1 | /** |
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2 | This software was developed by the University of Tennessee as part of the |
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3 | Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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4 | project funded by the US National Science Foundation. |
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5 | |
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6 | If you use DANSE applications to do scientific research that leads to |
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7 | publication, we ask that you acknowledge the use of the software with the |
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8 | following sentence: |
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9 | |
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10 | "This work benefited from DANSE software developed under NSF award DMR-0520547." |
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11 | |
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12 | copyright 2008, University of Tennessee |
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13 | */ |
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14 | |
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15 | #include <math.h> |
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16 | #include "parameters.hh" |
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17 | #include <stdio.h> |
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18 | using namespace std; |
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19 | #include "logNormal.h" |
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20 | |
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21 | LogNormal :: LogNormal() { |
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22 | scale = Parameter(1.0, true); |
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23 | sigma = Parameter(1.0, true); |
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24 | center = Parameter(0.0, true); |
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25 | } |
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26 | |
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27 | /** |
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28 | * Function to evaluate 1D Log normal function. |
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29 | * The function is normalized to the 'scale' parameter. |
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30 | * |
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31 | * f(x)=scale * 1/(sigma*math.sqrt(2pi))e^(-1/2*((math.log(x)-mu)/sigma)^2) |
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32 | * |
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33 | * @param q: q-value |
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34 | * @return: function value |
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35 | */ |
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36 | double LogNormal :: operator()(double q) { |
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37 | double sigma2 = pow(sigma(), 2); |
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38 | return scale() / (q*sigma2) * exp( -pow((log(q) - center()), 2) / (2*sigma2)); |
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39 | } |
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40 | |
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41 | /** |
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42 | * Function to evaluate 2D LogNormal function |
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43 | * The function is normalized to the 'scale' parameter. |
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44 | * |
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45 | * f(x,y) = LogNormal(x) * LogNormal(y) |
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46 | * |
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47 | * where both LogNormals share the same parameters. |
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48 | * @param q_x: value of Q along x |
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49 | * @param q_y: value of Q along y |
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50 | * @return: function value |
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51 | */ |
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52 | double LogNormal :: operator()(double qx, double qy) { |
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53 | return (*this).operator()(qx) * (*this).operator()(qy); |
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54 | } |
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55 | |
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56 | /** |
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57 | * Function to evaluate 2D LogNormal function |
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58 | * The function is normalized to the 'scale' parameter. |
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59 | * |
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60 | * f(x,y) = LogNormal(x) * LogNormal(y) |
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61 | * |
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62 | * where both LogNormals share the same parameters. |
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63 | * @param q: q-value |
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64 | * @param phi: angle phi |
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65 | * @return: function value |
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66 | */ |
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67 | double LogNormal :: evaluate_rphi(double q, double phi) { |
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68 | double qx = q*cos(phi); |
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69 | double qy = q*sin(phi); |
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70 | return (*this).operator()(qx, qy); |
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71 | } |
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72 | /** |
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73 | * Function to calculate effective radius |
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74 | * @return: effective radius value |
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75 | */ |
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76 | double LogNormal :: calculate_ER() { |
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77 | //NOT implemented yet!!! |
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78 | return 0.0; |
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79 | } |
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80 | double LogNormal :: calculate_VR() { |
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81 | return 1.0; |
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82 | } |
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