def calibration_popout(self):
if self.calib_popout:
self.calib_popout.destroy()
self.calib_popout = tk.Toplevel()
self.calib_popout.title("About this application...")
if not self.calib_params:
return
entry_dict = {}
i = 0
d, inv = integrator_dict()
for key, val in self.calib_params.items():
tk.Label(self.calib_popout, text=key).grid(row=i)
entry_dict[key] = tk.Entry(self.calib_popout)
entry_dict[key].grid(row=i, column=1)
if val:
entry_dict[key].delete(0, "end")
if key == 'integrator':
val = inv[val]
entry_dict[key].insert(0, val)
i += 1
def callback():
cmdline = []
for param, entry in entry_dict.items():
value = entry.get()
if value:
cmdkey = '--'+param.replace('integration_', 'integration-')
cmdline.append(cmdkey)
cmdline.extend(value.split())
self.set_calibration_params(cmdline)
self.event = self.event
self.calib_popout.destroy()
b = tk.Button(self.calib_popout, text="Calibrate",
command=callback)
b.grid(row=i, column=0, columnspan=2)
def calibrate_event(event, params, geom_dict=None):
"""
Generic calibrator for events. Calls the calibrator corresponding to the
source of the event, and stores the dl1 (calibrated_image) information into a
new event container.
Parameters
----------
event : container
A `ctapipe` event container
params : dict
REQUIRED:
params['integrator'] - Integration scheme
params['integration_window'] - Integration window size and shift of
integration window centre
(adapted such that window fits into readout).
OPTIONAL:
params['integration_clip_amp'] - Amplitude in p.e. above which the
signal is clipped.
params['integration_calib_scale'] : Identical to global variable
CALIB_SCALE in reconstruct.c in hessioxxx software package. 0.92 is
the default value (corresponds to HESS). The required value changes
between cameras (GCT = 1.05).
params['integration_sigamp'] - Amplitude in ADC counts above pedestal
at which a signal is considered as significant (separate for
high gain/low gain).
geom_dict : dict
Dict of pixel geometry for each telescope. Leave as None for automatic
calculation when it is required.
dict[(num_pixels, focal_length)] = `ctapipe.io.CameraGeometry`
Returns
-------
calibrated : container
A new `ctapipe` event container containing the dl1 information, and a
reference to all other information contained in the original event
container.
"""
# Obtain relevent calibrator
switch = {'hessio': partial(mc.calibrate_mc, event=event, params=params)}
try:
calibrator = switch[event.meta['source']]
except KeyError:
log.exception("no calibration created for data origin: '{}'".format(
event.meta['source']))
raise
# KPK: should not copy the event here! there is no reason to
# Copying is
# up to the user if they want to do it, not in the algorithms.
# calibrated = copy(event)
# params stored in metadata
event.dl1.meta.update(params)
# Fill dl1
event.dl1.reset()
for telid in event.dl0.tels_with_data:
nchan = event.inst.num_channels[telid]
npix = event.inst.num_pixels[telid]
event.dl1.tel[telid] = CalibratedCameraContainer()
# Get geometry
int_dict, inverted = integrator_dict()
geom = None
# Check if geom is even needed for integrator
if inverted[params['integrator']] in integrators_requiring_geom():
if geom_dict is not None and telid in geom_dict:
geom = geom_dict[telid]
else:
log.debug("[calib] Guessing camera geometry")
geom = CameraGeometry.guess(*event.inst.pixel_pos[telid],
event.inst.optical_foclen[telid])
log.debug("[calib] Camera geometry found")
if geom_dict is not None:
geom_dict[telid] = geom
pe, window, data_ped, peakpos = calibrator(telid=telid, geom=geom)
tel = event.dl1.tel[telid]
tel.calibrated_image = pe
tel.peakpos = peakpos
for chan in range(nchan):
tel.integration_window[chan] = window[chan]
tel.pedestal_subtracted_adc[chan] = data_ped[chan]
return event
def calibrate_event(event, params, geom_dict=None):
"""
Generic calibrator for events. Calls the calibrator corresponding to the
source of the event, and stores the dl1 (pe_charge) information into a
new event container.
