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 "lorentzian.h" |
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20 | |
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21 | Lorentzian :: Lorentzian() { |
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22 | scale = Parameter(1.0, true); |
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23 | gamma = 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 scattering function |
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29 | * @param q: q-value |
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30 | * @return: function value |
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31 | */ |
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32 | double Lorentzian :: operator()(double q) { |
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33 | double delta2 = pow( (q-center()), 2); |
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34 | return scale() / acos(-1.0) * 0.5*gamma() / |
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35 | (delta2 + 0.25*gamma()*gamma()); |
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36 | } |
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37 | |
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38 | /** |
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39 | * Function to evaluate 2D scattering function |
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40 | * @param q_x: value of Q along x |
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41 | * @param q_y: value of Q along y |
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42 | * @return: function value |
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43 | */ |
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44 | double Lorentzian :: operator()(double qx, double qy) { |
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45 | return (*this).operator()(qx) * (*this).operator()(qy); |
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46 | } |
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47 | |
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48 | /** |
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49 | * Function to evaluate 2D scattering function |
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50 | * @param q: q-value |
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51 | * @param phi: angle phi |
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52 | * @return: function value |
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53 | */ |
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54 | double Lorentzian :: evaluate_rphi(double q, double phi) { |
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55 | double qx = q*cos(phi); |
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56 | double qy = q*sin(phi); |
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57 | return (*this).operator()(qx, qy); |
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58 | } |
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59 | /** |
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60 | * Function to calculate effective radius |
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61 | * @return: effective radius value |
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62 | */ |
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63 | double Lorentzian :: calculate_ER() { |
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64 | //NOT implemented yet!!! |
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65 | return 0.0; |
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66 | } |
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67 | double Lorentzian :: calculate_VR() { |
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68 | return 1.0; |
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69 | } |
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