def test_r0_to_dl1_filename():
from lstchain.paths import r0_to_dl1_filename
assert str(r0_to_dl1_filename('/foo/test.simtel.gz')) == '/foo/dl1_test.h5'
assert str(r0_to_dl1_filename('test.simtel')) == 'dl1_test.h5'
assert str(
r0_to_dl1_filename('LST1_custom.fits.fz')) == 'dl1_LST1_custom.h5'
def main():
args = parser.parse_args()
# using a default of None and only using get_dataset_path here
# prevents downloading gamma_test_large when an input file is actually given
# or just --help is called.
if args.input_file is None:
args.input_file = get_dataset_path('gamma_test_large.simtel.gz')
output_dir = args.output_dir.absolute()
output_dir.mkdir(exist_ok=True, parents=True)
output_file = output_dir / r0_to_dl1_filename(args.input_file.name)
r0_to_dl1.allowed_tels = {1, 2, 3, 4}
config = {}
if args.config_file is not None:
try:
config = read_configuration_file(args.config_file.absolute())
except Exception as e:
log.error(f'Config file {args.config_file} could not be read: {e}')
sys.exit(1)
r0_to_dl1.r0_to_dl1(
args.input_file,
output_filename=output_file,
custom_config=config,
)
def main():
ctaplot.set_style()
output_dir = args.output_dir.absolute()
output_dir.mkdir(exist_ok=True, parents=True)
output_file = output_dir / r0_to_dl1_filename(args.input_file.name)
r0_to_dl1.allowed_tels = {1, 2, 3, 4}
if args.config_file is not None:
try:
config = read_configuration_file(args.config_file.absolute())
except Exception as e:
log.error(f'Config file {args.config_file} could not be read: {e}')
sys.exit(1)
else:
config = get_standard_config()
# This benchmark needs true pe image
config['write_pe_image'] = True
# directly jump to the benchmarks if the dl1 file already exists
if not os.path.exists(output_file):
r0_to_dl1.r0_to_dl1(
args.input_file,
output_filename=output_file,
custom_config=config,
)
with tables.open_file(output_file) as f:
sim_table = Table(f.root.dl1.event.simulation.LST_LSTCam.read())
im_table = Table(f.root.dl1.event.telescope.image.LST_LSTCam.read())
if len(sim_table) != len(im_table):
raise ValueError(
'the number of events with simulation info is not equal to the number of dl1 events'
)
pdf_filename = os.path.join(
args.output_dir,
f"charge_bench_{os.path.basename(output_file).replace('.h5', '')}.pdf")
with PdfPages(pdf_filename) as pdf:
plot_pixels_pe_spectrum(sim_table['true_image'], im_table['image'])
plt.tight_layout()
pdf.savefig()
plt.close()
plot_photoelectron_true_reco(sim_table['true_image'],
im_table['image'])
plt.tight_layout()
pdf.savefig()
plt.close()
ax = plot_charge_resolution(sim_table['true_image'], im_table['image'])
ax.set_ylim(-1, 10)
plt.tight_layout()
pdf.savefig()
plt.close()
def main():
outdir = args.outdir.absolute()
dl1_file = outdir / r0_to_dl1_filename(args.datafile.name)
cmd_r0_to_dl1 = f'lstchain_mc_r0_to_dl1 -f {args.datafile} -o {outdir}'
if args.config_file is not None:
cmd_r0_to_dl1 = cmd_r0_to_dl1 + f' -conf {args.config_file}'
cmd_dl1_to_dl2 = f'lstchain_dl1_to_dl2 -f {dl1_file} -p {args.path_models} -o {outdir}'
if args.config_file is not None:
cmd_dl1_to_dl2 = cmd_dl1_to_dl2 + f' -conf {args.config_file}'
os.system(cmd_r0_to_dl1)
os.system(cmd_dl1_to_dl2)
if not args.store_dl1:
os.remove(dl1_file)
def main():
output_dir = args.output_dir.absolute()
output_dir.mkdir(exist_ok=True)
if not args.input_file.is_file():
log.error('Input file does not exist or is not a file')
sys.exit(1)
log.setLevel(logging.INFO)
handler = logging.StreamHandler()
logging.getLogger().addHandler(handler)
r0_to_dl1.allowed_tels = {1, 2, 3, 4}
# test if this matches data file name pattern
try:
run = parse_r0_filename(args.input_file)
output_filename = output_dir / run_to_dl1_filename(
run.tel_id, run.run, run.subrun)
except ValueError:
# for arbitrary filenames, including mc
output_filename = output_dir / r0_to_dl1_filename(args.input_file.name)
config = {}
if args.config_file is not None:
try:
config = read_configuration_file(args.config_file)
except Exception as e:
log.error(f'Configuration file could not be read: {e}')
sys.exit(1)
config["max_events"] = args.max_events
r0_to_dl1.r0_to_dl1(args.input_file,
output_filename=output_filename,
custom_config=config,
pedestal_path=args.pedestal_file,
calibration_path=args.calibration_file,
time_calibration_path=args.time_calibration_file,
pointing_file_path=args.pointing_file,
ucts_t0_dragon=args.ucts_t0_dragon,
dragon_counter0=args.dragon_counter0,
ucts_t0_tib=args.ucts_t0_tib,
tib_counter0=args.tib_counter0)
def main():
output_dir = args.output_dir.absolute()
output_dir.mkdir(exist_ok=True)
output_file = output_dir / r0_to_dl1_filename(args.input_file.name)
r0_to_dl1.allowed_tels = {1, 2, 3, 4}
config = {}
if args.config_file is not None:
try:
config = read_configuration_file(args.config_file.absolute())
except Exception as e:
log.error(f'Config file {args.config_file} could not be read: {e}')
sys.exit(1)
r0_to_dl1.r0_to_dl1(
args.input_file,
output_filename=output_file,
custom_config=config,
)
def main():
args = parser.parse_args()
