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388 lines
17 KiB
388 lines
17 KiB
//Renata Kopecna
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#include "mcfit.hh"
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#include <event.hh>
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#include <fitter.hh>
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#include <bu2kstarmumu_plotter.hh>
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#include <folder.hh>
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#include <paths.hh>
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#include <design.hh>
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#include <helpers.hh>
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#include <spdlog.h>
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int mcfit_4D(fcnc::options opts, bool fitReference, bool fitPHSP, basic_params params){
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//--------------------------------
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// Sanity checks
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//--------------------------------
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if (params.Run != 1 && params.Run != 2 && params.Run != 12){
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spdlog::error("Wrong run selected! Please use either 1, 2 or 12 for fititng the MC!");
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return 1;
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}
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//--------------------------------
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// Set constants
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//--------------------------------
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if(fitReference) spdlog::info("[MCFIT]\tFit reference channel: J/psi K*+"); //reference channel only
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else spdlog::info("[MCFIT]\tFit signal MC");//signal MC only
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const bool Blind = false; //False as it is MC, HAS TO BE TRUE FOR DATA
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const bool UseBinnedFit = true; //Use bins in q2, if false, nBins is forced to be one
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const bool SimultaneousFit = true; //Simultanously fit all PDFs
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const bool fixBMass = false; //Fix B mass to PDG value
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const bool plotPulls = true; //Do you wanna pull plots with or without pulls?
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int prescale = 1; //The fraction of events to be kept
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//Eg if prescale = 3, only a third of events will be kept
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//This is not EXACTLY a third though, but a third from all the possible events,
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//as this is taken from the loaded events, not from the selected events
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//In an extreme case when eg prescale is 2, only MagDown is to be fitted and every second event
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//is MagDown, all events would be still kept.
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//To use all the events, set it to 1
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//Scales for the fit parameters (meaning fit-ranges)
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double PprimeRangeScale = 10.0;
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double angleRange = +1.0;
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if (params.usePprime) angleRange *= PprimeRangeScale;
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double angleStepSize = 0.01;
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if (!UseBinnedFit){
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spdlog::info("Running an unbinned fit");
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opts.TheQ2binsmin = get_TheQ2binsmin(1,fitReference);
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opts.TheQ2binsmax = get_TheQ2binsmax(1,fitReference);
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}
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const unsigned int nBins = opts.get_nQ2bins(); //unsigned because vector.size is unsigned
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spdlog::debug("Using {0:d} q2 bins.", nBins);
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//--------------------------------
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// Set all options
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//--------------------------------
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opts.use_mkpi = false; //5D fit
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opts.fit_mkpi = false; //4D+1 fit
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opts.full_angular = (params.folding ==-1);
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opts.folding = params.folding;
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//TODO: this needs to be fixed, it is written like for idiots
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if(opts.fit_mkpi || opts.use_mkpi){
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opts.only_Bmass = false;
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opts.only_mass2DFit = fitReference;
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}
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bool dontFitAngles = fitReference;
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opts.swave = false;
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opts.multiply_eff = true; //MC weights need to be taken into account
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opts.weighted_fit = true; //Needed to plot the weights properly
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opts.use_event_norm = false; //Used for convoluting the acceptance into pdf
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//Set the plot folder
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opts.plot_folder = get_MCfitPlot_path(fitReference, fitPHSP);
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//Set the available PDFs: this depends on the selected Run for now, so if only one is selected, run over one pdf, if both, use two
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std::vector<UInt_t> pdf_idx;
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if (params.Run == 1 || params.Run == 12) pdf_idx.push_back(1);
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if (params.Run == 2 || params.Run == 12) pdf_idx.push_back(2);
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//--------------------------------
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// Load data
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//--------------------------------
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spdlog::info("[MCFIT]\tLoading data...");
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std::vector<std::vector<fcnc::event>>events;
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if (opts.run == 1 || opts.run == 12){
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events.push_back(fcnc::load_events(get_theFCNCpath(MC_dataset(fitReference,fitPHSP),1), "Events", -1));
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}
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if (opts.run == 2 || opts.run == 12){
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events.push_back(fcnc::load_events(get_theFCNCpath(MC_dataset(fitReference,fitPHSP),2), "Events", -1));
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}
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//check that the number of pdfs is the same as number of event vectors
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if (pdf_idx.size() != events.size()){
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spdlog::error("Something went very wrong when loading the events and setting the pdfs.");
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spdlog::error("The number of PDFs!= number of event vectors: {0:d} vs {1:d}",pdf_idx.size(), events.size());
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return 5;
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}
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//we are good to go, now; how many individual pdfs are used?
