Symbolic Mode Coupling
Project description
.. sectnum::
=======
symlens
=======
.. image:: https://img.shields.io/pypi/v/symlens.svg
:target: https://pypi.python.org/pypi/symlens
.. image:: https://img.shields.io/travis/simonsobs/symlens.svg
:target: https://travis-ci.org/simonsobs/symlens
.. image:: https://readthedocs.org/projects/symlens/badge/?version=latest
:target: https://symlens.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
This library allows one to build and evaluate arbitrary separable mode-coupling
estimators. In practice, its main purpose is to provide a flat-sky lensing estimator
code. More generally, one can build estimators and noise functions for
convergence, magnification, shear, mixed estimators (for gradient cleaning),
split-based lensing, birefringence, patchy tau, etc. and cross-covariances
between these.
Instead of having to calculate by hand the separable forms of the above, one
simply provides the mode-coupling and filter expressions, and a ``sympy``-based
(Mathematica-like) backend factorizes these expressions into FFT-only form
(i.e., no explicit convolutions are required).
Curved sky support does not exist. Adding it is possibly non-trivial, but
thoughts and ideas (and PRs!) are highly appreciated. Still, this package can
serve as the backend for quick exploration of various kinds of estimators.
* Free software: BSD license
* Documentation: https://symlens.readthedocs.io.
Dependencies
============
* Python>=2.7 or Python>=3.4
* pixell_
* numpy, sympy
Installing
==========
To install, run:
.. code-block:: console
$ python setup.py install --user
Usage
=====
See the Usage_ guide and the API Reference_.
Contributing
------------
If you have write access to this repository, please:
1. create a new branch
2. push your changes to that branch
3. merge or rebase to get in sync with master
4. submit a pull request on github
If you do not have write access, create a fork of this repository and proceed as described above.
.. _pixell: https://github.com/simonsobs/pixell/
.. _Usage: https://symlens.readthedocs.io/en/latest/usage.html
.. _Reference: https://symlens.readthedocs.io/en/latest/reference.html
=======
History
=======
.. sectnum:: :start: 4
0.1.0 (2019-03-06)
------------------
* First release on PyPI.
=======
symlens
=======
.. image:: https://img.shields.io/pypi/v/symlens.svg
:target: https://pypi.python.org/pypi/symlens
.. image:: https://img.shields.io/travis/simonsobs/symlens.svg
:target: https://travis-ci.org/simonsobs/symlens
.. image:: https://readthedocs.org/projects/symlens/badge/?version=latest
:target: https://symlens.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
This library allows one to build and evaluate arbitrary separable mode-coupling
estimators. In practice, its main purpose is to provide a flat-sky lensing estimator
code. More generally, one can build estimators and noise functions for
convergence, magnification, shear, mixed estimators (for gradient cleaning),
split-based lensing, birefringence, patchy tau, etc. and cross-covariances
between these.
Instead of having to calculate by hand the separable forms of the above, one
simply provides the mode-coupling and filter expressions, and a ``sympy``-based
(Mathematica-like) backend factorizes these expressions into FFT-only form
(i.e., no explicit convolutions are required).
Curved sky support does not exist. Adding it is possibly non-trivial, but
thoughts and ideas (and PRs!) are highly appreciated. Still, this package can
serve as the backend for quick exploration of various kinds of estimators.
* Free software: BSD license
* Documentation: https://symlens.readthedocs.io.
Dependencies
============
* Python>=2.7 or Python>=3.4
* pixell_
* numpy, sympy
Installing
==========
To install, run:
.. code-block:: console
$ python setup.py install --user
Usage
=====
See the Usage_ guide and the API Reference_.
Contributing
------------
If you have write access to this repository, please:
1. create a new branch
2. push your changes to that branch
3. merge or rebase to get in sync with master
4. submit a pull request on github
If you do not have write access, create a fork of this repository and proceed as described above.
.. _pixell: https://github.com/simonsobs/pixell/
.. _Usage: https://symlens.readthedocs.io/en/latest/usage.html
.. _Reference: https://symlens.readthedocs.io/en/latest/reference.html
=======
History
=======
.. sectnum:: :start: 4
0.1.0 (2019-03-06)
------------------
* First release on PyPI.
Project details
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