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BBEST: Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated background signal associated with incoherent scattering maximizes the posterior probability, which combines the likelihood of this signal in reciprocal and real spaces with the prior that favors smooth lines. The description of the corresponding approach could be found at Gagin and Levin (2014) <DOI:10.1107/S1600576714023796>.
Getting started
Browse package contents
Package details |
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| Author | Anton Gagin and Igor Levin with contributions from Charles R. Hogg III |
| Maintainer | Anton Gagin <av.gagin@gmail.com> |
| License | GPL-3 |
| Version | 0.1-8 |
| Package repository | View on CRAN |
| Installation |
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