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bdata-6.9.0


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توضیحات

β-NMR/β-NQR MUD file reader and asymmetry calculator
ویژگی مقدار
سیستم عامل -
نام فایل bdata-6.9.0
نام bdata
نسخه کتابخانه 6.9.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Derek Fujimoto
ایمیل نویسنده fujimoto@phas.ubc.ca
آدرس صفحه اصلی https://github.com/dfujim/bdata
آدرس اینترنتی https://pypi.org/project/bdata/
مجوز -
# bdata <a href="https://pypi.org/project/bdata/" alt="PyPI Version"><img src="https://img.shields.io/pypi/v/bdata?label=PyPI%20Version"/></a> <img src="https://img.shields.io/pypi/format/bdata?label=PyPI%20Format"/> <img src="https://img.shields.io/github/languages/code-size/dfujim/bdata"/> <img src="https://img.shields.io/tokei/lines/github/dfujim/bdata"/> <img src="https://img.shields.io/pypi/l/bdata"/> <a href="https://github.com/dfujim/bdata/commits/master" alt="Commits"><img src="https://img.shields.io/github/commits-since/dfujim/bdata/latest/master"/></a> <a href="https://github.com/dfujim/bdata/commits/master" alt="Commits"><img src="https://img.shields.io/github/last-commit/dfujim/bdata"/></a> [bdata] is a lightwieght [Python] package aimed to aid in the analysis of β-detected nuclear magnetic/quadrupole resonance (β-NMR and β-NQR) data taken at [TRIUMF]. These techniques are similar to muon spin rotation ([μSR]) and "conventional" nuclear magnetic resonance ([NMR]), but use radioactive nuclei as their [NMR] probe in place of the [muon] or a stable isotope. The intended user of [bdata] is anyone analyzing data taken from [TRIUMF]'s β-NMR or β-NQR spectrometers. A key goal of the project is to alleviate much of the technical tedium that is often encountered during any analysis. Used with [bfit] and the [SciPy] ecosystem, [bdata] forms part of a flexible API in the analysis of β-NMR and β-NQR data. [bdata] has been written to fullfill the following needs: * Provide an intuitive means of interfacing with [MUD] files in [Python]. * Fetch missing local data from the [archive]. * Support analyses by providing common data manipulations, such as calculating asymmetries or combining scans. ## [Contents](https://github.com/dfujim/bdata/wiki) * [`bdata`](https://github.com/dfujim/bdata/wiki/bdata) [object]: access β-NMR and β-NQR [MUD] files * [`bjoined`](https://github.com/dfujim/bdata/wiki/bjoined) [object]: append `bdata` objects * [`bmerged`](https://github.com/dfujim/bdata/wiki/bmerged) [object]: combine `bdata` objects * [`life`](https://github.com/dfujim/bdata/wiki/life) [`mdict` object]: dictionary of probe lifetimes. * [`containers`](https://github.com/dfujim/bdata/wiki/containers) [module]: specially defined `mdict` objects with set function. * [`exceptions`](https://github.com/dfujim/bdata/wiki/exceptions) [module]: custom exceptions and warnings for common issues * [`asym_fns`](https://github.com/dfujim/bdata/wiki/asymmetry-functions) [module]: functions for calculating asymmetries and errors ## Citing If you use [bdata] in your work, please cite: - D. Fujimoto. <i>Digging Into MUD With Python: mudpy, bdata, and bfit</i>. <a href="https://arxiv.org/abs/2004.10395"> arXiv:2004.10395 [physics.data-an]</a>. ## Community Guidelines * Please submit contributions to [bdata] 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 [bdata] installation: - [Python] 3.6 or higher: a dynamically typed programming language. [[install](https://wiki.python.org/moin/BeginnersGuide/Download)] and the following are handelled automatically when retrieving [bdata] from the [PyPI]: - [iminuit] : a [Jupyter]-friendly [Python] interface for the [MINUIT2] library. - [mudpy] : data structures for parsing [TRIUMF] [MUD] files. - [pandas] : a fast, powerful, flexible and easy to use data analysis/manipulation tool. - [requests] : an elegant and simple [HTTP] library for [Python]. - [SciPy] : fundamental algorithms for scientific computing in [Python]. ### Install Instructions | | Command | |:-- | :--| From the [PyPI] as user (recommended) | `pip install --user bdata` | From the [PyPI] as root | `pip install bdata` | From source | `python3 setup.py install` | Note that `pip` 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. ### Optional Configuration For convenience, you may want to tell [bdata] where the data is stored on your machine. This is done by defining two environment variables: `BNMR_ARCHIVE` and `BNQR_ARCHIVE`. This can be done, for example, in your `.bashrc` script. Both variables expect the data to be stored in directories with a particular heirarchy: ``` /path/ bnmr/ bnqr/ 2017/ 2018/ 045123.msr ``` Here, the folders `/path/bnmr/` and `/path/bnqr/` both contain runs (i.e., `.msr` files) organized into subdirectories by year of aquasition. In this case, you would set (in your `.bashrc`): ```bash export BNMR_ARCHIVE=/path/bnmr/ export BNQR_ARCHIVE=/path/bnqr/ ``` If [bdata] cannot find the data, it will attempt to download the relavent [MUD] files from the [archive] and store them in `$HOME/.bdata`. This is the default behaviour for [bdata] installed from [PyPI] [Python]: https://www.python.org/ [SciPy]: https://www.scipy.org/ [Cython]: https://cython.org/ [NumPy]: https://numpy.org/ [pandas]: https://pandas.pydata.org/ [Matplotlib]: https://matplotlib.org/ [requests]: https://requests.readthedocs.io/en/master/ [Jupyter]: https://jupyter.org/ [YAML]: https://yaml.org/ [C]: https://en.wikipedia.org/wiki/C_(programming_language) [HTTP]: https://en.wikipedia.org/wiki/Hypertext_Transfer_Protocol [TRIUMF]: https://www.triumf.ca/ [CMMS]: https://cmms.triumf.ca [MUD]: https://cmms.triumf.ca/mud/ [archive]: https://cmms.triumf.ca/mud/runSel.html [UBC]: https://www.ubc.ca/ [μSR]: https://en.wikipedia.org/wiki/Muon_spin_spectroscopy [NMR]: https://en.wikipedia.org/wiki/Nuclear_magnetic_resonance [muon]: https://en.wikipedia.org/wiki/Muon [PyPI]: https://pypi.org/project/bdata/ [mudpy]: https://github.com/dfujim/mudpy [bdata]: https://github.com/dfujim/bdata [bfit]: https://github.com/dfujim/bfit [iminuit]: https://github.com/scikit-hep/iminuit [MINUIT2]: https://root.cern/doc/master/Minuit2Page.html


نحوه نصب


نصب پکیج whl bdata-6.9.0:

    pip install bdata-6.9.0.whl


نصب پکیج tar.gz bdata-6.9.0:

    pip install bdata-6.9.0.tar.gz