Line data Source code
1 : /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 : Copyright (c) 2016-2017 The VES code team 3 : (see the PEOPLE-VES file at the root of this folder for a list of names) 4 : 5 : See http://www.ves-code.org for more information. 6 : 7 : This file is part of VES code module. 8 : 9 : The VES code module is free software: you can redistribute it and/or modify 10 : it under the terms of the GNU Lesser General Public License as published by 11 : the Free Software Foundation, either version 3 of the License, or 12 : (at your option) any later version. 13 : 14 : The VES code module is distributed in the hope that it will be useful, 15 : but WITHOUT ANY WARRANTY; without even the implied warranty of 16 : MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 17 : GNU Lesser General Public License for more details. 18 : 19 : You should have received a copy of the GNU Lesser General Public License 20 : along with the VES code module. If not, see <http://www.gnu.org/licenses/>. 21 : +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ */ 22 : 23 : #include "TargetDistribution.h" 24 : #include "GridIntegrationWeights.h" 25 : 26 : #include "core/ActionRegister.h" 27 : #include "tools/Grid.h" 28 : 29 : #include "GridProjWeights.h" 30 : 31 : 32 : namespace PLMD { 33 : namespace ves { 34 : 35 : //+PLUMEDOC VES_TARGETDIST TD_MARGINAL_WELLTEMPERED 36 : /* 37 : One-dimensional marginal well-tempered target distribution (dynamic). 38 : 39 : One-dimensional marginal well-tempered distribution \cite Barducci:2008 40 : given by 41 : \f[ 42 : p(s_{k}) = 43 : \frac{e^{-(\beta/\gamma) F(s_{k})}} 44 : {\int ds_{k}\, e^{-(\beta/\gamma) F(s_{k})}} = 45 : \frac{[P_{0}(s_{k})]^{1/\gamma}} 46 : {\int ds_{k}\, [P_{0}(s_{k})]^{1/\gamma}} 47 : \f] 48 : where \f$\gamma\f$ is a so-called bias factor and \f$P_{0}(\mathbf{s})\f$ is the 49 : unbiased canonical distribution of the CVs. This target distribution thus 50 : correponds to a biased ensemble where, as compared to the unbiased one, 51 : the probability peaks have been broaden and the fluctations of the CVs are 52 : enhanced. 53 : The value of the bias factor \f$\gamma\f$ determines by how much the fluctations 54 : are enhanced. 55 : 56 : 57 : \par Examples 58 : 59 : */ 60 : //+ENDPLUMEDOC 61 : 62 : class TD_MarginalWellTempered: public TargetDistribution { 63 : private: 64 : double bias_factor_; 65 : std::vector<std::string> proj_args; 66 : public: 67 : static void registerKeywords(Keywords&); 68 : explicit TD_MarginalWellTempered(const ActionOptions& ao); 69 : void updateGrid(); 70 : double getValue(const std::vector<double>&) const; 71 2 : ~TD_MarginalWellTempered() {} 72 : }; 73 : 74 : 75 7836 : PLUMED_REGISTER_ACTION(TD_MarginalWellTempered,"TD_MARGINAL_WELLTEMPERED") 76 : 77 : 78 3 : void TD_MarginalWellTempered::registerKeywords(Keywords& keys) { 79 3 : TargetDistribution::registerKeywords(keys); 80 12 : keys.add("compulsory","BIASFACTOR","The bias factor to be used for the well tempered distribution"); 81 12 : keys.add("compulsory","MARGINAL_ARG","The argument to be used for the marginal."); 82 3 : } 83 : 84 : 85 2 : TD_MarginalWellTempered::TD_MarginalWellTempered(const ActionOptions& ao): 86 : PLUMED_VES_TARGETDISTRIBUTION_INIT(ao), 87 : bias_factor_(0.0), 88 2 : proj_args(0) 89 : { 90 4 : parse("BIASFACTOR",bias_factor_); 91 2 : if(bias_factor_<=1.0) { 92 0 : plumed_merror(getName()+" target distribution: the value of the bias factor doesn't make sense, it should be larger than 1.0"); 93 : } 94 4 : parseVector("MARGINAL_ARG",proj_args); 95 2 : if(proj_args.size()!=1) { 96 0 : plumed_merror(getName()+" target distribution: currently only supports one marginal argument in MARGINAL_ARG"); 97 : } 98 : setDynamic(); 99 : setFesGridNeeded(); 100 : doNotAllowBiasCutoff(); 101 2 : checkRead(); 102 2 : } 103 : 104 : 105 0 : double TD_MarginalWellTempered::getValue(const std::vector<double>& argument) const { 106 0 : plumed_merror("getValue not implemented for TD_MarginalWellTempered"); 107 : return 0.0; 108 : } 109 : 110 : 111 22 : void TD_MarginalWellTempered::updateGrid() { 112 22 : double beta_prime = getBeta()/bias_factor_; 113 22 : plumed_massert(getFesGridPntr()!=NULL,"the FES grid has to be linked to use TD_MarginalWellTempered!"); 114 : // 115 22 : FesWeight* Fw = new FesWeight(getBeta()); 116 22 : Grid fes_proj = getFesGridPntr()->project(proj_args,Fw); 117 22 : delete Fw; 118 44 : plumed_massert(fes_proj.getSize()==targetDistGrid().getSize(),"problem with FES projection - inconsistent grids"); 119 22 : plumed_massert(fes_proj.getDimension()==1,"problem with FES projection - projected grid is not one-dimensional"); 120 : // 121 88 : std::vector<double> integration_weights = GridIntegrationWeights::getIntegrationWeights(getTargetDistGridPntr()); 122 : double norm = 0.0; 123 4444 : for(Grid::index_t l=0; l<targetDistGrid().getSize(); l++) { 124 2200 : double value = beta_prime * fes_proj.getValue(l); 125 2200 : logTargetDistGrid().setValue(l,value); 126 2200 : value = exp(-value); 127 2200 : norm += integration_weights[l]*value; 128 2200 : targetDistGrid().setValue(l,value); 129 : } 130 44 : targetDistGrid().scaleAllValuesAndDerivatives(1.0/norm); 131 44 : logTargetDistGrid().setMinToZero(); 132 22 : } 133 : 134 : } 135 5874 : }