def make_source_catalog():
"""Make source catalog from images.
TODO: use other images to do measurements for the sources,
e.g. excess, npred, flux.
"""
significance_threshold = 7
hdu = fits.open(TS_IMAGES)['sqrt_ts']
header = fits.getheader(REF_IMAGE)
wcs = WCS(header)
print('Running find_peaks ...')
table = find_peaks(data=hdu.data,
threshold=significance_threshold,
wcs=wcs)
print('Number of sources detected: {}'.format(len(table)))
# Add some useful columns
icrs = SkyCoord(table['icrs_ra_peak'], table['icrs_dec_peak'], unit='deg')
galactic = icrs.galactic
table['Source_Name'] = coordinate_iau_format(icrs, ra_digits=5, prefix='J')
table['GLON'] = galactic.l.deg
table['GLAT'] = galactic.b.deg
# table.show_in_browser(jsviewer=True)
print('Writing {}'.format(SOURCE_CATALOG))
table.write(SOURCE_CATALOG, overwrite=True)
ds9_string = to_ds9_region(table, label='Source_Name')
print('Writing {}'.format(SOURCE_REGIONS))
with open(SOURCE_REGIONS, 'w') as fh:
fh.write(ds9_string)
# TODO: move this to `make_significance_image`.
# At the moment the TS map output images don't have WCS info in the header
hdu = fits.PrimaryHDU(data=hdu.data, header=header)
print('Writing {}'.format(SIGNIFICANCE_IMAGE))
hdu.writeto(SIGNIFICANCE_IMAGE, clobber=True)
def make_source_catalog():
"""Make source catalog from images.
TODO: use other images to do measurements for the sources,
e.g. excess, npred, flux.
"""
significance_threshold = 7
hdu = fits.open(TS_IMAGES)['sqrt_ts']
header = fits.getheader(REF_IMAGE)
wcs = WCS(header)
print('Running find_peaks ...')
table = find_peaks(data=hdu.data, threshold=significance_threshold, wcs=wcs)
print('Number of sources detected: {}'.format(len(table)))
# Add some useful columns
icrs = SkyCoord(table['icrs_ra_peak'], table['icrs_dec_peak'], unit='deg')
galactic = icrs.galactic
table['Source_Name'] = coordinate_iau_format(icrs, ra_digits=5, prefix='J')
table['GLON'] = galactic.l.deg
table['GLAT'] = galactic.b.deg
# table.show_in_browser(jsviewer=True)
print('Writing {}'.format(SOURCE_CATALOG))
table.write(SOURCE_CATALOG, overwrite=True)
ds9_string = to_ds9_region(table, label='Source_Name')
print('Writing {}'.format(SOURCE_REGIONS))
with open(SOURCE_REGIONS, 'w') as fh:
fh.write(ds9_string)
# TODO: move this to `make_significance_image`.
# At the moment the TS map output images don't have WCS info in the header
hdu = fits.PrimaryHDU(data=hdu.data, header=header)
print('Writing {}'.format(SIGNIFICANCE_IMAGE))
hdu.writeto(SIGNIFICANCE_IMAGE, clobber=True)
"""
Generate region file from the catalogs.
"""
from astropy.table import Table
from gammapy.catalog import to_ds9_region
if __name__ == '__main__':
filenames = [
'ATNF_v1.51.fits.gz', 'Green_2014-05.fits.gz',
'2014PASA...31...42G_table2.fits.gz'
]
radius_columns = [None, 'Dmean', 'Dmean']
colors = ['yellow', 'cyan', 'red']
for filename, column, color in zip(filenames, radius_columns, colors):
catalog = Table.read(filename)
if column == 'Dmean':
# Convert arcmin to deg
catalog['Dmean'] /= 120.
outfilename = filename.replace('fits.gz', 'reg')
print('Writing {}'.format(outfilename))
with open(outfilename, 'w') as region_file:
region_file.write(
to_ds9_region(catalog,
radius=column,
label='Source_Name',
color=color,
width=2))
"""
Generate region file from the catalogs.
"""
from astropy.table import Table
from gammapy.catalog import to_ds9_region
if __name__ == '__main__':
filenames = ['ATNF_v1.51.fits.gz', 'Green_2014-05.fits.gz',
'2014PASA...31...42G_table2.fits.gz']
radius_columns = [None, 'Dmean', 'Dmean']
colors = ['yellow', 'cyan', 'red']
for filename, column, color in zip(filenames, radius_columns, colors):
catalog = Table.read(filename)
if column == 'Dmean':
# Convert arcmin to deg
catalog['Dmean'] /= 120.
outfilename = filename.replace('fits.gz', 'reg')
print('Writing {}'.format(outfilename))
with open(outfilename, 'w') as region_file:
region_file.write(to_ds9_region(catalog, radius=column, label='Source_Name',
color=color, width=2))