This file has been automatically generated by sasfit_convert and manually edited by Wojciech Potrzebowski, ESS on 2017-12-05.
The model calculates an empirical functional form for SAS data characterized by broad_peak (as defined in SASfit: https://github.com/SASfit/SASfit/)
Definition:
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Many SANS spectra are characterized by a broad peak even though they are from amorphous soft materials.
The d-spacing corresponding to the broad peak is a characteristic distance between the scattering inhomogeneities (such as in lamellar, cylindrical, or spherical morphologies or for bicontinuous structures).
The following simple functional form reproduces the broad peak feature:
$$ I(q) = \frac{I_0}{({1 + (|q - q_0|\xi)^m})^p}$$
where $I_0$: forward scattering
$\xi$: correlation length
$q_0$:peak position which is related to the d-spacing as $q_0 = 2\pi/d$
$m$: exponent m
$p$: exponnent p
Here the peak position is related to the d-spacing as $q_0 = 2\pi/d$.
Soft systems that show a SANS peak include copolymers, polyelectrolytes, multiphase systems, layered structures, etc.
Note:
For $q_0 = 0$, $m = 2$ and $p = 1$ one gets the Ornstein-Zernike model.
For $q_0 = 0$, $m = 2$ and $p = 2$ The Broad-Peak model is identical to the
Debye-Anderson-Brumberger model.
For 2D data the scattering intensity is calculated in the same way as 1D, where the $q$ vector element for given x and y is defined as
$$ q = \sqrt{q_x^2 + q_y^2}$$
References:
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https://github.com/SASfit/SASfit/
Original SASfit file: /src/plugins/non_particulate/sasfit_ff_broad_peak.c
A paper about SASfit has been published in J. Appl. Cryst. (2015). 48, 1587-1598 doi:10.1107/S1600576715016544
Created By | wojciechpotrzebowski |
Uploaded | Dec. 7, 2017, 10:13 a.m. |
Category | Shape-Independent |
Score | 0 |
Verified | This model has not been verified by a member of the SasView team |
In Library | This model is not currently included in the SasView library. You must download the files and install it yourself. |
Files |
sasfit_broad_peak.c sasfit_broad_peak.py |
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