Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/dopplercorr.m @ 5:5a49956df427 database-connection-manager

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LTPDAPreferences panel for new LTPDADatabaseConnectionManager
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % Dopplercorr coorects data for Doppler shift
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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4 % DESCRIPTION: dopplercorr coorects time series data for Doppler shift.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % When the optical path difference (OPD) in the LTP interferometer
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % is scanned fast, a doppler shift adds up to the data.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % The Doppler shift depends on the velocity with wich the OPD is scanned.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % This function calculates the Doppler shift% and
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % subtracts it from the data to correct the 'Doppler error'.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % In the variable 'delta' the Doppler shift is stored and from
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % their the 'Doppler error' stored in 'g' is calculated and finally
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12 % subtracted from the input data.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % CALL: b = dopplercorr(a,pl)
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14 %
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15 % INPUTS: a - analysis object(s) (time series)
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16 % pl - parameter list(s) - bin
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17 %
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18 % OUTPUTS: b - analysis object (time series)
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19 %
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20 %
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21 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'dopplercorr')">Parameters Description</a>
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22 %
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23 % VERSION: $Id: dopplercorr.m,v 1.19 2011/04/08 08:56:16 hewitson Exp $
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24 %
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25 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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26
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27 function varargout = dopplercorr(varargin)
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28
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29 %%% Check if this is a call for parameters
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30 if utils.helper.isinfocall(varargin{:})
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31 varargout{1} = getInfo(varargin{3});
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32 return
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33 end
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34
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35 %%% Collect input variable names
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36 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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38
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39 %%% Collect all AOs
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40 [as, ao_invars, rest] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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41 [pli, pl_invars, rest] = utils.helper.collect_objects(rest, 'plist', in_names);
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42
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43 %%% Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 %%% REMARK: If you create a new AO (call the constructor) then
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 %%% it is not necessay to copy the input-AOs !!!!!!!!!!!!!!!!!!!!!!!!!
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 bs = copy(as, nargout);
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47
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48 %%% Combine plists
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49 pl = parse(pli, getDefaultPlist);
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50 k = find(pl,'bin');
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51 if isempty(k)
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52 error('### Please specify the bin parameter ''bin''');
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53 end
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54 %%% go through analysis objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 for kk = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 %%%%%%%%%% some calculations %%%%%%%%%%
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57 ydata = bs(kk).data.getY;
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58 leng = length(ydata);
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59 delta = zeros(leng,1);
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60 delta(1) = (ydata(2)-ydata(1))/(2*pi);
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61 delta(leng) = (ydata(leng)-ydata(leng-1))/(2*pi);
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62
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63 for i=2:(leng-1)
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64 delta(i) = (ydata(i+1)-ydata(i-1))/(4*pi);
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65 end
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66
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67 g = -1./(2*k).*delta.*sin(2.*ydata)...
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68 + 1./(4*k*k).*delta.^2.*sin(2.*ydata) ...
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69 + 1./(8*k*k).*delta.^2.*sin(4.*ydata);
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70 ydata_new = ydata + g;
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71
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72 %%create new ao
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73 bs(kk).data.setY(ydata_new);
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74
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75 %% Set Name
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76 bs(kk).name = 'new name';
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77
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78 %%% Add History
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79 bs(kk).addHistory(getInfo('None'), pl, ao_invars(kk), bs(kk).hist);
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80
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81 end
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82
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83 % Clear the errors since they don't make sense anymore
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 clearErrors(bs);
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85
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86 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 if nargout == numel(bs)
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88 % List of outputs
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89 for ii = 1:numel(bs)
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90 varargout{ii} = bs(ii);
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91 end
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92 else
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93 % Single output
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94 varargout{1} = bs;
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95 end
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96
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97 end
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98
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99 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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100 % Local Functions %
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101 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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102
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103 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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104 %
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105 % FUNCTION: getInfo
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106 %
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107 % DESCRIPTION: Get Info Object
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108 %
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109 % HISTORY: 11-07-07 M Hewitson
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110 % Creation.
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111 %
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112 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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113
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114 function ii = getInfo(varargin)
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115 if nargin == 1 && strcmpi(varargin{1}, 'None')
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116 sets = {};
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117 pl = [];
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118 else
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119 sets = {'Default'};
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120 pl = getDefaultPlist;
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121 end
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122 % Build info object
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123 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: dopplercorr.m,v 1.19 2011/04/08 08:56:16 hewitson Exp $', sets, pl);
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124 end
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125
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126 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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127 %
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128 % FUNCTION: getDefaultPlist
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129 %
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130 % DESCRIPTION: Get Default Plist
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131 %
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132 % HISTORY: 11-07-07 M Hewitson
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133 % Creation.
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134 %
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135 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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136
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137 function plout = getDefaultPlist()
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138 persistent pl;
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139 if exist('pl', 'var')==0 || isempty(pl)
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140 pl = buildplist();
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141 end
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142 plout = pl;
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143 end
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144
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145 function pl = buildplist()
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146 pl = plist();
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147 p = param('bin', 50, 'grid size for the doppler correction');
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148 pl.append(p);
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149 end
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150
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151