NeutronPy is a python library with commonly used tools for neutron scattering measurements, primarily for Triple Axis Spectrometer data, but easily applied to other types of data, including some reduced Time of Flight data. Below is a non-exhaustive list of Neutronpy’s features:
- Triple Axis Spectrometer resolution function calculation (Translated from ResLib), including
Resolution ellipses
Instrument visualization
Convolution
- Time of Flight Spectrometer resolution function calculation (based on Violini et al doi:10.1016/j.nima.2013.10.042 ), including
Resolution ellipses
- Structure factor calculation, including
- Structure factors with support for
Mass Normalization
Debye-Waller factor
Unit cell visualization
Single-ion magnetic form factor calculation
- Least-Squares fitting (custom interface for scipy.optimize.leastsq using lmfit features), including
Built-in physical models
- Basic data operations
Binning
Normalization (time/monitor)
Calculated peak integrated intensity, position, and width
Plotting
Slicing
- Loading from common TAS file types, including
SPICE
ICE
ICP
MAD
See Roadmap for panned future features.
David M Fobes started development of NeutronPy while in the Neutron Scattering Group, part of the Condensed Matter Physics & Materials Science Department (CMPMSD) at Brookhaven National Laboratory, and has continued within the MPA-CMMS and A-1 groups of Los Alamos National Laboratory. Both are US Department of Energy, Office of Basic Energy Sciences funded laboratories.
NeutronPy is a work-in-progress (see the Roadmap in the wiki for indications of new upcoming features) and as such, still has many bugs, so use at your own risk; see Disclaimer. To report bugs or suggest features see Contributions.
Requirements
The following packages are required to install this library:
Python >= 3.6
numpy >= 1.10.0
scipy >= 1.0.0
lmfit >= 0.9.5
matplotlib >= 2.0.0
h5py
The following package is required to use the neutronpy entry-point gui optional feature
pyqt5 >= 5.4.1
The following packages are required to test this library:
pytest >= 3
mock
Installation
It is recommended that you use anaconda or pip to install NeutronPy:
conda install -c neutronpy neutronpy
or:
pip install neutronpy
See Installation for more detailed instructions.
Documentation
Documentation is available at neutronpy.github.io, or can be built using sphinx by navigating to the doc/ folder and executing make html; results will be in the doc/_build/ folder.
To ask questions you may either request access to the Neutronpy Slack Team, or create a Github issue.
Building documentation requires the following additional packages:
sphinx>=1.4
releases>=1.5.0
numpydoc>=0.8.0
neutronpy_rtd_sphinx_theme
Contributions
Contributions may be made by submitting a pull-request for review using the fork-and-pull method on GitHub. Feature requests and bug reports can be made using the GitHub issues interface. Please read the development guide for details on how to best contribute.
To discuss development you may request access to the Neutronpy Slack Team.
Copyright & Licensing
Copyright (c) 2014-2018, David M. Fobes, Released under terms in LICENSE.
The source for the Triple Axis Spectrometer resolution calculations was translated in part from the ResLib 3.4c (2009) library released under the terms in LICENSE.RESLIB, originally developed by Andrey Zheludev at Brookhaven National Laboratory, Oak Ridge National Laboratory and ETH Zuerich. email: zhelud@ethz.ch.
Disclaimer
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Metadata
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