mud-py 1.2.8

MUon Data file reader

mudpy

MUon (MUD) Data file IO package.

mudpy is a lightwieght Python package aimed to aid in the analysis of muon spin rotation (μSR) and β-detected nuclear magnetic/quadrupole resonance (β-NMR and β-NQR) data taken at TRIUMF. These techniques are similar to "conventional" nuclear magnetic resonance (NMR), but use radioactive nuclei or a muon as the NMR probe in place of a stable isotope.

The intended user of mudpy is anyone analyzing data in TRIUMF's MUD file format. A key goal of the project is to alleviate much of the technical tedium that is often encountered during any analysis.

mudpy has been written to fullfill the following needs:

• Provide a pythonic means of interfacing with MUD files in Python.
• Provide low-level wrappers of the mud_friendly API.

Citing

If you use mudpy in your work, please cite:

• D. Fujimoto. bfit: A Python Application For Beta-Detected NMR. arXiv:2004.10395 [physics.data-an].

Community Guidelines

• Please submit contributions to mudpy via a pull request
• To report issues or get support, please file a new issue

Installation and Use

Dependencies

The following packages/applications are needed prior to installation:

• Python 3.6 or higher: a dynamically typed programming language. [install]

Install Instructions

	Command
From the PyPI as user (recommended)	pip install --user mud-py
From the PyPI as root	pip install mud-py
From source	python3 setup.py install

Note the hyphen in mud-py. The pip command should point to a (version 3) Python executable (e.g., python3, python3.8, etc.). If the above does not work, try using pip3 or python3 -m pip instead.

Contents

• mud_friendly [C wrapper]: python access to MUD C functions
• mdata [object]: access general MUD files pythonically
• containers.mcontainer [object]: special container base class
• containers.mdict [object]: enhanced dictionary class for sub-level lookup and attribute access
• containers.mcomment [object]: special container for comments
• containers.mhist [object]: special container for histograms
• containers.mscaler [object]: special container for scalers
• containers.mlist [object]: enhanced list class for sub-level lookup
• containers.mvar [object]: special container for variables