def _initialize_hessio(filename, tel_id, item):
"""
reads the Camera data out of the open hessio file
Parameters
----------
filename: string
name of the hessio file (must be a hessio file!)
tel_id: int
ID of the telescope whose optics information should be loaded
"""
cam_fov = -1 * u.degree
pix_posX = h.get_pixel_position(tel_id)[0] * u.m
pix_posY = h.get_pixel_position(tel_id)[1] * u.m
pix_posZ = [-1] * u.m
pix_id = np.arange(len(pix_posX))
cam_class, pix_area, pix_type, dx = _guess_camera_geometry(
pix_posX, pix_posY)
try:
cam_class = h.get_camera_class(tel_id)
except:
pass
try:
pix_area = h.get_pixel_area(tel_id)
except:
pass
try:
pix_type = h.get_pixel_type(tel_id)
except:
pass
try:
pix_neighbors = h.get_pix_neighbors(tel_id)
except:
pix_neighbors = _find_neighbor_pixels(pix_posX.value,
pix_posY.value,
dx.value + 0.01)
fadc_pulsshape = [[-1], [-1]]
#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())
return (cam_class, cam_fov, pix_id, pix_posX, pix_posY, pix_posZ,
pix_area, pix_type, pix_neighbors, fadc_pulsshape)
def from_file_hessio(filename,tel_id,item):
"""
reads the Camera data out of the open hessio file
Parameters
----------
filename: string
name of the hessio file (must be a hessio file!)
tel_id: int
ID of the telescope whose optics information should be loaded
"""
cam_fov = -1*u.degree
pix_posX = h.get_pixel_position(tel_id)[0]*u.m
pix_posY = h.get_pixel_position(tel_id)[1]*u.m
pix_posZ = [-1]*u.m
pix_id = np.arange(len(pix_posX))
cam_class,pix_area,pix_type,dx = _guess_camera_geometry(pix_posX,
pix_posY)
try: cam_class = h.get_camera_class(tel_id)
except: pass
try: pix_area = h.get_pixel_area(tel_id)
except: pass
try: pix_type = h.get_pixel_type(tel_id)
except: pass
try: pix_neighbors = h.get_pix_neighbors(tel_id)
except:
pix_neighbors = _find_neighbor_pixels(pix_posX.value,
pix_posY.value,
dx.value + 0.01)
fadc_pulsshape = [[-1],[-1]]
#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())
return (cam_class,cam_fov,pix_id,pix_posX,pix_posY,pix_posZ,pix_area,
pix_type,pix_neighbors,fadc_pulsshape)
def from_hessio_to_astropytable(filename):
h.file_open(filename)
next(h.move_to_next_event())
tel_id = h.get_telescope_ids()
tel_table = Table()
tel_table["TelID"] = tel_id
tel_posX = [h.get_telescope_position(i)[0] for i in tel_id] * u.m
tel_posY = [h.get_telescope_position(i)[1] for i in tel_id] * u.m
tel_posZ = [h.get_telescope_position(i)[2] for i in tel_id] * u.m
tel_table["TelX"] = tel_posX
tel_table["TelX"].unit = u.m
tel_table["TelY"] = tel_posY
tel_table["TelY"].unit = u.m
tel_table["TelZ"] = tel_posZ
tel_table["TelZ"].unit = u.m
for t in range(len(tel_id)):
table = Table()
pix_posX = h.get_pixel_position(tel_id[t])[0] * u.m
pix_posY = h.get_pixel_position(tel_id[t])[1] * u.m
pix_id = np.arange(len(pix_posX))
pix_area = h.get_pixel_area(tel_id[t]) * u.m ** 2
table["TelID"] = [tel_id[t] for i in range(len(pix_posX))]
table["PixelID"] = pix_id
table["PixX"] = pix_posX
table["PixX"].unit = u.m
table["PixY"] = pix_posY
table["PixY"].unit = u.m
table["PixArea"] = pix_area.value
table["PixArea"].unit = pix_area.unit
if t == 0:
cam_table = table
else:
cam_table = join(cam_table, table, join_type="outer")
return [tel_table, cam_table]
def from_hessio_to_astropytable(filename):
h.file_open(filename)
next(h.move_to_next_event())
tel_id = h.get_telescope_ids()
tel_table = Table()
tel_table['TelID'] = tel_id
