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core_diagnostics.cc
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#include "core_diagnostics.h"
#include <cmath>
#include <stdexcept>
#include "synergia/utils/simple_timer.h"
MArray1d
Core_diagnostics::calculate_mean(Bunch const& bunch)
{
MArray1d mean(boost::extents[6]);
double sum[6] = { 0, 0, 0, 0, 0, 0 };
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
for (int i = 0; i < 6; ++i) {
sum[i] += particles[part][i];
}
}
double t;
t = simple_timer_current();
MPI_Allreduce(sum, mean.origin(), 6, MPI_DOUBLE, MPI_SUM,
bunch.get_comm_sptr()->get());
t = simple_timer_show(t, "allmpireduce_in_diagnostic mean");
for (int i = 0; i < 6; ++i) {
mean[i] /= bunch.get_total_num();
}
return mean;
}
double
Core_diagnostics::calculate_z_mean(Bunch const& bunch)
{
double sum = 0;
double mean;
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
sum += particles[part][4];
}
MPI_Allreduce(&sum, &mean, 1, MPI_DOUBLE, MPI_SUM, bunch.get_comm_sptr()->get());
mean /= bunch.get_total_num();
return mean;
}
double
Core_diagnostics::calculate_z_std(Bunch const& bunch, double const& mean)
{
double sum = 0;
double std;
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
double diff = particles[part][4] - mean;
sum += diff * diff;
}
MPI_Allreduce(&sum, &std, 1, MPI_DOUBLE, MPI_SUM, bunch.get_comm_sptr()->get());
std = std::sqrt(std / bunch.get_total_num());
return std;
}
MArray1d
Core_diagnostics::calculate_spatial_mean(Bunch const& bunch)
{
MArray1d mean(boost::extents[3]);
double sum[3] = { 0, 0, 0 };
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
for (int i = 0; i < 3; ++i) {
sum[i] += particles[part][i * 2];
}
}
double t;
t = simple_timer_current();
MPI_Allreduce(sum, mean.origin(), 3, MPI_DOUBLE, MPI_SUM,
bunch.get_comm_sptr()->get());
t = simple_timer_show(t, "allmpireduce_in_diagnostic mean");
for (int i = 0; i < 3; ++i) {
mean[i] /= bunch.get_total_num();
}
return mean;
}
MArray1d
Core_diagnostics::calculate_std(Bunch const& bunch, MArray1d_ref const& mean)
{
MArray1d std(boost::extents[6]);
double sum[6] = { 0, 0, 0, 0, 0, 0 };
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
for (int i = 0; i < 6; ++i) {
double diff = particles[part][i] - mean[i];
sum[i] += diff * diff;
}
}
MPI_Allreduce(sum, std.origin(), 6, MPI_DOUBLE, MPI_SUM,
bunch.get_comm_sptr()->get());
for (int i = 0; i < 6; ++i) {
std[i] = std::sqrt(std[i] / bunch.get_total_num());
}
return std;
}
MArray1d
Core_diagnostics::calculate_spatial_std(Bunch const& bunch, MArray1d_ref const& mean)
{
MArray1d std(boost::extents[3]);
double sum[3] = { 0, 0, 0 };
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
for (int i = 0; i < 3; ++i) {
double diff = particles[part][i * 2] - mean[i];
sum[i] += diff * diff;
}
}
MPI_Allreduce(sum, std.origin(), 3, MPI_DOUBLE, MPI_SUM,
bunch.get_comm_sptr()->get());
for (int i = 0; i < 3; ++i) {
std[i] = std::sqrt(std[i] / bunch.get_total_num());
}
return std;
}
MArray2d
Core_diagnostics::calculate_mom2(Bunch const& bunch, MArray1d_ref const& mean)
{
MArray2d mom2(boost::extents[6][6]);
MArray2d sum2(boost::extents[6][6]);
for (int i = 0; i < 6; ++i) {
for (int j = 0; j < 6; ++j) {
sum2[i][j] = 0.0;
}
}
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
for (int i = 0; i < 6; ++i) {
double diff_i = particles[part][i] - mean[i];
for (int j = 0; j <= i; ++j) {
double diff_j = particles[part][j] - mean[j];
sum2[i][j] += diff_i * diff_j;
}
}
}
for (int i = 0; i < 5; ++i) {
for (int j = i + 1; j < 6; ++j) {
sum2[i][j] = sum2[j][i];
}
}
MPI_Allreduce(sum2.origin(), mom2.origin(), 36, MPI_DOUBLE, MPI_SUM,
bunch.get_comm_sptr()->get());
for (int i = 0; i < 6; ++i) {
for (int j = i; j < 6; ++j) {
mom2[i][j] = mom2[j][i] = mom2[i][j] / bunch.get_total_num();
}
}
return mom2;
}
MArray1d
Core_diagnostics::calculate_min(Bunch const& bunch)
{
MArray1d min(boost::extents[3]);
double lmin[3] = { 1.0e100, 1.0e100, 1.0e100 };
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
if (particles[part][0] < lmin[0]) {
lmin[0] = particles[part][0];
}
if (particles[part][2] < lmin[1]) {
lmin[1] = particles[part][2];
}
if (particles[part][4] < lmin[2]) {
lmin[2] = particles[part][4];
}
}
MPI_Allreduce(lmin, min.origin(), 3, MPI_DOUBLE, MPI_MIN,
bunch.get_comm_sptr()->get());
return min;
}
MArray1d
Core_diagnostics::calculate_max(Bunch const& bunch)
{
MArray1d max(boost::extents[3]);
double lmax[3] = { -1.0e100, -1.0e100, -1.0e100 };
Const_MArray2d_ref particles(bunch.get_local_particles());
for (int part = 0; part < bunch.get_local_num(); ++part) {
if (particles[part][0] > lmax[0]) {
lmax[0] = particles[part][0];
}
if (particles[part][2] > lmax[1]) {
lmax[1] = particles[part][2];
}
if (particles[part][4] > lmax[2]) {
lmax[2] = particles[part][4];
}
}
MPI_Allreduce(lmax, max.origin(), 3, MPI_DOUBLE, MPI_MAX,
bunch.get_comm_sptr()->get());
return max;
}