Parameters
----------
event : container
A `ctapipe` event container
params : dict
REQUIRED:
params['integrator'] - Integration scheme
params['integration_window'] - Integration window size and shift of
integration window centre
(adapted such that window fits into readout).
OPTIONAL:
params['integration_clip_amp'] - Amplitude in p.e. above which the
signal is clipped.
params['integration_calib_scale'] : Identical to global variable
CALIB_SCALE in reconstruct.c in hessioxxx software package. 0.92 is
the default value (corresponds to HESS). The required value changes
between cameras (GCT = 1.05).
params['integration_sigamp'] - Amplitude in ADC counts above pedestal
at which a signal is considered as significant (separate for
high gain/low gain).
geom_dict : dict
Dict of pixel geometry for each telescope. Leave as None for automatic
calculation when it is required.
dict[(num_pixels, focal_length)] = `ctapipe.io.CameraGeometry`
Returns
-------
calibrated : container
A new `ctapipe` event container containing the dl1 information, and a
reference to all other information contained in the original event
container.
"""
# Obtain relevent calibrator
switch = {'hessio': partial(mc.calibrate_mc, event=event, params=params)}
try:
calibrator = switch[event.meta.source]
except KeyError:
log.exception("no calibration created for data origin: '{}'".format(
event.meta.source))
raise
calibrated = copy(event)
# Add dl1 to the event container (if it hasn't already been added)
try:
calibrated.add_item("dl1", RawData())
calibrated.dl1.run_id = event.dl0.run_id
calibrated.dl1.event_id = event.dl0.event_id
calibrated.dl1.tels_with_data = event.dl0.tels_with_data
calibrated.dl1.calibration_parameters = params
except AttributeError:
pass
# Fill dl1
calibrated.dl1.tel = dict() # clear the previous telescopes
for telid in event.dl0.tels_with_data:
nchan = event.dl0.tel[telid].num_channels
npix = event.dl0.tel[telid].num_pixels
calibrated.dl1.tel[telid] = CalibratedCameraData(telid)
calibrated.dl1.tel[telid].num_channels = nchan
calibrated.dl1.tel[telid].num_pixels = npix
# Get geometry
int_dict, inverted = integrator_dict()
geom = None
cam_dimensions = (event.dl0.tel[telid].num_pixels,
event.meta.optical_foclen[telid])
# Check if geom is even needed for integrator
if inverted[params['integrator']] in integrators_requiring_geom():
if geom_dict is not None and telid in geom_dict:
geom = geom_dict[telid]
else:
log.debug("[calib] Guessing camera geometry")
geom = CameraGeometry.guess(*event.meta.pixel_pos[telid],
event.meta.optical_foclen[telid])
log.debug("[calib] Camera geometry found")
if geom_dict is not None:
geom_dict[telid] = geom
pe, window, data_ped, peakpos = calibrator(telid=telid, geom=geom)
calibrated.dl1.tel[telid].pe_charge = pe
calibrated.dl1.tel[telid].peakpos = peakpos
for chan in range(nchan):
calibrated.dl1.tel[telid].integration_window[chan] = window[chan]
calibrated.dl1.tel[telid].pedestal_subtracted_adc[chan] = \
data_ped[chan]
return calibrated
def main():
script = os.path.splitext(os.path.basename(__file__))[0]
log.info("[SCRIPT] {}".format(script))
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-f',
'--file',
dest='input_path',
action='store',
default=get_path('gamma_test.simtel.gz'),
help='path to the input file')
parser.add_argument('-O',
'--origin',
dest='origin',
action='store',
choices=InputFile.origin_list(),
default='hessio',
help='origin of the file')
parser.add_argument('-o',
'--output',
dest='output_dir',
action='store',
default=None,
help='path of the output directory to store the '
'images (default = input file directory)')
parser.add_argument('-e',
'--event',
dest='event_req',
action='store',
default=0,
type=int,
help='event index to plot (not id!)')
