CorrGaussianPdf.cu

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#include <goofit/PDFs/basic/CorrGaussianPdf.h>

namespace GooFit {

__device__ fptype device_CorrGaussian(fptype *evt, fptype *p, unsigned int *indices) {
    fptype x      = evt[indices[2 + indices[0]]];
    fptype y      = evt[indices[3 + indices[0]]];
    fptype mean1  = p[indices[1]];
    fptype sigma1 = p[indices[2]];
    fptype mean2  = p[indices[3]];
    fptype sigma2 = p[indices[4]];
    fptype corr   = p[indices[5]];

    fptype x_dist = (x - mean1) / sigma1;
    sigma2 *= (1 + corr * x_dist * x_dist);
    fptype y_dist = (y - mean2) * (sigma2 == 0 ? 0 : (1.0 / sigma2));
    fptype ret    = exp(-0.5 * (x_dist * x_dist + y_dist * y_dist));

    // if ((gpuDebug & 1) && (THREADIDX == 60)) printf("CorrGauss: %f %f %f %f %f %f %f %f %f %.12f\n", x, y, mean1,
    // sigma1, mean2, sigma2, corr, x_dist, y_dist, ret);
    // if ((gpuDebug & 1) && (THREADIDX == 60)) printf("[%i, %i] [%i, %i] CorrGauss: %f %f %f\n", BLOCKIDX, THREADIDX,
    // gridDim.x, BLOCKDIM, x, y, ret);
    // printf("CorrGauss: %i %i %i %f %f %f %f\n", indices[2 + indices[0]], indices[3 + indices[0]], indices[0], x, y,
    // mean1, mean2);

    return ret;
}

__device__ device_function_ptr ptr_to_CorrGaussian = device_CorrGaussian;

__host__ CorrGaussianPdf::CorrGaussianPdf(std::string n,
                                          Observable _x,
                                          Observable _y,
                                          Variable mean1,
                                          Variable sigma1,
                                          Variable mean2,
                                          Variable sigma2,
                                          Variable correlation)
    : GooPdf(n, _x, _y) {
    // registerObservable(_x);
    // registerObservable(_y);

    std::vector<unsigned int> pindices;
    pindices.push_back(registerParameter(mean1));
    pindices.push_back(registerParameter(sigma1));
    pindices.push_back(registerParameter(mean2));
    pindices.push_back(registerParameter(sigma2));
    pindices.push_back(registerParameter(correlation));

    GET_FUNCTION_ADDR(ptr_to_CorrGaussian);
    initialize(pindices);
}

} // namespace GooFit