Straxen 1T datastructure

This page is an autogenerated reference for all the plugins in straxen’s xenon1t_dali context.

Colors indicate data kinds. To load tables with different data kinds, you currently need more than one get_df (or get_array) commands.

event_info_double

Description

Provided by plugin: EventInfoDouble

Data kind: events

Alternate version of event_info for Kr and other double scatter analyses:

  • Uses a different naming convention: s1 -> s1_a, alt_s1 -> s1_b, and similarly for s2s;

  • Adds s1_b_distinct_channels, which can be tricky to compute (since it requires going back to peaks)

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cs1_a float32 Corrected area of main S1 [PE]
cs1_a_wo_timecorr float32 Corrected area of main S1 [PE] before time-dep LY correction
cs2_a_wo_elifecorr float32 Corrected area of main S2 before elife correction (s2 xy correction + SEG/EE correction applied) [PE]
cs2_a_wo_timecorr float32 Corrected area of main S2 before SEG/EE and elife corrections(s2 xy correction applied) [PE]
cs2_a_area_fraction_top float32 Fraction of area seen by the top PMT array for corrected main S2
cs2_a_bottom float32 Corrected area of main S2 in the bottom PMT array [PE]
cs2_a float32 Corrected area of main S2 [PE]
cs1_b float32 Corrected area of alternate S1 [PE]
cs1_b_wo_timecorr float32 Corrected area of alternate S1 [PE] before time-dep LY correction
cs2_b_wo_elifecorr float32 Corrected area of alternate S2 before elife correction (s2 xy correction + SEG/EE correction applied) [PE]
cs2_b_wo_timecorr float32 Corrected area of alternate S2 before SEG/EE and elife corrections(s2 xy correction applied) [PE]
cs2_b_area_fraction_top float32 Fraction of area seen by the top PMT array for corrected alternate S2
cs2_b_bottom float32 Corrected area of alternate S2 in the bottom PMT array [PE]
cs2_b float32 Corrected area of alternate S2 [PE]
e_light float32 Energy in light signal [keVee]
e_charge float32 Energy in charge signal [keVee]
e_ces float32 Energy estimate [keVee]
n_peaks int32 Number of peaks in the event
drift_time float32 Drift time between main S1 and S2 in ns
event_number int64 Event number in this dataset
s1_a_index int32 Main S1 peak index in event
s1_b_index int32 Alternate S1 peak index in event
s1_a_time int64 Main S1 start time since unix epoch [ns]
s1_b_time int64 Alternate S1 start time since unix epoch [ns]
s1_a_center_time int64 Main S1 weighted center time since unix epoch [ns]
s1_b_center_time int64 Alternate S1 weighted center time since unix epoch [ns]
s1_a_endtime int64 Main S1 end time since unix epoch [ns]
s1_b_endtime int64 Alternate S1 end time since unix epoch [ns]
s1_a_area float32 Main S1 area, uncorrected [PE]
s1_b_area float32 Alternate S1 area, uncorrected [PE]
s1_a_n_channels int16 Main S1 count of contributing PMTs
s1_b_n_channels int16 Alternate S1 count of contributing PMTs
s1_a_n_hits int16 Main S1 count of hits contributing at least one sample to the peak
s1_b_n_hits int16 Alternate S1 count of hits contributing at least one sample to the peak
s1_a_n_competing int32 Main S1 number of competing peaks
s1_b_n_competing int32 Alternate S1 number of competing peaks
s1_a_max_pmt int16 Main S1 PMT number which contributes the most PE
s1_b_max_pmt int16 Alternate S1 PMT number which contributes the most PE
s1_a_max_pmt_area float32 Main S1 area in the largest-contributing PMT (PE)
s1_b_max_pmt_area float32 Alternate S1 area in the largest-contributing PMT (PE)
s1_a_range_50p_area float32 Main S1 width, 50% area [ns]
s1_b_range_50p_area float32 Alternate S1 width, 50% area [ns]
s1_a_range_90p_area float32 Main S1 width, 90% area [ns]
s1_b_range_90p_area float32 Alternate S1 width, 90% area [ns]
s1_a_rise_time float32 Main S1 time between 10% and 50% area quantiles [ns]
s1_b_rise_time float32 Alternate S1 time between 10% and 50% area quantiles [ns]
s1_a_area_fraction_top float32 Main S1 fraction of area seen by the top PMT array
s1_b_area_fraction_top float32 Alternate S1 fraction of area seen by the top PMT array
s1_a_tight_coincidence int16 Main S1 Channel within tight range of mean
s1_b_tight_coincidence int16 Alternate S1 Channel within tight range of mean
s1_a_n_saturated_channels int16 Main S1 Total number of saturated channels
s1_b_n_saturated_channels int16 Alternate S1 Total number of saturated channels
s1_b_interaction_drift_time float32 Drift time using alternate S1 [ns]
ds_s1_dt int32 Time between main and alternate S1 [ns]
s2_a_index int32 Main S2 peak index in event
s2_b_index int32 Alternate S2 peak index in event
s2_a_time int64 Main S2 start time since unix epoch [ns]
s2_b_time int64 Alternate S2 start time since unix epoch [ns]
s2_a_center_time int64 Main S2 weighted center time since unix epoch [ns]
s2_b_center_time int64 Alternate S2 weighted center time since unix epoch [ns]
s2_a_endtime int64 Main S2 end time since unix epoch [ns]
s2_b_endtime int64 Alternate S2 end time since unix epoch [ns]
s2_a_area float32 Main S2 area, uncorrected [PE]
s2_b_area float32 Alternate S2 area, uncorrected [PE]
s2_a_n_channels int16 Main S2 count of contributing PMTs
s2_b_n_channels int16 Alternate S2 count of contributing PMTs
s2_a_n_hits int16 Main S2 count of hits contributing at least one sample to the peak
s2_b_n_hits int16 Alternate S2 count of hits contributing at least one sample to the peak
s2_a_n_competing int32 Main S2 number of competing peaks
s2_b_n_competing int32 Alternate S2 number of competing peaks
s2_a_max_pmt int16 Main S2 PMT number which contributes the most PE
s2_b_max_pmt int16 Alternate S2 PMT number which contributes the most PE
s2_a_max_pmt_area float32 Main S2 area in the largest-contributing PMT (PE)
s2_b_max_pmt_area float32 Alternate S2 area in the largest-contributing PMT (PE)
s2_a_range_50p_area float32 Main S2 width, 50% area [ns]
s2_b_range_50p_area float32 Alternate S2 width, 50% area [ns]
s2_a_range_90p_area float32 Main S2 width, 90% area [ns]
s2_b_range_90p_area float32 Alternate S2 width, 90% area [ns]
s2_a_rise_time float32 Main S2 time between 10% and 50% area quantiles [ns]
s2_b_rise_time float32 Alternate S2 time between 10% and 50% area quantiles [ns]
s2_a_area_fraction_top float32 Main S2 fraction of area seen by the top PMT array
s2_b_area_fraction_top float32 Alternate S2 fraction of area seen by the top PMT array
s2_a_tight_coincidence int16 Main S2 Channel within tight range of mean
s2_b_tight_coincidence int16 Alternate S2 Channel within tight range of mean
s2_a_n_saturated_channels int16 Main S2 Total number of saturated channels
s2_b_n_saturated_channels int16 Alternate S2 Total number of saturated channels
s2_b_interaction_drift_time float32 Drift time using alternate S2 [ns]
ds_s2_dt int32 Time between main and alternate S2 [ns]
s2_a_x float32 Main S2 reconstructed X position, uncorrected [cm]
s2_a_y float32 Main S2 reconstructed Y position, uncorrected [cm]
s2_b_x float32 Alternate S2 reconstructed X position, uncorrected [cm]
s2_b_y float32 Alternate S2 reconstructed Y position, uncorrected [cm]
area_before_main_s2 float32 Sum of areas before Main S2 [PE]
large_s2_before_main_s2 float32 The largest S2 before the Main S2 [PE]
x float32 Main interaction x-position, field-distortion corrected (cm)
s1_b_x_fdc float32 Alternative S1 interaction (rel. main S2) x-position, field-distortion corrected (cm)
s2_b_x_fdc float32 Alternative S2 interaction (rel. main S1) x-position, field-distortion corrected (cm)
y float32 Main interaction y-position, field-distortion corrected (cm)
s1_b_y_fdc float32 Alternative S1 interaction (rel. main S2) y-position, field-distortion corrected (cm)
s2_b_y_fdc float32 Alternative S2 interaction (rel. main S1) y-position, field-distortion corrected (cm)
r float32 Main interaction r-position, field-distortion corrected (cm)
s1_b_r_fdc float32 Alternative S1 interaction (rel. main S2) r-position, field-distortion corrected (cm)
s2_b_r_fdc float32 Alternative S2 interaction (rel. main S1) r-position, field-distortion corrected (cm)
z float32 Interaction z-position, using mean drift velocity only (cm)
s1_b_z float32 Alternative S1 z-position (rel. main S2), using mean drift velocity only (cm)
s2_b_z float32 Alternative S2 z-position (rel. main S1), using mean drift velocity only (cm)
r_naive float32 Main interaction r-position with observed position (cm)
s1_b_r_naive float32 Alternative S1 interaction (rel. main S2) r-position with observed position (cm)
s2_b_r_naive float32 Alternative S2 interaction (rel. main S1) r-position with observed position (cm)
z_naive float32 Main interaction z-position with observed position (cm)
s1_b_z_naive float32 Alternative S1 interaction (rel. main S2) z-position with observed position (cm)
s2_b_z_naive float32 Alternative S2 interaction (rel. main S1) z-position with observed position (cm)
r_field_distortion_correction float32 Correction added to r_naive for field distortion (cm)
s1_b_r_field_distortion_correction float32 Correction added to alt_s1_r_naive for field distortion (cm)
s2_b_r_field_distortion_correction float32 Correction added to alt_s2_r_naive for field distortion (cm)
z_field_distortion_correction float32 Correction added to z_naive for field distortion (cm)
s1_b_z_field_distortion_correction float32 Correction added to alt_s1_z_naive for field distortion (cm)
s2_b_z_field_distortion_correction float32 Correction added to alt_s2_z_naive for field distortion (cm)
s1_b_theta float32 Alternative S1 (rel. main S2) interaction angular position (radians)
s2_b_theta float32 Alternative S2 (rel. main S1) interaction angular position (radians)
theta float32 Main interaction angular position (radians)
s1_b_distinct_channels int32 Number of PMTs contributing to the secondary S1 that do not contribute to the main S1

Dependencies

%3 event_info_double event_info_double event_info event_info event_info_double->event_info distinct_channels distinct_channels event_info_double->distinct_channels event_basics event_basics event_info->event_basics event_positions event_positions event_info->event_positions corrected_areas corrected_areas event_info->corrected_areas energy_estimates energy_estimates event_info->energy_estimates distinct_channels->event_basics peaks peaks distinct_channels->peaks events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics corrected_areas->event_basics corrected_areas->event_positions energy_estimates->corrected_areas events->peak_basics events->peak_proximity peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

fiducial_events

Description

Provided by plugin: FiducialEvents

Data kind: fiducial_events

(no plugin description)

