def _load_camera_geometry_from_hessio_file(tel_id, filename):
import hessio # warning, non-rentrant!
hessio.file_open(filename)
events = hessio.move_to_next_event()
next(events) # load at least one event to get all the headers
pix_x, pix_y = hessio.get_pixel_position(tel_id)
hessio.close_file()
return CameraGeometry.guess(pix_x * u.m, pix_y * u.m)
SimTelArray data file (using pyhessio) and write it to a set of FITS tables.
"""
import hessio as h
import sys
from astropy.table import Table
from astropy import units as u
from ctapipe import io
# TODO: use io.fits instead and make the table be variable length
# TODO: make this a tool (ctapipe-eventio2tels)
if __name__ == '__main__':
filename = sys.argv.pop(1)
h.file_open(filename)
event = h.move_to_next_event()
next(event)
for telid in range(1, h.get_num_telescope()):
try:
px, py = h.get_pixel_position(telid)
camtab = Table(names=['PIX_POS_X', 'PIX_POS_Y'],
data=[px * u.m, py * u.m])
camtab.meta['N_PIX'] = h.get_num_pixels(telid)
camtab.meta['N_SAMPS'] = h.get_num_samples(telid)
camtab.meta['N_TIMES'] = h.get_pixel_timing_num_times_types(telid)
camtab.meta['MIR_AREA'] = h.get_mirror_area(telid)
geom = io.guess_camera_geometry(px * u.m, py * u.m)
camtab.meta['TELCLASS'] = geom.cam_id
camtab.meta['PIXTYPE'] = geom.pix_type
def load_hessio(filename):
"""Function to open and load hessio files"""
event = h.file_open(filename)
print("Hessio file %s has been opened" % filename)
return event
def hessio_event_source(url, max_events=None, single_tel=None):
"""A generator that streams data from an EventIO/HESSIO MC data file
(e.g. a standard CTA data file.)
Parameters
----------
url : str
path to file to open
max_events : int, optional
maximum number of events to read
single_tel : int
select only a single telescope, if None, all are read. This is
to emulate the final CTA data format, where there would be 1
telescope per file (whereas in current monte-carlo, they are
all interleaved into one file)
"""
ret = hessio.file_open(url)
if ret is not 0:
raise RuntimeError(
"hessio_event_source failed to open '{}'".format(url))
counter = 0
eventstream = hessio.move_to_next_event()
container = Container("hessio_container")
container.meta.add_item('hessio__input', url)
container.meta.add_item('hessio__max_events', max_events)
container.meta.add_item('pixel_pos', dict())
container.add_item("dl0", RawData())
container.add_item("count")
for run_id, event_id in eventstream:
container.dl0.run_id = run_id
container.dl0.event_id = event_id
container.dl0.tels_with_data = hessio.get_teldata_list()
container.count = counter
# handle single-telescope case (ignore others:
if single_tel is not None:
if single_tel not in container.dl0.tels_with_data:
continue
container.dl0.tels_with_data = [
single_tel,
]
# this should be done in a nicer way to not re-allocate the
# data each time (right now it's just deleted and garbage
# collected)
container.dl0.tel = dict() # clear the previous telescopes
for tel_id in container.dl0.tels_with_data:
# fill pixel position dictionary, if not already done:
if tel_id not in container.meta.pixel_pos:
container.meta.pixel_pos[tel_id] = hessio.get_pixel_position(
tel_id)
nchans = hessio.get_num_channel(tel_id)
container.dl0.tel[tel_id] = RawCameraData(tel_id)
container.dl0.tel[tel_id].num_channels = nchans
# load the data per telescope/chan
for chan in range(nchans):
container.dl0.tel[tel_id].adc_samples[chan] \
= hessio.get_adc_sample(channel=chan,
telescope_id=tel_id)
container.dl0.tel[tel_id].adc_sums[chan] \
= hessio.get_adc_sum(channel=chan,
telescope_id=tel_id)
yield container
counter += 1
if max_events is not None and counter > max_events:
return
def hessio_event_source(url, max_events=None, single_tel=None):
"""A generator that streams data from an EventIO/HESSIO MC data file
(e.g. a standard CTA data file.)
Parameters
----------
url : str
path to file to open
max_events : int, optional
maximum number of events to read
single_tel : int
select only a single telescope, if None, all are read. This is
to emulate the final CTA data format, where there would be 1
telescope per file (whereas in current monte-carlo, they are
all interleaved into one file)
"""
ret = hessio.file_open(url)
if ret is not 0:
raise RuntimeError("hessio_event_source failed to open '{}'"
.format(url))
counter = 0
eventstream = hessio.move_to_next_event()
container = Container("hessio_container")
container.meta.add_item('hessio__input', url)
container.meta.add_item('hessio__max_events', max_events)
container.meta.add_item('pixel_pos', dict())
container.add_item("dl0", RawData())
container.add_item("count")
for run_id, event_id in eventstream:
container.dl0.run_id = run_id
container.dl0.event_id = event_id
container.dl0.tels_with_data = hessio.get_teldata_list()
container.count = counter
# handle single-telescope case (ignore others:
if single_tel is not None:
if single_tel not in container.dl0.tels_with_data:
continue
container.dl0.tels_with_data = [single_tel, ]
# this should be done in a nicer way to not re-allocate the
# data each time (right now it's just deleted and garbage
# collected)
container.dl0.tel = dict() # clear the previous telescopes
for tel_id in container.dl0.tels_with_data:
# fill pixel position dictionary, if not already done:
if tel_id not in container.meta.pixel_pos:
container.meta.pixel_pos[
tel_id] = hessio.get_pixel_position(tel_id)
nchans = hessio.get_num_channel(tel_id)
container.dl0.tel[tel_id] = RawCameraData(tel_id)
container.dl0.tel[tel_id].num_channels = nchans
# load the data per telescope/chan
for chan in range(nchans):
container.dl0.tel[tel_id].adc_samples[chan] \
= hessio.get_adc_sample(channel=chan,
telescope_id=tel_id)
container.dl0.tel[tel_id].adc_sums[chan] \
= hessio.get_adc_sum(channel=chan,
telescope_id=tel_id)
yield container
counter += 1
if max_events is not None and counter > max_events:
return
def load_hessio(filename):
"""Function to open and load hessio files"""
event = h.file_open(filename)
print("Hessio file %s has been opened" % filename)
return event