tel_posX = [h.get_telescope_position(i)[0] for i in tel_id] * u.m
tel_posY = [h.get_telescope_position(i)[1] for i in tel_id] * u.m
tel_posZ = [h.get_telescope_position(i)[2] for i in tel_id] * u.m
tel_table['TelX'] = tel_posX
tel_table['TelX'].unit = u.m
tel_table['TelY'] = tel_posY
tel_table['TelY'].unit = u.m
tel_table['TelZ'] = tel_posZ
tel_table['TelZ'].unit = u.m
for t in range(len(tel_id)):
table = Table()
pix_posX = h.get_pixel_position(tel_id[t])[0] * u.m
pix_posY = h.get_pixel_position(tel_id[t])[1] * u.m
pix_id = np.arange(len(pix_posX))
pix_area = h.get_pixel_area(tel_id[t]) * u.m**2
table['TelID'] = [tel_id[t] for i in range(len(pix_posX))]
table['PixelID'] = pix_id
table['PixX'] = pix_posX
table['PixX'].unit = u.m
table['PixY'] = pix_posY
table['PixY'].unit = u.m
table['PixArea'] = pix_area.value
table['PixArea'].unit = pix_area.unit
if t == 0:
cam_table = table
else:
cam_table = join(cam_table, table, join_type='outer')
return [tel_table, cam_table]
def hessio_event_source(url, max_events=None, allowed_tels=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
allowed_tels : list[int]
select only a subset of telescope, if None, all are read. This can
be used for example 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 = pyhessio.file_open(url)
if ret is not 0:
raise RuntimeError("hessio_event_source failed to open '{}'"
.format(url))
counter = 0
eventstream = pyhessio.move_to_next_event()
if allowed_tels is not None:
allowed_tels = set(allowed_tels)
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.meta.add_item('optical_foclen', dict())
container.add_item("dl0", RawData())
container.add_item("mc", MCEvent())
container.add_item("trig", CentralTriggerData())
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 = set(pyhessio.get_teldata_list())
# handle telescope filtering by taking the intersection of
# tels_with_data and allowed_tels
if allowed_tels is not None:
selected = container.dl0.tels_with_data & allowed_tels
if len(selected) == 0:
continue # skip event
container.dl0.tels_with_data = selected
container.trig.tels_with_trigger \
= pyhessio.get_central_event_teltrg_list()
time_s, time_ns = pyhessio.get_central_event_gps_time()
container.trig.gps_time = Time(time_s * u.s, time_ns * u.ns,
format='gps', scale='utc')
container.mc.energy = pyhessio.get_mc_shower_energy() * u.TeV
container.mc.alt = Angle(pyhessio.get_mc_shower_altitude(), u.rad)
container.mc.az = Angle(pyhessio.get_mc_shower_azimuth(), u.rad)
container.mc.core_x = pyhessio.get_mc_event_xcore() * u.m
container.mc.core_y = pyhessio.get_mc_event_ycore() * u.m
container.count = counter
# 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] \
= pyhessio.get_pixel_position(tel_id) * u.m
container.meta.optical_foclen[tel_id] = pyhessio.get_optical_foclen(tel_id) * u.m;
# fill the photo electrons list
if tel_id not in container.mc.photo_electrons:
container.mc.photo_electrons[tel_id] = dict()
for pix_id in range(pyhessio.get_num_pixels(tel_id)):
container.mc.photo_electrons[tel_id][pix_id] = pyhessio.get_mc_number_photon_electron(tel_id, pix_id)[0]
nchans = pyhessio.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] \
= pyhessio.get_adc_sample(channel=chan,
telescope_id=tel_id)
container.dl0.tel[tel_id].adc_sums[chan] \
= pyhessio.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 a hessio file
Parameters
----------
filename: string
name of the file
"""
print("Hessio file will be opened.")