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const UInt_t nPDFs = pdf_idx.size();
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UInt_t N_tot = 0;
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for (UInt_t n = 0; n < nPDFs; n++){
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spdlog::debug("Event vector {0:d}:\t"+(Blind?"Larger 1 ":std::to_string(events.at(n).size())),n);
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if (events.at(n).size()==0){
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spdlog::error("Empty event vector!");
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return 404;
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}
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N_tot += events.at(n).size();
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}
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spdlog::info("Total number of used events:\t{0:d}", N_tot);
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//Initialize all needed things for the fit
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//current fitter, plotter, parameteres and pdfs:
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fcnc::fitter f(&opts);
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fcnc::folder fldr(&opts);
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fcnc::options theOptions[nPDFs];
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fcnc::bu2kstarmumu_plotter * thePlotter[nPDFs];
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std::vector<fcnc::parameters*> theParams [nBins];
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std::vector<fcnc::pdf*> theProbs [nBins];
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std::vector< std::vector<fcnc::event>*> selection[nBins];
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//Initialize common parameters //Includes sWave if opts.swave is on
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std::vector<std::string> common_params = param_string(opts, true);
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if(SimultaneousFit) f.set_common_parameters(common_params);
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spdlog::info("Shared parameters: " + convert_vector_to_string(common_params));
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//--------------------------------
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// Read events
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//--------------------------------
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//Loop over PDFs and initialize parameters
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for(unsigned n = 0; n < nPDFs; n++){
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opts.run = pdf_idx.at(n); //Set proper run to options
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spdlog::debug("Run {0:d}", opts.run);
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opts.name = get_MCfit_label(fitReference, fitPHSP, nBins, -1, SimultaneousFit, params, opts.run, opts.only_angles, dontFitAngles);
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opts.update_angle_ranges(); //Set angles in options back to defaults
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opts.update_efficiencies = true; //This ensures the acceptance weights to be taken into account.
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//It needs to be set properly as the MC needs to take into account the MC-data weights and hence the weight multiplication is on. However, the weights are recalculated later on (see fitter::fit and fitter::init), so they need to be turned off after loading the efficiencies.
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//Set the label to MC
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opts.plot_label = "LHCb MC";
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//Loop over bins now
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for(unsigned int b = 0; b < nBins; b++){
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opts.q2_min = opts.TheQ2binsmin.front();
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opts.q2_max = opts.TheQ2binsmax.back();
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//Create parameter set
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fcnc::bu2kstarmumu_parameters * leParameters = new fcnc::bu2kstarmumu_parameters(&opts);
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//create PDF
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fcnc::bu2kstarmumu_pdf * lePDF = new fcnc::bu2kstarmumu_pdf(&opts, leParameters);
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//Initialize basic parameters
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//define center of q2bin as effective q2
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leParameters->eff_q2.init_fixed( bin_center_q2(opts,b));
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leParameters->f_sig.init_fixed(1.0);
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if (!opts.only_angles){ //If not fitting the angles ONLY, init the mass parameters
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leParameters->init_mass_parameters(n,nBins,b,0.01);
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leParameters->m_b.init(PDGMASS_B_PLUS, B_MASS_LOW, B_MASS_HIGH, fixBMass ? 0.0: 1.0);
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if (!fitReference && !fitPHSP){
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std::string file = final_result_name_MC(params, 1, true, false, true, false, true);
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leParameters->fix_param_from_rootfile(file, {"alpha_1","alpha_2","n_1","n_2"}, pdf_idx.at(n), 0);
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}
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leParameters->m_scale.init_fixed(1.0); //Scale of sigma between the signal/ref MC, used in the data mass fit
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}
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if (!dontFitAngles){
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leParameters->init_angular_parameters(nBins,b,angleStepSize,angleRange, Blind);
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}
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//TODO: DELETE: only for testing the folding
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//double FLinit[4] = {0.662,0.689,0.444,0.357};
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//if (params.folding == 4) leParameters->Fl.init_fixed(FLinit[b]);//,0.0,1.0,0.05);
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//if (params.folding == 4) leParameters->S8.init_fixed(0.0);
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if (!fitReference && !fitPHSP){
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std::string file = final_result_name_MC(params, 1, true, false, true, false, true);
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leParameters->fix_param_from_rootfile(file, {"alpha_1","alpha_2","n_1","n_2"}, pdf_idx.at(n), 0);
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}
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//Kpi mass p-wave
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if(opts.fit_mkpi || opts.use_mkpi){
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leParameters->init_mkpi_pWave_parameters(fitReference,0.001);
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}
