mirror of
https://github.com/aportelli/LatAnalyze.git
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130 lines
3.3 KiB
C++
130 lines
3.3 KiB
C++
/*
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* EffectiveMass.cpp, part of LatAnalyze 3
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*
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* Copyright (C) 2013 - 2020 Antonin Portelli
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*
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* LatAnalyze 3 is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* LatAnalyze 3 is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <LatAnalyze/Physics/EffectiveMass.hpp>
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#include <LatAnalyze/includes.hpp>
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using namespace std;
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using namespace Latan;
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// constructors ////////////////////////////////////////////////////////////////
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EffectiveMass::EffectiveMass(const CorrelatorType type)
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{
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setType(type);
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}
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// access //////////////////////////////////////////////////////////////////////
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CorrelatorType EffectiveMass::getType(void) const
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{
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return type_;
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}
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void EffectiveMass::setType(const CorrelatorType type)
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{
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type_ = type;
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}
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DVec EffectiveMass::getTime(const Index nt) const
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{
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DVec tvec;
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switch (type_)
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{
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case CorrelatorType::undefined:
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LATAN_ERROR(Argument, "correlator type is undefined");
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break;
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case CorrelatorType::exp:
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case CorrelatorType::linear:
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tvec = DVec::LinSpaced(nt - 1, 0, nt - 2);
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break;
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case CorrelatorType::cosh:
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case CorrelatorType::sinh:
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tvec = DVec::LinSpaced(nt - 2, 1, nt - 2);
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break;
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case CorrelatorType::cst:
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tvec = DVec::LinSpaced(nt, 0, nt - 1);
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break;
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}
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return tvec;
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}
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// compute effective mass //////////////////////////////////////////////////////
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DVec EffectiveMass::operator()(const DVec &corr) const
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{
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Index nt = corr.size();
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DVec em;
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if (nt < 2)
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{
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LATAN_ERROR(Size, "input vector has less than 2 elements");
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}
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switch (type_)
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{
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case CorrelatorType::undefined:
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LATAN_ERROR(Argument, "correlator type is undefined");
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break;
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case CorrelatorType::exp:
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em.resize(nt - 1);
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for (Index t = 1; t < nt; ++t)
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{
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em(t - 1) = log(corr(t - 1)/corr(t));
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}
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break;
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case CorrelatorType::cosh:
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em.resize(nt - 2);
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for (Index t = 1; t < nt - 1; ++t)
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{
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em(t - 1) = acosh((corr(t - 1) + corr(t + 1))/(2.*corr(t)));
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}
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break;
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case CorrelatorType::sinh:
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em.resize(nt - 2);
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for (Index t = 1; t < nt - 1; ++t)
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{
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em(t - 1) = acosh((corr(t - 1) + corr(t + 1))/(2.*corr(t)));
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}
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break;
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case CorrelatorType::linear:
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em.resize(nt - 1);
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for (Index t = 0; t < nt - 1; ++t)
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{
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em(t) = corr(t) - corr(t - 1);
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}
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break;
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case CorrelatorType::cst:
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em = corr;
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break;
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}
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return em;
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}
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DMatSample EffectiveMass::operator()(const DMatSample &corr) const
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{
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DMatSample em(corr.size());
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FOR_STAT_ARRAY(em, s)
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{
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em[s] = (*this)(corr[s]);
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}
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return em;
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}
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