h.file_open(filename)
next(h.move_to_next_event())
#version = h.get...
version = 'Feb2016'
#Creating 3 dictionaries where the instrument configuration will be stored
#The dictionaries themselves contain astropy.table.Table objects
telescope = {}
camera = {}
optics = {}
#--------------------------------------------------------------------------
#Telescope configuration
tel_table_prime = Table()
tel_table_prime.meta = {'VERSION': version}
try:
tel_id = h.get_telescope_ids()
tel_table_prime['TelID']= tel_id
except: pass
try:
tel_posX = [h.get_telescope_position(i)[0] for i in tel_id]
tel_table_prime['TelX'] = tel_posX
tel_table_prime['TelX'].unit = u.m
tel_table_prime.meta['TelX_description'] =\
'x-position of the telescope measured by...'
except: pass
try:
tel_posY = [h.get_telescope_position(i)[1] for i in tel_id]
tel_table_prime['TelY'] = tel_posY
tel_table_prime['TelY'].unit = u.m
except: pass
try:
tel_posZ = [h.get_telescope_position(i)[2] for i in tel_id]
tel_table_prime['TelZ'] = tel_posZ
tel_table_prime['TelZ'].unit = u.m
except: pass
try: tel_table['CameraClass'] = [h.get_camera_class(i) for i in tel_id]
except: pass
try:
tel_table_prime['MirA'] = [h.get_mirror_area(i) for i in tel_id]
tel_table_prime['MirA'].unit = u.m**2
except: pass
try: tel_table_prime['MirN'] = [h.get_mirror_number(i) for i in tel_id]
except: pass
try:
tel_table_prime['FL'] = [h.get_optical_foclen(i) for i in tel_id]
tel_table_prime['FL'].unit = u.m
except: pass
try: tel_table_prime.meta['TelNum'] = len(tel_posX)
except: pass
#Beside other tables containimng telescope configuration data, the main
#telescope table is written into the telescope dictionary.
telescope['TelescopeTable_Version%s' % version] = tel_table_prime
#--------------------------------------------------------------------------
#Camera and Optics configuration
try:
for t in range(len(tel_id)):
cam_table_prime = Table()
cam_table_prime.meta = {'TELID': tel_id[t], 'VERSION': version}
opt_table_prime = Table()
opt_table_prime.meta = {'TELID': tel_id[t], 'VERSION': version}
try:
pix_posX = h.get_pixel_position(tel_id[t])[0]
pix_id = np.arange(len(pix_posX))
cam_table_prime['PixID'] = pix_id
cam_table_prime['PixX'] = pix_posX
cam_table_prime['PixX'].unit = u.m
cam_table_prime.meta['PixXDescription'] =\
'x-position of the pixel measured by...'
except: pass
try:
pix_posY = h.get_pixel_position(tel_id[t])[1]
cam_table_prime['PixY'] = pix_posY
cam_table_prime['PixY'].unit = u.m
except: pass
try:
camera_class = CD.guess_camera_geometry(pix_posX*u.m,pix_posY*u.m)
pix_area_prime = camera_class.pix_area
pix_type_prime = camera_class.pix_type
pix_neighbors_prime = camera_class.pix_neighbors
except: pass
try:
pix_area = h.get_pixel_area(tel_id[t])
cam_table_prime['PixA'] = pix_area
cam_table_prime['PixA'].unit = u.mm**2
except:
try:
cam_table_prime['PixA'] = pix_area_prime
cam_table_prime['PixA'].unit = u.mm**2
except: pass
try: pix_type = h.get_pixel_type(tel_id[t])
except:
try: pix_type = pix_type_prime
except: pix_type = 'unknown'
cam_table_prime.meta['PixType'] = pix_type
try:
pix_neighbors = h.get_pixel_neighbor(tel_id[t])
cam_table_prime['PixNeig'] = pix_neighbors
except:
try: cam_table_prime['PixNeig'] = pix_neighbors_prime
except: pass
#as long as no mirror IDs are given, use the following:
opt_table_prime['MirrID'] = [1,2]
try:
opt_table_prime.meta['MirNum'] = h.get_mirror_number(tel_id[t])
except: pass
try:
opt_table_prime['MirArea'] = h.get_mirror_area(tel_id[t])
opt_table_prime['MirArea'].unit = u.m**2
opt_table_prime.meta['MirAreaDescription'] =\
'Area of all mirrors'
except: pass
try:
opt_table_prime['OptFocLen'] = h.get_optical_foclen(tel_id[t])
opt_table_prime['OptFocLen'].unit = u.m
except: pass
#Beside other tables containing camera and optics configuration
#data, the main tables are written into the camera and optics
#dictionary.