# using a default of None and only using get_dataset_path here
# prevents downloading gamma_test_large when an input file is actually given
# or just --help is called.
if args.datafile is None:
args.datafile = get_dataset_path('gamma_test_large.simtel.gz')
output_dir = args.output_dir.absolute()
dl1_file = output_dir / r0_to_dl1_filename(args.datafile.name)
cmd_r0_to_dl1 = [
'lstchain_mc_r0_to_dl1',
'-f',
str(args.datafile),
'-o',
str(output_dir),
]
if args.config_file is not None:
cmd_r0_to_dl1.extend(['--config', str(args.config_file)])
cmd_dl1_to_dl2 = [
'lstchain_dl1_to_dl2',
'-f',
str(dl1_file),
'-p',
str(args.path_models),
'-o',
str(output_dir),
]
if args.config_file is not None:
cmd_dl1_to_dl2.extend(['--config', str(args.config_file)])
sp.run(cmd_r0_to_dl1, check=True)
sp.run(cmd_dl1_to_dl2, check=True)
if args.no_dl1:
os.remove(dl1_file)
def main():
logging.basicConfig()
logging.getLogger("lstchain.reco.r0_to_dl1").setLevel(args.log_level)
logging.getLogger("lstchain.reco.reconstructor").setLevel(args.log_level)
output_dir = args.output_dir.absolute()
output_dir.mkdir(exist_ok=True)
output_file = output_dir / r0_to_dl1_filename(args.input_file.name)
r0_to_dl1.allowed_tels = {1, 2, 3, 4}
config = {}
if args.config_file is not None:
try:
config = read_configuration_file(args.config_file.absolute())
except Exception as e:
log.error(f'Config file {args.config_file} could not be read: {e}')
sys.exit(1)
r0_to_dl1.r0_to_dl1(
args.input_file,
output_filename=output_file,
custom_config=config,
)
def main():
args = parser.parse_args()
output_dir = args.output_dir.absolute()
output_dir.mkdir(exist_ok=True, parents=True)
if not args.input_file.is_file():
log.error('Input file does not exist or is not a file')
sys.exit(1)
log.setLevel(logging.INFO)
handler = logging.StreamHandler()
logging.getLogger().addHandler(handler)
r0_to_dl1.allowed_tels = {1, 2, 3, 4}
# test if this matches data file name pattern
try:
run = parse_r0_filename(args.input_file)
output_filename = output_dir / run_to_dl1_filename(
run.tel_id, run.run, run.subrun)
except ValueError:
# for arbitrary filenames, including mc
output_filename = output_dir / r0_to_dl1_filename(args.input_file.name)
config = {}
if args.config_file is not None:
try:
config = read_configuration_file(args.config_file)
except Exception as e:
log.error(f'Configuration file could not be read: {e}')
sys.exit(1)
else:
config = standard_config
# Add to configuration config the parameters provided through command-line,
# which supersede those in the file:
if args.max_events is not None:
config['source_config']['EventSource']['max_events'] = args.max_events
lst_event_source = config['source_config']['LSTEventSource']
time_calculator = lst_event_source['EventTimeCalculator']
if args.dragon_reference_time is not None:
time_calculator['dragon_reference_time'] = args.dragon_reference_time
if args.dragon_reference_counter is not None:
time_calculator[
'dragon_reference_counter'] = args.dragon_reference_counter
if args.dragon_module_id is not None:
time_calculator['dragon_module_id'] = args.dragon_module_id
if args.run_summary_path is not None:
time_calculator['run_summary_path'] = args.run_summary_path
if args.pointing_file is not None:
lst_event_source['PointingSource'][
'drive_report_path'] = args.pointing_file
if args.pedestal_ids_path is not None:
lst_event_source['pedestal_ids_path'] = args.pedestal_ids_path
if args.default_trigger_type is not None:
lst_event_source["default_trigger_type"] = args.default_trigger_type
lst_r0_corrections = lst_event_source['LSTR0Corrections']
if args.pedestal_file is not None:
lst_r0_corrections['drs4_pedestal_path'] = args.pedestal_file
if args.calibration_file is not None:
lst_r0_corrections['calibration_path'] = args.calibration_file
if args.time_calibration_file is not None:
lst_r0_corrections[
'drs4_time_calibration_path'] = args.time_calibration_file
calib_config = config[config['calibration_product']]
if args.systematic_correction_file is not None:
calib_config[
'systematic_correction_path'] = args.systematic_correction_file
lst_event_source["use_flatfield_heuristic"] = args.use_flatfield_heuristic
r0_to_dl1.r0_to_dl1(
args.input_file,
output_filename=output_filename,
custom_config=config,
)
