def run_analysis(self, argv):
"""Run this analysis"""
args = self._parser.parse_args(argv)
if not HAVE_ST:
raise RuntimeError(
"Trying to run fermipy analysis, but don't have ST")
gta = GTAnalysis(args.config, logging={'verbosity': 3},
fileio={'workdir_regex': '\.xml$|\.npy$'})
gta.setup(overwrite=False)
baseline_roi_fit(gta, make_plots=args.make_plots,
minmax_npred=[1e3, np.inf])
localize_sources(gta, nstep=5, dtheta_max=0.5, update=True,
prefix='base', make_plots=args.make_plots)
gta.find_sources(sqrt_ts_threshold=5.0, search_skydir=gta.roi.skydir,
search_minmax_radius=[1.0, np.nan])
gta.optimize()
gta.print_roi()
gta.print_params()
gta.free_sources(skydir=gta.roi.skydir, distance=1.0, pars='norm')
gta.fit(covar=True)
gta.print_roi()
gta.print_params()
gta.write_roi(args.roi_baseline, make_plots=args.make_plots)
def run_analysis(self, argv):
"""Run this analysis"""
args = self._parser.parse_args(argv)
if not HAVE_ST:
raise RuntimeError("Trying to run fermipy analysis, but don't have ST")
gta = GTAnalysis(args.config, logging={'verbosity': 3},
fileio={'workdir_regex': '\.xml$|\.npy$'})
gta.setup(overwrite=False)
gta.free_sources(False)
gta.print_roi()
gta.optimize()
gta.print_roi()
exclude = ['3FGL J1707.8+5626']
# Localize all point sources
for src in sorted(gta.roi.sources, key=lambda t: t['ts'], reverse=True):
# for s in gta.roi.sources:
if not src['SpatialModel'] == 'PointSource':
continue
if src['offset_roi_edge'] > -0.1:
continue
if src.name in exclude:
continue
if not '3FGL' in src.name:
continue
gta.localize(src.name, nstep=5, dtheta_max=0.5, update=True,
prefix='base', make_plots=True)
gta.optimize()
gta.print_roi()
gta.write_roi('base_roi', make_plots=True)
gta.find_sources(sqrt_ts_threshold=5.0)
gta.optimize()
gta.print_roi()
gta.print_params()
gta.free_sources(skydir=gta.roi.skydir, distance=1.0, pars='norm')
gta.fit()
gta.print_roi()
gta.print_params()
gta.write_roi('fit_baseline', make_plots=True)
def run_analysis(self, argv):
"""Run this analysis"""
args = self._parser.parse_args(argv)
if not HAVE_ST:
raise RuntimeError(
"Trying to run fermipy analysis, but don't have ST")
gta = GTAnalysis(args.config,
logging={'verbosity': 3},
fileio={'workdir_regex': '\.xml$|\.npy$'})
gta.setup(overwrite=False)
baseline_roi_fit(gta,
make_plots=args.make_plots,
minmax_npred=[1e3, np.inf])
localize_sources(gta,
nstep=5,
dtheta_max=0.5,
update=True,
prefix='base',
make_plots=args.make_plots)
gta.find_sources(sqrt_ts_threshold=5.0,
search_skydir=gta.roi.skydir,
search_minmax_radius=[1.0, np.nan])
gta.optimize()
gta.print_roi()
gta.print_params()
gta.free_sources(skydir=gta.roi.skydir, distance=1.0, pars='norm')
gta.fit(covar=True)
gta.print_roi()
gta.print_params()
gta.write_roi(args.roi_baseline, make_plots=args.make_plots)
def main():
usage = "usage: %(prog)s [config file]"
description = "Run fermipy analysis chain."
parser = argparse.ArgumentParser(usage=usage, description=description)
parser.add_argument('--config', default='sample_config.yaml')
parser.add_argument('--source', default=None)
args = parser.parse_args()
gta = GTAnalysis(args.config,
logging={'verbosity': 3},
fileio={'workdir_regex': '\.xml$|\.npy$'})
model0 = {'SpatialModel': 'PointSource', 'Index': 1.5}
model1 = {'SpatialModel': 'PointSource', 'Index': 2.0}
model2 = {'SpatialModel': 'PointSource', 'Index': 2.7}
src_name = gta.config['selection']['target']
gta.setup(overwrite=True)
gta.free_sources(False)
gta.print_roi()
gta.optimize()
gta.print_roi()
exclude = []
# Localize all point sources
for s in sorted(gta.roi.sources, key=lambda t: t['ts'], reverse=True):
# for s in gta.roi.sources:
if not s['SpatialModel'] == 'PointSource':
continue
if s['offset_roi_edge'] > -0.1:
continue
if s.name in exclude:
continue
if not '3FGL' in s.name:
continue
if s.name == src_name:
continue
gta.localize(s.name,
nstep=5,
dtheta_max=0.5,
update=True,
prefix='base',
make_plots=True)
gta.optimize()
gta.print_roi()
gta.write_roi('base_roi', make_plots=True)
exclude = [src_name]
if not 'carina_2' in exclude:
exclude += ['carina_2']
if not 'carina_3' in exclude:
exclude += ['carina_3']
gta.tsmap('base', model=model0, make_plots=True, exclude=exclude)
gta.residmap('base', model=model0, make_plots=True, exclude=exclude)
gta.tsmap('base', model=model1, make_plots=True, exclude=exclude)
gta.residmap('base', model=model1, make_plots=True, exclude=exclude)
gta.tsmap('base', model=model2, make_plots=True, exclude=exclude)
gta.residmap('base', model=model2, make_plots=True, exclude=exclude)
gta.find_sources(sqrt_ts_threshold=5.0)
gta.optimize()
gta.print_roi()
gta.print_params()
gta.free_sources(skydir=gta.roi.skydir, distance=1.0, pars='norm')
gta.fit()
gta.print_roi()
gta.print_params()
gta.write_roi('fit0_roi', make_plots=True)
m = gta.tsmap('fit0', model=model0, make_plots=True, exclude=exclude)
gta.plotter.make_tsmap_plots(m, gta.roi, zoom=2, suffix='tsmap_zoom')
gta.residmap('fit0', model=model0, make_plots=True, exclude=exclude)
gta.tsmap('fit0', model=model1, make_plots=True, exclude=exclude)
gta.plotter.make_tsmap_plots(m, gta.roi, zoom=2, suffix='tsmap_zoom')
gta.residmap('fit0', model=model1, make_plots=True, exclude=exclude)
gta.tsmap('fit0', model=model2, make_plots=True, exclude=exclude)
gta.plotter.make_tsmap_plots(m, gta.roi, zoom=2, suffix='tsmap_zoom')
gta.residmap('fit0', model=model2, make_plots=True, exclude=exclude)
gta.sed(src_name, prefix='fit0', make_plots=True, free_radius=1.0)
gta.free_source(src_name)
gta.fit(reoptimize=True)
gta.print_roi()
gta.print_params()
gta.write_roi('fit1_roi', make_plots=True)