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cs1 float32 Corrected area of main S1 [PE]
cs1_wo_timecorr float32 Corrected area of main S1 [PE] before time-dep LY correction
cs2_wo_elifecorr float32 Corrected area of main S2 before elife correction (s2 xy correction + SEG/EE correction applied) [PE]
cs2_wo_timecorr float32 Corrected area of main S2 before SEG/EE and elife corrections(s2 xy correction applied) [PE]
cs2_area_fraction_top float32 Fraction of area seen by the top PMT array for corrected main S2
cs2_bottom float32 Corrected area of main S2 in the bottom PMT array [PE]
cs2 float32 Corrected area of main S2 [PE]
alt_cs1 float32 Corrected area of alternate S1 [PE]
alt_cs1_wo_timecorr float32 Corrected area of alternate S1 [PE] before time-dep LY correction
alt_cs2_wo_elifecorr float32 Corrected area of alternate S2 before elife correction (s2 xy correction + SEG/EE correction applied) [PE]
alt_cs2_wo_timecorr float32 Corrected area of alternate S2 before SEG/EE and elife corrections(s2 xy correction applied) [PE]
alt_cs2_area_fraction_top float32 Fraction of area seen by the top PMT array for corrected alternate S2
alt_cs2_bottom float32 Corrected area of alternate S2 in the bottom PMT array [PE]
alt_cs2 float32 Corrected area of alternate S2 [PE]
e_light float32 Energy in light signal [keVee]
e_charge float32 Energy in charge signal [keVee]
e_ces float32 Energy estimate [keVee]
n_peaks int32 Number of peaks in the event
drift_time float32 Drift time between main S1 and S2 in ns
event_number int64 Event number in this dataset
s1_index int32 Main S1 peak index in event
alt_s1_index int32 Alternate S1 peak index in event
s1_time int64 Main S1 start time since unix epoch [ns]
alt_s1_time int64 Alternate S1 start time since unix epoch [ns]
s1_center_time int64 Main S1 weighted center time since unix epoch [ns]
alt_s1_center_time int64 Alternate S1 weighted center time since unix epoch [ns]
s1_endtime int64 Main S1 end time since unix epoch [ns]
alt_s1_endtime int64 Alternate S1 end time since unix epoch [ns]
s1_area float32 Main S1 area, uncorrected [PE]
alt_s1_area float32 Alternate S1 area, uncorrected [PE]
s1_n_channels int16 Main S1 count of contributing PMTs
alt_s1_n_channels int16 Alternate S1 count of contributing PMTs
s1_n_hits int16 Main S1 count of hits contributing at least one sample to the peak
alt_s1_n_hits int16 Alternate S1 count of hits contributing at least one sample to the peak
s1_n_competing int32 Main S1 number of competing peaks
alt_s1_n_competing int32 Alternate S1 number of competing peaks
s1_max_pmt int16 Main S1 PMT number which contributes the most PE
alt_s1_max_pmt int16 Alternate S1 PMT number which contributes the most PE
s1_max_pmt_area float32 Main S1 area in the largest-contributing PMT (PE)
alt_s1_max_pmt_area float32 Alternate S1 area in the largest-contributing PMT (PE)
s1_range_50p_area float32 Main S1 width, 50% area [ns]
alt_s1_range_50p_area float32 Alternate S1 width, 50% area [ns]
s1_range_90p_area float32 Main S1 width, 90% area [ns]
alt_s1_range_90p_area float32 Alternate S1 width, 90% area [ns]
s1_rise_time float32 Main S1 time between 10% and 50% area quantiles [ns]
alt_s1_rise_time float32 Alternate S1 time between 10% and 50% area quantiles [ns]
s1_area_fraction_top float32 Main S1 fraction of area seen by the top PMT array
alt_s1_area_fraction_top float32 Alternate S1 fraction of area seen by the top PMT array
s1_tight_coincidence int16 Main S1 Channel within tight range of mean
alt_s1_tight_coincidence int16 Alternate S1 Channel within tight range of mean
s1_n_saturated_channels int16 Main S1 Total number of saturated channels
alt_s1_n_saturated_channels int16 Alternate S1 Total number of saturated channels
alt_s1_interaction_drift_time float32 Drift time using alternate S1 [ns]
alt_s1_delay int32 Time between main and alternate S1 [ns]
s2_index int32 Main S2 peak index in event
alt_s2_index int32 Alternate S2 peak index in event
s2_time int64 Main S2 start time since unix epoch [ns]
alt_s2_time int64 Alternate S2 start time since unix epoch [ns]
s2_center_time int64 Main S2 weighted center time since unix epoch [ns]
alt_s2_center_time int64 Alternate S2 weighted center time since unix epoch [ns]
s2_endtime int64 Main S2 end time since unix epoch [ns]
alt_s2_endtime int64 Alternate S2 end time since unix epoch [ns]
s2_area float32 Main S2 area, uncorrected [PE]
alt_s2_area float32 Alternate S2 area, uncorrected [PE]
s2_n_channels int16 Main S2 count of contributing PMTs
alt_s2_n_channels int16 Alternate S2 count of contributing PMTs
s2_n_hits int16 Main S2 count of hits contributing at least one sample to the peak
alt_s2_n_hits int16 Alternate S2 count of hits contributing at least one sample to the peak
s2_n_competing int32 Main S2 number of competing peaks
alt_s2_n_competing int32 Alternate S2 number of competing peaks
s2_max_pmt int16 Main S2 PMT number which contributes the most PE
alt_s2_max_pmt int16 Alternate S2 PMT number which contributes the most PE
s2_max_pmt_area float32 Main S2 area in the largest-contributing PMT (PE)
alt_s2_max_pmt_area float32 Alternate S2 area in the largest-contributing PMT (PE)
s2_range_50p_area float32 Main S2 width, 50% area [ns]
alt_s2_range_50p_area float32 Alternate S2 width, 50% area [ns]
s2_range_90p_area float32 Main S2 width, 90% area [ns]
alt_s2_range_90p_area float32 Alternate S2 width, 90% area [ns]
s2_rise_time float32 Main S2 time between 10% and 50% area quantiles [ns]
alt_s2_rise_time float32 Alternate S2 time between 10% and 50% area quantiles [ns]
s2_area_fraction_top float32 Main S2 fraction of area seen by the top PMT array
alt_s2_area_fraction_top float32 Alternate S2 fraction of area seen by the top PMT array
s2_tight_coincidence int16 Main S2 Channel within tight range of mean
alt_s2_tight_coincidence int16 Alternate S2 Channel within tight range of mean
s2_n_saturated_channels int16 Main S2 Total number of saturated channels
alt_s2_n_saturated_channels int16 Alternate S2 Total number of saturated channels
alt_s2_interaction_drift_time float32 Drift time using alternate S2 [ns]
alt_s2_delay int32 Time between main and alternate S2 [ns]
s2_x float32 Main S2 reconstructed X position, uncorrected [cm]
s2_y float32 Main S2 reconstructed Y position, uncorrected [cm]
alt_s2_x float32 Alternate S2 reconstructed X position, uncorrected [cm]
alt_s2_y float32 Alternate S2 reconstructed Y position, uncorrected [cm]
area_before_main_s2 float32 Sum of areas before Main S2 [PE]
large_s2_before_main_s2 float32 The largest S2 before the Main S2 [PE]
x float32 Main interaction x-position, field-distortion corrected (cm)
alt_s1_x_fdc float32 Alternative S1 interaction (rel. main S2) x-position, field-distortion corrected (cm)
alt_s2_x_fdc float32 Alternative S2 interaction (rel. main S1) x-position, field-distortion corrected (cm)
y float32 Main interaction y-position, field-distortion corrected (cm)
alt_s1_y_fdc float32 Alternative S1 interaction (rel. main S2) y-position, field-distortion corrected (cm)
alt_s2_y_fdc float32 Alternative S2 interaction (rel. main S1) y-position, field-distortion corrected (cm)
r float32 Main interaction r-position, field-distortion corrected (cm)
alt_s1_r_fdc float32 Alternative S1 interaction (rel. main S2) r-position, field-distortion corrected (cm)
alt_s2_r_fdc float32 Alternative S2 interaction (rel. main S1) r-position, field-distortion corrected (cm)
z float32 Interaction z-position, using mean drift velocity only (cm)
alt_s1_z float32 Alternative S1 z-position (rel. main S2), using mean drift velocity only (cm)
alt_s2_z float32 Alternative S2 z-position (rel. main S1), using mean drift velocity only (cm)
r_naive float32 Main interaction r-position with observed position (cm)
alt_s1_r_naive float32 Alternative S1 interaction (rel. main S2) r-position with observed position (cm)
alt_s2_r_naive float32 Alternative S2 interaction (rel. main S1) r-position with observed position (cm)
z_naive float32 Main interaction z-position with observed position (cm)
alt_s1_z_naive float32 Alternative S1 interaction (rel. main S2) z-position with observed position (cm)
alt_s2_z_naive float32 Alternative S2 interaction (rel. main S1) z-position with observed position (cm)
r_field_distortion_correction float32 Correction added to r_naive for field distortion (cm)
alt_s1_r_field_distortion_correction float32 Correction added to alt_s1_r_naive for field distortion (cm)
alt_s2_r_field_distortion_correction float32 Correction added to alt_s2_r_naive for field distortion (cm)
z_field_distortion_correction float32 Correction added to z_naive for field distortion (cm)
alt_s1_z_field_distortion_correction float32 Correction added to alt_s1_z_naive for field distortion (cm)
alt_s2_z_field_distortion_correction float32 Correction added to alt_s2_z_naive for field distortion (cm)
alt_s1_theta float32 Alternative S1 (rel. main S2) interaction angular position (radians)
alt_s2_theta float32 Alternative S2 (rel. main S1) interaction angular position (radians)
theta float32 Main interaction angular position (radians)
cut_fiducial_cylinder_1t bool One tonne fiducial cylinder

Dependencies

%3 fiducial_events fiducial_events event_info event_info fiducial_events->event_info cut_fiducial_cylinder_1t cut_fiducial_cylinder_1t fiducial_events->cut_fiducial_cylinder_1t event_basics event_basics event_info->event_basics event_positions event_positions event_info->event_positions corrected_areas corrected_areas event_info->corrected_areas energy_estimates energy_estimates event_info->energy_estimates cut_fiducial_cylinder_1t->event_positions events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics corrected_areas->event_basics corrected_areas->event_positions energy_estimates->corrected_areas events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

sr1_cuts

Description

Provided by plugin: SR1Cuts

Data kind: events

(no plugin description)

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cut_fiducial_cylinder_1t bool One tonne fiducial cylinder
cut_s1_low_energy_range bool Event under 200pe
cut_s1_max_pmt bool S1 max PMT cut

Dependencies

%3 sr1_cuts sr1_cuts cut_fiducial_cylinder_1t cut_fiducial_cylinder_1t sr1_cuts->cut_fiducial_cylinder_1t cut_s1_max_pmt cut_s1_max_pmt sr1_cuts->cut_s1_max_pmt cut_s1_low_energy_range cut_s1_low_energy_range sr1_cuts->cut_s1_low_energy_range event_positions event_positions cut_fiducial_cylinder_1t->event_positions event_basics event_basics cut_s1_max_pmt->event_basics events events cut_s1_max_pmt->events peak_basics peak_basics cut_s1_max_pmt->peak_basics cut_s1_low_energy_range->events corrected_areas corrected_areas cut_s1_low_energy_range->corrected_areas event_positions->event_basics event_basics->events event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records corrected_areas->event_positions corrected_areas->event_basics

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

cut_s1_single_scatter

Description

Provided by plugin: S1SingleScatter

Data kind: events

Requires only one valid interaction between the largest S2, and any S1 recorded before it.

