| 1 | r""" |
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| 2 | This model calculates an empirical functional form for SAS data using SpericalSLD profile |
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| 3 | |
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| 4 | Similarly to the OnionExpShellModel, this model provides the form factor, P(q), for a multi-shell sphere, |
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| 5 | where the interface between the each neighboring shells can be described by one of a number of functions |
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| 6 | including error, power-law, and exponential functions. This model is to calculate the scattering intensity |
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| 7 | by building a continuous custom SLD profile against the radius of the particle. The SLD profile is composed |
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| 8 | of a flat core, a flat solvent, a number (up to 9 ) flat shells, and the interfacial layers between |
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| 9 | the adjacent flat shells (or core, and solvent) (see below). |
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| 10 | |
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| 11 | .. figure:: img/spherical_sld_profile.gif |
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| 12 | |
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| 13 | Exemplary SLD profile |
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| 14 | |
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| 15 | Unlike the OnionExpShellModel (using an analytical integration), |
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| 16 | the interfacial layers here are sub-divided and numerically integrated assuming each of the sub-layers are described |
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| 17 | by a line function. The number of the sub-layer can be given by users by setting the integer values of npts_inter. |
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| 18 | The form factor is normalized by the total volume of the sphere. |
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| 19 | |
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| 20 | Definition |
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| 21 | ---------- |
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| 22 | |
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| 23 | The form factor $P(q)$ in 1D is calculated by: |
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| 24 | |
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| 25 | .. math:: |
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| 26 | |
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| 27 | P(q) = \frac{f^2}{V_\text{particle}} \text{ where } |
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| 28 | f = f_\text{core} + \sum_{\text{inter}_i=0}^N f_{\text{inter}_i} + |
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| 29 | \sum_{\text{flat}_i=0}^N f_{\text{flat}_i} +f_\text{solvent} |
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| 30 | |
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| 31 | For a spherically symmetric particle with a particle density $\rho_x(r)$ the sld function can be defined as: |
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| 32 | |
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| 33 | .. math:: |
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| 34 | |
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| 35 | f_x = 4 \pi \int_{0}^{\infty} \rho_x(r) \frac{\sin(qr)} {qr^2} r^2 dr |
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| 36 | |
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| 37 | |
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| 38 | so that individual terms can be calcualted as follows: |
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| 39 | |
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| 40 | .. math:: |
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| 41 | f_\text{core} = 4 \pi \int_{0}^{r_\text{core}} \rho_\text{core} \frac{\sin(qr)} {qr} r^2 dr = |
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| 42 | 3 \rho_\text{core} V(r_\text{core}) |
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| 43 | \Big[ \frac{\sin(qr_\text{core}) - qr_\text{core} \cos(qr_\text{core})} {qr_\text{core}^3} \Big] |
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| 44 | |
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| 45 | f_{\text{inter}_i} = 4 \pi \int_{\Delta t_{ \text{inter}_i } } \rho_{ \text{inter}_i } \frac{\sin(qr)} {qr} r^2 dr |
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| 46 | |
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| 47 | f_{\text{shell}_i} = 4 \pi \int_{\Delta t_{ \text{inter}_i } } \rho_{ \text{flat}_i } \frac{\sin(qr)} {qr} r^2 dr = |
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| 48 | 3 \rho_{ \text{flat}_i } V ( r_{ \text{inter}_i } + \Delta t_{ \text{inter}_i } ) |
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| 49 | \Big[ \frac{\sin(qr_{\text{inter}_i} + \Delta t_{ \text{inter}_i } ) - q (r_{\text{inter}_i} + |
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| 50 | \Delta t_{ \text{inter}_i }) \cos(q( r_{\text{inter}_i} + \Delta t_{ \text{inter}_i } ) ) } |
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| 51 | {q ( r_{\text{inter}_i} + \Delta t_{ \text{inter}_i } )^3 } \Big] |
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| 52 | -3 \rho_{ \text{flat}_i } V(r_{ \text{inter}_i }) |
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| 53 | \Big[ \frac{\sin(qr_{\text{inter}_i}) - qr_{\text{flat}_i} \cos(qr_{\text{inter}_i}) } {qr_{\text{inter}_i}^3} \Big] |
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| 54 | |
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| 55 | f_\text{solvent} = 4 \pi \int_{r_N}^{\infty} \rho_\text{solvent} \frac{\sin(qr)} {qr} r^2 dr = |
