CPenguinBoxMu.cpp

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/* 
 * Copyright (C) 2012 HEPfit Collaboration
 *
 *
 * For the licensing terms see doc/COPYING.
 */
 
#include "CPenguinBoxMu.h"
#include "StandardModel.h"
 
CPenguinBoxMu::CPenguinBoxMu(const StandardModel& model_i)
: model(model_i), modelmatching(model_i.getMatching())
{}
 
CPenguinBoxMu::~CPenguinBoxMu()
{}
 
double CPenguinBoxMu::C_NL()
{
    double muc = model.getMuc();
    double Mw = model.getMuw();
    double mc = model.Mrun(muc, model.getQuarks(QCD::CHARM).getMass_scale(),
            model.getQuarks(QCD::CHARM).getMass(), FULLNNLO);
 
    double K = model.Als(Mw) / model.Als(muc);
    double Kc = model.Als(muc) / model.Als(mc);
    double Kp = pow(K, 6. / 25.);
    double Km = pow(K, -12. / 25.);
    double K3 = pow(K, -1. / 25.);
 
    return ( (mc * mc / Mw / Mw) / 32. * pow(Kc, 24. / 25.)*
            ((48. / 7. * Kp + 24. / 11. * Km - 696. / 77. * K3)*(4. * M_PI / model.Als(muc) + 15212. / 1875. * (1. - 1. / Kc))
            + (1. - log(muc * muc / mc / mc))*(16. * Kp - 8. * Km) - 1176244. / 13125. * Kp - 2302. / 6875. * Km
            + 3529184. / 48125. * K3 + K * (56248. / 4375. * Kp - 81448. / 6875. * Km +
            4563698. / 144375 * K3)));
}
 
double CPenguinBoxMu::B_NL()
{
    double muc = model.getMuc();
    double Mw = model.getMuw();
    double mc = model.Mrun(muc, model.getQuarks(QCD::CHARM).getMass_scale(),
            model.getQuarks(QCD::CHARM).getMass(), FULLNNLO);
 
    double K = model.Als(Mw) / model.Als(muc);
    double Kc = model.Als(muc) / model.Als(mc);
    double K3 = pow(K, -1. / 25.);
 
    return ( (mc * mc / Mw / Mw)*.25 * pow(Kc, 24. / 25.)*
            (3. * (1. - K3)*(4. * M_PI / model.Als(muc) + 15212. / 1875. * (1. - 1. / Kc))
            - -log(muc * muc / mc / mc) - 329. / 12. + 15212. / 625. * K3 + 30581. / 7500. * K * K3));
}
 
double CPenguinBoxMu::X_ch()
{
 
    double x = pow(model.Mrun(model.getMuw(), model.getQuarks(QCD::TOP).getMass_scale(),
            model.getQuarks(QCD::TOP).getMass(), FULLNNLO) / model.Mw_tree(), 2.);
    double a = model.getCKM().computelamc().real() / model.getCKM().getLambda()*(C_NL() - B_NL());
    double b = model.getCKM().computelamt().real() / model.getCKM().getLambda()*
            (modelmatching.Y0(x) + model.Als(model.getMuw()) / 4. / M_PI * modelmatching.Y1(x, model.getMuw()));
 
    return ( a * a + 2. * a * b);
}