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update index and readme files.
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52 changes: 46 additions & 6 deletions README.md
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# Mrinversion

Mrinversion is a python package for inverting NMR signal. The package supports
inversion of two-dimension magic angle flipping (MAF) or any number of 2D spinning
sideband measurements coreelating the isotopic to the anisotropic frequencies, into
a three-dimensional
inverting the pure NMR anisotropic line-shape
into a distribution of the tensor
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The `mrinversion` python package is based on the statistical learning technique for
determining the distribution of the magnetic resonance (NMR) tensor parameters
from the two-dimensional NMR spectra correlating the isotropic to anisotropic
resonances.
The library utilizes the [mrsimulator](https://mrsimulator.readthedocs.io/en/latest/)
package for generating solid-state NMR lineshapes and
[scikit-learn](https://scikit-learn.org/latest/) package for statistical learning.

---

## Features

The `mrinversion` package includes the **inversion of a two-dimensional
solid-state NMR spectrum of dilute spin-systems to a three-dimensional distribution of
tensor parameters**. At present, we support the inversion of

- **Magic angle flipping (MAF)** spectra correlating the isotropic chemical shift
resonances to pure anisotropic resonances into a three-dimensional distribution of
nuclear shielding tensor parameters---isotropic chemical shift, shielding
anisotropy and asymmetry parameters---defined using the Haeberlen convention.

- **Magic angle turning (MAT), Phase adjusted spinning sidebands (PASS)**, and similar
spectra correlating the isotropic chemical shift resonances to pure anisotropic
spinning sideband resonances into a three-dimensional distribution of
nuclear shielding tensor parameters---isotropic chemical shift, shielding
anisotropy and asymmetry parameters---defined using the Haeberlen convention.

For more information, refer to the
[documentation](https://mrinversion.readthedocs.io/en/latest/).

> **View our example gallery**
>
> [![](https://img.shields.io/badge/View-Example%20Gallery-Purple?s=small)](https://mrinversion.readthedocs.io/en/latest/auto_examples/index.html)
## Installation

$ pip install mrinversion

Please read our [installation document](https://mrinversion.readthedocs.io/en/latest/installation.html) for details.
8 changes: 4 additions & 4 deletions docs/index.rst
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Expand Up @@ -28,8 +28,8 @@ Welcome to Mrinversion documentation!
:target: https://github.com/DeepanshS/mrinversion/actions
:alt: GitHub Workflow Status

.. image:: https://readthedocs.org/projects/mrinversion/badge/?version=stable
:target: https://mrinversion.readthedocs.io/en/stable/?badge=stable
.. image:: https://readthedocs.org/projects/mrinversion/badge/?version=latest
:target: https://mrinversion.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status

* - License
Expand Down Expand Up @@ -66,9 +66,9 @@ The ``mrinversion`` python package is based on the statistical learning techniqu
determining the distribution of the magnetic resonance (NMR) tensor parameters
from the two-dimensional NMR spectra correlating the isotropic to anisotropic
resonances.
The library utilizes the `mrsimulator <https://mrsimulator.readthedocs.io/en/stable/>`_
The library utilizes the `mrsimulator <https://mrsimulator.readthedocs.io/en/latest/>`_
package for generating solid-state NMR lineshapes and
`scikit-learn <https://scikit-learn.org/stable/>`_ package for statistical learning.
`scikit-learn <https://scikit-learn.org/latest/>`_ package for statistical learning.

----

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