parser.add_argument('--id',
dest='event_id_f',
action='store_true',
default=False,
help='-e will specify event_id instead '
'of index')
parser.add_argument('-t',
'--telescope',
dest='tel',
action='store',
type=int,
default=None,
help='telecope to view')
parser.add_argument('-c',
'--channel',
dest='chan',
action='store',
type=int,
default=0,
help='channel to view (default = 0 (HG))')
parser.add_argument('--calib-help',
dest='calib_help',
action='store_true',
default=False,
help='display the arguments used for the camera '
'calibration')
logger_detail = parser.add_mutually_exclusive_group()
logger_detail.add_argument('-q',
'--quiet',
dest='quiet',
action='store_true',
default=False,
help='Quiet mode')
logger_detail.add_argument('-v',
'--verbose',
dest='verbose',
action='store_true',
default=False,
help='Verbose mode')
logger_detail.add_argument('-d',
'--debug',
dest='debug',
action='store_true',
default=False,
help='Debug mode')
args, excess_args = parser.parse_known_args()
if args.quiet:
log.setLevel(40)
if args.verbose:
log.setLevel(20)
if args.debug:
log.setLevel(10)
telid = args.tel
chan = args.chan
log.debug("[file] Reading file")
input_file = InputFile(args.input_path, args.origin)
event = input_file.get_event(args.event_req, args.event_id_f)
# Print event/args values
log.info("[event_index] {}".format(event.count))
log.info("[event_id] {}".format(event.dl0.event_id))
log.info("[telescope] {}".format(telid))
log.info("[channel] {}".format(chan))
params, unknown_args = calibration_parameters(excess_args, args.origin,
args.calib_help)
if unknown_args:
parser.print_help()
calibration_parameters(unknown_args, args.origin, True)
msg = 'unrecognized arguments: %s'
parser.error(msg % ' '.join(unknown_args))
# Create a dictionary to store any geoms in
geom = CameraGeometry.guess(*event.meta.pixel_pos[telid],
event.meta.optical_foclen[telid])
geom_dict = {telid: geom}
calibrated_event = calibrate_event(event, params, geom_dict)
# Select telescope
tels = list(calibrated_event.dl0.tels_with_data)
if telid is None or telid not in tels:
log.error("[event] please specify one of the following telescopes "
"for this event: {}".format(tels))
exit()
# Extract required images
data_ped = calibrated_event.dl1.tel[telid].pedestal_subtracted_adc[chan]
true_pe = calibrated_event.mc.tel[telid].photo_electrons
measured_pe = calibrated_event.dl1.tel[telid].pe_charge
max_time = np.unravel_index(np.argmax(data_ped), data_ped.shape)[1]
max_charges = np.max(data_ped, axis=1)
max_pixel = int(np.argmax(max_charges))
min_pixel = int(np.argmin(max_charges))
# Get Neighbours
max_pixel_nei = geom.neighbors[max_pixel]
min_pixel_nei = geom.neighbors[min_pixel]
# Get Windows
windows = calibrated_event.dl1.tel[telid].integration_window[chan]
length = np.sum(windows, axis=1)
start = np.argmax(windows, axis=1)
end = start + length - 1
# Draw figures
ax_max_nei = {}
ax_min_nei = {}
fig_waveforms = plt.figure(figsize=(18, 9))
fig_waveforms.subplots_adjust(hspace=.5)
fig_camera = plt.figure(figsize=(15, 12))
ax_max_pix = fig_waveforms.add_subplot(4, 2, 1)
ax_min_pix = fig_waveforms.add_subplot(4, 2, 2)
ax_max_nei[0] = fig_waveforms.add_subplot(4, 2, 3)
ax_min_nei[0] = fig_waveforms.add_subplot(4, 2, 4)
ax_max_nei[1] = fig_waveforms.add_subplot(4, 2, 5)
ax_min_nei[1] = fig_waveforms.add_subplot(4, 2, 6)
ax_max_nei[2] = fig_waveforms.add_subplot(4, 2, 7)
ax_min_nei[2] = fig_waveforms.add_subplot(4, 2, 8)
ax_img_nei = fig_camera.add_subplot(2, 2, 1)
ax_img_max = fig_camera.add_subplot(2, 2, 2)
ax_img_true = fig_camera.add_subplot(2, 2, 3)
ax_img_cal = fig_camera.add_subplot(2, 2, 4)
plotter = CameraPlotter(event, geom_dict)
# Draw max pixel traces
plotter.draw_waveform(data_ped[max_pixel], ax_max_pix)
ax_max_pix.set_title("(Max) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(max_pixel,
true_pe[max_pixel],
measured_pe[max_pixel]))
ax_max_pix.set_ylabel("Amplitude-Ped (ADC)")