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| 56 | 3 \rho_\text{solvent} V(r_N) |
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| 57 | \Big[ \frac{\sin(qr_N) - qr_N \cos(qr_N)} {qr_N^3} \Big] |
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| 58 | |
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| 59 | |
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| 60 | Here we assumed that the SLDs of the core and solvent are constant against $r$. |
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| 61 | The SLD at the interface between shells, $\rho_{\text {inter}_i}$ |
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| 62 | is calculated with a function chosen by an user, where the functions are |
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| 63 | |
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| 64 | Exp: |
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| 65 | |
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| 66 | .. math:: |
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| 67 | \rho_{{inter}_i} (r) = \begin{cases} |
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| 68 | B \exp\Big( \frac {\pm A(r - r_{\text{flat}_i})} {\Delta t_{ \text{inter}_i }} \Big) +C & \text{for} A \neq 0 \\ |
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| 69 | B \Big( \frac {(r - r_{\text{flat}_i})} {\Delta t_{ \text{inter}_i }} \Big) +C & \text{for} A = 0 \\ |
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| 70 | \end{cases} |
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| 71 | |
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| 72 | Power-Law |
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| 73 | |
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| 74 | .. math:: |
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| 75 | \rho_{{inter}_i} (r) = \begin{cases} |
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| 76 | \pm B \Big( \frac {(r - r_{\text{flat}_i} )} {\Delta t_{ \text{inter}_i }} \Big) ^A +C & \text{for} A \neq 0 \\ |
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| 77 | \rho_{\text{flat}_{i+1}} & \text{for} A = 0 \\ |
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| 78 | \end{cases} |
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| 79 | |
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| 80 | Erf: |
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| 81 | |
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| 82 | .. math:: |
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| 83 | \rho_{{inter}_i} (r) = \begin{cases} |
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| 84 | B \text{erf} \Big( \frac { A(r - r_{\text{flat}_i})} {\sqrt{2} \Delta t_{ \text{inter}_i }} \Big) +C & \text{for} A \neq 0 \\ |
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| 85 | B \Big( \frac {(r - r_{\text{flat}_i} )} {\Delta t_{ \text{inter}_i }} \Big) +C & \text{for} A = 0 \\ |
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| 86 | \end{cases} |
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| 87 | |
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| 88 | The functions are normalized so that they vary between 0 and 1, and they are constrained such that the SLD |
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| 89 | is continuous at the boundaries of the interface as well as each sub-layers. Thus B and C are determined. |
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| 90 | |
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| 91 | Once $\rho_{\text{inter}_i}$ is found at the boundary of the sub-layer of the interface, we can find its contribution |
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| 92 | to the form factor $P(q)$ |
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| 93 | |
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| 94 | .. math:: |
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| 95 | f_{\text{inter}_i} = 4 \pi \int_{\Delta t_{ \text{inter}_i } } \rho_{ \text{inter}_i } \frac{\sin(qr)} {qr} r^2 dr = |
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| 96 | 4 \pi \sum_{j=0}^{npts_{\text{inter}_i} -1 } |
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| 97 | \int_{r_j}^{r_{j+1}} \rho_{ \text{inter}_i } (r_j) \frac{\sin(qr)} {qr} r^2 dr \approx |
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| 98 | |
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| 99 | 4 \pi \sum_{j=0}^{npts_{\text{inter}_i} -1 } \Big[ |
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| 100 | 3 ( \rho_{ \text{inter}_i } ( r_{j+1} ) - \rho_{ \text{inter}_i } ( r_{j} ) V ( r_{ \text{sublayer}_j } ) |
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| 101 | \Big[ \frac {r_j^2 \beta_\text{out}^2 \sin(\beta_\text{out}) - (\beta_\text{out}^2-2) \cos(\beta_\text{out}) } |
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| 102 | {\beta_\text{out}^4 } \Big] |
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| 103 | |
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| 104 | - 3 ( \rho_{ \text{inter}_i } ( r_{j+1} ) - \rho_{ \text{inter}_i } ( r_{j} ) V ( r_{ \text{sublayer}_j-1 } ) |
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| 105 | \Big[ \frac {r_{j-1}^2 \sin(\beta_\text{in}) - (\beta_\text{in}^2-2) \cos(\beta_\text{in}) } |
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| 106 | {\beta_\text{in}^4 } \Big] |
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| 107 | |
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| 108 | + 3 \rho_{ \text{inter}_i } ( r_{j+1} ) V ( r_j ) |
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| 109 | \Big[ \frac {\sin(\beta_\text{out}) - \cos(\beta_\text{out}) } |
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| 110 | {\beta_\text{out}^4 } \Big] |
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| 111 | |
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| 112 | - 3 \rho_{ \text{inter}_i } ( r_{j} ) V ( r_j ) |