camera['CameraTable_Version%s_TelID%i' % (version,tel_id[t])] \
= cam_table_prime
optics['OpticsTable_Version%s_TelID%i' % (version,tel_id[t])] \
= opt_table_prime
except: pass
print('Astropy tables have been created.')
h.close_file()
print("Hessio file has been closed.")
return(telescope,camera,optics)
def load_hessio(filename):
"""
Function to open and load a hessio file
Parameters
----------
filename: string
name of the file
"""
print("Hessio file will be opened.")
h.file_open(filename)
next(h.move_to_next_event())
#version = h.get...
version = 'Feb2016'
#Creating 3 dictionaries where the instrument configuration will be stored
#The dictionaries themselves contain astropy.table.Table objects
telescope = {}
camera = {}
optics = {}
#--------------------------------------------------------------------------
#Telescope configuration
tel_table_prime = Table()
tel_table_prime.meta = {'VERSION': version}
try:
tel_id = h.get_telescope_ids()
tel_table_prime['TelID'] = tel_id
except:
pass
try:
tel_posX = [h.get_telescope_position(i)[0] for i in tel_id]
tel_table_prime['TelX'] = tel_posX
tel_table_prime['TelX'].unit = u.m
tel_table_prime.meta['TelX_description'] =\
'x-position of the telescope measured by...'
except:
pass
try:
tel_posY = [h.get_telescope_position(i)[1] for i in tel_id]
tel_table_prime['TelY'] = tel_posY
tel_table_prime['TelY'].unit = u.m
except:
pass
try:
tel_posZ = [h.get_telescope_position(i)[2] for i in tel_id]
tel_table_prime['TelZ'] = tel_posZ
tel_table_prime['TelZ'].unit = u.m
except:
pass
try:
tel_table['CameraClass'] = [h.get_camera_class(i) for i in tel_id]
except:
pass
try:
tel_table_prime['MirA'] = [h.get_mirror_area(i) for i in tel_id]
tel_table_prime['MirA'].unit = u.m**2
except:
pass
try:
tel_table_prime['MirN'] = [h.get_mirror_number(i) for i in tel_id]
except:
pass
try:
tel_table_prime['FL'] = [h.get_optical_foclen(i) for i in tel_id]
tel_table_prime['FL'].unit = u.m
except:
pass
try:
tel_table_prime.meta['TelNum'] = len(tel_posX)
except:
pass
#Beside other tables containimng telescope configuration data, the main
#telescope table is written into the telescope dictionary.
telescope['TelescopeTable_Version%s' % version] = tel_table_prime
#--------------------------------------------------------------------------
#Camera and Optics configuration
try:
for t in range(len(tel_id)):
cam_table_prime = Table()
cam_table_prime.meta = {'TELID': tel_id[t], 'VERSION': version}
opt_table_prime = Table()
opt_table_prime.meta = {'TELID': tel_id[t], 'VERSION': version}
try:
pix_posX = h.get_pixel_position(tel_id[t])[0]
pix_id = np.arange(len(pix_posX))
cam_table_prime['PixID'] = pix_id
cam_table_prime['PixX'] = pix_posX
cam_table_prime['PixX'].unit = u.m
cam_table_prime.meta['PixXDescription'] =\
'x-position of the pixel measured by...'
