Project gulliver

Invoke with: import icecube.gulliver

C++ I3Modules

I3IceForkModule_I3LogLRatioFilter

"I3IceForkModule<I3LogLRatioFilter>" (C++ I3Module)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param DecisionName:

Default = 'I3LogLRatioFilter', Name of the filter decision in the Frame

Param MaxLogLRatio:

Default = 3.0, The maximal difference of the log likelihoods given by the two reconstructions above

Param ParticleKey1:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

Param ParticleKey2:

Default = 'bayesianP_1it', Name of another likelihood reconstruction that will be subtracted

I3IceForkModule_I3PLogLFilter

"I3IceForkModule<I3PLogLFilter>" (C++ I3Module)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param CutValuesKey:

Default = '', Name of cut values to read NCh from, if no pulse series is in the frame

Param DecisionName:

Default = 'I3PLogLFilter', Name of the filter decision in the Frame

Param MaxPLogL:

Default = 7.5, The maximal likelihood/(NCh - SubstractFromNCh) above which events are cut

Param ParticleKey:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

Param RecoPulseSeries:

Default = '', The name of the reco pulse series to calculate NCh

Param SubstractFromNCh:

Default = 2.0, Substract this value from NCh before the likelihood is divided

I3IceForkModule_I3RLogLFilter

"I3IceForkModule<I3RLogLFilter>" (C++ I3Module)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param DecisionName:

Default = 'I3RLogLFilter', Name of the filter decision in the Frame

Param MaxRLogL:

Default = 9.0, The maximal reduced likelihood above which events are cut

Param ParticleKey:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

I3IcePickModule_I3LogLRatioFilter

"I3IcePickModule<I3LogLRatioFilter>" (C++ I3Module)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param DecisionName:

Default = 'I3LogLRatioFilter', Name of the filter decision in the Frame

Param DiscardEvents:

Default = False, Set to ‘true’ if we’re supposed to actually discard events

Param IcePickServiceKey:

Default = '', Key for an IcePick in the context that this module should check before processing physics frames.

Param If:

Default = None, A python function… if this returns something that evaluates to True, Module runs, else it doesn’t

Param InvertFrameOutput:

Default = False, Set to ‘true’ if you want the I3Bool that is written to the frame to be ‘true’ when the event fails the IcePick and ‘false’ when the event passes the IcePick (as in the old reverse-Pretzian logic). This ONLY affects the frame object output.

Param MaxLogLRatio:

Default = 3.0, The maximal difference of the log likelihoods given by the two reconstructions above

Param NEventsToPick:

Default = -1, Number of events to pick. If set to a value other than -1,IceTray will stop processing once after this manyselected events by requesting suspension

Param ParticleKey1:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

Param ParticleKey2:

Default = 'bayesianP_1it', Name of another likelihood reconstruction that will be subtracted

Param Streams:

Default = [icetray.I3Frame.Physics], Frame stops on which to operate. All other stop types are ignored.

I3IcePickModule_I3PLogLFilter

"I3IcePickModule<I3PLogLFilter>" (C++ I3Module)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param CutValuesKey:

Default = '', Name of cut values to read NCh from, if no pulse series is in the frame

Param DecisionName:

Default = 'I3PLogLFilter', Name of the filter decision in the Frame

Param DiscardEvents:

Default = False, Set to ‘true’ if we’re supposed to actually discard events

Param IcePickServiceKey:

Default = '', Key for an IcePick in the context that this module should check before processing physics frames.

Param If:

Default = None, A python function… if this returns something that evaluates to True, Module runs, else it doesn’t

Param InvertFrameOutput:

Default = False, Set to ‘true’ if you want the I3Bool that is written to the frame to be ‘true’ when the event fails the IcePick and ‘false’ when the event passes the IcePick (as in the old reverse-Pretzian logic). This ONLY affects the frame object output.

Param MaxPLogL:

Default = 7.5, The maximal likelihood/(NCh - SubstractFromNCh) above which events are cut

Param NEventsToPick:

Default = -1, Number of events to pick. If set to a value other than -1,IceTray will stop processing once after this manyselected events by requesting suspension

Param ParticleKey:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

Param RecoPulseSeries:

Default = '', The name of the reco pulse series to calculate NCh

Param Streams:

Default = [icetray.I3Frame.Physics], Frame stops on which to operate. All other stop types are ignored.