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| 113 | \Big[ \frac {\sin(\beta_\text{in}) - \cos(\beta_\text{in}) } |
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| 114 | {\beta_\text{in}^4 } \Big] |
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| 115 | \Big] |
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| 116 | |
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| 117 | where |
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| 118 | |
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| 119 | .. math:: |
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| 120 | V(a) = \frac {4\pi}{3}a^3 |
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| 121 | |
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| 122 | a_\text{in} ~ \frac{r_j}{r_{j+1} -r_j} \text{, } a_\text{out} ~ \frac{r_{j+1}}{r_{j+1} -r_j} |
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| 123 | |
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| 124 | \beta_\text{in} = qr_j \text{, } \beta_\text{out} = qr_{j+1} |
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| 125 | |
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| 126 | |
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| 127 | We assume the $\rho_{\text{inter}_i} (r)$ can be approximately linear within a sub-layer $j$ |
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| 128 | |
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| 129 | Finally form factor can be calculated by |
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| 130 | |
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| 131 | .. math:: |
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| 132 | |
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| 133 | P(q) = \frac{[f]^2} {V_\text{particle}} \text{where} V_\text{particle} = V(r_{\text{shell}_N}) |
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| 134 | |
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| 135 | For 2D data the scattering intensity is calculated in the same way as 1D, |
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| 136 | where the $q$ vector is defined as |
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| 137 | |
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| 138 | .. math:: |
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| 139 | |
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| 140 | q = \sqrt{q_x^2 + q_y^2} |
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| 141 | |
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| 142 | |
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| 143 | .. figure:: img/spherical_sld_1d.jpg |
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| 144 | |
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| 145 | 1D plot using the default values (w/400 data point). |
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| 146 | |
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| 147 | .. figure:: img/spherical_sld_default_profile.jpg |
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| 148 | |
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| 149 | SLD profile from the default values. |
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| 150 | |
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| 151 | .. note:: |
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| 152 | The outer most radius is used as the effective radius for S(Q) when $P(Q) * S(Q)$ is applied. |
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| 153 | |
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| 154 | References |
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| 155 | ---------- |
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| 156 | L A Feigin and D I Svergun, Structure Analysis by Small-Angle X-Ray and Neutron Scattering, Plenum Press, New York, (1987) |
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| 157 | |
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| 158 | """ |
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| 159 | |
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| 160 | from numpy import inf |
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| 161 | |
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| 162 | name = "spherical_sld" |
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| 163 | title = "Sperical SLD intensity calculation" |
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| 164 | description = """ |
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| 165 | I(q) = |
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| 166 | background = Incoherent background [1/cm] |
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| 167 | """ |
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| 168 | category = "sphere-based" |
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| 169 | |
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| 170 | # pylint: disable=bad-whitespace, line-too-long |
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| 171 | # ["name", "units", default, [lower, upper], "type", "description"], |
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| 172 | parameters = [["n_shells", "", 1, [0, 9], "", "number of shells"], |
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| 173 | ["thick_inter_0", "Ang", 50, [-inf, inf], "", "intern layer thickness"], |
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| 174 | ["func_inter_0", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 175 | ["core0_sld", "1e-6/Ang^2", 2.07, [-inf, inf], "", "sld function flat"], |
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| 176 | ["solvent_sld", "1e-6/Ang^2", 1.0, [-inf, inf], "", "sld function solvent"], |
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| 177 | ["flat1_sld", "1e-6/Ang^2", 4.06, [-inf, inf], "", "sld function flat"], |
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| 178 | ["flat2_sld", "1e-6/Ang^2", 3.5, [-inf, inf], "", "sld function flat"], |