except:
pass
try:
pix_posY = h.get_pixel_position(tel_id[t])[1]
cam_table_prime['PixY'] = pix_posY
cam_table_prime['PixY'].unit = u.m
except:
pass
try:
camera_class = CD.guess_camera_geometry(
pix_posX * u.m, pix_posY * u.m)
pix_area_prime = camera_class.pix_area
pix_type_prime = camera_class.pix_type
pix_neighbors_prime = camera_class.pix_neighbors
except:
pass
try:
pix_area = h.get_pixel_area(tel_id[t])
cam_table_prime['PixA'] = pix_area
cam_table_prime['PixA'].unit = u.mm**2
except:
try:
cam_table_prime['PixA'] = pix_area_prime
cam_table_prime['PixA'].unit = u.mm**2
except:
pass
try:
pix_type = h.get_pixel_type(tel_id[t])
except:
try:
pix_type = pix_type_prime
except:
pix_type = 'unknown'
cam_table_prime.meta['PixType'] = pix_type
try:
pix_neighbors = h.get_pixel_neighbor(tel_id[t])
cam_table_prime['PixNeig'] = pix_neighbors
except:
try:
cam_table_prime['PixNeig'] = pix_neighbors_prime
except:
pass
#as long as no mirror IDs are given, use the following:
opt_table_prime['MirrID'] = [1, 2]
try:
opt_table_prime.meta['MirNum'] = h.get_mirror_number(tel_id[t])
except:
pass
try:
opt_table_prime['MirArea'] = h.get_mirror_area(tel_id[t])
opt_table_prime['MirArea'].unit = u.m**2
opt_table_prime.meta['MirAreaDescription'] =\
'Area of all mirrors'
except:
pass
try:
opt_table_prime['OptFocLen'] = h.get_optical_foclen(tel_id[t])
opt_table_prime['OptFocLen'].unit = u.m
except:
pass
#Beside other tables containing camera and optics configuration
#data, the main tables are written into the camera and optics
#dictionary.
camera['CameraTable_Version%s_TelID%i' % (version,tel_id[t])] \
= cam_table_prime
optics['OpticsTable_Version%s_TelID%i' % (version,tel_id[t])] \
= opt_table_prime
except:
pass
print('Astropy tables have been created.')
h.close_file()
print("Hessio file has been closed.")
return (telescope, camera, optics)
def hessio_event_source(url, max_events=None, allowed_tels=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
allowed_tels : list[int]
select only a subset of telescope, if None, all are read. This can
be used for example 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 = pyhessio.file_open(url)
if ret is not 0:
raise RuntimeError("hessio_event_source failed to open '{}'"
.format(url))
# the container is initialized once, and data is replaced within
# it after each yield
counter = 0
eventstream = pyhessio.move_to_next_event()
if allowed_tels is not None:
allowed_tels = set(allowed_tels)
event = EventContainer()
event.meta.source = "hessio"
# some hessio_event_source specific parameters
event.meta.add_item('hessio__input', url)
event.meta.add_item('hessio__max_events', max_events)
for run_id, event_id in eventstream:
event.dl0.run_id = run_id
event.dl0.event_id = event_id
event.dl0.tels_with_data = set(pyhessio.get_teldata_list())
# handle telescope filtering by taking the intersection of
# tels_with_data and allowed_tels
if allowed_tels is not None:
selected = event.dl0.tels_with_data & allowed_tels
if len(selected) == 0:
continue # skip event
event.dl0.tels_with_data = selected
event.trig.tels_with_trigger \
= pyhessio.get_central_event_teltrg_list()
time_s, time_ns = pyhessio.get_central_event_gps_time()
event.trig.gps_time = Time(time_s * u.s, time_ns * u.ns,
format='gps', scale='utc')
event.mc.energy = pyhessio.get_mc_shower_energy() * u.TeV
event.mc.alt = Angle(pyhessio.get_mc_shower_altitude(), u.rad)
event.mc.az = Angle(pyhessio.get_mc_shower_azimuth(), u.rad)
event.mc.core_x = pyhessio.get_mc_event_xcore() * u.m
event.mc.core_y = pyhessio.get_mc_event_ycore() * u.m
event.mc.h_first_int = pyhessio.get_mc_shower_h_first_int() * u.m
