/usr/include/clipper/contrib/sfweight.h is in libclipper-dev 2.1.20130601-2.1ubuntu1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 | /*! \file sfweight.h
Header file for structure factor weighting object
*/
//C Copyright (C) 2000-2006 Kevin Cowtan and University of York
//L
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#ifndef CLIPPER_SFWEIGHT
#define CLIPPER_SFWEIGHT
#include "function_object_bases.h"
#include "../core/resol_basisfn.h"
namespace clipper {
//! Structure factor weighting by sigmaa-related spline method.
/*! Perform structure factor weighting to obtain likelihood
weights for structure factors.
This implementation uses a single list of reflections for both
scaling and sigmaa, thus the only relevent usage flags are
NONE/BOTH.
The number of spline parameters or the number of reflections per
parameter may be specified. If either is zero, the other takes
priority. If both are non-zero, a compromise value is used.
\ingroup g_funcobj */
template<class T> class SFweight_spline : public SFweight_base<T> {
public:
//! constructor
SFweight_spline( const int n_reflns = 1000, const int n_params = 20, const int n_phases = 24 ) { init( n_reflns, n_params, n_phases ); }
//! constructor: shorthand for constructor+operator
SFweight_spline( HKL_data<datatypes::F_phi<T> >& fb, HKL_data<datatypes::F_phi<T> >& fd, HKL_data<datatypes::Phi_fom<T> >& phiw, const HKL_data<datatypes::F_sigF<T> >& fo, const HKL_data<datatypes::F_phi<T> >& fc, const HKL_data<datatypes::Flag>& usage, const int n_reflns = 1000, const int n_params = 20 );
//! initialise: from parameters
void init( const int n_reflns = 1000, const int n_params = 20, const int n_phases = 24 );
// Likelihood weighting and map coefficient computation
bool operator() ( HKL_data<datatypes::F_phi<T> >& fb, HKL_data<datatypes::F_phi<T> >& fd, HKL_data<datatypes::Phi_fom<T> >& phiw, const HKL_data<datatypes::F_sigF<T> >& fo0, const HKL_data<datatypes::F_phi<T> >& fc0, const HKL_data<datatypes::Flag>& usage );
// Likelihood weighting and map coefficient computation (MLHL)
bool operator() ( HKL_data<datatypes::F_phi<T> >& fb, HKL_data<datatypes::F_phi<T> >& fd, HKL_data<datatypes::Phi_fom<T> >& phiw, HKL_data<datatypes::ABCD<T> >& hl, const HKL_data<datatypes::F_sigF<T> >& fo0, const HKL_data<datatypes::ABCD<T> >& hl0, const HKL_data<datatypes::F_phi<T> >& fc0, const HKL_data<datatypes::Flag>& usage );
template<class F> bool evaluate( HKL_data<datatypes::F_phi<T> >& fb, HKL_data<datatypes::F_phi<T> >& fd, HKL_data<datatypes::Phi_fom<T> >& phiw, HKL_data<datatypes::ABCD<T> >& hl, const HKL_data<datatypes::F_sigF<T> >& fo0, const HKL_data<datatypes::ABCD<T> >& hl0, const HKL_data<datatypes::F_phi<T> >& fc0, const HKL_data<datatypes::Flag>& usage, F tgt );
template<class F> bool reevaluate( HKL_data<datatypes::F_phi<T> >& fb, HKL_data<datatypes::F_phi<T> >& fd, HKL_data<datatypes::Phi_fom<T> >& phiw, HKL_data<datatypes::ABCD<T> >& hl, const HKL_data<datatypes::F_sigF<T> >& fo0, const HKL_data<datatypes::ABCD<T> >& hl0, const HKL_data<datatypes::F_phi<T> >& fc0, const HKL_data<datatypes::Flag>& usage, F tgt );
const std::vector<ftype>& params_scale() { return param_s; }
const std::vector<ftype>& params_error() { return param_w; }
const double& log_likelihood_work() { return llw; }
const double& log_likelihood_free() { return llf; }
void debug() const;
struct TargetResult { ftype r, ds, dw, dss, dww, dsw; };
TargetResult targetfn( const HKL_class cls, const datatypes::F_sigF<T>& fo0, const datatypes::F_phi<T>& fc0, const ftype& s, const ftype& w ) const;
TargetResult targethl( const HKL_class cls, const datatypes::F_sigF<T>& fo0, const datatypes::ABCD<T>& hl0, const datatypes::F_phi<T>& fc0, const ftype& s, const ftype& w ) const;
private:
struct HLterms { ftype cosa, sina, cos2a, sin2a; };
class TargetFo {
public:
TargetResult operator() ( const HKL_class cls, const datatypes::F_sigF<T>& fo0, const datatypes::ABCD<T>& hl0, const datatypes::F_phi<T>& fc0, const ftype& s, const ftype& w, const std::vector<HLterms>& hlterms );
datatypes::ABCD<T> abcd;
datatypes::Phi_fom<T> phiw;
};
class TargetHL {
public:
TargetResult operator() ( const HKL_class cls, const datatypes::F_sigF<T>& fo0, const datatypes::ABCD<T>& hl0, const datatypes::F_phi<T>& fc0, const ftype& s, const ftype& w, const std::vector<HLterms>& hlterms );
datatypes::ABCD<T> abcd;
datatypes::Phi_fom<T> phiw;
};
int num_params( const HKL_data<datatypes::Flag_bool>& flag ) const;
int nparams, nreflns;
std::vector<ftype> param_s, param_w;
std::vector<T> scale_fo, scale_fc, value_s, value_w;
std::vector<HLterms> hlterms;
double llw, llf;
};
} // namespace clipper
#endif
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