Buy article online - an online subscription or single-article purchase is required to access this article.
Download citation
Download citation
link to html
This paper examines the dependence of experimental noise in the X-ray rocking-curve experiment on the measured intensity, and develops a procedure for the use of this noise characteristic as a weight function for the optimization and analysis of calculated fits to the rocking-curve pattern. The width of the noise distribution at a given experimental condition is shown to provide a measurement of the reliability of the individual data points, which can be used to attain a statistically unbiased fit to the data. A theoretical model of the dependence of the noise on measured intensity is developed, based on the well known binomial distribution, and the conditions for applicability of this model are discussed. This theoretical noise characteristic is compared to several empirical models and is shown to provide both an excellent estimate of the measured noise and enhanced fits to experimental rocking curves.

Subscribe to Journal of Applied Crystallography

The full text of this article is available to subscribers to the journal.

If you have already registered and are using a computer listed in your registration details, please email support@iucr.org for assistance.

Buy online

You may purchase this article in PDF and/or HTML formats. For purchasers in the European Community who do not have a VAT number, VAT will be added at the local rate. Payments to the IUCr are handled by WorldPay, who will accept payment by credit card in several currencies. To purchase the article, please complete the form below (fields marked * are required), and then click on `Continue'.
E-mail address* 
Repeat e-mail address* 
(for error checking) 

Format*   PDF (US $40)
In order for VAT to be shown for your country javascript needs to be enabled.

VAT number 
(non-UK EC countries only) 
Country* 
 

Terms and conditions of use
Contact us

Follow J. Appl. Cryst.
Sign up for e-alerts
Follow J. Appl. Cryst. on Twitter
Follow us on facebook
Sign up for RSS feeds