event.count = counter
# 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)
event.dl0.tel = dict() # clear the previous telescopes
event.mc.tel = dict() # clear the previous telescopes
for tel_id in event.dl0.tels_with_data:
# fill pixel position dictionary, if not already done:
if tel_id not in event.meta.pixel_pos:
event.meta.pixel_pos[tel_id] \
= pyhessio.get_pixel_position(tel_id) * u.m
event.meta.optical_foclen[
tel_id] = pyhessio.get_optical_foclen(tel_id) * u.m
# fill telescope position dictionary, if not already done:
if tel_id not in event.meta.tel_pos:
event.meta.tel_pos[
tel_id] = pyhessio.get_telescope_position(tel_id) * u.m
nchans = pyhessio.get_num_channel(tel_id)
npix = pyhessio.get_num_pixels(tel_id)
nsamples = pyhessio.get_num_samples(tel_id)
event.dl0.tel[tel_id] = RawCameraData(tel_id)
event.dl0.tel[tel_id].num_channels = nchans
event.dl0.tel[tel_id].num_pixels = npix
event.dl0.tel[tel_id].num_samples = nsamples
event.mc.tel[tel_id] = MCCamera(tel_id)
event.dl0.tel[tel_id].calibration \
= pyhessio.get_calibration(tel_id)
event.dl0.tel[tel_id].pedestal \
= pyhessio.get_pedestal(tel_id)
# load the data per telescope/chan
for chan in range(nchans):
event.dl0.tel[tel_id].adc_samples[chan] \
= pyhessio.get_adc_sample(channel=chan,
telescope_id=tel_id)
event.dl0.tel[tel_id].adc_sums[chan] \
= pyhessio.get_adc_sum(channel=chan,
telescope_id=tel_id)
event.mc.tel[tel_id].refshapes[chan] = \
pyhessio.get_ref_shapes(tel_id, chan)
# load the data per telescope/pixel
event.mc.tel[tel_id].photo_electrons \
= pyhessio.get_mc_number_photon_electron(telescope_id=tel_id)
event.mc.tel[tel_id].refstep = pyhessio.get_ref_step(tel_id)
event.mc.tel[tel_id].lrefshape = pyhessio.get_lrefshape(tel_id)
event.mc.tel[tel_id].time_slice = \
pyhessio.get_time_slice(tel_id)
yield event
counter += 1
if max_events is not None and counter >= max_events:
return
def load_hessio(filename):
"""
Function to open and load a hessio file
Parameters
----------
filename: string
name of the file
"""
h.file_open(filename)
print("Hessio file %s has been opened" % filename)
next(h.move_to_next_event())
tel_id = h.get_telescope_ids()
tel_table = Table()
tel_table['TelID']= tel_id
tel_posX = [h.get_telescope_position(i)[0] for i in tel_id]
tel_posY = [h.get_telescope_position(i)[1] for i in tel_id]
tel_posZ = [h.get_telescope_position(i)[2] for i in tel_id]
tel_table['TelX'] = tel_posX
tel_table['TelX'].unit = u.m
tel_table['TelY'] = tel_posY
tel_table['TelY'].unit = u.m
tel_table['TelZ'] = tel_posZ
tel_table['TelZ'].unit = u.m
#tel_table['CameraClass'] = [h.get_camera_class(i) for i in tel_id]
tel_table['MirrorArea'] = [h.get_mirror_area(i) for i in tel_id]
tel_table['MirrorArea'].unit = u.m**2
tel_table['NMirrors'] = [h.get_mirror_number(i) for i in tel_id]
tel_table['FL'] = [h.get_optical_foclen(i) for i in tel_id]
tel_table['FL'].unit = u.m
for t in range(len(tel_id)):
table = Table()
pix_posX = h.get_pixel_position(tel_id[t])[0]
pix_posY = h.get_pixel_position(tel_id[t])[1]
pix_id = np.arange(len(pix_posX))
pix_area = h.get_pixel_area(tel_id[t])
table['TelID'] = [tel_id[t] for i in range(len(pix_posX))]
table['PixelID'] = pix_id
table['PixX'] = pix_posX
table['PixX'].unit = u.m
table['PixY'] = pix_posY
table['PixY'].unit = u.m
table['PixArea'] = pix_area
table['PixArea'].unit = u.mm**2
if t == 0:
cam_table = table
else:
cam_table = join(cam_table,table,join_type='outer')
#for t in range(len(tel_id)):
# table = Table()
# if t == 0:
# opt_table = table
# else:
# opt_table = join(opt_table,table,join_type='outer')
opt_table = Table()
print('Astropy tables have been created.')
