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Generalized Indirect Fourier Transformation (GIFT). (see J. Brunner-Popela & O . Glatter, J. Appl. Cryst. (1997) 30 , 431-442. Small-angle scattering of interacting particles. I. Basic principles of a global evaluation method ) Non-dilute systems
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Generalized Indirect Fourier Transformation (GIFT) (see J. Brunner-Popela & O.Glatter, J. Appl. Cryst. (1997) 30, 431-442. Small-angle scattering of interacting particles. I. Basic principles of a global evaluation method) Non-dilute systems no longer just solution of linear weighted least-squares problem intraparticle & interparticle scattering must be considered scattering intensity written as product of particle form factor P(q) & structure factor S(q) leads to a highly nonlinear problem
Generalized Indirect Fourier Transformation (GIFT) (see J. Brunner-Popela & O.Glatter, J. Appl. Cryst. (1997) 30, 431-442. Small-angle scattering of interacting particles. I. Basic principles of a global evaluation method) Non-dilute systems generalized version of the indirect Fourier transformation method - possible to determine form factor & structure factor simultaneously no models for form factor structure factor parameterized w/ up to four parameters for given interaction model
Generalized Indirect Fourier Transformation (GIFT) • Non-dilute systems • For homogeneous & isotropic dispersion of spherical particles • also possible for non-spherical systems - structure factor replaced by so-called effective structure factor
Generalized Indirect Fourier Transformation (GIFT) • Non-dilute systems • For homogeneous & isotropic dispersion of spherical particles • also possible for non-spherical systems - structure factor replaced by so-called effective structure factor • A major effect of S(q) is deviation from ideal particle • scattering curve at low q
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Vectord contains the coefficients dk (k = 1-4) determining the structure factor for the particles volume fraction size (radius) polydispersity parameter particle charge
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Then
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Then Accounting for smearing
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Determine c and dk by usual weighted least squares procedure
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Determine c s and dk s by usual weighted least squares procedure Complex problem, so separate into 2 parts. Use a fixed d to 1st get c s
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Determine c s and dk s by usual weighted least squares procedure Complex problem, so separate into 2 parts. Use a fixed d to 1st get c s then use fixed c s to get dk s then iterate
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulation tests: simulate P(q), S(q,d) smear add noise get I(q)
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulation tests: simulate P(q), S(q,d) smear add noise get I(q) determine initial values for dk s then get c s from
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulation tests: simulate P(q), S(q,d) smear add noise get I(q) determine initial values for dk s then get c s from determine dk s from above iterate until final c s and dk s obtained
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems determine initial values for dk s then get c s from determine dk s from above iterate until final c s and dk s obtained finallyuse c s to get pddf pA(r) dk s directly give info on vol. fract., polydispersity distrib., hard sphere radius, charge
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Consider case of monodispersed hard spheres w/ no charge (3 dk s) Effect of volume fraction = 0.35 = 0.15
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Consider case of monodispersed hard spheres w/ no charge (3 dk s) Effect of radius RHS RHS = 6 nm RHS = 14 nm
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Consider case of hard spheres w/ no charge (3 dk s) Effect of polydispersity = 0 = 0.6
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulated data for homogeneous spheres ( = 0.15, RHS = 10 nm, = 0.4)
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulated data for homogeneous 11 nm x 21 nm cylinders ( = 0.15, RHS = 12 nm, = 0.4)
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulated data for non-homogeneous spheres ( = 0.285, RHS = 10 nm, = 0.3)
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulated data for non-homogeneous spheres ( = 0.285, RHS = 10 nm, = 0.3)
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulated data for non-homogeneous spheres ( = 0.285, RHS = 10 nm, = 0.3)
Generalized Indirect Fourier Transformation (GIFT) Non-dilute systems Simulated data for non-homogeneous 11 nm x 29 nm cylinders ( = 0.15, RHS = 12 nm, = 0.4)
Generalized Indirect Fourier Transformation (GIFT) • Comments • Min. amt of info ~ system required • No models - only require hard spheres type interaction & polydispersity • expressed by an averaged structure factor • No assumptions as to particle shape, size, distrib., or internal structure • Not completely valid (as of 1997) for highly dense systems, true polydispersed • systems, or highly non-spherical particles