The S1 cut checks that any possible secondary S1s recorded in a waveform, could not have also produced a valid interaction with the primary S2. To check whether an interaction between the second largest S1 and the largest S2 is valid, we use the S2Width cut. If the event would pass the S2Width cut, a valid second interaction exists, and we may have mis-identified which S1 to pair with the primary S2. Therefore we cut this event. If it fails the S2Width cut the event is not removed. Current version is developed on calibration data (pax v6.8.0). It is described in this note: https://xecluster.lngs.infn.it/dokuwiki/doku.php?id=xenon:xenon1t:jacques:s1_single_scatter_cut_sr1 It should be applicable to data regardless whether it is ER or NR. Contact: Jacques Pienaar, <jpienaar@uchicago.edu> ported from lax.sciencerun1.py

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cut_s1_single_scatter bool S1 Single Scatter cut

Dependencies

%3 cut_s1_single_scatter cut_s1_single_scatter event_info event_info cut_s1_single_scatter->event_info event_basics event_basics event_info->event_basics event_positions event_positions event_info->event_positions corrected_areas corrected_areas event_info->corrected_areas energy_estimates energy_estimates event_info->energy_estimates events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics corrected_areas->event_basics corrected_areas->event_positions energy_estimates->corrected_areas events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

cut_s2_area_fraction_top

Description

Provided by plugin: S2AreaFractionTop

Data kind: events

Cuts events with an unusual fraction of S2 on top array.

Primarily cuts gas events with a particularly large S2 AFT, also targets some strange / junk / other events with a low AFT. This cut has been checked on S2 ranges between 0 and 50 000 pe. Described in the note at: xenon:xenon1t:analysis:firstresults:s2_aft_cut_summary Contact: Adam Brown <abrown@physik.uzh.ch>, ported from lax.sciencerun1.py

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cut_s2_area_fraction_top bool Cut on S2 AFT

Dependencies

%3 cut_s2_area_fraction_top cut_s2_area_fraction_top event_info event_info cut_s2_area_fraction_top->event_info event_basics event_basics event_info->event_basics event_positions event_positions event_info->event_positions corrected_areas corrected_areas event_info->corrected_areas energy_estimates energy_estimates event_info->energy_estimates events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics corrected_areas->event_basics corrected_areas->event_positions energy_estimates->corrected_areas events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

cut_s2_single_scatter

Description

Provided by plugin: S2SingleScatter

Data kind: events

Check that largest other S2 area is smaller than some bound.

The single scatter is to cut an event if its largest_other_s2 is too large. As the largest_other_s2 takes a greater value when they originated from some real scatters in comparison, those from photo-ionization in single scatter cases would be smaller. https://xecluster.lngs.infn.it/dokuwiki/doku.php?id=xenon:xenon1t:analysis:firstresults:cut:s2single Contact: Tianyu Zhu <tz2263@columbia.edu> ported from lax.sciencerun1.py

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cut_s2_single_scatter bool S2 Single Scatter cut

Dependencies

%3 cut_s2_single_scatter cut_s2_single_scatter event_info event_info cut_s2_single_scatter->event_info event_basics event_basics event_info->event_basics event_positions event_positions event_info->event_positions corrected_areas corrected_areas event_info->corrected_areas energy_estimates energy_estimates event_info->energy_estimates events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics corrected_areas->event_basics corrected_areas->event_positions energy_estimates->corrected_areas events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

cut_s2_threshold

Description

Provided by plugin: S2Threshold

Data kind: events

The S2 energy at which the trigger is perfectly efficient.

See: https://xecluster.lngs.infn.it/dokuwiki/doku.php?id=xenon:xenon1t:analysis:firstresults:daqtriggerpaxefficiency Contact: Jelle Aalbers <aalbers@nikhef.nl> ported from lax.sciencerun1.py

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cut_s2_threshold bool s2 must be larger then 200 PE

Dependencies

%3 cut_s2_threshold cut_s2_threshold event_info event_info cut_s2_threshold->event_info event_basics event_basics event_info->event_basics event_positions event_positions event_info->event_positions corrected_areas corrected_areas event_info->corrected_areas energy_estimates energy_estimates event_info->energy_estimates events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics corrected_areas->event_basics corrected_areas->event_positions energy_estimates->corrected_areas events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

cut_s2_width

Description

Provided by plugin: S2Width

Data kind: events

S2 Width cut based on diffusion model

The S2 width cut compares the S2 width to what we could expect based on its depth in the detector. The inputs to this are the drift velocity and the diffusion constant. The allowed variation in S2 width is greater at low energy (since it is fluctuating statistically) Ref: (arXiv:1102.2865) It should be applicable to data regardless of if it ER or NR; above cS2 = 1e5 pe ERs the acceptance will go down due to track length effects. around S2 = 1e5 pe there are beta-gamma merged peaks from Pb214 that extends the S2 width Tune the diffusion model parameters based on fax data according to note: https://xe1t-wiki.lngs.infn.it/doku.php?id=xenon:xenon1t:sim:notes:tzhu:width_cut_tuning#toy_fax_simulation Contact: Tianyu <tz2263@columbia.edu>, Yuehuan <weiyh@physik.uzh.ch>, Jelle <jaalbers@nikhef.nl> ported from lax.sciencerun1.py

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cut_s2_width bool S2 Width cut

Dependencies

%3 cut_s2_width cut_s2_width event_info event_info cut_s2_width->event_info event_basics event_basics event_info->event_basics event_positions event_positions event_info->event_positions corrected_areas corrected_areas event_info->corrected_areas energy_estimates energy_estimates event_info->energy_estimates events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics corrected_areas->event_basics corrected_areas->event_positions energy_estimates->corrected_areas events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

event_info

Description

Provided by plugin: EventInfo1T

Data kind: events

Plugin which merges the information of all event data_kinds into a single data_type.