#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())
h.close_file()
print("Hessio file has been closed.")
return [tel_table,cam_table,opt_table]
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 = pyhessio.file_open(url)
if ret is not 0:
raise RuntimeError("hessio_event_source failed to open '{}'"
.format(url))
counter = 0
eventstream = pyhessio.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 = pyhessio.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] = pyhessio.get_pixel_position(tel_id)
nchans = pyhessio.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] \
= pyhessio.get_adc_sample(channel=chan,
telescope_id=tel_id)
container.dl0.tel[tel_id].adc_sums[chan] \
= pyhessio.get_adc_sum(channel=chan,
telescope_id=tel_id)
yield container
counter += 1
if max_events is not None and counter > max_events:
return
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
filename = "cam_{:03d}.fits".format(telid)
camtab.write(filename)
print("WROTE ", filename)
except h.HessioTelescopeIndexError:
break
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
filename = "cam_{:03d}.fits".format(telid)
camtab.write(filename)
print("WROTE ", filename)
except h.HessioTelescopeIndexError:
break
def hessio_event_source(url, max_events=None, allowed_tels=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
allowed_tels : list[int]
select only a subset of telescope, if None, all are read. This can
be used for example 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 = pyhessio.file_open(url)
if ret is not 0:
raise RuntimeError(
"hessio_event_source failed to open '{}'".format(url))
counter = 0
eventstream = pyhessio.move_to_next_event()
if allowed_tels is not None:
allowed_tels = set(allowed_tels)
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.meta.add_item('optical_foclen', dict())
container.add_item("dl0", RawData())
container.add_item("mc", MCShowerData())
container.add_item("trig", CentralTriggerData())
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 = set(pyhessio.get_teldata_list())
# handle telescope filtering by taking the intersection of
# tels_with_data and allowed_tels
if allowed_tels is not None:
selected = container.dl0.tels_with_data & allowed_tels
if len(selected) == 0:
continue # skip event
container.dl0.tels_with_data = selected
container.trig.tels_with_trigger \
= pyhessio.get_central_event_teltrg_list()
time_s, time_ns = pyhessio.get_central_event_gps_time()
container.trig.gps_time = Time(time_s * u.s,
time_ns * u.ns,
format='gps',
scale='utc')
container.mc.energy = pyhessio.get_mc_shower_energy() * u.TeV
container.mc.alt = Angle(pyhessio.get_mc_shower_altitude(), u.rad)
container.mc.az = Angle(pyhessio.get_mc_shower_azimuth(), u.rad)
container.mc.core_x = pyhessio.get_mc_event_xcore() * u.m
container.mc.core_y = pyhessio.get_mc_event_ycore() * u.m
container.count = counter
# 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] \
= pyhessio.get_pixel_position(tel_id) * u.m
container.meta.optical_foclen[
tel_id] = pyhessio.get_optical_foclen(tel_id) * u.m
nchans = pyhessio.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] \
= pyhessio.get_adc_sample(channel=chan,
telescope_id=tel_id)
container.dl0.tel[tel_id].adc_sums[chan] \
= pyhessio.get_adc_sum(channel=chan,
telescope_id=tel_id)
yield container
counter += 1
if max_events is not None and counter > max_events:
return
