peaks-arpes 0.4.0

Python tools for analysis of angle-resolved photoemission and related spectroscopic data

peaks

peaks: Python Electron Spectroscopy Analysis by King Group St Andrews.

peaks provides a collection of analysis tools for the loading, processing and visualisation of spectroscopic data, with a core focus on tools for angle-resolved photoemission.

peaks is an evolution of the PyPhoto package originally developed by Phil King, Brendan Edwards, Tommaso Antonelli, Edgar Abarca Morales, Lewis Hart, and Liam Trzaska from the King group at the University of St Andrews. This version of peaks is the result of a major restructuring of the package in 2023-2025 by Brendan Edwards, Phil King, and Shu Mo.

Contact [e-mail].

Citation

If you use peaks in your work, please cite:

peaks: a Python package for analysis of angle-resolved photoemission and related spectroscopies
Phil D. C. King, Brendan Edwards, Shu Mo, Tommaso Antonelli, Edgar Abarca Morales, Lewis Hart, and Liam Trzaska
arXiv:!!ref to be inserted!! (2025)

Installation

peaks is registed on PyPI under the name peaks-arpes.

It is recommended to install peaks in its own isolated environment. E.g. using conda:

conda create -n peaks python=3.12
conda activate peaks
pip install peaks-arpes

peaks will then be installed together with its core dependencies.

Optional dependencies

To install optional dependencies, append \[dep1, dep2, ...\] to the end of the pip install ... command, where dep is the name of the dependency. The following options can currently be specified:

• structure - required for the use of the bz module, for e.g. plotting Brillouin zones on the data;
• ML - required for the use of the machine learning module;
• dev - optional development dependencies, used for e.g. linting the code and installing pre-commit hooks.
• docs - optional dependencies for building local copies of the documentation.

Installing from source

The latest version of peaks can be installed directly from source:

pip install git+https://github.com/phrgab/peaks.git

To install a specific tagged version, append @<tag> to the end of the git link where <tag> is the tag name.

Basic Usage

peaks is typically run in a Jupyter notebook or equivalent. To import peaks run:

import peaks as pks

See the User Guide for more information on the package and its use.

Documentation

The peaks documentation can be found at research.st-andrews.ac.uk/kinggroup/peaks.

Contributing

Contributions to the package are welcome. Please see the contributing guide in the documentation for more information.

License

Copyright 2019-2025, peaks developers

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

peaks also makes extensive use of many other packages - see dependencies in pyproject.toml and their relevant licenses in the source control of those packages.