max_ylim = ax_max_pix.get_ylim()
plotter.draw_waveform_positionline(start[max_pixel], ax_max_pix)
plotter.draw_waveform_positionline(end[max_pixel], ax_max_pix)
for i, ax in ax_max_nei.items():
if len(max_pixel_nei) > i:
pix = max_pixel_nei[i]
plotter.draw_waveform(data_ped[pix], ax)
ax.set_title("(Max Nei) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(pix, true_pe[pix],
measured_pe[pix]))
ax.set_ylabel("Amplitude-Ped (ADC)")
ax.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[pix], ax)
plotter.draw_waveform_positionline(end[pix], ax)
# Draw min pixel traces
plotter.draw_waveform(data_ped[min_pixel], ax_min_pix)
ax_min_pix.set_title("(Min) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(min_pixel,
true_pe[min_pixel],
measured_pe[min_pixel]))
ax_min_pix.set_ylabel("Amplitude-Ped (ADC)")
ax_min_pix.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[min_pixel], ax_min_pix)
plotter.draw_waveform_positionline(end[min_pixel], ax_min_pix)
for i, ax in ax_min_nei.items():
if len(min_pixel_nei) > i:
pix = min_pixel_nei[i]
plotter.draw_waveform(data_ped[pix], ax)
ax.set_title("(Min Nei) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(pix, true_pe[pix],
measured_pe[pix]))
ax.set_ylabel("Amplitude-Ped (ADC)")
ax.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[pix], ax)
plotter.draw_waveform_positionline(end[pix], ax)
# Draw cameras
nei_camera = np.zeros_like(max_charges, dtype=np.int)
nei_camera[min_pixel_nei] = 2
nei_camera[min_pixel] = 1
nei_camera[max_pixel_nei] = 3
nei_camera[max_pixel] = 4
camera = plotter.draw_camera(telid, nei_camera, ax_img_nei)
camera.cmap = plt.cm.viridis
ax_img_nei.set_title("Neighbour Map")
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_nei)
camera = plotter.draw_camera(telid, data_ped[:, max_time], ax_img_max)
camera.add_colorbar(ax=ax_img_max, label="Amplitude-Ped (ADC)")
ax_img_max.set_title("Max Timeslice (T = {})".format(max_time))
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_max)
camera = plotter.draw_camera(telid, true_pe, ax_img_true)
camera.add_colorbar(ax=ax_img_true, label="True Charge (Photo-electrons)")
ax_img_true.set_title("True Charge")
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_true)
int_dict, inverted = integrator_dict()
integrator_name = '' if 'integrator' not in params else \
params['integrator']
camera = plotter.draw_camera(telid, measured_pe, ax_img_cal)
camera.add_colorbar(ax=ax_img_cal, label="Calib Charge (Photo-electrons)")
ax_img_cal.set_title("Charge (integrator={})".format(integrator_name))
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_cal)
fig_waveforms.suptitle("Integrator = {}".format(integrator_name))
fig_camera.suptitle("Camera = {}".format(geom.cam_id))
waveform_output_name = "{}_e{}_t{}_c{}_integrator{}_waveform.pdf"\
.format(input_file.filename, event.count, telid, chan,
inverted[params['integrator']])
camera_output_name = "{}_e{}_t{}_c{}_integrator{}_camera.pdf"\
.format(input_file.filename, event.count, telid, chan,
inverted[params['integrator']])
output_dir = args.output_dir if args.output_dir is not None else \
input_file.output_directory
output_dir = os.path.join(output_dir, script)
if not os.path.exists(output_dir):
log.info("[output] Creating directory: {}".format(output_dir))
os.makedirs(output_dir)
waveform_output_path = os.path.join(output_dir, waveform_output_name)
log.info("[output] {}".format(waveform_output_path))
fig_waveforms.savefig(waveform_output_path,
format='pdf',
bbox_inches='tight')
camera_output_path = os.path.join(output_dir, camera_output_name)
log.info("[output] {}".format(camera_output_path))
fig_camera.savefig(camera_output_path, format='pdf', bbox_inches='tight')
log.info("[COMPLETE]")
def calibrate_event(event, params, geom_dict=None):
"""
Generic calibrator for events. Calls the calibrator corresponding to the
source of the event, and stores the dl1 (pe_charge) information into a
new event container.
