__version__ = '0.0.1'
depends_on = 'peaks_he'
provides = 'peak_basics_he'
child_ends_with = '_he'
def compute(self, peaks_he):
return super().compute(peaks_he)
@export
@strax.takes_config(
strax.Option(
'nn_architecture',
help='Path to JSON of neural net architecture',
default_by_run=[
(0, pax_file('XENON1T_tensorflow_nn_pos_20171217_sr0.json')),
(first_sr1_run, straxen.aux_repo +
'master/XENON1T_tensorflow_nn_pos_20171217_sr1_reformatted.json')
]), # noqa
strax.Option(
'nn_weights',
help='Path to HDF5 of neural net weights',
default_by_run=[
(0, pax_file('XENON1T_tensorflow_nn_pos_weights_20171217_sr0.h5')),
(first_sr1_run,
pax_file('XENON1T_tensorflow_nn_pos_weights_20171217_sr1.h5'))
]), # noqa
strax.Option('min_reconstruction_area',
help='Skip reconstruction if area (PE) is less than this',
default=10),
strax.Option('n_top_pmts',
return result
@export
@strax.takes_config(
strax.Option(
name='electron_drift_velocity',
help='Vertical electron drift velocity in cm/ns (1e4 m/ms)',
default=1.3325e-4
),
strax.Option(
'fdc_map',
help='3D field distortion correction map path',
default_by_run=[
(0, pax_file('XENON1T_FDC_SR0_data_driven_3d_correction_tf_nn_v0.json.gz')), # noqa
(first_sr1_run, pax_file('XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part1_v1.json.gz')), # noqa
(170411_0611, pax_file('XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part2_v1.json.gz')), # noqa
(170704_0556, pax_file('XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part3_v1.json.gz')), # noqa
(170925_0622, pax_file('XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part4_v1.json.gz'))]), # noqa
)
class EventPositions(strax.Plugin):
__version__ = '0.1.1'
depends_on = ('event_basics',)
dtype = [
('x', np.float32,
'Interaction x-position, field-distortion corrected (cm)'),
('y', np.float32,
'Interaction y-position, field-distortion corrected (cm)'),
('z', np.float32,
'x': list(range(120)),
'y': list(range(120)),
'z': list(range(120))}
# Some configs are better obtained from the strax_auxiliary_files repo.
# Let's use small files, we don't want to spend a lot of time downloading
# some file.
testing_config_nT = dict(
nn_architecture=
aux_repo + 'f0df03e1f45b5bdd9be364c5caefdaf3c74e044e/fax_files/mlp_model.json',
nn_weights=
aux_repo + 'f0df03e1f45b5bdd9be364c5caefdaf3c74e044e/fax_files/mlp_model.h5',
gain_model=
('to_pe_per_run',
aux_repo + '58e615f99a4a6b15e97b12951c510de91ce06045/fax_files/to_pe_nt.npy'),
s2_xy_correction_map=pax_file('XENON1T_s2_xy_ly_SR0_24Feb2017.json'),
elife_conf=aux_repo + '3548132b55f81a43654dba5141366041e1daaf01/strax_files/elife.npy',
baseline_samples_nv=10,
fdc_map=pax_file('XENON1T_FDC_SR0_data_driven_3d_correction_tf_nn_v0.json.gz'),
gain_model_nv=("to_pe_constant", "adc_nv"),
nveto_pmt_position_map=nveto_pmt_dummy_df,
s1_xyz_correction_map=pax_file('XENON1T_s1_xyz_lce_true_kr83m_SR0_pax-680_fdc-3d_v0.json'),
)
testing_config_1T = dict(
hev_gain_model=('to_pe_constant', 0.0085),
gain_model=('to_pe_constant', 0.0085),
elife_conf=aux_repo + '3548132b55f81a43654dba5141366041e1daaf01/strax_files/elife.npy',
)
test_run_id_nT = '008900'
secondary_s[2]['center_time'] - main_s[1]['center_time']
return result
@export
@strax.takes_config(
strax.Option(name='electron_drift_velocity',
help='Vertical electron drift velocity in cm/ns (1e4 m/ms)',
default=1.3325e-4),
strax.Option(
'fdc_map',
help='3D field distortion correction map path',
default_by_run=[
(0,
pax_file(
'XENON1T_FDC_SR0_data_driven_3d_correction_tf_nn_v0.json.gz')
), # noqa
(first_sr1_run,
pax_file(
'XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part1_v1.json.gz'
)), # noqa
(170411_0611,
pax_file(
'XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part2_v1.json.gz'
)), # noqa
(170704_0556,
pax_file(
'XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part3_v1.json.gz'
)), # noqa
(170925_0622,
pax_file(
res['alt_s1_index'] = s1_idx[1]
if len(s2_idx):
res['s2_index'] = s2_idx[0]
if len(s2_idx) > 1:
res['alt_s2_index'] = s2_idx[1]
@export
@strax.takes_config(
strax.Option(
name='fdc_map',
infer_type=False,
help='3D field distortion correction map path',
default_by_run=[
(0,
pax_file(
'XENON1T_FDC_SR0_data_driven_3d_correction_tf_nn_v0.json.gz')
), # noqa
(first_sr1_run,
pax_file(
'XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part1_v1.json.gz'
)), # noqa
(170411_0611,
pax_file(
'XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part2_v1.json.gz'
)), # noqa
(170704_0556,
pax_file(
'XENON1T_FDC_SR1_data_driven_time_dependent_3d_correction_tf_nn_part3_v1.json.gz'
)), # noqa
(170925_0622,
pax_file(