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Solving crystal structures from powder data - III: The use of the probability distributions for estimating the |F|'s

Academic Article
Publication Date:
1997
abstract:
Decomposition programs of powder patterns play a basic role for crystal structure solution from powder data. Indeed, they provide the structure-factor ampli- tudes to which direct or Patterson methods can be applied. The decomposition process is not always satisfactory: large errors in the estimates frequently frustrate any attempt to solve crystal structures. This paper describes a probabilistic method that, integrated with the Le Bail algorithm, is able to improve amplitude estimates. The method uses triplet-invariant distribution functions, from which marginal distributions estimating structure-factor moduli were derived.
Iris type:
01.01 Articolo in rivista
Keywords:
Two-Stage Method; pattern decomposition
List of contributors:
Giacovazzo, Carmelo; Guagliardi, Antonietta; Rizzi, Rosanna; Carrozzini, Benedetta
Authors of the University:
CARROZZINI BENEDETTA
GUAGLIARDI ANTONIETTA
RIZZI ROSANNA
Handle:
https://iris.cnr.it/handle/20.500.14243/122642
Published in:
JOURNAL OF APPLIED CRYSTALLOGRAPHY
Journal
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