Parameters
----------
event : container
A `ctapipe` event container
params : dict
REQUIRED:
params['integrator'] - Integration scheme
params['integration_window'] - Integration window size and shift of
integration window centre
(adapted such that window fits into readout).
OPTIONAL:
params['integration_clip_amp'] - Amplitude in p.e. above which the
signal is clipped.
params['integration_calib_scale'] : Identical to global variable
CALIB_SCALE in reconstruct.c in hessioxxx software package. 0.92 is
the default value (corresponds to HESS). The required value changes
between cameras (GCT = 1.05).
params['integration_sigamp'] - Amplitude in ADC counts above pedestal
at which a signal is considered as significant (separate for
high gain/low gain).
geom_dict : dict
Dict of pixel geometry for each telescope. Leave as None for automatic
calculation when it is required.
dict[(num_pixels, focal_length)] = `ctapipe.io.CameraGeometry`
Returns
-------
calibrated : container
A new `ctapipe` event container containing the dl1 information, and a
reference to all other information contained in the original event
container.
"""
# Obtain relevent calibrator
switch = {
'hessio':
partial(mc.calibrate_mc, event=event, params=params)
}
try:
calibrator = switch[event.meta.source]
except KeyError:
log.exception("no calibration created for data origin: '{}'"
.format(event.meta.source))
raise
calibrated = copy(event)
# Add dl1 to the event container (if it hasn't already been added)
try:
calibrated.add_item("dl1", RawData())
calibrated.dl1.run_id = event.dl0.run_id
calibrated.dl1.event_id = event.dl0.event_id
calibrated.dl1.tels_with_data = event.dl0.tels_with_data
calibrated.dl1.calibration_parameters = params
except AttributeError:
pass
# Fill dl1
calibrated.dl1.tel = dict() # clear the previous telescopes
for telid in event.dl0.tels_with_data:
nchan = event.dl0.tel[telid].num_channels
npix = event.dl0.tel[telid].num_pixels
calibrated.dl1.tel[telid] = CalibratedCameraData(telid)
calibrated.dl1.tel[telid].num_channels = nchan
calibrated.dl1.tel[telid].num_pixels = npix
# Get geometry
int_dict, inverted = integrator_dict()
geom = None
cam_dimensions = (event.dl0.tel[telid].num_pixels,
event.meta.optical_foclen[telid])
# Check if geom is even needed for integrator
if inverted[params['integrator']] in integrators_requiring_geom():
if geom_dict is not None and telid in geom_dict:
geom = geom_dict[telid]
else:
log.debug("[calib] Guessing camera geometry")
geom = CameraGeometry.guess(*event.meta.pixel_pos[telid],
event.meta.optical_foclen[telid])
log.debug("[calib] Camera geometry found")
if geom_dict is not None:
geom_dict[telid] = geom
pe, window, data_ped, peakpos = calibrator(telid=telid, geom=geom)
calibrated.dl1.tel[telid].pe_charge = pe
calibrated.dl1.tel[telid].peakpos = peakpos
for chan in range(nchan):
calibrated.dl1.tel[telid].integration_window[chan] = window[chan]
calibrated.dl1.tel[telid].pedestal_subtracted_adc[chan] = \
data_ped[chan]
return calibrated
def calibrate_event(event, params, geom_dict=None):
"""
Generic calibrator for events. Calls the calibrator corresponding to the
source of the event, and stores the dl1 (calibrated_image) information into a
new event container.
