2017
DOI: 10.1107/s1600576717000577
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On the use of two-time correlation functions for X-ray photon correlation spectroscopy data analysis

Abstract: Multi-time correlation functions are especially well suited to study nonequilibrium processes. In particular, two-time correlation functions are widely used in X-ray photon correlation experiments on systems out of equilibrium. One-time correlations are often extracted from two-time correlation functions at different sample ages. However, this way of analysing two-time correlation functions is not unique. Here, two methods to analyse two-time correlation functions are scrutinized, and three illustrative exampl… Show more

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Cited by 38 publications
(37 citation statements)
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“…with the ensemble average h:::i performed over all the pixels belonging to the same q-value. C(t 1 , t 1 + t) holds important information when the investigated dynamics are not ergodic, enabling additional insight into out-of equilibrium conditions (Bikondoa, 2017;Madsen et al, 2010). However, if the dynamics are stationary the correlations will depend solely on the lag time t = t 2 À t 1 , and with an additional time average of the two-time matrix it is possible to extract the correlation function g 2 (t) À1.…”
Section: Methodsmentioning
confidence: 99%
“…with the ensemble average h:::i performed over all the pixels belonging to the same q-value. C(t 1 , t 1 + t) holds important information when the investigated dynamics are not ergodic, enabling additional insight into out-of equilibrium conditions (Bikondoa, 2017;Madsen et al, 2010). However, if the dynamics are stationary the correlations will depend solely on the lag time t = t 2 À t 1 , and with an additional time average of the two-time matrix it is possible to extract the correlation function g 2 (t) À1.…”
Section: Methodsmentioning
confidence: 99%
“…If the sample dynamics change during the XPCS series, the g 2 -function in Equation (1) will not detect the dynamics of the sample accurately because of the averaging over time t. In order to quantity such dynamical heterogeneities, the two-time correlation C(q, t 1 , t 2 ) = I(q, t 1 )I(q, t 2 ) pix I(q, t 1 ) pix I(q, t 2 ) pix (7) can be used [45,46]. It calculates the correlation between two patterns of the series at times t 1 and t 2 averaged over all detector pixels of same q without any time averaging.…”
Section: Higher-order Correlationsmentioning
confidence: 99%
“…The out-of-equilibrium behaviour generally associated with colloidal gels and other soft disordered solids is captured by the instantaneous two-times correlation function, 3,11,[41][42][43][44][45] ,…”
Section: Direction-dependent Intensity Correlation Functionsmentioning
confidence: 99%