def entry():
args = docopt(__doc__)
inputs = args['<input_files>']
output_hist = args['--output_hist']
delays_ns = convert_list_float(args['--delays_ns'])
time_range_ns = convert_list_float(args['--time_range_ns'])
amplitude_range = convert_list_float(args['--amplitude_range'])
integration_range = convert_list_int(args['--integration_range'])
charge_range = convert_list_float(args['--charge_range'])
n_bin = convert_int(args['--n_bin'])
disable_bar = args['--disable_bar']
if output_hist is None:
output_hist = os.path.splitext(inputs[0])[0] + '.fits.gz'
print('options selected:')
print('input_files:', inputs)
print('output_hist:', output_hist)
print('time_range_ns:', time_range_ns)
print('amplitude_range:', amplitude_range)
print('integration_range:', integration_range)
print('charge_range:', charge_range)
print('n_bin:', n_bin)
main(input_files=inputs,
output_hist=output_hist,
delays_ns=delays_ns,
time_range_ns=time_range_ns,
amplitude_range=amplitude_range,
integration_range=integration_range,
charge_range=charge_range,
n_bin=n_bin,
disable_bar=disable_bar)
def entry():
args = docopt(__doc__)
hillas_file = args['<INPUT>']
alphas_min = convert_list_float(args['--alphas_min'])
plot_scan2d = convert_text(args['--plot_scan2d'])
plot_showers_center = convert_text(args['--plot_showers_center'])
plot_hillas = convert_text(args['--plot_hillas'])
plot_correlation_all = convert_text(args['--plot_correl_all'])
plot_correlation_selected = convert_text(args['--plot_correl_selected'])
plot_correlation_cut = convert_text(args['--plot_correl_cut'])
disable_bar = args['--disable_bar']
xis = convert_list_float(args['--xis'])
plot_map_disp = convert_text(args['--plot_map_disp'])
plot_pipeline(
hillas_file=hillas_file,
cut_length_gte=None, # Whipple:43 # 2017:None
cut_length_lte=None, # Whipple:16 # 2017:None
cut_width_gte=None, # Whipple:16 # 2017:None
cut_width_lte=None, # Whipple:7.3 # 2017:None
cut_length_over_width_gte=3, # Whipple:None # 2017:3
cut_length_over_width_lte=1.5, # Whipple:None # 2017:1.5
cut_intensity_gte=None,
cut_intensity_lte=100, # Whipple:None # 2017: 100?
cut_skewness_gte=None,
cut_skewness_lte=None,
cut_border_eq=True,
cut_burst_eq=True,
cut_saturated_eq=None,
cut_led_on_eq=True,
cut_led_blink_eq=True,
cut_target_ra_gte=85,
cut_target_ra_lte=82,
cut_target_dec_gte=23,
cut_target_dec_lte=21,
cut_nsb_rate_gte=0.6 ,
cut_nsb_rate_lte=.1,
cut_r_gte=None ,
cut_r_lte=None,
cut_n_island_gte=2,
alphas_min=alphas_min,
plot_scan2d=plot_scan2d,
plot_showers_center=plot_showers_center,
plot_hillas=plot_hillas,
plot_correlation_all=plot_correlation_all,
plot_correlation_selected=plot_correlation_selected,
plot_correlation_cut=plot_correlation_cut,
plot_map_disp=plot_map_disp,
xis=xis,
print_events=0,
disable_bar=disable_bar,
)
def entry():
args = docopt(__doc__)
files = args['<INPUT>']
ac_levels = convert_list_int(args['--ac_levels'])
dc_levels = convert_list_int(args['--dc_levels'])
if len(dc_levels) == 1:
dc_levels = [
dc_levels[0],
] * len(ac_levels)
assert len(ac_levels) == len(files)
max_events = convert_int(args['--max_events'])
delay_step_ns = convert_float(args['--delay_step_ns'])
time_range_ns = convert_list_float(args['--time_range_ns'])
normalize_range = convert_list_int(args['--normalize_range'])
sampling_ns = 4
parameters = convert_text(args['--parameters'])
template = convert_text(args['--template'])
output = convert_text(args['--output'])
if parameters is None:
parameters = parameters_default
if template is None:
template = template_default
main(files=files,
ac_levels=ac_levels,
dc_levels=dc_levels,
max_events=max_events,
delay_step_ns=delay_step_ns,
time_range_ns=time_range_ns,
sampling_ns=sampling_ns,
normalize_range=normalize_range,
parameters=parameters,
template=template,
adc_noise=1.,
output=output)