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| 179 | ["flat3_sld", "1e-6/Ang^2", 4.06, [-inf, inf], "", "sld function flat"], |
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| 180 | ["flat4_sld", "1e-6/Ang^2", 3.5, [-inf, inf], "", "sld function flat"], |
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| 181 | ["flat5_sld", "1e-6/Ang^2", 4.06, [-inf, inf], "", "sld function flat"], |
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| 182 | ["flat6_sld", "1e-6/Ang^2", 3.5, [-inf, inf], "", "sld function flat"], |
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| 183 | ["flat7_sld", "1e-6/Ang^2", 4.06, [-inf, inf], "", "sld function flat"], |
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| 184 | ["flat8_sld", "1e-6/Ang^2", 3.5, [-inf, inf], "", "sld function flat"], |
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| 185 | ["flat9_sld", "1e-6/Ang^2", 4.06, [-inf, inf], "", "sld function flat"], |
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| 186 | ["flat10_sld", "1e-6/Ang^2", 3.5, [-inf, inf], "", "sld function flat"], |
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| 187 | ["thick_inter_1", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 188 | ["thick_inter_2", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 189 | ["thick_inter_3", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 190 | ["thick_inter_4", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 191 | ["thick_inter_5", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 192 | ["thick_inter_6", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 193 | ["thick_inter_7", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 194 | ["thick_inter_8", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 195 | ["thick_inter_9", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 196 | ["thick_inter_10", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 197 | ["thick_flat_1", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 198 | ["thick_flat_2", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 199 | ["thick_flat_3", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 200 | ["thick_flat_4", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 201 | ["thick_flat_5", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 202 | ["thick_flat_6", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 203 | ["thick_flat_7", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 204 | ["thick_flat_8", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 205 | ["thick_flat_9", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 206 | ["thick_flat_10", "Ang", 100.0, [0, inf], "", "flat layer_thickness"], |
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| 207 | ["func_inter_1", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 208 | ["func_inter_2", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 209 | ["func_inter_3", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 210 | ["func_inter_4", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 211 | ["func_inter_5", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 212 | ["func_inter_6", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 213 | ["func_inter_7", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 214 | ["func_inter_8", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 215 | ["func_inter_9", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 216 | ["func_inter_10", "", 0, [0, 4], "", "'Erf(|nu|*z)':0, 'RPower(z^|nu|)':1, 'LPower(z^|nu|)':2, 'RExp(-|nu|*z)':3, 'LExp(-|nu|*z)':4"], |
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| 217 | ["nu_inter_1", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 218 | ["nu_inter_2", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 219 | ["nu_inter_3", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 220 | ["nu_inter_4", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 221 | ["nu_inter_5", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 222 | ["nu_inter_6", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 223 | ["nu_inter_7", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 224 | ["nu_inter_8", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 225 | ["nu_inter_9", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 226 | ["nu_inter_10", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 227 | ["npts_inter", "", 35, [0, 35], "", "number of points in each sublayer Must be odd number"], |
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| 228 | ["nu_inter_0", "", 2.5, [-inf, inf], "", "steepness parameter"], |
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| 229 | ["rad_core_0", "Ang", 50.0, [0, inf], "", "intern layer thickness"], |
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| 230 | ] |
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| 231 | # pylint: enable=bad-whitespace, line-too-long |
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| 232 | #source = ["lib/librefl.c", "lib/sph_j1c.c", "spherical_sld.c"] |
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| 233 | |
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| 234 | Iq = """ |
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| 235 | return q; |
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| 236 | """ |
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| 237 | |
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| 238 | Iqxy = """ |
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| 239 | // never called since no orientation or magnetic parameters. |
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| 240 | //return -1.0; |
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| 241 | """ |
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| 242 | |
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| 243 | demo = dict( |
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| 244 | n_shells=4, |
