Teubner Strey

Description:

Definition

This model calculates the scattered intensity of a two-component system using the Teubner-Strey model. Unlike `dab` this function generates a peak. A two-phase material can be characterised by two length scales - a correlation length and a domain size (periodicity).

The original paper by Teubner and Strey defined the function as:

$$ I(q) \propto \frac{1}{a_2 + c_1 q^2 + c_2 q^4} + \text{background}
$$
where the parameters $a_2$, $c_1$ and $c_2$ are defined in terms of the periodicity, $d$, and correlation length $\xi$ as:

$$ a_2 = \biggl[1+\bigl(\frac{2\pi\xi}{d}\bigr)^2\biggr]^2\\ c_1 = -2\xi^2\bigl(\frac{2\pi\xi}{d}\bigr)^2+2\xi^2\\ c_2 = \xi^4
$$
and thus, the periodicity, $d$ is given by

$$ d = 2\pi\left[\frac12\left(\frac{a_2}{c_2}\right)^{1/2} - \frac14\frac{c_1}{c_2}\right]^{-1/2}
$$
and the correlation length, $\xi$, is given by

$$ \xi = \left[\frac12\left(\frac{a_2}{c_2}\right)^{1/2} + \frac14\frac{c_1}{c_2}\right]^{-1/2}
$$
Here the model is parameterised in terms of $d$ and $\xi$ and with an explicit volume fraction for one phase, $\phi_a$, and contrast, $\delta\rho^2 = (\rho_a - \rho_b)^2$ :

$$ I(q) = \frac{8\pi\phi_a(1-\phi_a)(\Delta\rho)^2c_2/\xi} {a_2 + c_1q^2 + c_2q^4}
$$
where `8\pi\phi_a(1-\phi_a)(\Delta\rho)^2c_2/\xi` is the constant of proportionality from the first equation above.

In the case of a microemulsion, $a_2 > 0$, $c_1 < 0$, and $c_2 >0$.

For 2D data, scattering intensity is calculated in the same way as 1D, where the $q$ vector is defined as

$$ q = \sqrt{q_x^2 + q_y^2}
$$
References

M Teubner, R Strey, *J. Chem. Phys.*, 87 (1987) 3195
K V Schubert, R Strey, S R Kline and E W Kaler, *J. Chem. Phys.*, 101 (1994) 5343
H Endo, M Mihailescu, M. Monkenbusch, J Allgaier, G Gompper, D Richter, B Jakobs, T Sottmann, R Strey, and I Grillo, *J. Chem. Phys.*, 115 (2001), 580

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Created By sasview
Uploaded Sept. 7, 2017, 3:56 p.m.
Category Shape-Independent
Score 0
Verified Verified by SasView Team on 07 Sep 2017
In Library This model is included in the SasView library by default
Files teubner_strey.py

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