Matches in SemOpenAlex for { <https://semopenalex.org/work/W2095714238> ?p ?o ?g. }
- W2095714238 endingPage "613" @default.
- W2095714238 startingPage "600" @default.
- W2095714238 abstract "We present a novel application of the maximum entropy (MaxEnt) method for solving the double-inverse problems of removing instrument broadening from X-ray diffraction profiles and calculating the column-length distribution of the crystallites. The MaxEnt approach is shown to have compelling advantages over the conventional methods it replaces: it is stable and robust, incorporates noise and a priori information into the solution, preserves positivity of the solution, and can be applied successively. We also show how uncertainties in the derived profiles and column distributions can be determined and used in subsequent calculations, including integral breadth, Fourier coefficients, column-length distributions and apparent particle sizes. Calculations are performed on simulated X-ray diffraction profiles for a range of particle sizes, with a detailed study of the sensitivity of the results to background-level estimates and the use of an incorrect instrument response function." @default.
- W2095714238 created "2016-06-24" @default.
- W2095714238 creator A5043190605 @default.
- W2095714238 creator A5059466257 @default.
- W2095714238 date "1999-08-01" @default.
- W2095714238 modified "2023-09-23" @default.
- W2095714238 title "A maximum entropy method for determining column-length distributions from size-broadened X-ray diffraction profiles" @default.
- W2095714238 cites W1523294217 @default.
- W2095714238 cites W1539157419 @default.
- W2095714238 cites W161994183 @default.
- W2095714238 cites W1972810488 @default.
- W2095714238 cites W1973518565 @default.
- W2095714238 cites W1979546591 @default.
- W2095714238 cites W1991887971 @default.
- W2095714238 cites W1994029686 @default.
- W2095714238 cites W1994692758 @default.
- W2095714238 cites W1997652591 @default.
- W2095714238 cites W1998936337 @default.
- W2095714238 cites W2015197022 @default.
- W2095714238 cites W2026339405 @default.
- W2095714238 cites W2048955200 @default.
- W2095714238 cites W2086635088 @default.
- W2095714238 cites W2090229403 @default.
- W2095714238 cites W2109525674 @default.
- W2095714238 cites W2807981689 @default.
- W2095714238 cites W94926844 @default.
- W2095714238 cites W2051180102 @default.
- W2095714238 doi "https://doi.org/10.1107/s0021889899000692" @default.
- W2095714238 hasPublicationYear "1999" @default.
- W2095714238 type Work @default.
- W2095714238 sameAs 2095714238 @default.
- W2095714238 citedByCount "20" @default.
- W2095714238 countsByYear W20957142382014 @default.
- W2095714238 countsByYear W20957142382015 @default.
- W2095714238 countsByYear W20957142382018 @default.
- W2095714238 countsByYear W20957142382020 @default.
- W2095714238 countsByYear W20957142382021 @default.
- W2095714238 countsByYear W20957142382022 @default.
- W2095714238 crossrefType "journal-article" @default.
- W2095714238 hasAuthorship W2095714238A5043190605 @default.
- W2095714238 hasAuthorship W2095714238A5059466257 @default.
- W2095714238 hasConcept C102519508 @default.
- W2095714238 hasConcept C105795698 @default.
- W2095714238 hasConcept C111472728 @default.
- W2095714238 hasConcept C120665830 @default.
- W2095714238 hasConcept C121332964 @default.
- W2095714238 hasConcept C121864883 @default.
- W2095714238 hasConcept C134306372 @default.
- W2095714238 hasConcept C137637335 @default.
- W2095714238 hasConcept C138885662 @default.
- W2095714238 hasConcept C147789679 @default.
- W2095714238 hasConcept C159985019 @default.
- W2095714238 hasConcept C185592680 @default.
- W2095714238 hasConcept C187530423 @default.
- W2095714238 hasConcept C191897082 @default.
- W2095714238 hasConcept C192562407 @default.
- W2095714238 hasConcept C204323151 @default.
- W2095714238 hasConcept C207114421 @default.
- W2095714238 hasConcept C207467116 @default.
- W2095714238 hasConcept C2524010 @default.
- W2095714238 hasConcept C30475298 @default.
- W2095714238 hasConcept C33923547 @default.
- W2095714238 hasConcept C75553542 @default.
- W2095714238 hasConcept C9679016 @default.
- W2095714238 hasConceptScore W2095714238C102519508 @default.
- W2095714238 hasConceptScore W2095714238C105795698 @default.
- W2095714238 hasConceptScore W2095714238C111472728 @default.
- W2095714238 hasConceptScore W2095714238C120665830 @default.
- W2095714238 hasConceptScore W2095714238C121332964 @default.
- W2095714238 hasConceptScore W2095714238C121864883 @default.
- W2095714238 hasConceptScore W2095714238C134306372 @default.
- W2095714238 hasConceptScore W2095714238C137637335 @default.
- W2095714238 hasConceptScore W2095714238C138885662 @default.
- W2095714238 hasConceptScore W2095714238C147789679 @default.
- W2095714238 hasConceptScore W2095714238C159985019 @default.
- W2095714238 hasConceptScore W2095714238C185592680 @default.
- W2095714238 hasConceptScore W2095714238C187530423 @default.
- W2095714238 hasConceptScore W2095714238C191897082 @default.
- W2095714238 hasConceptScore W2095714238C192562407 @default.
- W2095714238 hasConceptScore W2095714238C204323151 @default.
- W2095714238 hasConceptScore W2095714238C207114421 @default.
- W2095714238 hasConceptScore W2095714238C207467116 @default.
- W2095714238 hasConceptScore W2095714238C2524010 @default.
- W2095714238 hasConceptScore W2095714238C30475298 @default.
- W2095714238 hasConceptScore W2095714238C33923547 @default.
- W2095714238 hasConceptScore W2095714238C75553542 @default.
- W2095714238 hasConceptScore W2095714238C9679016 @default.
- W2095714238 hasIssue "4" @default.
- W2095714238 hasLocation W20957142381 @default.
- W2095714238 hasOpenAccess W2095714238 @default.
- W2095714238 hasPrimaryLocation W20957142381 @default.
- W2095714238 hasRelatedWork W1989814424 @default.
- W2095714238 hasRelatedWork W1990670894 @default.
- W2095714238 hasRelatedWork W2004069761 @default.
- W2095714238 hasRelatedWork W2014902948 @default.
- W2095714238 hasRelatedWork W2024518081 @default.
- W2095714238 hasRelatedWork W2044351900 @default.
- W2095714238 hasRelatedWork W2050001982 @default.