Parameters
----------
event : container
A `ctapipe` event container
params : dict
REQUIRED:
params['integrator'] - Integration scheme
params['integration_window'] - Integration window size and shift of
integration window centre
(adapted such that window fits into readout).
OPTIONAL:
params['integration_clip_amp'] - Amplitude in p.e. above which the
signal is clipped.
params['integration_calib_scale'] : Identical to global variable
CALIB_SCALE in reconstruct.c in hessioxxx software package. 0.92 is
the default value (corresponds to HESS). The required value changes
between cameras (GCT = 1.05).
params['integration_sigamp'] - Amplitude in ADC counts above pedestal
at which a signal is considered as significant (separate for
high gain/low gain).
geom_dict : dict
Dict of pixel geometry for each telescope. Leave as None for automatic
calculation when it is required.
dict[(num_pixels, focal_length)] = `ctapipe.io.CameraGeometry`
Returns
-------
calibrated : container
A new `ctapipe` event container containing the dl1 information, and a
reference to all other information contained in the original event
container.
"""
# Obtain relevent calibrator
switch = {
'hessio':
partial(mc.calibrate_mc, event=event, params=params)
}
try:
calibrator = switch[event.meta['source']]
except KeyError:
log.exception("no calibration created for data origin: '{}'"
.format(event.meta['source']))
raise
# KPK: should not copy the event here! there is no reason to
# Copying is
# up to the user if they want to do it, not in the algorithms.
# calibrated = copy(event)
# params stored in metadata
event.dl1.meta.update(params)
# Fill dl1
event.dl1.reset()
for telid in event.dl0.tels_with_data:
nchan = event.inst.num_channels[telid]
npix = event.inst.num_pixels[telid]
event.dl1.tel[telid] = CalibratedCameraContainer()
# Get geometry
int_dict, inverted = integrator_dict()
geom = None
# Check if geom is even needed for integrator
if inverted[params['integrator']] in integrators_requiring_geom():
if geom_dict is not None and telid in geom_dict:
geom = geom_dict[telid]
else:
log.debug("[calib] Guessing camera geometry")
geom = CameraGeometry.guess(*event.inst.pixel_pos[telid],
event.inst.optical_foclen[telid])
log.debug("[calib] Camera geometry found")
if geom_dict is not None:
geom_dict[telid] = geom
pe, window, data_ped, peakpos = calibrator(telid=telid, geom=geom)
tel = event.dl1.tel[telid]
tel.calibrated_image = pe
tel.peakpos = peakpos
for chan in range(nchan):
tel.integration_window[chan] = window[chan]
tel.pedestal_subtracted_adc[chan] = data_ped[chan]
return event
def main():
script = os.path.splitext(os.path.basename(__file__))[0]
log.info("[SCRIPT] {}".format(script))
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-f', '--file', dest='input_path', action='store',
default=get_path('gamma_test.simtel.gz'),
help='path to the input file')
parser.add_argument('-O', '--origin', dest='origin', action='store',
choices=InputFile.origin_list(),
default='hessio', help='origin of the file')
parser.add_argument('-o', '--output', dest='output_dir', action='store',
default=None,
help='path of the output directory to store the '
'images (default = input file directory)')
parser.add_argument('-e', '--event', dest='event_req', action='store',
default=0, type=int,
help='event index to plot (not id!)')