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| 245 | scale=1.0, |
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| 246 | solvent_sld=1.0, |
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| 247 | background=0.0, |
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| 248 | npts_inter=35.0, |
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| 249 | func_inter_0=0, |
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| 250 | nu_inter_0=2.5, |
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| 251 | rad_core_0=50.0, |
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| 252 | core0_sld=2.07, |
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| 253 | thick_inter_0=50.0, |
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| 254 | func_inter_1=0, |
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| 255 | nu_inter_1=2.5, |
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| 256 | thick_inter_1=50.0, |
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| 257 | flat1_sld=4.0, |
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| 258 | thick_flat_1=100.0, |
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| 259 | func_inter_2=0, |
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| 260 | nu_inter_2=2.5, |
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| 261 | thick_inter_2=50.0, |
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| 262 | flat2_sld=3.5, |
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| 263 | thick_flat_2=100.0, |
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| 264 | func_inter_3=0, |
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| 265 | nu_inter_3=2.5, |
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| 266 | thick_inter_3=50.0, |
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| 267 | flat3_sld=4.0, |
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| 268 | thick_flat_3=100.0, |
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| 269 | func_inter_4=0, |
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| 270 | nu_inter_4=2.5, |
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| 271 | thick_inter_4=50.0, |
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| 272 | flat4_sld=3.5, |
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| 273 | thick_flat_4=100.0, |
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| 274 | func_inter_5=0, |
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| 275 | nu_inter_5=2.5, |
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| 276 | thick_inter_5=50.0, |
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| 277 | flat5_sld=4.0, |
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| 278 | thick_flat_5=100.0, |
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| 279 | func_inter_6=0, |
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| 280 | nu_inter_6=2.5, |
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| 281 | thick_inter_6=50.0, |
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| 282 | flat6_sld=3.5, |
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| 283 | thick_flat_6=100.0, |
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| 284 | func_inter_7=0, |
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| 285 | nu_inter_7=2.5, |
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| 286 | thick_inter_7=50.0, |
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| 287 | flat7_sld=4.0, |
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| 288 | thick_flat_7=100.0, |
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| 289 | func_inter_8=0, |
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| 290 | nu_inter_8=2.5, |
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| 291 | thick_inter_8=50.0, |
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| 292 | flat8_sld=3.5, |
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| 293 | thick_flat_8=100.0, |
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| 294 | func_inter_9=0, |
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| 295 | nu_inter_9=2.5, |
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| 296 | thick_inter_9=50.0, |
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| 297 | flat9_sld=4.0, |
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| 298 | thick_flat_9=100.0, |
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| 299 | func_inter_10=0, |
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| 300 | nu_inter_10=2.5, |
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| 301 | thick_inter_10=50.0, |
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| 302 | flat10_sld=3.5, |
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| 303 | thick_flat_10=100.0 |
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| 304 | ) |
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| 305 | |
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| 306 | oldname = "SphereSLDModel" |
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| 307 | oldpars = dict( |
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| 308 | n_shells="n_shells", |
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| 309 | scale="scale", |
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| 310 | npts_inter='npts_inter', |
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| 311 | solvent_sld='sld_solv', |
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| 312 | func_inter_0='func_inter0', |
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| 313 | nu_inter_0='nu_inter0', |
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| 314 | background='background', |
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| 315 | rad_core_0='rad_core0', |
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| 316 | core0_sld='sld_core0', |
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| 317 | thick_inter_0='thick_inter0', |
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| 318 | func_inter_1='func_inter1', |