This only uses 1T data-types as several event-plugins are nT only

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cs1 float32 Corrected area of main S1 [PE]
cs1_wo_timecorr float32 Corrected area of main S1 [PE] before time-dep LY correction
cs2_wo_elifecorr float32 Corrected area of main S2 before elife correction (s2 xy correction + SEG/EE correction applied) [PE]
cs2_wo_timecorr float32 Corrected area of main S2 before SEG/EE and elife corrections(s2 xy correction applied) [PE]
cs2_area_fraction_top float32 Fraction of area seen by the top PMT array for corrected main S2
cs2_bottom float32 Corrected area of main S2 in the bottom PMT array [PE]
cs2 float32 Corrected area of main S2 [PE]
alt_cs1 float32 Corrected area of alternate S1 [PE]
alt_cs1_wo_timecorr float32 Corrected area of alternate S1 [PE] before time-dep LY correction
alt_cs2_wo_elifecorr float32 Corrected area of alternate S2 before elife correction (s2 xy correction + SEG/EE correction applied) [PE]
alt_cs2_wo_timecorr float32 Corrected area of alternate S2 before SEG/EE and elife corrections(s2 xy correction applied) [PE]
alt_cs2_area_fraction_top float32 Fraction of area seen by the top PMT array for corrected alternate S2
alt_cs2_bottom float32 Corrected area of alternate S2 in the bottom PMT array [PE]
alt_cs2 float32 Corrected area of alternate S2 [PE]
e_light float32 Energy in light signal [keVee]
e_charge float32 Energy in charge signal [keVee]
e_ces float32 Energy estimate [keVee]
n_peaks int32 Number of peaks in the event
drift_time float32 Drift time between main S1 and S2 in ns
event_number int64 Event number in this dataset
s1_index int32 Main S1 peak index in event
alt_s1_index int32 Alternate S1 peak index in event
s1_time int64 Main S1 start time since unix epoch [ns]
alt_s1_time int64 Alternate S1 start time since unix epoch [ns]
s1_center_time int64 Main S1 weighted center time since unix epoch [ns]
alt_s1_center_time int64 Alternate S1 weighted center time since unix epoch [ns]
s1_endtime int64 Main S1 end time since unix epoch [ns]
alt_s1_endtime int64 Alternate S1 end time since unix epoch [ns]
s1_area float32 Main S1 area, uncorrected [PE]
alt_s1_area float32 Alternate S1 area, uncorrected [PE]
s1_n_channels int16 Main S1 count of contributing PMTs
alt_s1_n_channels int16 Alternate S1 count of contributing PMTs
s1_n_hits int16 Main S1 count of hits contributing at least one sample to the peak
alt_s1_n_hits int16 Alternate S1 count of hits contributing at least one sample to the peak
s1_n_competing int32 Main S1 number of competing peaks
alt_s1_n_competing int32 Alternate S1 number of competing peaks
s1_max_pmt int16 Main S1 PMT number which contributes the most PE
alt_s1_max_pmt int16 Alternate S1 PMT number which contributes the most PE
s1_max_pmt_area float32 Main S1 area in the largest-contributing PMT (PE)
alt_s1_max_pmt_area float32 Alternate S1 area in the largest-contributing PMT (PE)
s1_range_50p_area float32 Main S1 width, 50% area [ns]
alt_s1_range_50p_area float32 Alternate S1 width, 50% area [ns]
s1_range_90p_area float32 Main S1 width, 90% area [ns]
alt_s1_range_90p_area float32 Alternate S1 width, 90% area [ns]
s1_rise_time float32 Main S1 time between 10% and 50% area quantiles [ns]
alt_s1_rise_time float32 Alternate S1 time between 10% and 50% area quantiles [ns]
s1_area_fraction_top float32 Main S1 fraction of area seen by the top PMT array
alt_s1_area_fraction_top float32 Alternate S1 fraction of area seen by the top PMT array
s1_tight_coincidence int16 Main S1 Channel within tight range of mean
alt_s1_tight_coincidence int16 Alternate S1 Channel within tight range of mean
s1_n_saturated_channels int16 Main S1 Total number of saturated channels
alt_s1_n_saturated_channels int16 Alternate S1 Total number of saturated channels
alt_s1_interaction_drift_time float32 Drift time using alternate S1 [ns]
alt_s1_delay int32 Time between main and alternate S1 [ns]
s2_index int32 Main S2 peak index in event
alt_s2_index int32 Alternate S2 peak index in event
s2_time int64 Main S2 start time since unix epoch [ns]
alt_s2_time int64 Alternate S2 start time since unix epoch [ns]
s2_center_time int64 Main S2 weighted center time since unix epoch [ns]
alt_s2_center_time int64 Alternate S2 weighted center time since unix epoch [ns]
s2_endtime int64 Main S2 end time since unix epoch [ns]
alt_s2_endtime int64 Alternate S2 end time since unix epoch [ns]
s2_area float32 Main S2 area, uncorrected [PE]
alt_s2_area float32 Alternate S2 area, uncorrected [PE]
s2_n_channels int16 Main S2 count of contributing PMTs
alt_s2_n_channels int16 Alternate S2 count of contributing PMTs
s2_n_hits int16 Main S2 count of hits contributing at least one sample to the peak
alt_s2_n_hits int16 Alternate S2 count of hits contributing at least one sample to the peak
s2_n_competing int32 Main S2 number of competing peaks
alt_s2_n_competing int32 Alternate S2 number of competing peaks
s2_max_pmt int16 Main S2 PMT number which contributes the most PE
alt_s2_max_pmt int16 Alternate S2 PMT number which contributes the most PE
s2_max_pmt_area float32 Main S2 area in the largest-contributing PMT (PE)
alt_s2_max_pmt_area float32 Alternate S2 area in the largest-contributing PMT (PE)
s2_range_50p_area float32 Main S2 width, 50% area [ns]
alt_s2_range_50p_area float32 Alternate S2 width, 50% area [ns]
s2_range_90p_area float32 Main S2 width, 90% area [ns]
alt_s2_range_90p_area float32 Alternate S2 width, 90% area [ns]
s2_rise_time float32 Main S2 time between 10% and 50% area quantiles [ns]
alt_s2_rise_time float32 Alternate S2 time between 10% and 50% area quantiles [ns]
s2_area_fraction_top float32 Main S2 fraction of area seen by the top PMT array
alt_s2_area_fraction_top float32 Alternate S2 fraction of area seen by the top PMT array
s2_tight_coincidence int16 Main S2 Channel within tight range of mean
alt_s2_tight_coincidence int16 Alternate S2 Channel within tight range of mean
s2_n_saturated_channels int16 Main S2 Total number of saturated channels
alt_s2_n_saturated_channels int16 Alternate S2 Total number of saturated channels
alt_s2_interaction_drift_time float32 Drift time using alternate S2 [ns]
alt_s2_delay int32 Time between main and alternate S2 [ns]
s2_x float32 Main S2 reconstructed X position, uncorrected [cm]
s2_y float32 Main S2 reconstructed Y position, uncorrected [cm]
alt_s2_x float32 Alternate S2 reconstructed X position, uncorrected [cm]
alt_s2_y float32 Alternate S2 reconstructed Y position, uncorrected [cm]
area_before_main_s2 float32 Sum of areas before Main S2 [PE]
large_s2_before_main_s2 float32 The largest S2 before the Main S2 [PE]
x float32 Main interaction x-position, field-distortion corrected (cm)
alt_s1_x_fdc float32 Alternative S1 interaction (rel. main S2) x-position, field-distortion corrected (cm)
alt_s2_x_fdc float32 Alternative S2 interaction (rel. main S1) x-position, field-distortion corrected (cm)
y float32 Main interaction y-position, field-distortion corrected (cm)
alt_s1_y_fdc float32 Alternative S1 interaction (rel. main S2) y-position, field-distortion corrected (cm)
alt_s2_y_fdc float32 Alternative S2 interaction (rel. main S1) y-position, field-distortion corrected (cm)
r float32 Main interaction r-position, field-distortion corrected (cm)
alt_s1_r_fdc float32 Alternative S1 interaction (rel. main S2) r-position, field-distortion corrected (cm)
alt_s2_r_fdc float32 Alternative S2 interaction (rel. main S1) r-position, field-distortion corrected (cm)
z float32 Interaction z-position, using mean drift velocity only (cm)
alt_s1_z float32 Alternative S1 z-position (rel. main S2), using mean drift velocity only (cm)
alt_s2_z float32 Alternative S2 z-position (rel. main S1), using mean drift velocity only (cm)
r_naive float32 Main interaction r-position with observed position (cm)
alt_s1_r_naive float32 Alternative S1 interaction (rel. main S2) r-position with observed position (cm)
alt_s2_r_naive float32 Alternative S2 interaction (rel. main S1) r-position with observed position (cm)
z_naive float32 Main interaction z-position with observed position (cm)
alt_s1_z_naive float32 Alternative S1 interaction (rel. main S2) z-position with observed position (cm)
alt_s2_z_naive float32 Alternative S2 interaction (rel. main S1) z-position with observed position (cm)
r_field_distortion_correction float32 Correction added to r_naive for field distortion (cm)
alt_s1_r_field_distortion_correction float32 Correction added to alt_s1_r_naive for field distortion (cm)
alt_s2_r_field_distortion_correction float32 Correction added to alt_s2_r_naive for field distortion (cm)
z_field_distortion_correction float32 Correction added to z_naive for field distortion (cm)
alt_s1_z_field_distortion_correction float32 Correction added to alt_s1_z_naive for field distortion (cm)
alt_s2_z_field_distortion_correction float32 Correction added to alt_s2_z_naive for field distortion (cm)
alt_s1_theta float32 Alternative S1 (rel. main S2) interaction angular position (radians)
alt_s2_theta float32 Alternative S2 (rel. main S1) interaction angular position (radians)
theta float32 Main interaction angular position (radians)

Dependencies

%3 event_info event_info event_basics event_basics event_info->event_basics event_positions event_positions event_info->event_positions corrected_areas corrected_areas event_info->corrected_areas energy_estimates energy_estimates event_info->energy_estimates events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics corrected_areas->event_basics corrected_areas->event_positions energy_estimates->corrected_areas events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

energy_estimates

Description

Provided by plugin: EnergyEstimates

Data kind: events

Plugin which converts cS1 and cS2 into energies (from PE to KeVee).

Columns provided

Field name Data type Comment
e_light float32 Energy in light signal [keVee]
e_charge float32 Energy in charge signal [keVee]
e_ces float32 Energy estimate [keVee]
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]

Dependencies

%3 energy_estimates energy_estimates corrected_areas corrected_areas energy_estimates->corrected_areas event_basics event_basics corrected_areas->event_basics event_positions event_positions corrected_areas->event_positions events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
g1 bodega://g1?bodega_version=v2 0.1426 S1 gain in PE / photons produced
g2 bodega://g2?bodega_version=v2 31.216216 S2 gain in PE / electrons produced
lxe_w 0.0137 <OMITTED> LXe work function in quanta/keV

cut_s1_low_energy_range

Description

Provided by plugin: S1LowEnergyRange

Data kind: events

Pass only events with cs1<200

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cut_s1_low_energy_range bool Event under 200pe

Dependencies

%3 cut_s1_low_energy_range cut_s1_low_energy_range events events cut_s1_low_energy_range->events corrected_areas corrected_areas cut_s1_low_energy_range->corrected_areas peak_basics peak_basics events->peak_basics peak_proximity peak_proximity events->peak_proximity event_basics event_basics corrected_areas->event_basics event_positions event_positions corrected_areas->event_positions peaks peaks peak_basics->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records event_basics->events event_basics->peak_basics event_basics->peak_proximity peak_positions peak_positions event_basics->peak_positions event_positions->event_basics peak_positions->peaks

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

corrected_areas

Description

Provided by plugin: CorrectedAreas

Data kind: events

Plugin which applies light collection efficiency maps and electron life time to the data.

Computes the cS1/cS2 for the main/alternative S1/S2 as well as the corrected life time.

Note:

Please be aware that for both, the main and alternative S1, the area is corrected according to the xy-position of the main S2.

There are now 3 components of cS2s: cs2_top, cS2_bottom and cs2. cs2_top and cs2_bottom are corrected by the corresponding maps, and cs2 is the sum of the two.

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cs1 float32 Corrected area of main S1 [PE]
cs1_wo_timecorr float32 Corrected area of main S1 [PE] before time-dep LY correction
cs2_wo_elifecorr float32 Corrected area of main S2 before elife correction (s2 xy correction + SEG/EE correction applied) [PE]
cs2_wo_timecorr float32 Corrected area of main S2 before SEG/EE and elife corrections(s2 xy correction applied) [PE]
cs2_area_fraction_top float32 Fraction of area seen by the top PMT array for corrected main S2
cs2_bottom float32 Corrected area of main S2 in the bottom PMT array [PE]
cs2 float32 Corrected area of main S2 [PE]
alt_cs1 float32 Corrected area of alternate S1 [PE]
alt_cs1_wo_timecorr float32 Corrected area of alternate S1 [PE] before time-dep LY correction
alt_cs2_wo_elifecorr float32 Corrected area of alternate S2 before elife correction (s2 xy correction + SEG/EE correction applied) [PE]
alt_cs2_wo_timecorr float32 Corrected area of alternate S2 before SEG/EE and elife corrections(s2 xy correction applied) [PE]
alt_cs2_area_fraction_top float32 Fraction of area seen by the top PMT array for corrected alternate S2
alt_cs2_bottom float32 Corrected area of alternate S2 in the bottom PMT array [PE]
alt_cs2 float32 Corrected area of alternate S2 [PE]

Dependencies

%3 corrected_areas corrected_areas event_basics event_basics corrected_areas->event_basics event_positions event_positions corrected_areas->event_positions events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity event_positions->event_basics events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
avg_se_gain cmt://avg_...gin.run_id 28.2 Nominal single electron (SE) gain in PE / electron extracted. Data will be corrected to this value
default_reconstruction_algorithm mlp <OMITTED> default reconstruction algorithm that provides (x,y)
elife cmt://elif...gin.run_id 1000000.0 electron lifetime in [ns]
region_circular 60 <OMITTED> circular cut (cm) for ab region, check out the note https://xe1t-wiki.lngs.infn.it/doku.php?id=jlong:sr0_2_region_se_correction
region_linear 28 <OMITTED> linear cut (cm) for ab region, check out the note https://xe1t-wiki.lngs.infn.it/doku.php?id=jlong:sr0_2_region_se_correction
rel_extraction_eff cmt://rel_...gin.run_id 1.0 Relative extraction efficiency for this run (allows for time dependence)
rel_light_yield cmt://rela...gin.run_id 1.0 Relative light yield (allows for time dependence)
s1_xyz_map itp_map://..._algorithm itp_map://resource://https://raw.githubusercontent.com/XENON1T/pax/master/pax/data/XENON1T_s1_xyz_lce_true_kr83m_SR1_pax-680_fdc-3d_v0.json?fmt=json
s2_xy_map itp_map://..._algorithm itp_map://resource://https://raw.githubusercontent.com/XENON1T/pax/master/pax/data/XENON1T_s2_xy_ly_SR1_v2.2.json?fmt=json
se_gain cmt://se_g...gin.run_id 28.2 Actual SE gain for a given run (allows for time dependence)

cut_fiducial_cylinder_1t

Description

Provided by plugin: FiducialCylinder1T

Data kind: events

Implementation of fiducial volume cylinder 1T,

ported from lax.sciencerun0.py

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
cut_fiducial_cylinder_1t bool One tonne fiducial cylinder

Dependencies

%3 cut_fiducial_cylinder_1t cut_fiducial_cylinder_1t event_positions event_positions cut_fiducial_cylinder_1t->event_positions event_basics event_basics event_positions->event_basics events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

event_positions

Description

Provided by plugin: EventPositions

Data kind: events

Computes the observed and corrected position for the main S1/S2 pairs in an event. For XENONnT data, it returns the FDC corrected positions of the default_reconstruction_algorithm. In case the fdc_map is given as a file (not through CMT), then the coordinate system should be given as (x, y, z), not (x, y, drift_time).

