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Add event time classifier: update doc
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doc/users_guide/reconstruction.rst

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Parameters
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''''''''''
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No parameters are required though a position reconstruction should be run before and a light speed is needed
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to calculate time residuals. Several useful parameters can be set in macro, which allows the processor to be
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run multiple times with different settings in a single macro. Detailed implementations are illustrated in
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macros/examples/classifytimes.mac
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No parameters are required though a position reconstruction should be run before (or a fixed position specified) and a
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light speed is needed to calculate time residuals. The light speed and a time window for the ratio are specified in
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CLASSIFIER.ratdb. Several useful parameters can be set in macro, which allows the processor to be run multiple times
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with different settings in a single macro. Detailed implementations are illustrated in macros/examples/classifytimes.mac.
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========================= ========================== ===================
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**Field** **Type** **Description**
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========================= ========================== ===================
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``classifier_name`` ``string`` Defaults to "classifytimes"
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``position_fitter`` ``string`` Name of fitter providing position input
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``classifier_name`` ``string`` Defaults to "classifytimes".
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``position_fitter`` ``string`` Name of fitter providing position input.
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``pmt_type`` ``int`` PMT "type" to use. Multiple types can be used. Defaults to all types.
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``verbose`` ``int`` FOM save option. 1 saves ``num_PMT``'s. 2 also saves ``time_resid_low`` and ``time_resid_up``
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``numer_time_resid_low`` ``double`` Lower cut on time residuals in ns. Used for ``ratio``.
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``numer_time_resid_up`` ``double`` Upper cut on time residuals in ns. Used for ``ratio``.
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``numer_time_resid_low`` ``double`` Lower cut on time residuals in ns. Used for ``ratio``. Defaults to value in CLASSIFIER.ratdb.
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``numer_time_resid_up`` ``double`` Upper cut on time residuals in ns. Used for ``ratio``. Defaults to value in CLASSIFIER.ratdb.
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``denom_time_resid_low`` ``double`` Lower cut on time residuals in ns. Used for ``ratio``. Defaults to full range.
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``denom_time_resid_up`` ``double`` Upper cut on time residuals in ns. Used for ``ratio``. Defaults to full range.
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``time_resid_frac_low`` ``double`` Lower cut on time residuals as a fraction in [0.0, 1.0). Option for central moments.
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``time_resid_frac_up`` ``double`` Upper cut on time residuals as a fraction in (0.0, 1.0]. Option for central moments.
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``light_speed`` ``double`` Speed of light in material in mm/ns. Defaults to water.
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``light_speed`` ``double`` Speed of light in material in mm/ns. Defaults to water value in CLASSIFIER.ratdb.
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``event_position_x`` ``double`` Fixed position of event in mm
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``event_position_y`` ``double`` Fixed position of event in mm
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``event_position_z`` ``double`` Fixed position of event in mm
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``event_position_x`` ``double`` Fixed position of event in mm.
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``event_position_y`` ``double`` Fixed position of event in mm.
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``event_position_z`` ``double`` Fixed position of event in mm.
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``event_time`` ``double`` Fixed offset of time residuals in ns
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``event_time`` ``double`` Fixed offset of time residuals in ns.
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========================= ========================== ===================
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Classifier information in data structure
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''''''''''''''''''''''''''''''''''''''''''
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* name - ``classifytimes``
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* classifier result - ``ratio`` is the ratio of the numbers of PMTs selected by specified time windows
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* classifier result - ``mean`` is the mean time within a specified time window
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* classifier result - ``stddev`` is the unbiased standard deviation of times within a specified time window
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* classifier result - ``skewness`` is the standardized unbiased skewness of times within a specified time window
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* classifier result - ``kurtosis`` is the standardized unbiased excess kurtosis of times within a specified time window
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* classifier result - ``num_PMT`` is the number of PMTs used in a reconstruction
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* classifier result - ``num_PMT_numer`` is the number of PMTs used in a reconstruction
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* classifier result - ``num_PMT_denom`` is the number of PMTs used in a reconstruction
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* classifier result - ``time_resid_low`` is the earliest time residual that passes the lower time residual cut
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* classifier result - ``time_resid_up`` is the latest time residual that passes the upper time residual cut
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* classifier result - ``mean`` is the mean time within the time window for central moments
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* classifier result - ``stddev`` is the unbiased standard deviation of times within the time window for central moments
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* classifier result - ``skewness`` is the standardized unbiased skewness of times within the time window for central moments
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* classifier result - ``kurtosis`` is the standardized unbiased excess kurtosis of times within the time window for central moments
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* classifier result - ``num_PMT`` is the number of PMTs used in the central moment calculations
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* classifier result - ``num_PMT_numer`` is the number of PMTs used in the numerator of the ratio
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* classifier result - ``num_PMT_denom`` is the number of PMTs used in the denominator of the ratio
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* classifier result - ``time_resid_low`` is the earliest time residual in the time window for central moments
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* classifier result - ``time_resid_up`` is the latest time residual in the time window for central moments
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