IXTdataset 4d

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An IXTdataset_4d is an object that stores signal and error data against four independent dimensions. Title and label information is also stored.

This object currently only exists in Fortran.


Fields

IXTdataset_3d objects contain the following fields


Field Type Description
base IXTbase Object required for internal use
title char Title of the dataset used in plotting
signal real (ptr) Signal data
error real (ptr) Standard error
s_axis IXTaxis object containing the signal axis label and units code information
x1 real (ptr) First independent variable data (i.e. x data). If point data this will be the point positions in the x axis. If histogram data, this will be the bin boundaries in the x axis
x1_axis IXTaxis object containing the x axis label and units code information
x1_distribution logical True if signal is a distribution on x (e.g. counts/microsecond) False if signal is not a distribution on x (e.g. counts)
x2 real (ptr) Second independent variable data (i.e. y data). If point data this will be the point positions in the y axis. If histogram data, this will be the bin boundaries in the y axis
x2_axis IXTaxis object containing the y axis label and units code information
x2_distribution logical True if signal is a distribution on y (e.g. counts/spectrum) False if signal is not a distribution on y (e.g. counts)
'x3 real (ptr) Third independent variable data (i.e. z data). If point data this will be the point positions in the z axis. If histogram data, this will be the bin boundaries in the z axis
x3_axis IXTaxis object containing the z axis label and units code information
x3_distribution logical True if signal is a distribution on z (e.g. counts/spectrum) False if signal is not a distribution on z (e.g. counts)
'x4 real (ptr) Third independent variable data (i.e. z data). If point data this will be the point positions in the z axis. If histogram data, this will be the bin boundaries in the z axis
x4_axis IXTaxis object containing the z axis label and units code information
x4_distribution logical True if signal is a distribution on z (e.g. counts/spectrum) False if signal is not a distribution on z (e.g. counts)