parser.add_argument('--id', dest='event_id_f', action='store_true',
default=False, help='-e will specify event_id instead '
'of index')
parser.add_argument('-t', '--telescope', dest='tel', action='store',
type=int, default=None, help='telecope to view')
parser.add_argument('-c', '--channel', dest='chan', action='store',
type=int, default=0,
help='channel to view (default = 0 (HG))')
parser.add_argument('--calib-help', dest='calib_help', action='store_true',
default=False,
help='display the arguments used for the camera '
'calibration')
logger_detail = parser.add_mutually_exclusive_group()
logger_detail.add_argument('-q', '--quiet', dest='quiet',
action='store_true', default=False,
help='Quiet mode')
logger_detail.add_argument('-v', '--verbose', dest='verbose',
action='store_true', default=False,
help='Verbose mode')
logger_detail.add_argument('-d', '--debug', dest='debug',
action='store_true', default=False,
help='Debug mode')
args, excess_args = parser.parse_known_args()
if args.quiet:
log.setLevel(40)
if args.verbose:
log.setLevel(20)
if args.debug:
log.setLevel(10)
telid = args.tel
chan = args.chan
log.debug("[file] Reading file")
input_file = InputFile(args.input_path, args.origin)
event = input_file.get_event(args.event_req, args.event_id_f)
# Print event/args values
log.info("[event_index] {}".format(event.count))
log.info("[event_id] {}".format(event.dl0.event_id))
log.info("[telescope] {}".format(telid))
log.info("[channel] {}".format(chan))
params, unknown_args = calibration_parameters(excess_args,
args.origin,
args.calib_help)
if unknown_args:
parser.print_help()
calibration_parameters(unknown_args, args.origin, True)
msg = 'unrecognized arguments: %s'
parser.error(msg % ' '.join(unknown_args))
# Create a dictionary to store any geoms in
geom = CameraGeometry.guess(*event.meta.pixel_pos[telid],
event.meta.optical_foclen[telid])
geom_dict = {telid: geom}
calibrated_event = calibrate_event(event, params, geom_dict)
# Select telescope
tels = list(calibrated_event.dl0.tels_with_data)
if telid is None or telid not in tels:
log.error("[event] please specify one of the following telescopes "
"for this event: {}".format(tels))
exit()
# Extract required images
data_ped = calibrated_event.dl1.tel[telid].pedestal_subtracted_adc[chan]
true_pe = calibrated_event.mc.tel[telid].photo_electrons
measured_pe = calibrated_event.dl1.tel[telid].pe_charge
max_time = np.unravel_index(np.argmax(data_ped), data_ped.shape)[1]
max_charges = np.max(data_ped, axis=1)
max_pixel = int(np.argmax(max_charges))
min_pixel = int(np.argmin(max_charges))
# Get Neighbours
max_pixel_nei = geom.neighbors[max_pixel]
min_pixel_nei = geom.neighbors[min_pixel]
# Get Windows
windows = calibrated_event.dl1.tel[telid].integration_window[chan]
length = np.sum(windows, axis=1)
start = np.argmax(windows, axis=1)
end = start + length - 1
# Draw figures
ax_max_nei = {}
ax_min_nei = {}
fig_waveforms = plt.figure(figsize=(18, 9))
fig_waveforms.subplots_adjust(hspace=.5)
fig_camera = plt.figure(figsize=(15, 12))
ax_max_pix = fig_waveforms.add_subplot(4, 2, 1)
ax_min_pix = fig_waveforms.add_subplot(4, 2, 2)
ax_max_nei[0] = fig_waveforms.add_subplot(4, 2, 3)
ax_min_nei[0] = fig_waveforms.add_subplot(4, 2, 4)
ax_max_nei[1] = fig_waveforms.add_subplot(4, 2, 5)
ax_min_nei[1] = fig_waveforms.add_subplot(4, 2, 6)
ax_max_nei[2] = fig_waveforms.add_subplot(4, 2, 7)
ax_min_nei[2] = fig_waveforms.add_subplot(4, 2, 8)
ax_img_nei = fig_camera.add_subplot(2, 2, 1)
ax_img_max = fig_camera.add_subplot(2, 2, 2)
ax_img_true = fig_camera.add_subplot(2, 2, 3)
ax_img_cal = fig_camera.add_subplot(2, 2, 4)
plotter = CameraPlotter(event, geom_dict)
# Draw max pixel traces
plotter.draw_waveform(data_ped[max_pixel], ax_max_pix)
ax_max_pix.set_title("(Max) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(max_pixel,
