def initialize_camera(tel_id, filename, file_closed=1):
if 'simtel.gz' in filename:
if file_closed:
ld.clear_lists_camera()
load_hessio(filename)
nextevent_hessio()
else:
pass
px = h.get_pixel_position(tel_id)[0]
py = h.get_pixel_position(tel_id)[1]
ld.pixel_posX.append(px)
ld.pixel_posY.append(py)
ld.camera_class.append(
io.guess_camera_geometry(px * u.m, py * u.m).cam_id)
#to use this, one has to go through every event of the run...
n_channel = h.get_num_channel(tel_id)
ld.channel_num = n_channel
for chan in range(n_channel):
ld.adc_sampels.append(h.get_adc_sample(tel_id, chan).tolist())
if file_closed:
close_hessio()
elif 'fits' in filename:
hdulist = file_closed
if file_closed == 1:
ld.clear_lists_camera()
ld.clear_lists_telescope()
hdulist = load_fits(filename)
teles = hdulist[1].data
ld.telescope = teles["TelID"].tolist()
else:
pass
index = ld.telescope_id.index(tel_id)
ld.camera_fov.append(hdulist[1].data[index]["FOV"])
pixel_id_cam = []
index2 = np.where(hdulist[2].data['L0ID'] == index)[0]
for i in index2:
pixel_id_cam.append(hdulist[2].data[i]['PixelID'])
ld.pixel_id.append(pixel_id_cam)
if file_closed == 1:
close_fits(hdulist)
def initialize_camera(tel_id, filename, file_closed = 1):
if 'simtel.gz' in filename:
if file_closed:
ld.clear_lists_camera()
load_hessio(filename)
nextevent_hessio()
else:
pass
px = h.get_pixel_position(tel_id)[0]
py = h.get_pixel_position(tel_id)[1]
ld.pixel_posX.append(px)
ld.pixel_posY.append(py)
ld.camera_class.append(io.guess_camera_geometry(px*u.m,py*u.m).cam_id)
#to use this, one has to go through every event of the run...
n_channel = h.get_num_channel(tel_id)
ld.channel_num = n_channel
for chan in range(n_channel):
ld.adc_sampels.append(h.get_adc_sample(tel_id,chan).tolist())
if file_closed:
close_hessio()
elif 'fits' in filename:
hdulist = file_closed
if file_closed == 1:
ld.clear_lists_camera()
ld.clear_lists_telescope()
hdulist = load_fits(filename)
teles = hdulist[1].data
ld.telescope = teles["TelID"].tolist()
else:
pass
index = ld.telescope_id.index(tel_id)
ld.camera_fov.append(hdulist[1].data[index]["FOV"])
pixel_id_cam = []
index2 = np.where(hdulist[2].data['L0ID'] == index)[0]
for i in index2:
pixel_id_cam.append(hdulist[2].data[i]['PixelID'])
ld.pixel_id.append(pixel_id_cam)
if file_closed == 1:
close_fits(hdulist)
def initialize_hessio(filename, tel_id, file_closed):
if file_closed:
util_functions.load_hessio(filename)
util_functions.nextevent_hessio()
else:
pass
px = h.get_pixel_position(tel_id)[0]
py = h.get_pixel_position(tel_id)[1]
ld.pixel_posX.append(px)
ld.pixel_posY.append(py)
ld.camera_class.append(guess_camera_geometry(px * u.m, py * u.m).cam_id)
#to use this, one has to go through every event of the run...
n_channel = h.get_num_channel(tel_id)
ld.channel_num = n_channel
#for chan in range(n_channel):
# ld.adc_samples.append(h.get_adc_sample(tel_id,chan).tolist())
if file_closed:
util_functions.close_hessio()
def initialize_hessio(filename,tel_id, file_closed):
if file_closed:
util_functions.load_hessio(filename)
util_functions.nextevent_hessio()
else:
pass
px = h.get_pixel_position(tel_id)[0]
py = h.get_pixel_position(tel_id)[1]
ld.pixel_posX.append(px)
ld.pixel_posY.append(py)
ld.camera_class.append(guess_camera_geometry(px*u.m,py*u.m).cam_id)
#to use this, one has to go through every event of the run...
n_channel = h.get_num_channel(tel_id)
ld.channel_num = n_channel
#for chan in range(n_channel):
# ld.adc_samples.append(h.get_adc_sample(tel_id,chan).tolist())
if file_closed:
util_functions.close_hessio()
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