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//make sure all configured values are also the start_value:
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leParameters->take_current_as_start();
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theParams[b].push_back(leParameters);
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theProbs [b].push_back(lePDF);
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spdlog::info("[PDF{0:d}]\tSaved PDF and parameters!", pdf_idx.at(n) );
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//create vector with events according to the requested fits/pulls
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std::vector<fcnc::event> *leEvents= new std::vector<fcnc::event>;
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//Loop over events
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spdlog::debug("Loop over events");
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for_indexed(auto meas: events.at(n)){
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theOptions[n].update_angle_ranges(); //Update angle ranges based on the folding
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//Reject events in the case prescale is used
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if (prescale>1 && i%prescale!=0) continue;
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//Select either magUp or magDown
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if(params.polarity==1 && meas.magnet > 0) continue;
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if(params.polarity==-1 && meas.magnet < 0) continue;
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if(meas.q2 < opts.TheQ2binsmin.at(b) || meas.q2 > opts.TheQ2binsmax.at(b)) continue;
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if(meas.mkpi < opts.mkpi_min || meas.mkpi > opts.mkpi_max) continue;
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if(meas.m < B_MASS_LOW || meas.m > B_MASS_HIGH) continue;
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if(!filterFldFour(&meas, &theOptions[n])) continue; //remove ctk events
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if(!opts.full_angular) fldr.fold(&meas);
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leEvents->push_back(meas);
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}
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//Update efficiencies (aka take into account angular parametrization weights) ONCE
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lePDF->load_coeffs_eff_phsp_4d();
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lePDF->update_cached_normalization(leParameters);
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lePDF->update_cached_efficiencies(leParameters, leEvents);
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opts.update_angle_ranges();
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spdlog::info("[PDF{0:d}]\tFinished selecting the events: {1:d}",n, leEvents->size());
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//save event vector in vector
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selection[b].push_back(leEvents);
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if(selection[b].back()->size() > 0){
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spdlog::info("[PDF{0:d}]\t[BIN{1:d}]\tDone!", n, b);
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}
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else{
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spdlog::critical("No events found for PDF={0:d} and q2 bin={1:d}. Exit!",n,b);
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assert(0);
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}
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} //End loop over bins
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opts.update_efficiencies = false; //Prevent the weights to be applied several more times in fitter::fit
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theOptions[n] = opts;
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//Allocate the plotter... sigh
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thePlotter[n] = new fcnc::bu2kstarmumu_plotter(&theOptions[n]);
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}//end loop over PDFs
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//--------------------------------
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// FIT
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//--------------------------------
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spdlog::info("[MCFIT]\tMC fit started.");
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//Measure the time for the fit:
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runTime timer = runTime();
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//Save the fit results
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std::vector<int>fit_results[nBins];
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std::vector<double>f_sigs[nBins];
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std::vector<double>f_sigserr[nBins];
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std::vector<UInt_t>evts_cntr[nBins];
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//fit all bins:
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for(unsigned int b = 0; b < nBins; b++){
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//Start the clock
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timer.start();
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time_t startTime = time(0);
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spdlog::info("[START]\tStart the fit for bin #{0:d}", b);
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//Int for fit status
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int fitresult = 0;
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if(!SimultaneousFit){
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for(UInt_t n = 0; n < nPDFs; n++){
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//Delete the texFile
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std::string tag = get_MCfit_label(fitReference, fitPHSP,
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nBins, b,
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SimultaneousFit, params, theOptions[n].run,
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opts.only_angles, dontFitAngles);
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clear_Latex_noteFile(latex_fitterFile(tag));
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spdlog::info("[FIT{0:d}]\tRunning the fitter...", n);
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fitresult = f.fit(theProbs[b].at(n), theParams[b].at(n), selection[b].at(n),tag);
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fit_results[b].push_back(fitresult);
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}
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}
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else{
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spdlog::info("[FIT]\tFitting simultaenously....");
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//Delete the texFile
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std::string tag = get_MCfit_label(fitReference, fitPHSP,
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nBins, b,
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SimultaneousFit, params, opts.run,
