edgecolor='green', facecolor='none', alpha=0.8, lw=3)
region.plot(ax, edgecolor='yellow', facecolor='none', alpha=0.8, lw=3)
plt.show()
"""Example how to compute and plot reflected regions."""
from astropy.coordinates import SkyCoord, Angle
from regions import CircleSkyRegion
from gammapy.image import SkyMask
from gammapy.background import find_reflected_regions
mask = SkyMask.empty(name='Exclusion Mask', nxpix=801, nypix=701, binsz=0.01,
coordsys='CEL', xref=83.2, yref=22.7)
mask.fill_random_circles(n=8, min_rad=30, max_rad=80)
pos = SkyCoord(80.2, 23.5, unit='deg')
radius = Angle(0.4, 'deg')
test_region = CircleSkyRegion(pos, radius)
center = SkyCoord(82.8, 22.5, unit='deg')
regions = find_reflected_regions(test_region, center, mask)
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(8, 5), dpi=80)
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], projection=mask.wcs)
mask.plot(ax, fig)
for reg in regions:
reg.plot(ax, facecolor='red')
test_region.plot(ax, facecolor='blue')
plt.show()
dataset = make_example_dataset(data='simulated', config=config)
wcs = dataset.wcs
fig = plt.figure()
ax = fig.add_axes([0.15, 0.1, 0.8, 0.8], projection=wcs)
ax.set_xlim(-0.5, dataset.config['shape'][1] - 0.5)
ax.set_ylim(-0.5, dataset.config['shape'][0] - 0.5)
ax.imshow(dataset.image.data,
cmap='gray',
vmin=0,
vmax=1,
interpolation='nearest',
origin='lower')
for source in dataset.source_table:
# Plot a sky circle around each source
center = SkyCoord(source['GLON'],
source['GLAT'],
unit='deg',
frame='galactic')
radius = Angle(20, 'deg')
region = CircleSkyRegion(center=center, radius=radius)
pix_region = region.to_pixel(wcs=wcs)
pix_region.plot(ax, edgecolor='green', facecolor='none', alpha=0.8, lw=3)
region.plot(ax, edgecolor='yellow', facecolor='none', alpha=0.8, lw=3)
plt.show()
