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_friendlyAPI.
If you use mudpy in your work, please cite:
- D. Fujimoto. Digging Into MUD With Python: mudpy, bdata, and bfit. arXiv:2004.10395 [physics.data-an].
- Please submit contributions to mudpy via a pull request
- To report issues or get support, please file a new issue
The following packages/applications are needed prior to installation:
| 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, python3.9, etc. - python version must be >=3.9).
If the above does not work, try using pip3 or python3 -m pip instead.
mud_friendly[C wrapper]: python access to MUD C functionsmdata[object]: access general MUD files pythonicallycontainers.mcontainer[object]: special container base classcontainers.mdict[object]: enhanced dictionary class for sub-level lookup and attribute accesscontainers.mcomment[object]: special container for commentscontainers.mhist[object]: special container for histogramscontainers.mscaler[object]: special container for scalerscontainers.mlist[object]: enhanced list class for sub-level lookupcontainers.mvar[object]: special container for variables