/* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Copyright (c) 2018,2019 The plumed team (see the PEOPLE file at the root of the distribution for a list of names) See http://www.plumed.org for more information. This file is part of plumed, version 2. plumed is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. plumed is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with plumed. If not, see <http://www.gnu.org/licenses/>. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ */ #include "core/ActionShortcut.h" #include "core/ActionRegister.h" namespace PLMD { namespace analysis { //+PLUMEDOC REWEIGHTING WHAM_HISTOGRAM /* This can be used to output the a histogram using the weighted histogram technique This shortcut action allows you to calculate a histogram using the weighted histogram analysis technique. For more detail on how this the weights for configurations are computed see \ref REWEIGHT_WHAM \par Examples The following input can be used to analyze the output from a series of umbrella sampling calculations. The trajectory from each of the simulations run with the different biases should be concatenated into a single trajectory before running the following analysis script on the concatenated trajectory using PLUMED driver. The umbrella sampling simulations that will be analyzed using the script below applied a harmonic restraint that restrained the torsional angle involving atoms 5, 7, 9 and 15 to particular values. The script below calculates the reweighting weights for each of the trajectories and then applies the binless WHAM algorithm to determine a weight for each configuration in the concatenated trajectory. A histogram is then constructed from the configurations visited and their weights. This histogram is then converted into a free energy surface and output to a file called fes.dat \plumedfile phi: TORSION ATOMS=5,7,9,15 psi: TORSION ATOMS=7,9,15,17 rp: RESTRAINT ARG=phi KAPPA=50.0 ... AT=@replicas:{ -3.00000000000000000000 -2.22580645161290322584 -1.45161290322580645168 -.67741935483870967752 .09677419354838709664 .87096774193548387080 1.64516129032258064496 2.41935483870967741912 } ... hh: WHAM_HISTOGRAM ARG=phi BIAS=rp.bias TEMP=300 GRID_MIN=-pi GRID_MAX=pi GRID_BIN=50 fes: CONVERT_TO_FES GRID=hh TEMP=300 DUMPGRID GRID=fes FILE=fes.dat \endplumedfile The script above must be run with multiple replicas using the following command: \verbatim mpirun -np 6 plumed driver --mf_xtc alltraj.xtc --multi 6 \endverbatim */ //+ENDPLUMEDOC class WhamHistogram : public ActionShortcut { public: static void registerKeywords( Keywords& keys ); explicit WhamHistogram( const ActionOptions& ); }; PLUMED_REGISTER_ACTION(WhamHistogram,"WHAM_HISTOGRAM") void WhamHistogram::registerKeywords( Keywords& keys ) { ActionShortcut::registerKeywords( keys ); keys.add("compulsory","ARG","the arguments that you would like to make the histogram for"); keys.add("compulsory","BIAS","*.bias","the value of the biases to use when performing WHAM"); keys.add("compulsory","TEMP","the temperature at which the simulation was run"); keys.add("compulsory","STRIDE","1","the frequency with which the data should be stored to perform WHAM"); keys.add("compulsory","GRID_MIN","the minimum to use for the grid"); keys.add("compulsory","GRID_MAX","the maximum to use for the grid"); keys.add("compulsory","GRID_BIN","the number of bins to use for the grid"); keys.add("optional","BANDWIDTH","the bandwidth for kernel density estimation"); } WhamHistogram::WhamHistogram( const ActionOptions& ao ) : Action(ao), ActionShortcut(ao) { // Input for REWEIGHT_WHAM std::string rew_line = getShortcutLabel() + "_weights: REWEIGHT_WHAM"; std::string bias; parse("BIAS",bias); rew_line += " ARG=" + bias; std::string temp; parse("TEMP",temp); rew_line += " TEMP=" + temp; readInputLine( rew_line ); // Input for COLLECT_FRAMES std::string col_line = getShortcutLabel() + "_collect: COLLECT_FRAMES LOGWEIGHTS=" + getShortcutLabel() + "_weights"; std::string stride; parse("STRIDE",stride); col_line += " STRIDE=" + stride; std::string arg; parse("ARG",arg); col_line += " ARG=" + arg; readInputLine( col_line ); // Input for HISTOGRAM std::string histo_line = getShortcutLabel() + ": HISTOGRAM ARG=" + getShortcutLabel() + "_collect.*"; std::string min; parse("GRID_MIN",min); histo_line += " GRID_MIN=" + min; std::string max; parse("GRID_MAX",max); histo_line += " GRID_MAX=" + max; std::string bin; parse("GRID_BIN",bin); histo_line += " GRID_BIN=" + bin; std::string bw=""; parse("BANDWIDTH",bw); if( bw!="" ) histo_line += " BANDWIDTH=" + bw; else histo_line += " KERNEL=DISCRETE"; readInputLine( histo_line ); } } }