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bhazelton committed Sep 19, 2024
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77 changes: 77 additions & 0 deletions docs/analytic_beams.rst
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Analytic Beams
==============

pyuvdata defines several analytic primary beams for radio telescopes. While these
are not realistic models for true antennas (like those represented in
:class:`pyuvdata.UVBeam`), they can be useful in simulation because they are
lightweight and fast to evaluate (as opposed to having to interpolate).

The analytic beams defined in pyuvdata are based on an abstract base class,
:class:`pyuvdata.analytic_beam.AnalyticBeam`, which ensures a standard interface
and can be used to define other analytic beams in a consistent way. To evaluate
analytic beams in particular directions at particular frequencies, use the
:meth:`pyuvdata.analytic_beam.AnalyticBeam.efield_eval` or
:meth:`pyuvdata.analytic_beam.AnalyticBeam.power_eval` methods as appropriate.

The ``AnalyticBeam`` base class also provides a yaml constructor that can enable
analytic beams to be instantiated directly from yaml files (see
:ref:`yaml_constructors`, similar constructors are also available for UVBeam
objects) and a plugin infrastructure that can automatically include any imported
subclass even if they are defined in other packages. This infrastructure, along
with the :class:`pyuvdata.BeamInterface` class, can simplify the setup for
simulations.

.. autoclass:: pyuvdata.analytic_beam.AnalyticBeam
:members:


.. autoclass:: pyuvdata.AiryBeam
:members:

.. autoclass:: pyuvdata.GaussianBeam
:members:

.. autoclass:: pyuvdata.ShortDipoleBeam
:members:

.. autoclass:: pyuvdata.UniformBeam
:members:


.. _yaml_constructors:

yaml constructors
-----------------

Analytic beams can be instantiated directly from yaml files using the
``!AnalyticBeam`` tag. The ``class`` parameter must be specified and it can be
set to one of the pyuvdata provided analytic beams or to any AnalyticBeam
subclass. If the subclass is not defined in pyuvdata, either the subclass must
already be imported or it must be specified with the dot-pathed modules included
(i.e. ``my_module.MyAnalyticBeam``). Some analytic beams have required parameters
(e.g. ``diameter`` for AiryBeams), which must also be provided, see the object
definitions for details.

Some examples are provided below, note that the node key can be anything, it
does not need to be ``beam``:

A 16 meter diameter Airy beam::

beam: !AnalyticBeam
class: AiryBeam
diameter: 16

A classical short dipole beam (the dot-pathed module notation is not required
for pyvudata beams but is shown here as an example)::

beam: !AnalyticBeam
class: pyuvdata.ShortDipoleBeam

A gaussian shaped beam with an E-Field beam sigma of 0.26 radians that has
width that scales as a power law with frequency::

beam: !AnalyticBeam
class: GaussianBeam
reference_frequency: 120000000.
spectral_index: -1.5
sigma: 0.26
13 changes: 13 additions & 0 deletions docs/beam_interface.rst
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Beam Interface
==============

The BeamInterface object is designed to provide a unified interface for UVBeam
and AnalyticBeam objects to compute beam response values. It can be constructed
with either a UVBeam or AnalyticBeam and it provides the
:meth:`pyuvdata.BeamInterface.compute_response` method, which can be used to
either evaluate the response of an AnalyticBeam or interpolate a UVBeam to get
the beam response. This interface provides a simplified way for simulators to
call either UVBeams or analytic beams.

.. autoclass:: pyuvdata.BeamInterface
:members:
3 changes: 1 addition & 2 deletions docs/cst_settings_yaml.rst
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Expand Up @@ -7,8 +7,7 @@ via keywords when the files are read in, but it is better for the metadata to be
specified once and carried with the data files. To that end, we developed a yaml
settings file specification to carry all the metadata. This format is very human
readable and writeable and we encourage using such a file as the best way to
ensure the metadata is preserved. Note that reading a yaml settings file into
UVBeam requires that pyyaml is installed.
ensure the metadata is preserved.