Param SubstractFromNCh:

Default = 2.0, Substract this value from NCh before the likelihood is divided

I3IcePickModule_I3RLogLFilter

"I3IcePickModule<I3RLogLFilter>" (C++ I3Module)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param DecisionName:

Default = 'I3RLogLFilter', Name of the filter decision in the Frame

Param DiscardEvents:

Default = False, Set to ‘true’ if we’re supposed to actually discard events

Param IcePickServiceKey:

Default = '', Key for an IcePick in the context that this module should check before processing physics frames.

Param If:

Default = None, A python function… if this returns something that evaluates to True, Module runs, else it doesn’t

Param InvertFrameOutput:

Default = False, Set to ‘true’ if you want the I3Bool that is written to the frame to be ‘true’ when the event fails the IcePick and ‘false’ when the event passes the IcePick (as in the old reverse-Pretzian logic). This ONLY affects the frame object output.

Param MaxRLogL:

Default = 9.0, The maximal reduced likelihood above which events are cut

Param NEventsToPick:

Default = -1, Number of events to pick. If set to a value other than -1,IceTray will stop processing once after this manyselected events by requesting suspension

Param ParticleKey:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

Param Streams:

Default = [icetray.I3Frame.Physics], Frame stops on which to operate. All other stop types are ignored.

C++ ServiceFactorys

I3EventLogLikelihoodCombinerFactory

"I3EventLogLikelihoodCombinerFactory" (C++ ServiceFactory)

<undocumented>

Param InputLogLikelihoods:

Default = [], List of names of event loglikelihood calculation services.

Param Multiplicity:

Default = 'Max', Specify with this option how the likelihood combiner should obtain/define the multiplicity of an event, using one or several of the multiplicity values calculated by the likelihood services. Give either the name of one of the combined likelihood services, or any of the keywords ‘Max’, ‘Min’ or ‘Sum’. Default is ‘Max’. For ‘Min’ the minimum of the nonzero multiplicities will be taken.

Param RelativeWeights:

Default = [], List of relative weights. This list should be either empty or of the same length as the list of likelihood services. If you leave it empty, then the likelihoods will be weighted with 1.0.

I3IcePickInstaller_I3LogLRatioFilter

"I3IcePickInstaller<I3LogLRatioFilter>" (C++ ServiceFactory)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param MaxLogLRatio:

Default = 3.0, The maximal difference of the log likelihoods given by the two reconstructions above

Param ParticleKey1:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

Param ParticleKey2:

Default = 'bayesianP_1it', Name of another likelihood reconstruction that will be subtracted

Param ServiceName:

Default = '', Name that the service will have in the context.This is typically redundant… by default, it uses The name of the installer

I3IcePickInstaller_I3PLogLFilter

"I3IcePickInstaller<I3PLogLFilter>" (C++ ServiceFactory)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param CutValuesKey:

Default = '', Name of cut values to read NCh from, if no pulse series is in the frame

Param MaxPLogL:

Default = 7.5, The maximal likelihood/(NCh - SubstractFromNCh) above which events are cut

Param ParticleKey:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

Param RecoPulseSeries:

Default = '', The name of the reco pulse series to calculate NCh

Param ServiceName:

Default = '', Name that the service will have in the context.This is typically redundant… by default, it uses The name of the installer

Param SubstractFromNCh:

Default = 2.0, Substract this value from NCh before the likelihood is divided

I3IcePickInstaller_I3RLogLFilter

"I3IcePickInstaller<I3RLogLFilter>" (C++ ServiceFactory)

<undocumented>

Param CacheResults:

Default = False, For each frame evaluated, write the result to the frame, and check to see if that result exists before evaluating again.

Param MaxRLogL:

Default = 9.0, The maximal reduced likelihood above which events are cut

Param ParticleKey:

Default = 'ipdfGCpandel', Name of the likelihood reconstruction

Param ServiceName:

Default = '', Name that the service will have in the context.This is typically redundant… by default, it uses The name of the installer