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Add contribution Add contact Move tutorials higher up
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AMBER documentation
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===================
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.. image:: https://gitea.psi.ch/lass_j/AMBER/actions/workflows/test.yaml/badge.svg
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:height: 20
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:alt: Test Status
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.. image:: https://readthedocs.org/projects/AMBER-ds4ms/badge/?style=plastic
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:height: 20
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:alt: Read the Docs
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.. image:: https://img.shields.io/pypi/v/AMBER-ds4ms
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:height: 20
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:alt: PyPI - Version
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.. image:: https://img.shields.io/pypi/pyversions/AMBER-ds4ms
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:height: 20
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:alt: PyPI - Python Version
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This is the documentation for the **A** lgorithm for **M** ultiplexing spectrometer
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**B** ackground **E** stimation with **R** otation-independence **AMBER** which is a method to estimate and background within 3D data sets.
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the fifth call for Collaborative Research Data Science Projects.
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Badges
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------
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.. image:: https://gitea.psi.ch/lass_j/AMBER/actions/workflows/test.yaml/badge.svg
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:width: 50
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:alt: Test Status
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Installation
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python -m pip install git+https://gitea.psi.ch/lass_j/AMBER.git@main
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Documentation & Tutorials
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-------------------------
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For **AMBER** the following tutorials have been created
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.. toctree::
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:maxdepth: 2
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:caption: Contents:
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tutorials/index.rst
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General Introduction
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--------------------
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For further details, see the the paper.
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Documentation & Tutorials
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-------------------------
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For **AMBER** the following tutorials have been created
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.. toctree::
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:maxdepth: 2
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:caption: Contents:
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tutorials/index.rst
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Contribute
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----------
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This project is more than happy for contribution to the code base. However, it is recommended that before a large commitment and/pull request is made,
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please do contact the `maintainers`_ or open an `issue`_.
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Contact
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-------
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Contact to the maintainers is recommended through either an `issue`_ or by sending an email to the `maintainers`_.
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.. _maintainers: mailto:jakob.lass@psi.ch
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.. _issue: https://gitea.psi.ch/lass_j/AMBER/issues
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