Required Fields
***************
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2 changes: 2 additions & 0 deletions docs/make_index.py
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Expand Up @@ -49,6 +49,8 @@ def write_index_rst(readme_file=None, write_file=None):
" uvbeam\n"
" uvflag\n"
" telescope\n"
" analytic_beams\n"
" beam_interface\n"
" fast_uvh5_meta\n"
" fast_calh5_meta\n"
" utility_functions\n"
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31 changes: 30 additions & 1 deletion docs/make_uvbeam.py
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Expand Up @@ -21,7 +21,9 @@ def write_uvbeam_rst(write_file=None):
"transforming the data (interpolating/regridding, selecting, converting\n"
"types) and can be interacted with directly.\n\n"
"Note that there are some tricks that can help with reading in CST beam\n"
"simulation files in `CST Settings Files`_.\n\n"
"simulation files in `CST Settings Files`_.\n"
"UVBeam also provides a yaml constructor that can enable beams to be\n"
"instantiated directly from yaml files (see: `UVbeam yaml constructor`_)\n\n"
"Attributes\n----------\n"
"The attributes on UVBeam hold all of the metadata and data required to\n"
"describe primary beam models. Under the hood, the attributes are implemented\n"
Expand Down Expand Up @@ -67,6 +69,33 @@ def write_uvbeam_rst(write_file=None):

out += "Methods\n-------\n.. autoclass:: pyuvdata.UVBeam\n :members:\n\n"

out += """
UVBeam yaml constructor
-----------------------
UVbeams can be instantiated directly from yaml files using the
``!UVBeam`` tag. The ``filename`` parameter must be specified and and
any other parameter that can be passed to the :meth:`pyuvdata.UVBeam.read`
method can also be specified.
Some examples are provided below, note that the node key can be anything,
it does not need to be ``beam``:
A simple UVBeam specification::
beam: !UVBeam
filename: hera.beamfits
An UVbeam specification with some with some keywords to pass to ``UVBeam.read``::
beam: !UVBeam
filename: mwa_full_EE_test.h5
pixels_per_deg: 1
freq_range: [100.e+6, 200.e+6]
\n\n
"""

with open("cst_settings_yaml.rst", encoding="utf-8") as cst_settings_file:
cst_setting_text = cst_settings_file.read()

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6 changes: 6 additions & 0 deletions docs/uvcal_tutorial.rst
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Expand Up @@ -324,6 +324,7 @@ that should be noted:
on the object itself).
* Regardless of the value of ``undo``, the convention that is inferred for the
calibration solutions is determined as follows:

* If neither ``uvc_pol_convention`` nor ``uvcal.pol_convention`` are specified, a
a warning is raised (since the resulting calibrated data is not well-determined),
and it is *assumed* that the solutions have the same convention as the ``UVData``
Expand All @@ -332,7 +333,9 @@ that should be noted:
corrections are applied, and the result is ambiguous.
* If both ``uvc_pol_convention`` and ``uvcal.pol_convention`` are specified and are
different, an error is raised.

* When **calibrating** in :func:`pyuvdata.utils.uvcalibrate` (i.e. ``undo=False``):

* If ``uvdata.pol_convention`` is specified, an error is raised, because you are
trying to calibrate already-calibrated data.
* The convention applied to the resulting ``UVData`` object is inferred in the
Expand All @@ -341,14 +344,17 @@ that should be noted:
or ``uvcal.pol_convention``, see above), (iii) if still unspecified, no convention
will be used and a warning will be raised. This was always the behaviour in earlier
versions of ``pyuvdata`` (pre-v3).

* When **un-calibrating** with :func:`pyuvdata.utils.uvcalibrate` (i.e. ``undo=True``):

* If both ``uvd_pol_convention`` and ``uvdata.pol_convention`` are defined and
are different, an error is raised.
* If neither are set, a warning is raised, since the resulting un-calibrated values
may not be the same as the original values before calibration (since a different
convention could have been used to calibrate originally than is being used to
de-calibrate). However, calibration will continue, assuming that the ``UVData``
object has the same convention as the ``UVCal`` object used to de-calibrate.

* It is not supported to have ``pol_convention`` set on ``UVCal``, but *not*
``gain_scale``. A ``pol_convention`` only makes sense in the context of having a
scale for the gains.
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