Columns provided

Field name Data type Comment
x float32 Main interaction x-position, field-distortion corrected (cm)
alt_s1_x_fdc float32 Alternative S1 interaction (rel. main S2) x-position, field-distortion corrected (cm)
alt_s2_x_fdc float32 Alternative S2 interaction (rel. main S1) x-position, field-distortion corrected (cm)
y float32 Main interaction y-position, field-distortion corrected (cm)
alt_s1_y_fdc float32 Alternative S1 interaction (rel. main S2) y-position, field-distortion corrected (cm)
alt_s2_y_fdc float32 Alternative S2 interaction (rel. main S1) y-position, field-distortion corrected (cm)
r float32 Main interaction r-position, field-distortion corrected (cm)
alt_s1_r_fdc float32 Alternative S1 interaction (rel. main S2) r-position, field-distortion corrected (cm)
alt_s2_r_fdc float32 Alternative S2 interaction (rel. main S1) r-position, field-distortion corrected (cm)
z float32 Interaction z-position, using mean drift velocity only (cm)
alt_s1_z float32 Alternative S1 z-position (rel. main S2), using mean drift velocity only (cm)
alt_s2_z float32 Alternative S2 z-position (rel. main S1), using mean drift velocity only (cm)
r_naive float32 Main interaction r-position with observed position (cm)
alt_s1_r_naive float32 Alternative S1 interaction (rel. main S2) r-position with observed position (cm)
alt_s2_r_naive float32 Alternative S2 interaction (rel. main S1) r-position with observed position (cm)
z_naive float32 Main interaction z-position with observed position (cm)
alt_s1_z_naive float32 Alternative S1 interaction (rel. main S2) z-position with observed position (cm)
alt_s2_z_naive float32 Alternative S2 interaction (rel. main S1) z-position with observed position (cm)
r_field_distortion_correction float32 Correction added to r_naive for field distortion (cm)
alt_s1_r_field_distortion_correction float32 Correction added to alt_s1_r_naive for field distortion (cm)
alt_s2_r_field_distortion_correction float32 Correction added to alt_s2_r_naive for field distortion (cm)
z_field_distortion_correction float32 Correction added to z_naive for field distortion (cm)
alt_s1_z_field_distortion_correction float32 Correction added to alt_s1_z_naive for field distortion (cm)
alt_s2_z_field_distortion_correction float32 Correction added to alt_s2_z_naive for field distortion (cm)
alt_s1_theta float32 Alternative S1 (rel. main S2) interaction angular position (radians)
alt_s2_theta float32 Alternative S2 (rel. main S1) interaction angular position (radians)
theta float32 Main interaction angular position (radians)
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]

Dependencies

%3 event_positions event_positions event_basics event_basics event_positions->event_basics events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
default_reconstruction_algorithm mlp <OMITTED> default reconstruction algorithm that provides (x,y)
electron_drift_time_gate cmt://elec...gin.run_id 1700 Electron drift time from the gate in ns
electron_drift_velocity cmt://elec...gin.run_id 0.000133 Vertical electron drift velocity in cm/ns (1e4 m/ms)
fdc_map legacy-fdc...gin.run_id <OMITTED> 3D field distortion correction map path

distinct_channels

Description

Provided by plugin: DistinctChannels

Data kind: events

Compute the number of contributing PMTs that contribute to the alt_s1 but not to the main S1.

Columns provided

Field name Data type Comment
alt_s1_distinct_channels int32 Number of PMTs contributing to the secondary S1 that do not contribute to the main S1
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]

Dependencies

%3 distinct_channels distinct_channels event_basics event_basics distinct_channels->event_basics peaks peaks distinct_channels->peaks events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s events->peak_basics events->peak_proximity peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

cut_s1_max_pmt

Description

Provided by plugin: S1MaxPMT

Data kind: events

Removes events where the largest hit in S1 is too large

port from lax.sciencerun0.py

Columns provided

Field name Data type Comment
cut_s1_max_pmt bool S1 max PMT cut
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]

Dependencies

%3 cut_s1_max_pmt cut_s1_max_pmt events events cut_s1_max_pmt->events event_basics event_basics cut_s1_max_pmt->event_basics peak_basics peak_basics cut_s1_max_pmt->peak_basics events->peak_basics peak_proximity peak_proximity events->peak_proximity event_basics->events event_basics->peak_basics event_basics->peak_proximity peak_positions peak_positions event_basics->peak_positions peaks peaks peak_basics->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records peak_positions->peaks

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help

event_basics

Description

Provided by plugin: EventBasics

Data kind: events

Computes the basic properties of the main/alternative S1/S2 within an event.

The main S1 and alternative S1 are given by the largest two S1-Peaks within the event. The main S2 is given by the largest S2-Peak within the event, while alternative S2 is selected as the largest S2 other than main S2 in the time window [main S1 time, main S1 time + max drift time].

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]
n_peaks int32 Number of peaks in the event
drift_time float32 Drift time between main S1 and S2 in ns
event_number int64 Event number in this dataset
s1_index int32 Main S1 peak index in event
alt_s1_index int32 Alternate S1 peak index in event
s1_time int64 Main S1 start time since unix epoch [ns]
alt_s1_time int64 Alternate S1 start time since unix epoch [ns]
s1_center_time int64 Main S1 weighted center time since unix epoch [ns]
alt_s1_center_time int64 Alternate S1 weighted center time since unix epoch [ns]
s1_endtime int64 Main S1 end time since unix epoch [ns]
alt_s1_endtime int64 Alternate S1 end time since unix epoch [ns]
s1_area float32 Main S1 area, uncorrected [PE]
alt_s1_area float32 Alternate S1 area, uncorrected [PE]
s1_n_channels int16 Main S1 count of contributing PMTs
alt_s1_n_channels int16 Alternate S1 count of contributing PMTs
s1_n_hits int16 Main S1 count of hits contributing at least one sample to the peak
alt_s1_n_hits int16 Alternate S1 count of hits contributing at least one sample to the peak
s1_n_competing int32 Main S1 number of competing peaks
alt_s1_n_competing int32 Alternate S1 number of competing peaks
s1_max_pmt int16 Main S1 PMT number which contributes the most PE
alt_s1_max_pmt int16 Alternate S1 PMT number which contributes the most PE
s1_max_pmt_area float32 Main S1 area in the largest-contributing PMT (PE)
alt_s1_max_pmt_area float32 Alternate S1 area in the largest-contributing PMT (PE)
s1_range_50p_area float32 Main S1 width, 50% area [ns]
alt_s1_range_50p_area float32 Alternate S1 width, 50% area [ns]
s1_range_90p_area float32 Main S1 width, 90% area [ns]
alt_s1_range_90p_area float32 Alternate S1 width, 90% area [ns]
s1_rise_time float32 Main S1 time between 10% and 50% area quantiles [ns]
alt_s1_rise_time float32 Alternate S1 time between 10% and 50% area quantiles [ns]
s1_area_fraction_top float32 Main S1 fraction of area seen by the top PMT array
alt_s1_area_fraction_top float32 Alternate S1 fraction of area seen by the top PMT array
s1_tight_coincidence int16 Main S1 Channel within tight range of mean
alt_s1_tight_coincidence int16 Alternate S1 Channel within tight range of mean
s1_n_saturated_channels int16 Main S1 Total number of saturated channels
alt_s1_n_saturated_channels int16 Alternate S1 Total number of saturated channels
alt_s1_interaction_drift_time float32 Drift time using alternate S1 [ns]
alt_s1_delay int32 Time between main and alternate S1 [ns]
s2_index int32 Main S2 peak index in event
alt_s2_index int32 Alternate S2 peak index in event
s2_time int64 Main S2 start time since unix epoch [ns]
alt_s2_time int64 Alternate S2 start time since unix epoch [ns]
s2_center_time int64 Main S2 weighted center time since unix epoch [ns]
alt_s2_center_time int64 Alternate S2 weighted center time since unix epoch [ns]
s2_endtime int64 Main S2 end time since unix epoch [ns]
alt_s2_endtime int64 Alternate S2 end time since unix epoch [ns]
s2_area float32 Main S2 area, uncorrected [PE]
alt_s2_area float32 Alternate S2 area, uncorrected [PE]
s2_n_channels int16 Main S2 count of contributing PMTs
alt_s2_n_channels int16 Alternate S2 count of contributing PMTs
s2_n_hits int16 Main S2 count of hits contributing at least one sample to the peak
alt_s2_n_hits int16 Alternate S2 count of hits contributing at least one sample to the peak
s2_n_competing int32 Main S2 number of competing peaks
alt_s2_n_competing int32 Alternate S2 number of competing peaks
s2_max_pmt int16 Main S2 PMT number which contributes the most PE
alt_s2_max_pmt int16 Alternate S2 PMT number which contributes the most PE
s2_max_pmt_area float32 Main S2 area in the largest-contributing PMT (PE)
alt_s2_max_pmt_area float32 Alternate S2 area in the largest-contributing PMT (PE)
s2_range_50p_area float32 Main S2 width, 50% area [ns]
alt_s2_range_50p_area float32 Alternate S2 width, 50% area [ns]
s2_range_90p_area float32 Main S2 width, 90% area [ns]
alt_s2_range_90p_area float32 Alternate S2 width, 90% area [ns]
s2_rise_time float32 Main S2 time between 10% and 50% area quantiles [ns]
alt_s2_rise_time float32 Alternate S2 time between 10% and 50% area quantiles [ns]
s2_area_fraction_top float32 Main S2 fraction of area seen by the top PMT array
alt_s2_area_fraction_top float32 Alternate S2 fraction of area seen by the top PMT array
s2_tight_coincidence int16 Main S2 Channel within tight range of mean
alt_s2_tight_coincidence int16 Alternate S2 Channel within tight range of mean
s2_n_saturated_channels int16 Main S2 Total number of saturated channels
alt_s2_n_saturated_channels int16 Alternate S2 Total number of saturated channels
alt_s2_interaction_drift_time float32 Drift time using alternate S2 [ns]
alt_s2_delay int32 Time between main and alternate S2 [ns]
s2_x float32 Main S2 reconstructed X position, uncorrected [cm]
s2_y float32 Main S2 reconstructed Y position, uncorrected [cm]
alt_s2_x float32 Alternate S2 reconstructed X position, uncorrected [cm]
alt_s2_y float32 Alternate S2 reconstructed Y position, uncorrected [cm]
area_before_main_s2 float32 Sum of areas before Main S2 [PE]
large_s2_before_main_s2 float32 The largest S2 before the Main S2 [PE]

