.. _physics-outputAnalysisTargetData:

Output Analysis Target Data
===========================

Class packaging the shared "target data" arguments used by 1D function output analyses (axis labels, log-scale flags, and target value/covariance arrays).  Bundling these into a single object lets downstream output-analysis constructors expose one optional argument instead of seven, which avoids a :math:`2^N` combinatorial explosion in the Python wrapper's optional-argument branching. All fields are themselves optional at construction; omitted labels default to empty (or ``'x'``/``'y'`` for the axis labels), omitted log-scale flags default to false, and the target arrays default to unallocated.

**Default implementation:** ``outputAnalysisTargetDataStandard``

Methods
-------

``hasTarget`` → ``logical``
   Return whether the value and covariance target arrays are both allocated (i.e.\ a comparison dataset is present).

.. _physics-outputAnalysisTargetDataStandard:

``outputAnalysisTargetDataStandard``
------------------------------------

The standard :galacticus-class:`outputAnalysisTargetDataClass` class --- a simple struct holding axis labels, log-scale flags, and target value/covariance arrays.  All fields are optional at construction; omitted axis labels default to ``'x'``/``'y'``, omitted target/log-scale flags default to empty/false, and the target arrays remain unallocated.

**(Default implementation)**

**Methods**

* ``factors`` — Compute factors needed for tidal tensor calculation.
* ``tidalTensorGet`` — Get the tidal tensor.

**Parameters**

* ``[xAxisLabel]`` (string; default ``x``) — Axis label for the property (x-axis) of the output analysis.
* ``[yAxisLabel]`` (string; default ``y``) — Axis label for the function value (y-axis) of the output analysis.
* ``[targetLabel]`` (string) — Label identifying the comparison/target dataset, if any.
* ``[xAxisIsLog]`` (boolean; default ``.false.``) — Whether the x-axis should be displayed on a logarithmic scale.
* ``[yAxisIsLog]`` (boolean; default ``.false.``) — Whether the y-axis should be displayed on a logarithmic scale.
* ``[valueTarget]`` (real) — Target dataset values to compare against, one per bin of the output analysis.
* ``[covarianceTarget]`` (real) — Target-dataset covariance matrix corresponding to the ``valueTarget`` array.