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opts.only_angles, dontFitAngles);
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clear_Latex_noteFile(latex_fitterFile(tag));
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for(UInt_t s = 0; s < selection[b].size(); s++)spdlog::info("PDF #{0:d}: {1:d}", pdf_idx.at(s), selection[b].at(s)->size());
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fitresult = f.fit(theProbs[b], theParams[b], selection[b],tag);
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fit_results[b].push_back(fitresult);
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spdlog::info("Q2BIN={0:d}\tLLH={1:f}", b, f.likelihood());
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if(params.likelyhood){
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spdlog::error("TODO.");
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return 5;
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}
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if(params.FeldCous){
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spdlog::error("TODO.");
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return 5;
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}
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}
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//Stop the clock
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timer.stop(startTime);
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//Print the fit results
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spdlog::info("[BIN{0:d}]:\tFitresult: {1:d}", b, fitresult);
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//save signal fraction and event number for each bin and each pdf:
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for(UInt_t n = 0; n < nPDFs; n++){
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f_sigs[b] .push_back(((fcnc::bu2kstarmumu_parameters *) theParams[b].at(n))->f_sig.get_value());
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f_sigserr[b].push_back(((fcnc::bu2kstarmumu_parameters *) theParams[b].at(n))->f_sig.get_error());
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evts_cntr[b].push_back(selection[b].at(n)->size());
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}
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//Plot everything
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for(UInt_t n = 0; n < nPDFs; n++){
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std::string eps_label = get_MCfit_label(fitReference, fitPHSP,
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nBins, b,
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SimultaneousFit, params, theOptions[n].run,
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opts.only_angles, dontFitAngles);
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theOptions[n].q2_label = q2_label(theOptions[n].TheQ2binsmin.at(b), theOptions[n].TheQ2binsmax.at(b));
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spdlog::info("[PLOT]\t"+eps_label);
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thePlotter[n]->SetPulls(plotPulls);
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thePlotter[n]->plot_data((fcnc::bu2kstarmumu_pdf*)theProbs[b].at(n),
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(fcnc::bu2kstarmumu_parameters*)theParams[b].at(n),
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selection[b].at(n),
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get_MCfitPlot_path(fitReference, fitPHSP), eps_label, false);
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}
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std::string eps_label = get_MCfit_label(fitReference, fitPHSP,
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nBins, b,
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SimultaneousFit, params, params.Run,
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opts.only_angles, dontFitAngles);
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if (!plotPulls) eps_label = eps_label+"_noPulls";
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std::vector<fcnc::bu2kstarmumu_pdf*> * prober = (std::vector<fcnc::bu2kstarmumu_pdf*> *) & theProbs[b];
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std::vector<fcnc::bu2kstarmumu_parameters*> * paramser = (std::vector<fcnc::bu2kstarmumu_parameters*> *) & theParams[b];
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thePlotter[0]->SetPulls(plotPulls);
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thePlotter[0]->plot_added_pdfs(prober, paramser, &selection[b],
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get_MCfitPlot_path(fitReference, fitPHSP),eps_label, false);
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} //end bin loop
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//--------------------------------
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// Print & Save
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//--------------------------------
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//Print running time
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timer.print(nBins);
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//Print all fit results
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print_all_parameters(nBins, pdf_idx, theParams, spdlog::level::debug);
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//Save the fit results
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for(unsigned int b = 0; b < nBins; b++){
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for(UInt_t i = 0; i < pdf_idx.size(); i++){
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std::vector<fcnc::bu2kstarmumu_parameters*> * paramser = (std::vector<fcnc::bu2kstarmumu_parameters*> *) & theParams[b];
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paramser->at(i)->save_param_values(finalResult_MCfit_txt(i,fitReference,fitPHSP, nBins, b, SimultaneousFit, params, params.Run, opts.only_angles, dontFitAngles));
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}
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}
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//Print signal yield in the terminal and to a tex file
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if (!Blind) print_sig_yields(nBins, pdf_idx, evts_cntr, f_sigs, f_sigserr);
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print_sig_yields_tex(get_MCfit_label(fitReference, fitPHSP,
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nBins, -1,
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SimultaneousFit, params, params.Run,
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opts.only_angles, dontFitAngles),
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nBins, pdf_idx, theOptions, evts_cntr, f_sigs, f_sigserr);
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//Save results to root file
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std::string results_file = final_result_name_MC(params, nBins, fitReference, fitPHSP, SimultaneousFit, opts.only_angles, dontFitAngles);
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save_results(results_file, nBins, pdf_idx, fit_results, theParams, SimultaneousFit, &opts);
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spdlog::info("[MCFIT]\tMC fit finished.");
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return 0;
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}
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