Dependencies

%3 event_basics event_basics events events event_basics->events peak_basics peak_basics event_basics->peak_basics peak_positions peak_positions event_basics->peak_positions peak_proximity peak_proximity event_basics->peak_proximity events->peak_basics events->peak_proximity peaks peaks peak_basics->peaks peak_positions->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
allow_posts2_s1s False <OMITTED> Allow S1s past the main S2 to become the main S1 and S2
electron_drift_velocity cmt://elec...gin.run_id 0.000133 Vertical electron drift velocity in cm/ns (1e4 m/ms)
event_s1_min_coincidence 2 3 Event level S1 min coincidence. Should be >= s1_min_coincidence in the peaklet classification
force_alt_s2_in_max_drift_time True <OMITTED> Make sure alt_s2 is in max drift time starting from main S1
force_main_before_alt False <OMITTED> Make the alternate S1 (and likewise S2) the main S1 if occurs before the main S1.
max_drift_length 148.6515 96.9 Total length of the TPC from the bottom of gate to the top of cathode wires [cm]

events

Description

Provided by plugin: Events

Data kind: events

Plugin which defines an “event” in our TPC.

An event is defined by peak(s) in fixed range of time around a peak which satisfies certain conditions:

  1. The triggering peak must have a certain area.

  2. The triggering peak must have less than “trigger_max_competing” peaks. (A competing peak must have a certain area fraction of the triggering peak and must be in a window close to the main peak)

Note:

The time range which defines an event gets chopped at the chunk boundaries. This happens at invalid boundaries of the

Columns provided

Field name Data type Comment
event_number int64 Event number in this dataset
time int64 Event start time in ns since the unix epoch
endtime int64 Event end time in ns since the unix epoch

Dependencies

%3 events events peak_basics peak_basics events->peak_basics peak_proximity peak_proximity events->peak_proximity peaks peaks peak_basics->peaks peak_proximity->peak_basics peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
electron_drift_velocity cmt://elec...gin.run_id 0.000133 Vertical electron drift velocity in cm/ns (1e4 m/ms)
event_s1_min_coincidence 2 3 Event level S1 min coincidence. Should be >= s1_min_coincidence in the peaklet classification
exclude_s1_as_triggering_peaks True <OMITTED> If true exclude S1s as triggering peaks.
left_event_extension 250000 300000 Extend events this many ns to the left from each triggering peak. This extension is added to the maximum drift time.
max_drift_length 148.6515 96.9 Total length of the TPC from the bottom of gate to the top of cathode wires [cm]
right_event_extension 250000 1000000 Extend events this many ns to the right from each triggering peak.
s1_min_coincidence 2 3 Minimum tight coincidence necessary to make an S1
trigger_max_competing 7 <OMITTED> Peaks must have FEWER nearby larger or slightly smaller peaks to cause events
trigger_min_area 100 <OMITTED> Peaks must have more area (PE) than this to cause events

peak_proximity

Description

Provided by plugin: PeakProximity

Data kind: peaks

Look for peaks around a peak to determine how many peaks are in proximity (in time) of a peak.

Columns provided

Field name Data type Comment
n_competing int32 Number of nearby larger or slightly smaller peaks
n_competing_left int32 Number of larger or slightly smaller peaks left of the main peak
t_to_prev_peak int64 Time between end of previous peak and start of this peak [ns]
t_to_next_peak int64 Time between end of this peak and start of next peak [ns]
t_to_nearest_peak int64 Smaller of t_to_prev_peak and t_to_next_peak [ns]
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]

Dependencies

%3 peak_proximity peak_proximity peak_basics peak_basics peak_proximity->peak_basics peaks peaks peak_basics->peaks peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
min_area_fraction 0.5 <OMITTED> The area of competing peaks must be at least this fraction of that of the considered peak
nearby_window 10000000.0 <OMITTED> Peaks starting within this time window (on either side)in ns count as nearby.
peak_max_proximity_time 100000000.0 <OMITTED> Maximum value for proximity values such as t_to_next_peak [ns]

peak_basics

Description

Provided by plugin: PeakBasics

Data kind: peaks

Compute the basic peak-properties, thereby dropping structured arrays. NB: This plugin can therefore be loaded as a pandas DataFrame.

Columns provided

Field name Data type Comment
time int64 Start time of the peak (ns since unix epoch)
endtime int64 End time of the peak (ns since unix epoch)
center_time int64 Weighted center time of the peak (ns since unix epoch)
area float32 Peak integral in PE
n_hits int32 Number of hits contributing at least one sample to the peak
n_channels int16 Number of PMTs contributing to the peak
max_pmt int16 PMT number which contributes the most PE
max_pmt_area float32 Area of signal in the largest-contributing PMT (PE)
n_saturated_channels int16 Total number of saturated channels
range_50p_area float32 Width (in ns) of the central 50% area of the peak
range_90p_area float32 Width (in ns) of the central 90% area of the peak
area_fraction_top float32 Fraction of area seen by the top array (NaN for peaks with non-positive area)
length int32 Length of the peak waveform in samples
dt int16 Time resolution of the peak waveform in ns
rise_time float32 Time between 10% and 50% area quantiles [ns]
tight_coincidence int16 Number of PMTs with hits within tight range of mean
type int8 Classification of the peak(let)

Dependencies

%3 peak_basics peak_basics peaks peaks peak_basics->peaks peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
check_peak_sum_area_rtol NaN <OMITTED> Check if the sum area and the sum of area per channel are the same. If None, don't do the check. To perform the check, set to the desired rtol value used e.g. '1e-4' (see np.isclose).
n_top_pmts 253.0 127 Number of top PMTs

peak_positions

Description

Provided by plugin: PeakPositions1T

Data kind: peaks

Compute the S2 (x,y)-position based on a neural net.

Columns provided

Field name Data type Comment
x float32 Reconstructed S2 X position (cm), uncorrected
y float32 Reconstructed S2 Y position (cm), uncorrected
time int64 Start time since unix epoch [ns]
endtime int64 Exclusive end time since unix epoch [ns]

Dependencies

%3 peak_positions peak_positions peaks peaks peak_positions->peaks peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
min_reconstruction_area 10 <OMITTED> Skip reconstruction if area (PE) is less than this
n_top_pmts 253 127 Number of top PMTs
nn_architecture https://ra...atted.json <OMITTED> Path to JSON of neural net architecture
nn_weights https://ra...217_sr1.h5 <OMITTED> Path to HDF5 of neural net weights

peaks

Description

Provided by plugin: Peaks

Data kind: peaks

Merge peaklets and merged S2s such that we obtain our peaks (replacing all peaklets that were later re-merged as S2s). As this step is computationally trivial, never save this plugin.

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
length int32 Length of the interval in samples
dt int32 Width of one sample [ns]
channel int16 Channel/PMT number
type int8 Classification of the peak(let)
data_top ('<f4', (200,)) Waveform data in PE/sample (not PE/ns!), top array
area float32 Integral across channels [PE]
area_per_channel ('<f4', (248,)) Integral per channel [PE]
n_hits int32 Number of hits contributing at least one sample to the peak
data ('<f4', (200,)) Waveform data in PE/sample (not PE/ns!)
width ('<f4', (11,)) Peak widths in range of central area fraction [ns]
area_decile_from_midpoint ('<f4', (11,)) Peak widths: time between nth and 5th area decile [ns]
saturated_channel ('i1', (248,)) Does the channel reach ADC saturation?
n_saturated_channels int16 Total number of saturated channels
tight_coincidence int16 Channel within tight range of mean
max_gap int32 Largest gap between hits inside peak [ns]
max_goodness_of_split float32 Maximum interior goodness of split

Dependencies

%3 peaks peaks peaklets peaklets peaks->peaklets peaklet_classification peaklet_classification peaks->peaklet_classification merged_s2s merged_s2s peaks->merged_s2s records records peaklets->records peaklet_classification->peaklets merged_s2s->peaklets merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits raw_records raw_records records->raw_records lone_hits->records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
diagnose_sorting False <OMITTED> Enable runtime checks for sorting and disjointness
merge_without_s1 True <OMITTED> If true, S1s will be igored during the merging. It's now possible for a S1 to be inside a S2 post merging

merged_s2s

Description

Provided by plugin: MergedS2s

Data kind: merged_s2s

Merge together peaklets if peak finding favours that they would form a single peak instead.

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
length int32 Length of the interval in samples
dt int32 Width of one sample [ns]
channel int16 Channel/PMT number
type int8 Classification of the peak(let)
data_top ('<f4', (200,)) Waveform data in PE/sample (not PE/ns!), top array
area float32 Integral across channels [PE]
area_per_channel ('<f4', (248,)) Integral per channel [PE]
n_hits int32 Number of hits contributing at least one sample to the peak
data ('<f4', (200,)) Waveform data in PE/sample (not PE/ns!)
width ('<f4', (11,)) Peak widths in range of central area fraction [ns]
area_decile_from_midpoint ('<f4', (11,)) Peak widths: time between nth and 5th area decile [ns]
saturated_channel ('i1', (248,)) Does the channel reach ADC saturation?
n_saturated_channels int16 Total number of saturated channels
tight_coincidence int16 Channel within tight range of mean
max_gap int32 Largest gap between hits inside peak [ns]
max_goodness_of_split float32 Maximum interior goodness of split

Dependencies

%3 merged_s2s merged_s2s peaklets peaklets merged_s2s->peaklets peaklet_classification peaklet_classification merged_s2s->peaklet_classification lone_hits lone_hits merged_s2s->lone_hits records records peaklets->records peaklet_classification->peaklets lone_hits->records raw_records raw_records records->raw_records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
gain_model <OMITTED> cmt://to_pe_model?version=v1&detector=1t&run_id=plugin.run_id PMT gain model. Specify as (str(model_config), str(version), nT-->boolean
merge_without_s1 True <OMITTED> If true, S1s will be igored during the merging. It's now possible for a S1 to be inside a S2 post merging
n_top_pmts <OMITTED> 127 Number of top TPC array PMTs
n_tpc_pmts <OMITTED> 248 Number of TPC PMTs
s2_merge_gap_thresholds ((1.7, 26500.0), (4.0, 2600.0), (5.0, 0.0)) ((1.7, 5000.0), (4.0, 500.0), (5.0, 0.0)) Points to define maximum separation between peaklets to allow merging [ns] depending on log10 area of the merged peak\nwhere the gap size of the first point is the maximum gap to allow mergingand the area of the last point is the maximum area to allow merging. The format is ((log10(area), max_gap), (..., ...), (..., ...))
s2_merge_max_duration 50000 <OMITTED> Do not merge peaklets at all if the result would be a peak longer than this [ns]
sum_waveform_top_array True <OMITTED> Digitize the sum waveform of the top array separately

peaklet_classification

Description

Provided by plugin: PeakletClassification

Data kind: peaklets

Classify peaklets as unknown, S1, or S2.