true_pe[max_pixel],
measured_pe[max_pixel]))
ax_max_pix.set_ylabel("Amplitude-Ped (ADC)")
max_ylim = ax_max_pix.get_ylim()
plotter.draw_waveform_positionline(start[max_pixel], ax_max_pix)
plotter.draw_waveform_positionline(end[max_pixel], ax_max_pix)
for i, ax in ax_max_nei.items():
if len(max_pixel_nei) > i:
pix = max_pixel_nei[i]
plotter.draw_waveform(data_ped[pix], ax)
ax.set_title("(Max Nei) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(pix, true_pe[pix],
measured_pe[pix]))
ax.set_ylabel("Amplitude-Ped (ADC)")
ax.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[pix], ax)
plotter.draw_waveform_positionline(end[pix], ax)
# Draw min pixel traces
plotter.draw_waveform(data_ped[min_pixel], ax_min_pix)
ax_min_pix.set_title("(Min) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(min_pixel,
true_pe[min_pixel],
measured_pe[min_pixel]))
ax_min_pix.set_ylabel("Amplitude-Ped (ADC)")
ax_min_pix.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[min_pixel], ax_min_pix)
plotter.draw_waveform_positionline(end[min_pixel], ax_min_pix)
for i, ax in ax_min_nei.items():
if len(min_pixel_nei) > i:
pix = min_pixel_nei[i]
plotter.draw_waveform(data_ped[pix], ax)
ax.set_title("(Min Nei) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(pix, true_pe[pix],
measured_pe[pix]))
ax.set_ylabel("Amplitude-Ped (ADC)")
ax.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[pix], ax)
plotter.draw_waveform_positionline(end[pix], ax)
# Draw cameras
nei_camera = np.zeros_like(max_charges, dtype=np.int)
nei_camera[min_pixel_nei] = 2
nei_camera[min_pixel] = 1
nei_camera[max_pixel_nei] = 3
nei_camera[max_pixel] = 4
camera = plotter.draw_camera(telid, nei_camera, ax_img_nei)
camera.cmap = plt.cm.viridis
ax_img_nei.set_title("Neighbour Map")
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_nei)
camera = plotter.draw_camera(telid, data_ped[:, max_time], ax_img_max)
camera.add_colorbar(ax=ax_img_max, label="Amplitude-Ped (ADC)")
ax_img_max.set_title("Max Timeslice (T = {})".format(max_time))
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_max)
camera = plotter.draw_camera(telid, true_pe, ax_img_true)
camera.add_colorbar(ax=ax_img_true, label="True Charge (Photo-electrons)")
ax_img_true.set_title("True Charge")
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_true)
int_dict, inverted = integrator_dict()
integrator_name = '' if 'integrator' not in params else \
params['integrator']
camera = plotter.draw_camera(telid, measured_pe, ax_img_cal)
camera.add_colorbar(ax=ax_img_cal, label="Calib Charge (Photo-electrons)")
ax_img_cal.set_title("Charge (integrator={})".format(integrator_name))
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_cal)
fig_waveforms.suptitle("Integrator = {}".format(integrator_name))
fig_camera.suptitle("Camera = {}".format(geom.cam_id))
waveform_output_name = "{}_e{}_t{}_c{}_integrator{}_waveform.pdf"\
.format(input_file.filename, event.count, telid, chan,
inverted[params['integrator']])
camera_output_name = "{}_e{}_t{}_c{}_integrator{}_camera.pdf"\
.format(input_file.filename, event.count, telid, chan,
inverted[params['integrator']])
output_dir = args.output_dir if args.output_dir is not None else \
input_file.output_directory
output_dir = os.path.join(output_dir, script)
if not os.path.exists(output_dir):
log.info("[output] Creating directory: {}".format(output_dir))
os.makedirs(output_dir)
waveform_output_path = os.path.join(output_dir, waveform_output_name)
log.info("[output] {}".format(waveform_output_path))
fig_waveforms.savefig(waveform_output_path, format='pdf',
bbox_inches='tight')
camera_output_path = os.path.join(output_dir, camera_output_name)
log.info("[output] {}".format(camera_output_path))
fig_camera.savefig(camera_output_path, format='pdf', bbox_inches='tight')
log.info("[COMPLETE]")