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| 319 | nu_inter_1='nu_inter1', |
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| 320 | thick_inter_1='thick_inter1', |
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| 321 | flat1_sld='sld_flat1', |
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| 322 | thick_flat_1='thick_flat1', |
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| 323 | func_inter_2='func_inter2', |
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| 324 | nu_inter_2='nu_inter2', |
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| 325 | thick_inter_2='thick_inter2', |
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| 326 | flat2_sld='sld_flat2', |
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| 327 | thick_flat_2='thick_flat2', |
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| 328 | func_inter_3='func_inter3', |
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| 329 | nu_inter_3='nu_inter3', |
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| 330 | thick_inter_3='thick_inter3', |
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| 331 | flat3_sld='sld_flat3', |
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| 332 | thick_flat_3='thick_flat3', |
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| 333 | func_inter_4='func_inter4', |
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| 334 | nu_inter_4='nu_inter4', |
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| 335 | thick_inter_4='thick_inter4', |
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| 336 | flat4_sld='sld_flat4', |
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| 337 | thick_flat_4='thick_flat4', |
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| 338 | func_inter_5='func_inter5', |
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| 339 | nu_inter_5='nu_inter5', |
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| 340 | thick_inter_5='thick_inter5', |
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| 341 | flat5_sld='sld_flat5', |
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| 342 | thick_flat_5='thick_flat5', |
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| 343 | func_inter_6='func_inter6', |
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| 344 | nu_inter_6='nu_inter6', |
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| 345 | thick_inter_6='thick_inter6', |
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| 346 | flat6_sld='sld_flat6', |
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| 347 | thick_flat_6='thick_flat6', |
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| 348 | func_inter_7='func_inter7', |
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| 349 | nu_inter_7='nu_inter7', |
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| 350 | thick_inter_7='thick_inter7', |
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| 351 | flat7_sld='sld_flat7', |
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| 352 | thick_flat_7='thick_flat7', |
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| 353 | func_inter_8='func_inter8', |
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| 354 | nu_inter_8='nu_inter8', |
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| 355 | thick_inter_8='thick_inter8', |
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| 356 | flat8_sld='sld_flat8', |
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| 357 | thick_flat_8='thick_flat8', |
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| 358 | func_inter_9='func_inter9', |
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| 359 | nu_inter_9='nu_inter9', |
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| 360 | thick_inter_9='thick_inter9', |
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| 361 | flat9_sld='sld_flat9', |
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| 362 | thick_flat_9='thick_flat9', |
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| 363 | func_inter_10='func_inter10', |
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| 364 | nu_inter_10='nu_inter10', |
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| 365 | thick_inter_10='thick_inter10', |
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| 366 | flat10_sld='sld_flat10', |
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| 367 | thick_flat_10='thick_flat10') |
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| 368 | |
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| 369 | #TODO: Not working yet |
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| 370 | tests = [ |
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| 371 | # Accuracy tests based on content in test/utest_extra_models.py |
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| 372 | [{'npts_iter':35, |
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| 373 | 'sld_solv':1, |
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| 374 | 'func_inter_1':0.0, |
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| 375 | 'nu_inter':2.5, |
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| 376 | 'thick_inter_1':50, |
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| 377 | 'sld_flat_1':4, |
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| 378 | 'thick_flat_1':100, |
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| 379 | 'func_inter_0':0.0, |
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| 380 | 'nu_inter_0':2.5, |
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| 381 | 'rad_core_0':50.0, |
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| 382 | 'sld_core_0':2.07, |
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| 383 | 'thick_inter_0':50, |
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| 384 | 'background': 0.0, |
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| 385 | }, 0.001, 1000], |
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| 386 | ] |
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