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
length int32 Length of the interval in samples
dt int32 Width of one sample [ns]
channel int16 Channel/PMT number
type int8 Classification of the peak(let)

Dependencies

%3 peaklet_classification peaklet_classification peaklets peaklets peaklet_classification->peaklets records records peaklets->records raw_records raw_records records->raw_records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
n_top_pmts 253 127 Number of top PMTs
s1_flatten_threshold_aft (0.6, 100) <OMITTED> Threshold for AFT, above which we use a flatted boundary for rise timeSpecified values: (AFT boundary, constant rise time).
s1_max_rise_time_post100 200 150 Maximum S1 rise time for > 100 PE [ns]
s1_min_coincidence 2 3 Minimum tight coincidence necessary to make an S1
s1_risetime_aft_parameters (-1, 2.6) <OMITTED> Slope and offset in exponential of emperical boundary in the rise time-AFT plot. Specified as (slope, offset)
s1_risetime_area_parameters (50, 80, 12) <OMITTED> norm, const, tau in the empirical boundary in the risetime-area plot
s2_min_pmts 4 <OMITTED> Minimum number of PMTs contributing to an S2

peaklets

Description

Provided by plugin: Peaklets

Data kind: peaklets

Split records into:
  • peaklets

  • lone_hits

Peaklets are very aggressively split peaks such that we are able to find S1-S2s even if they are close to each other. (S2) Peaks that are split into too many peaklets will be merged later on.

To get Peaklets from records apply/do:
  1. Hit finding

  2. Peak finding

  3. Peak splitting using the natural breaks algorithm

  4. Compute the digital sum waveform

Lone hits are all hits which are outside of any peak. The area of lone_hits includes the left and right hit extension, except the extension overlaps with any peaks or other hits.

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
length int32 Length of the interval in samples
dt int32 Width of one sample [ns]
channel int16 Channel/PMT number
type int8 Classification of the peak(let)
data_top ('<f4', (200,)) Waveform data in PE/sample (not PE/ns!), top array
area float32 Integral across channels [PE]
area_per_channel ('<f4', (248,)) Integral per channel [PE]
n_hits int32 Number of hits contributing at least one sample to the peak
data ('<f4', (200,)) Waveform data in PE/sample (not PE/ns!)
width ('<f4', (11,)) Peak widths in range of central area fraction [ns]
area_decile_from_midpoint ('<f4', (11,)) Peak widths: time between nth and 5th area decile [ns]
saturated_channel ('i1', (248,)) Does the channel reach ADC saturation?
n_saturated_channels int16 Total number of saturated channels
tight_coincidence int16 Channel within tight range of mean
max_gap int32 Largest gap between hits inside peak [ns]
max_goodness_of_split float32 Maximum interior goodness of split

Dependencies

%3 peaklets peaklets records records peaklets->records raw_records raw_records records->raw_records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
channel_map <OMITTED> (tpc, diagnostic, aqmon) immutabledict mapping subdetector to (min, max) channel number.
diagnose_sorting False <OMITTED> Enable runtime checks for sorting and disjointness
gain_model <OMITTED> cmt://to_pe_model?version=v1&detector=1t&run_id=plugin.run_id PMT gain model. Specify as URL or explicit value
hit_min_amplitude cmt://hit_...gin.run_id legacy-thresholds://XENON1T_SR1 Minimum hit amplitude in ADC counts above baseline. Specify as a tuple of length n_tpc_pmts, or a number,or a string like "pmt_commissioning_initial" which means callinghitfinder_thresholds.pyor a tuple like (correction=str, version=str, nT=boolean),which means we are using cmt.
n_top_pmts <OMITTED> 127 Number of top TPC array PMTs
n_tpc_pmts <OMITTED> 248 Number of TPC PMTs
peak_left_extension 30 <OMITTED> Include this many ns left of hits in peaks
peak_min_pmts 2 2 Minimum number of contributing PMTs needed to define a peak
peak_right_extension 200 30 Include this many ns right of hits in peaks
peak_split_filter_wing_width 70 <OMITTED> Wing width of moving average filter for low-split natural breaks
peak_split_gof_threshold (None, ((0.5, 1.0), (6.0, 0.4)), ((2.5, 1.0), (5.625, 0.4))) (None, ((0.5, 1), (3.5, 0.25)), ((2, 1), (4.5, 0.4))) Natural breaks goodness of fit/split threshold to split a peak. Specify as tuples of (log10(area), threshold).
peak_split_iterations 20 <OMITTED> Maximum number of recursive peak splits to do.
peak_split_min_area 40.0 <OMITTED> Minimum area to evaluate natural breaks criterion. Smaller peaks are not split.
peaklet_gap_threshold 700 350 No hits for this many ns triggers a new peak
peaklet_max_duration 10000000 <OMITTED> Maximum duration [ns] of a peaklet
saturation_correction_on True <OMITTED> On off switch for saturation correction
saturation_min_reference_length 20 <OMITTED> Minimum number of reference sample used to correct saturated samples
saturation_reference_length 100 <OMITTED> Maximum number of reference sample used to correct saturated samples
sum_waveform_top_array True <OMITTED> Digitize the sum waveform of the top array separately
tight_coincidence_window_left 50 <OMITTED> Time range left of peak center to call a hit a tight coincidence (ns)
tight_coincidence_window_right 50 <OMITTED> Time range right of peak center to call a hit a tight coincidence (ns)

lone_hits

Description

Provided by plugin: Peaklets

Data kind: lone_hits

Split records into:
  • peaklets

  • lone_hits

Peaklets are very aggressively split peaks such that we are able to find S1-S2s even if they are close to each other. (S2) Peaks that are split into too many peaklets will be merged later on.

To get Peaklets from records apply/do:
  1. Hit finding

  2. Peak finding

  3. Peak splitting using the natural breaks algorithm

  4. Compute the digital sum waveform

Lone hits are all hits which are outside of any peak. The area of lone_hits includes the left and right hit extension, except the extension overlaps with any peaks or other hits.

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
length int32 Length of the interval in samples
dt int16 Width of one sample [ns]
channel int16 Channel/PMT number
area float32 Integral [ADC x samples]
left int16 Index of sample in record in which hit starts
right int16 Index of first sample in record just beyond hit (exclusive bound)
left_integration int16 For lone hits, index of sample in record where integration starts
right_integration int16 For lone hits, index of first sample beyond integration region
record_i int32 Internal (temporary) index of fragment in which hit was found
threshold float32 ADC threshold applied in order to find hits
height float32 Maximum amplitude above baseline [ADC counts]

Dependencies

%3 lone_hits lone_hits records records lone_hits->records raw_records raw_records records->raw_records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
channel_map <OMITTED> (tpc, diagnostic, aqmon) immutabledict mapping subdetector to (min, max) channel number.
diagnose_sorting False <OMITTED> Enable runtime checks for sorting and disjointness
gain_model <OMITTED> cmt://to_pe_model?version=v1&detector=1t&run_id=plugin.run_id PMT gain model. Specify as URL or explicit value
hit_min_amplitude cmt://hit_...gin.run_id legacy-thresholds://XENON1T_SR1 Minimum hit amplitude in ADC counts above baseline. Specify as a tuple of length n_tpc_pmts, or a number,or a string like "pmt_commissioning_initial" which means callinghitfinder_thresholds.pyor a tuple like (correction=str, version=str, nT=boolean),which means we are using cmt.
n_top_pmts <OMITTED> 127 Number of top TPC array PMTs
n_tpc_pmts <OMITTED> 248 Number of TPC PMTs
peak_left_extension 30 <OMITTED> Include this many ns left of hits in peaks
peak_min_pmts 2 2 Minimum number of contributing PMTs needed to define a peak
peak_right_extension 200 30 Include this many ns right of hits in peaks
peak_split_filter_wing_width 70 <OMITTED> Wing width of moving average filter for low-split natural breaks
peak_split_gof_threshold (None, ((0.5, 1.0), (6.0, 0.4)), ((2.5, 1.0), (5.625, 0.4))) (None, ((0.5, 1), (3.5, 0.25)), ((2, 1), (4.5, 0.4))) Natural breaks goodness of fit/split threshold to split a peak. Specify as tuples of (log10(area), threshold).
peak_split_iterations 20 <OMITTED> Maximum number of recursive peak splits to do.
peak_split_min_area 40.0 <OMITTED> Minimum area to evaluate natural breaks criterion. Smaller peaks are not split.
peaklet_gap_threshold 700 350 No hits for this many ns triggers a new peak
peaklet_max_duration 10000000 <OMITTED> Maximum duration [ns] of a peaklet
saturation_correction_on True <OMITTED> On off switch for saturation correction
saturation_min_reference_length 20 <OMITTED> Minimum number of reference sample used to correct saturated samples
saturation_reference_length 100 <OMITTED> Maximum number of reference sample used to correct saturated samples
sum_waveform_top_array True <OMITTED> Digitize the sum waveform of the top array separately
tight_coincidence_window_left 50 <OMITTED> Time range left of peak center to call a hit a tight coincidence (ns)
tight_coincidence_window_right 50 <OMITTED> Time range right of peak center to call a hit a tight coincidence (ns)

records

Description

Provided by plugin: PulseProcessing

Data kind: records

Split raw_records into:
  • (tpc) records

  • aqmon_records

  • pulse_counts

For TPC records, apply basic processing:
  1. Flip, baseline, and integrate the waveform

  2. Apply software HE veto after high-energy peaks.

  3. Find hits, apply linear filter, and zero outside hits.

pulse_counts holds some average information for the individual PMT channels for each chunk of raw_records. This includes e.g. number of recorded pulses, lone_pulses (pulses which do not overlap with any other pulse), or mean values of baseline and baseline rms channel.

