Refl1D is a program for analyzing 1-D reflectometry measurements made with X-ray and neutron beamlines. The 1-D models give the depth profile for material scattering density composed of a mixture of flat and continuously varying freeform layers. With polarized neutron measurements, scientists can study the sub-surface structure of magnetic samples. The architecture supports the addition of specialized layer types such as models for the density distribution of polymer brushes, and volume space modeling for proteins in bio-membranes. We provide a number of these models as well as supporting user defined layer types for both structural and magnetic scattering densities.
Fitting is provided by Bumps, a bayesian uncertainty analysis program. In addition to the usual uncertain estimated from the covariance at the best fit location, Bumps includes a Markov chain Monte Carlo analysis code which more completely describes the uncertain and correlations between parameters. Fitting is done in parallel, either using python multiprocessing on a multicore machine, or using MPI for running on a cluster.
Documentation is available at https://refl1d.readthedocs.io. See CHANGES.rst for details on recent changes. Information on the refl1d release process is in release notes.
Use pip install refl1d to install in your python environment.
For the windows application, follow the installation instructions on the latest release page. (For the latest bleeding-edge build, see the unstable release)
Submit requests and pull requests to the project git pages
2 maintainers
Release files for refl1d 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| refl1d-1.0.1.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| refl1d-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.7 MB
Release files / refl1d-1.0.1.tar.gz
| Download URL | refl1d-1.0.1.tar.gz |
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| Size | 1.3 MB |
| Tags | Source |
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| Download URL | refl1d-1.0.1-py3-none-any.whl |
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| Size | 1.4 MB |
| Tags | Python 3 |
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