コード例 #1
0
def make_total_event_list():
    """Make total event list.

    TODO: move this function to the datastore class
    and the sky box selection to the `make_counts_image` function.
    """
    data_store = DataStore(dir=HESSFITS_MPP)

    observation_selection = dict(type='sky_box',
                                 frame='galactic',
                                 lon=Quantity([-120, 70], 'deg'),
                                 lat=Quantity([-5, 5], 'deg'),
                                 border=Quantity(2, 'deg'))
    observation_table = data_store.make_observation_table(
        observation_selection)

    # For testing, only process a small subset of observations
    # observation_table = observation_table.select_linspace_subset(num=1000)

    event_list_files = data_store.make_table_of_files(observation_table,
                                                      filetypes=['events'])

    ds = EventListDataset.vstack_from_files(event_list_files['filename'])
    print('Total number of events: {}'.format(len(ds.event_list)))
    print('Total number of GTIs: {}'.format(len(ds.good_time_intervals)))

    print('Converting EventListDataset to HDUList ...')
    hdu_list = ds.to_fits()

    print('Writing {}'.format(TOTAL_EVENTS_FILE))
    hdu_list.writeto(TOTAL_EVENTS_FILE, clobber=True)
コード例 #2
0
def make_total_event_list():
    """Make total event list.

    TODO: move this function to the datastore class
    and the sky box selection to the `make_counts_image` function.
    """
    data_store = DataStore(dir=HESSFITS_MPP)

    observation_selection = dict(type='sky_box', frame='galactic',
                                 lon=Quantity([-120, 70], 'deg'),
                                 lat=Quantity([-5, 5], 'deg'), border=Quantity(2, 'deg')    )
    observation_table = data_store.make_observation_table(observation_selection)

    # For testing, only process a small subset of observations
    # observation_table = observation_table.select_linspace_subset(num=1000)

    event_list_files = data_store.make_table_of_files(observation_table, filetypes=['events'])

    ds = EventListDataset.vstack_from_files(event_list_files['filename'])
    print('Total number of events: {}'.format(len(ds.event_list)))
    print('Total number of GTIs: {}'.format(len(ds.good_time_intervals)))

    print('Converting EventListDataset to HDUList ...')
    hdu_list = ds.to_fits()

    print('Writing {}'.format(TOTAL_EVENTS_FILE))
    hdu_list.writeto(TOTAL_EVENTS_FILE, clobber=True)
コード例 #3
0
"""Eventlist coordinate check.
"""
from gammapy.data import EventListDataset
from gammapy.datasets import gammapy_extra

filename = gammapy_extra.filename(
    'test_datasets/unbundled/hess/run_0023037_hard_eventlist.fits.gz')
event_list = EventListDataset.read(filename)
print(event_list.info)
event_list.check()
"""
TODO: figure out the origin of this offset:
ALT / AZ not consistent with RA / DEC. Max separation: 726.6134257108188 arcsec
"""
コード例 #4
0
"""Eventlist coordinate check.
"""
from gammapy.data import EventListDataset
from gammapy.datasets import gammapy_extra

filename = gammapy_extra.filename('test_datasets/unbundled/hess/run_0023037_hard_eventlist.fits.gz')
event_list = EventListDataset.read(filename)
print(event_list.info)
event_list.check()

"""
TODO: figure out the origin of this offset:
ALT / AZ not consistent with RA / DEC. Max separation: 726.6134257108188 arcsec
"""