This class is just method globber that works expects as input
TimeSeries objects defined by pylal.frutils. This class only works in a
cartesian basis! The distance should be measure in units of meters.
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__init__(self,
name="Unknown",
xAxis=None,
yAxis=None,
zAxis=None,
coordinate=(None,None,None),
swapSign=(False,False,False),
tType="normal")
This object is initialized with 3 data streams (1xM) which should be
the intesities of each spatial coordinate seen by the sensor in
question. |
source code
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setParallelMismatchAngle(self,
wiggleAngle=3.0)
Enter an angle in degrees to define a tolerance on the parallelness
of two lines for determining potential intersection of lines and
planes. |
source code
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setHypersphereMismatch(self,
wiggleDistance=25.0)
Enter an angle in degrees to define a tolerance on the parallelness
of two lines for determining potential intersection of lines and
planes. |
source code
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triangulate(self,
otherSensor=[None])
Wrapper to pick the correct triangulation machinery. |
source code
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__normalTriangulate__(self,
otherSensor=[None])
Assuming the input is normals to 3D planes in 3 space we will
intercept the planes resulting in either points in 3D space or 2D
lines whichever is the most physically interesting. |
source code
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Inherited from object:
__delattr__,
__format__,
__getattribute__,
__hash__,
__new__,
__reduce__,
__reduce_ex__,
__repr__,
__setattr__,
__sizeof__,
__str__,
__subclasshook__
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