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
length int32 Length of the interval in samples
dt int16 Width of one sample [ns]
channel int16 Channel/PMT number
pulse_length int32 Length of pulse to which the record belongs (without zero-padding)
record_i int16 Fragment number in the pulse
area int32 Integral in ADC counts x samples
reduction_level uint8 Level of data reduction applied (strax.ReductionLevel enum)
baseline float32 Baseline in ADC counts. data = int(baseline) - data_orig
baseline_rms float32 Baseline RMS in ADC counts. data = baseline - data_orig
amplitude_bit_shift int16 Multiply data by 2**(this number). Baseline is unaffected.
data ('<i2', (110,)) Waveform data in raw counts above integer part of baseline

Dependencies

%3 records records raw_records raw_records records->raw_records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
allow_sloppy_chunking False True Use a default baseline for incorrectly chunked fragments. This is a kludge for improperly converted XENON1T data.
baseline_samples 40 <OMITTED> Number of samples to use at the start of the pulse to determine the baseline
check_raw_record_overlaps True False Crash if any of the pulses in raw_records overlap with others in the same channel
events_per_chunk 50 <OMITTED> Number of events to yield per chunk
hev_gain_model None cmt://to_pe_model?version=v1&detector=1t&run_id=plugin.run_id PMT gain model used in the software high-energy veto.
hit_min_amplitude cmt://hit_...gin.run_id legacy-thresholds://XENON1T_SR1 Minimum hit amplitude in ADC counts above baseline. Specify as a tuple of length n_tpc_pmts, or a number,or a string like "pmt_commissioning_initial" which means callinghitfinder_thresholds.pyor a tuple like (correction=str, version=str, nT=boolean),which means we are using cmt.
max_veto_value None <OMITTED> Optionally pass a HE peak that exceeds this absolute area. (if performing a hard veto, can keep a few statistics.)
n_tpc_pmts <OMITTED> 248 Number of TPC PMTs
pax_raw_dir /data/xenon/raw <OMITTED> Directory with raw pax datasets
pmt_pulse_filter None (0.012, -0.119, 2.435, -1.271, 0.357, -0.174, -0.0, -0.036, -0.028, -0.019, -0.025, -0.013, -0.03, -0.039, -0.005, -0.019, -0.012, -0.015, -0.029, 0.024, -0.007, 0.007, -0.001, 0.005, -0.002, 0.004, -0.002) Linear filter to apply to pulses, will be normalized.
samples_per_record 110 <OMITTED> Number of samples per record
save_outside_hits (3, 20) (3, 3) Save (left, right) samples besides hits; cut the rest
stop_after_zips 0 <OMITTED> Convert only this many zip files. 0 = all.
tail_veto_duration 3000000 <OMITTED> Time in ns to veto after large peaks
tail_veto_pass_extend 3 <OMITTED> Extend pass veto by this many samples (tail_veto_resolution!)
tail_veto_pass_fraction 0.05 <OMITTED> Pass veto if maximum amplitude above max * fraction
tail_veto_resolution 1000 <OMITTED> Time resolution in ns for pass-veto waveform summation
tail_veto_threshold 0 100000 Minimum peakarea in PE to trigger tail veto.Set to None, 0 or False to disable veto.

veto_regions

Description

Provided by plugin: PulseProcessing

Data kind: veto_regions

Split raw_records into:
  • (tpc) records

  • aqmon_records

  • pulse_counts

For TPC records, apply basic processing:
  1. Flip, baseline, and integrate the waveform

  2. Apply software HE veto after high-energy peaks.

  3. Find hits, apply linear filter, and zero outside hits.

pulse_counts holds some average information for the individual PMT channels for each chunk of raw_records. This includes e.g. number of recorded pulses, lone_pulses (pulses which do not overlap with any other pulse), or mean values of baseline and baseline rms channel.

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
length int32 Length of the interval in samples
dt int16 Width of one sample [ns]
channel int16 Channel/PMT number
area float32 Integral [ADC x samples]
left int16 Index of sample in record in which hit starts
right int16 Index of first sample in record just beyond hit (exclusive bound)
left_integration int16 For lone hits, index of sample in record where integration starts
right_integration int16 For lone hits, index of first sample beyond integration region
record_i int32 Internal (temporary) index of fragment in which hit was found
threshold float32 ADC threshold applied in order to find hits
height float32 Maximum amplitude above baseline [ADC counts]

Dependencies

%3 veto_regions veto_regions raw_records raw_records veto_regions->raw_records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
allow_sloppy_chunking False True Use a default baseline for incorrectly chunked fragments. This is a kludge for improperly converted XENON1T data.
baseline_samples 40 <OMITTED> Number of samples to use at the start of the pulse to determine the baseline
check_raw_record_overlaps True False Crash if any of the pulses in raw_records overlap with others in the same channel
hev_gain_model None cmt://to_pe_model?version=v1&detector=1t&run_id=plugin.run_id PMT gain model used in the software high-energy veto.
hit_min_amplitude cmt://hit_...gin.run_id legacy-thresholds://XENON1T_SR1 Minimum hit amplitude in ADC counts above baseline. Specify as a tuple of length n_tpc_pmts, or a number,or a string like "pmt_commissioning_initial" which means callinghitfinder_thresholds.pyor a tuple like (correction=str, version=str, nT=boolean),which means we are using cmt.
max_veto_value None <OMITTED> Optionally pass a HE peak that exceeds this absolute area. (if performing a hard veto, can keep a few statistics.)
n_tpc_pmts <OMITTED> 248 Number of TPC PMTs
pmt_pulse_filter None (0.012, -0.119, 2.435, -1.271, 0.357, -0.174, -0.0, -0.036, -0.028, -0.019, -0.025, -0.013, -0.03, -0.039, -0.005, -0.019, -0.012, -0.015, -0.029, 0.024, -0.007, 0.007, -0.001, 0.005, -0.002, 0.004, -0.002) Linear filter to apply to pulses, will be normalized.
save_outside_hits (3, 20) (3, 3) Save (left, right) samples besides hits; cut the rest
tail_veto_duration 3000000 <OMITTED> Time in ns to veto after large peaks
tail_veto_pass_extend 3 <OMITTED> Extend pass veto by this many samples (tail_veto_resolution!)
tail_veto_pass_fraction 0.05 <OMITTED> Pass veto if maximum amplitude above max * fraction
tail_veto_resolution 1000 <OMITTED> Time resolution in ns for pass-veto waveform summation
tail_veto_threshold 0 100000 Minimum peakarea in PE to trigger tail veto.Set to None, 0 or False to disable veto.

pulse_counts

Description

Provided by plugin: PulseProcessing

Data kind: pulse_counts

Split raw_records into:
  • (tpc) records

  • aqmon_records

  • pulse_counts

For TPC records, apply basic processing:
  1. Flip, baseline, and integrate the waveform

  2. Apply software HE veto after high-energy peaks.

  3. Find hits, apply linear filter, and zero outside hits.

pulse_counts holds some average information for the individual PMT channels for each chunk of raw_records. This includes e.g. number of recorded pulses, lone_pulses (pulses which do not overlap with any other pulse), or mean values of baseline and baseline rms channel.

Columns provided

Field name Data type Comment
time int64 Start time of the chunk
endtime int64 End time of the chunk
pulse_count ('<i8', (248,)) Number of pulses
lone_pulse_count ('<i8', (248,)) Number of lone pulses
pulse_area ('<i8', (248,)) Integral of all pulses in ADC_count x samples
lone_pulse_area ('<i8', (248,)) Integral of lone pulses in ADC_count x samples
baseline_mean ('<i2', (248,)) Average baseline
baseline_rms_mean ('<f4', (248,)) Average baseline rms

Dependencies

%3 pulse_counts pulse_counts raw_records raw_records pulse_counts->raw_records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
allow_sloppy_chunking False True Use a default baseline for incorrectly chunked fragments. This is a kludge for improperly converted XENON1T data.
baseline_samples 40 <OMITTED> Number of samples to use at the start of the pulse to determine the baseline
check_raw_record_overlaps True False Crash if any of the pulses in raw_records overlap with others in the same channel
hev_gain_model None cmt://to_pe_model?version=v1&detector=1t&run_id=plugin.run_id PMT gain model used in the software high-energy veto.
hit_min_amplitude cmt://hit_...gin.run_id legacy-thresholds://XENON1T_SR1 Minimum hit amplitude in ADC counts above baseline. Specify as a tuple of length n_tpc_pmts, or a number,or a string like "pmt_commissioning_initial" which means callinghitfinder_thresholds.pyor a tuple like (correction=str, version=str, nT=boolean),which means we are using cmt.
max_veto_value None <OMITTED> Optionally pass a HE peak that exceeds this absolute area. (if performing a hard veto, can keep a few statistics.)
n_tpc_pmts <OMITTED> 248 Number of TPC PMTs
pmt_pulse_filter None (0.012, -0.119, 2.435, -1.271, 0.357, -0.174, -0.0, -0.036, -0.028, -0.019, -0.025, -0.013, -0.03, -0.039, -0.005, -0.019, -0.012, -0.015, -0.029, 0.024, -0.007, 0.007, -0.001, 0.005, -0.002, 0.004, -0.002) Linear filter to apply to pulses, will be normalized.
save_outside_hits (3, 20) (3, 3) Save (left, right) samples besides hits; cut the rest
tail_veto_duration 3000000 <OMITTED> Time in ns to veto after large peaks
tail_veto_pass_extend 3 <OMITTED> Extend pass veto by this many samples (tail_veto_resolution!)
tail_veto_pass_fraction 0.05 <OMITTED> Pass veto if maximum amplitude above max * fraction
tail_veto_resolution 1000 <OMITTED> Time resolution in ns for pass-veto waveform summation
tail_veto_threshold 0 100000 Minimum peakarea in PE to trigger tail veto.Set to None, 0 or False to disable veto.

raw_records

Description

Provided by plugin: RecordsFromPax

Data kind: raw_records

(no plugin description)

Columns provided

Field name Data type Comment
time int64 Start time since unix epoch [ns]
length int32 Length of the interval in samples
dt int16 Width of one sample [ns]
channel int16 Channel/PMT number
pulse_length int32 Length of pulse to which the record belongs (without zero-padding)
record_i int16 Fragment number in the pulse
baseline int16 Baseline determined by the digitizer (if this is supported)
data ('<i2', (110,)) Waveform data in raw ADC counts

Dependencies

%3 raw_records raw_records

Configuration options

These are all options that affect this data type. This also includes options taken by dependencies of this datatype, because changing any of those options affect this data indirectly.

option default current help
events_per_chunk 50 <OMITTED> Number of events to yield per chunk
pax_raw_dir /data/xenon/raw <OMITTED> Directory with raw pax datasets
samples_per_record 110 <OMITTED> Number of samples per record
stop_after_zips 0 <OMITTED> Convert only this many zip files. 0 = all.