.. _broad-peak: broad_peak ======================================================= Broad peak on top of a power law decay ================== =============================== ======== ============= Parameter Description Units Default value ================== =============================== ======== ============= scale Scale factor or Volume fraction None 1 background Source background |cm^-1| 0.001 porod_scale Power law scale factor None 1e-05 porod_exp Exponent of power law None 3 peak_scale Scale factor for broad peak None 10 correlation_length screening length |Ang| 50 peak_pos Peak position in q |Ang^-1| 0.1 width_exp Exponent of peak width None 2 shape_exp Exponent of peak shape None 1 ================== =============================== ======== ============= The returned value is scaled to units of |cm^-1| |sr^-1|, absolute scale. **Definition** This model calculates an empirical functional form for SAS data characterized by a broad scattering peak. Many SAS spectra are characterized by a broad peak even though they are from amorphous soft materials. For example, soft systems that show a SAS peak include copolymers, polyelectrolytes, multiphase systems, layered structures, etc. 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 scattering intensity $I(q)$ is calculated as .. math:: I(q) = \frac{A}{q^n} + \frac{C}{1 + (|q - q_0|\xi)^m}^p + B Here the peak position is related to the d-spacing as $q_0 = 2\pi / d_0$. $A$ is the Porod law scale factor, $n$ the Porod exponent, $C$ is the Lorentzian scale factor, $m$ the exponent of $q$, $\xi$ the screening length, and $B$ the flat background. $p$ generalizes the model. With m = 2 and p = 1 the Lorentz model is obtained whereas for m = 2 and p = 2 the Broad-Peak model is identical to the Debye-Anderson-Brumberger (dab) model. For 2D data the scattering intensity is calculated in the same way as 1D, where the $q$ vector is defined as .. math:: q = \sqrt{q_x^2 + q_y^2} .. figure:: img/broad_peak_autogenfig.png 1D plot corresponding to the default parameters of the model. **Source** :download:`broad_peak.py ` **References** None. **Authorship and Verification** * **Author:** NIST IGOR/DANSE **Date:** pre 2010 * **Last Modified by:** Dirk Honecker **Date:** May 28, 2021 * **Last Reviewed by:** Richard Heenan **Date:** March 21, 2016