/***********************************************************************//**
* @brief Get application parameters
*
* Get all task parameters from parameter file or (if required) by querying
* the user. The parameters are read in the correct order.
***************************************************************************/
void ctmodel::get_parameters(void)
{
// Reset cube append flag
m_append_cube = false;
// If there are no observations in container then load them via user
// parameters.
if (m_obs.size() == 0) {
get_obs();
}
// If we have now excactly one CTA observation (but no cube has yet been
// appended to the observation) then check whether this observation
// is a binned observation, and if yes, extract the counts cube for
// model generation
if ((m_obs.size() == 1) && (m_append_cube == false)) {
// Get CTA observation
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[0]);
// Continue only if observation is a CTA observation
if (obs != NULL) {
// Check for binned observation
if (obs->eventtype() == "CountsCube") {
// Set cube from binned observation
GCTAEventCube* evtcube = dynamic_cast<GCTAEventCube*>(const_cast<GEvents*>(obs->events()));
cube(*evtcube);
// Signal that cube has been set
m_has_cube = true;
// Signal that we are in binned mode
m_binned = true;
} // endif: observation was binned
} // endif: observation was CTA
} // endif: had exactly one observation
// Read model definition file if required
if (m_obs.models().size() == 0) {
// Get model filename
std::string inmodel = (*this)["inmodel"].filename();
// Load models from file
m_obs.models(inmodel);
} // endif: there were no models
// Get energy dispersion flag parameters
m_apply_edisp = (*this)["edisp"].boolean();
// If we do not have yet a counts cube for model computation then check
// whether we should read it from the "incube" parameter or whether we
// should create it from scratch using the task parameters
if (!m_has_cube) {
// Read cube definition file
std::string incube = (*this)["incube"].filename();
// If no cube file has been specified then create a cube from
// the task parameters ...
if ((incube == "NONE") ||
(gammalib::strip_whitespace(incube) == "")) {
// Create cube from scratch
m_cube = create_cube(m_obs);
}
// ... otherwise load the cube from file and reset all bins
// to zero
else {
// Load cube from given file
m_cube.load(incube);
// Set all cube bins to zero
for (int i = 0; i < m_cube.size(); ++i) {
m_cube[i]->counts(0.0);
}
}
// Signal that cube has been set
m_has_cube = true;
} // endif: we had no cube yet
// Read optionally output cube filenames
if (read_ahead()) {
m_outcube = (*this)["outcube"].filename();
}
// If cube should be appended to first observation then do that now.
// This is a kluge that makes sure that the cube is passed as part
// of the observation in case that a cube response is used. The kluge
// is needed because the GCTACubeSourceDiffuse::set method needs to
// get the full event cube from the observation. It is also at this
// step that the GTI, which may just be a dummy GTI when create_cube()
// has been used, will be set.
if (m_append_cube) {
//TODO: Check that energy boundaries are compatible
// Attach GTI of observations to model cube
m_cube.gti(m_obs[0]->events()->gti());
// Attach model cube to observations
m_obs[0]->events(m_cube);
} // endif: cube was scheduled for appending
// Return
return;
}
/***********************************************************************//**
* @brief Generate the model map(s)
*
* This method reads the task parameters from the parfile, sets up the
* observation container, loops over all CTA observations in the container
* and generates a model map for each CTA observation.
***************************************************************************/
void ctmodel::run(void)
{
// If we're in debug mode then all output is also dumped on the screen
if (logDebug()) {
log.cout(true);
}
// Get task parameters
get_parameters();
// Write parameters into logger
if (logTerse()) {
log_parameters();
log << std::endl;
}
// Set energy dispersion flag for all CTA observations and save old
// values in save_edisp vector
std::vector<bool> save_edisp;
save_edisp.assign(m_obs.size(), false);
for (int i = 0; i < m_obs.size(); ++i) {
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[i]);
if (obs != NULL) {
save_edisp[i] = obs->response()->apply_edisp();
obs->response()->apply_edisp(m_apply_edisp);
}
}
// Write observation(s) into logger
if (logTerse()) {
log << std::endl;
if (m_obs.size() > 1) {
log.header1("Observations");
}
else {
log.header1("Observation");
}
log << m_obs << std::endl;
}
// Write models into logger
if (logTerse()) {
log << std::endl;
log.header1("Models");
log << m_obs.models() << std::endl;
}
// Write header
if (logTerse()) {
log << std::endl;
log.header1("Generate model cube");
}
// Loop over all observations in the container
for (int i = 0; i < m_obs.size(); ++i) {
// Write header for observation
if (logTerse()) {
std::string header = m_obs[i]->instrument() + " observation";
if (m_obs[i]->name().length() > 1) {
header += " \"" + m_obs[i]->name() + "\"";
}
if (m_obs[i]->id().length() > 1) {
header += " (id=" + m_obs[i]->id() +")";
}
log.header3(header);
}
// Get CTA observation
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[i]);
// Skip observation if it's not CTA
if (obs == NULL) {
if (logTerse()) {
log << " Skipping ";
log << m_obs[i]->instrument();
log << " observation" << std::endl;
}
continue;
}
// Fill cube and leave loop if we are binned mode (meaning we
// only have one binned observation)
if (m_binned) {
fill_cube(obs);
break;
}
// Skip observation if we have a binned observation
if (obs->eventtype() == "CountsCube") {
if (logTerse()) {
log << " Skipping binned ";
log << obs->instrument();
log << " observation" << std::endl;
}
continue;
}
// Fill the cube
fill_cube(obs);
// Dispose events to free memory if event file exists on disk
if (obs->eventfile().length() > 0 &&
gammalib::file_exists(obs->eventfile())) {
obs->dispose_events();
}
} // endfor: looped over observations
// Log cube
if (logTerse()) {
log << std::endl;
log.header1("Model cube");
log << m_cube << std::endl;
}
// Restore energy dispersion flag for all CTA observations
for (int i = 0; i < m_obs.size(); ++i) {
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[i]);
if (obs != NULL) {
obs->response()->apply_edisp(save_edisp[i]);
}
}
// Return
return;
}
