/** Calculates the rebin parameters in the case where the bins of the two
* workspaces intersect.
* 'Intersect' is used in the sense of two intersecting sets.
* @param X1 :: The bin boundaries from the first workspace
* @param i :: Indicates the index in X1 immediately before the overlap
* region starts
* @param X2 :: The bin boundaries from the second workspace
* @param params :: A reference to the vector of rebinning parameters
*/
void MergeRuns::intersectionParams(const HistogramX &X1, int64_t &i,
const HistogramX &X2,
std::vector<double> ¶ms) const {
// First calculate the number of bins in each workspace that are in the
// overlap region
int64_t overlapbins1, overlapbins2;
overlapbins1 = X1.size() - i;
for (overlapbins2 = 0; X2[overlapbins2] < X1.back(); ++overlapbins2) {
}
// We want to use whichever one has the larger bins (on average)
if (overlapbins1 < overlapbins2) {
// In this case we want the rest of the bins from the first workspace.....
for (; i < static_cast<int64_t>(X1.size()); ++i) {
params.push_back(X1[i] - X1[i - 1]);
params.push_back(X1[i]);
}
// Now remove the last bin & boundary
params.pop_back();
params.pop_back();
// ....and then the non-overlap ones from the second workspace
for (size_t j = overlapbins2; j < X2.size(); ++j) {
params.push_back(X2[j] - params.back());
params.push_back(X2[j]);
}
} else {
// In this case we just have to add all the bins from the second workspace
for (size_t j = 1; j < X2.size(); ++j) {
params.push_back(X2[j] - params.back());
params.push_back(X2[j]);
}
}
}
/** Calculates the rebin parameters in the case where the range of the second
* workspace is
* entirely within that of the first workspace.
* 'Inclusion' is used in the sense of a set being included in anothre.
* @param X1 :: The bin boundaries from the first workspace
* @param i :: Indicates the index in X1 immediately before the overlap
* region starts
* @param X2 :: The bin boundaries from the second workspace
* @param params :: A reference to the vector of rebinning parameters
*/
void MergeRuns::inclusionParams(const HistogramX &X1, int64_t &i,
const HistogramX &X2,
std::vector<double> ¶ms) const {
// First calculate the number of bins in each workspace that are in the
// overlap region
int64_t overlapbins1, overlapbins2;
for (overlapbins1 = 1; X1[i + overlapbins1] < X2.back(); ++overlapbins1) {
}
//++overlapbins1;
overlapbins2 = X2.size() - 1;
// In the overlap region, we want to use whichever one has the larger bins (on
// average)
if (overlapbins1 + 1 <= overlapbins2) {
// In the case where the first workspace has larger bins it's easy
// - just add the rest of X1's bins
for (; i < static_cast<int64_t>(X1.size()); ++i) {
params.push_back(X1[i] - X1[i - 1]);
params.push_back(X1[i]);
}
} else {
// In this case we want all of X2's bins first (without the first and last
// boundaries)
for (size_t j = 1; j < X2.size() - 1; ++j) {
params.push_back(X2[j] - params.back());
params.push_back(X2[j]);
}
// And now those from X1 that lie above the overlap region
i += overlapbins1;
for (; i < static_cast<int64_t>(X1.size()); ++i) {
params.push_back(X1[i] - params.back());
params.push_back(X1[i]);
}
}
}
/** Rebunches histogram data data according to n_bunch input
*
* @param xold :: old x data
* @param yold :: old y data
* @param eold :: old e data
* @param xnew :: new x data
* @param ynew :: new y data
* @param enew :: new e data
* @param n_bunch :: number of data points to bunch together for each new point
* @throw runtime_error Thrown if algorithm cannot execute
* @throw invalid_argument Thrown if input to function is incorrect
**/
void Rebunch::rebunch_hist_frequencies(const HistogramX &xold,
const HistogramY &yold,
const HistogramE &eold, HistogramX &xnew,
HistogramY &ynew, HistogramE &enew,
const size_t n_bunch) {
double width;
size_t size_x = xold.size();
size_t size_y = yold.size();
double ysum, esum;
size_t hi_index = size_x - 1;
size_t wbins = size_y / n_bunch;
size_t rem = size_y % n_bunch;
size_t i, j;
int i_in = 0;
j = 0;
while (j < wbins) {
ysum = 0.0;
esum = 0.0;
for (i = 1; i <= n_bunch; i++) {
width = xold[i_in + 1] - xold[i_in];
ysum += yold[i_in] * width;
esum += eold[i_in] * eold[i_in] * width * width;
i_in++;
}
// average contributing x values
ynew[j] = ysum;
enew[j] = sqrt(esum);
j++;
}
if (rem != 0) {
ysum = 0.0;
esum = 0.0;
for (i = 1; i <= rem; i++) {
width = xold[i_in + 1] - xold[i_in];
ysum += yold[i_in] * width;
esum += eold[i_in] * eold[i_in] * width * width;
i_in++;
}
ynew[j] = ysum;
enew[j] = sqrt(esum);
}
j = 0;
xnew[j] = xold[0];
j++;
for (i = n_bunch; i < hi_index; i += n_bunch) {
xnew[j] = xold[i];
j++;
}
xnew[j] = xold[hi_index];
for (i = 0; i < ynew.size(); i++) {
width = xnew[i + 1] - xnew[i];
ynew[i] = ynew[i] / width;
enew[i] = enew[i] / width;
}
}
/** Calculates the rebin paramters in the case where the two input workspaces do
* not overlap at all.
* @param X1 :: The bin boundaries from the first workspace
* @param X2 :: The bin boundaries from the second workspace
* @param params :: A reference to the vector of rebinning parameters
*/
void MergeRuns::noOverlapParams(const HistogramX &X1, const HistogramX &X2,
std::vector<double> ¶ms) const {
// Add all the bins from the first workspace
for (size_t i = 1; i < X1.size(); ++i) {
params.push_back(X1[i - 1]);
params.push_back(X1[i] - X1[i - 1]);
}
// Put a single bin in the 'gap' (but check first the 'gap' isn't zero)
if (X1.back() < X2.front()) {
params.push_back(X1.back());
params.push_back(X2.front() - X1.back());
}
// Now add all the bins from the second workspace
for (size_t j = 1; j < X2.size(); ++j) {
params.push_back(X2[j - 1]);
params.push_back(X2[j] - X2[j - 1]);
}
params.push_back(X2.back());
}
