/***********************************************************************//**
* @brief Test CTA Npred computation
*
* Tests the Npred computation for the diffuse source model. This is done
* by loading the model from the XML file and by calling the
* GCTAObservation::npred method which in turn calls the
* GCTAResponse::npred_diffuse method. The test takes a few seconds.
***************************************************************************/
void TestGCTAResponse::test_response_npred_diffuse(void)
{
// Set reference value
double ref = 11212.26274;
// Set parameters
double src_ra = 201.3651;
double src_dec = -43.0191;
double roi_rad = 4.0;
// Setup ROI centred on Cen A with a radius of 4 deg
GCTARoi roi;
GCTAInstDir instDir;
instDir.radec_deg(src_ra, src_dec);
roi.centre(instDir);
roi.radius(roi_rad);
// Setup pointing on Cen A
GSkyDir skyDir;
skyDir.radec_deg(src_ra, src_dec);
GCTAPointing pnt;
pnt.dir(skyDir);
// Setup dummy event list
GGti gti;
GEbounds ebounds;
GTime tstart(0.0);
GTime tstop(1800.0);
GEnergy emin;
GEnergy emax;
emin.TeV(0.1);
emax.TeV(100.0);
gti.append(tstart, tstop);
ebounds.append(emin, emax);
GCTAEventList events;
events.roi(roi);
events.gti(gti);
events.ebounds(ebounds);
// Setup dummy CTA observation
GCTAObservation obs;
obs.ontime(1800.0);
obs.livetime(1600.0);
obs.deadc(1600.0/1800.0);
obs.response(cta_irf, cta_caldb);
obs.events(&events);
obs.pointing(pnt);
// Load models for Npred computation
GModels models(cta_rsp_xml);
// Perform Npred computation
double npred = obs.npred(models, NULL);
// Test Npred
test_value(npred, ref, 1.0e-5, "Diffuse Npred computation");
// Return
return;
}
/***********************************************************************//**
* @brief Save event list(s) in XML format.
*
* Save the event list(s) into FITS files and write the file path information
* into a XML file. The filename of the XML file is specified by the outfile
* parameter, the filename(s) of the event lists are built by prepending a
* prefix to the input event list filenames. Any path present in the input
* filename will be stripped, i.e. the event list(s) will be written in the
* local working directory (unless a path is specified in the prefix).
***************************************************************************/
void ctobssim::save_xml(void)
{
// Get output filename and prefix
m_outevents = (*this)["outevents"].filename();
m_prefix = (*this)["prefix"].string();
// Issue warning if output filename has no .xml suffix
std::string suffix = gammalib::tolower(m_outevents.substr(m_outevents.length()-4,4));
if (suffix != ".xml") {
log << "*** WARNING: Name of observation definition output file \""+
m_outevents+"\"" << std::endl;
log << "*** WARNING: does not terminate with \".xml\"." << std::endl;
log << "*** WARNING: This is not an error, but might be misleading."
" It is recommended" << std::endl;
log << "*** WARNING: to use the suffix \".xml\" for observation"
" definition files." << std::endl;
}
// Save only if event lists have not yet been saved and disposed
if (!m_save_and_dispose) {
// Loop over all observation in the container
for (int i = 0; i < m_obs.size(); ++i) {
// Get CTA observation
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[i]);
// Handle only CTA observations
if (obs != NULL) {
// Continue only if there is an event list (it may have been disposed)
if (obs->events()->size() != 0) {
// Set event output file name
std::string outfile = m_prefix + gammalib::str(i) + ".fits";
// Store output file name in observation
obs->eventfile(outfile);
// Save observation into FITS file
obs->save(outfile, clobber());
}
} // endif: observation was a CTA observations
} // endfor: looped over observations
} // endif: event list has not yet been saved and disposed
// Save observations in XML file
m_obs.save(m_outevents);
// Return
return;
}
/***********************************************************************//**
* @brief Test unbinned observation handling
***************************************************************************/
void TestGCTAObservation::test_unbinned_obs(void)
{
// Set filenames
const std::string file1 = "test_cta_obs_unbinned.xml";
// Declare observations
GObservations obs;
GCTAObservation run;
// Load unbinned CTA observation
test_try("Load unbinned CTA observation");
try {
run.load_unbinned(cta_events);
run.response(cta_irf,cta_caldb);
test_try_success();
}
catch (std::exception &e) {
test_try_failure(e);
}
// Add observation (twice) to data
test_try("Load unbinned CTA observation");
try {
obs.append(run);
obs.append(run);
test_try_success();
}
catch (std::exception &e) {
test_try_failure(e);
}
// Loop over all events using iterators
int num = 0;
for (GObservations::iterator event = obs.begin(); event != obs.end(); ++event) {
num++;
}
test_value(num, 8794, 1.0e-20, "Test observation iterator");
// Loop over all events using iterator
num = 0;
GCTAEventList *ptr = static_cast<GCTAEventList*>(const_cast<GEvents*>(run.events()));
for (GCTAEventList::iterator event = ptr->begin(); event != ptr->end(); ++event) {
num++;
}
test_value(num, 4397, 1.0e-20, "Test event iterator");
// Test XML loading
test_try("Test XML loading");
try {
obs = GObservations(cta_unbin_xml);
obs.save(file1);
test_try_success();
}
catch (std::exception &e) {
test_try_failure(e);
}
// Exit test
return;
}
/***********************************************************************//**
* @brief Test CTA IRF computation for diffuse source model
*
* Tests the IRF computation for the diffuse source model. This is done
* by calling the GCTAObservation::model method which in turn calls the
* GCTAResponse::irf_diffuse method. The test is done for a small counts
* map to keep the test executing reasonably fast.
***************************************************************************/
void TestGCTAResponse::test_response_irf_diffuse(void)
{
// Set reference value
double ref = 13803.800313356;
// Set parameters
double src_ra = 201.3651;
double src_dec = -43.0191;
int nebins = 5;
// Setup pointing on Cen A
GSkyDir skyDir;
skyDir.radec_deg(src_ra, src_dec);
GCTAPointing pnt;
pnt.dir(skyDir);
// Setup skymap (10 energy layers)
GSkymap map("CAR", "CEL", src_ra, src_dec, 0.5, 0.5, 10, 10, nebins);
// Setup time interval
GGti gti;
GTime tstart(0.0);
GTime tstop(1800.0);
gti.append(tstart, tstop);
// Setup energy boundaries
GEbounds ebounds;
GEnergy emin;
GEnergy emax;
emin.TeV(0.1);
emax.TeV(100.0);
ebounds.setlog(emin, emax, nebins);
// Setup event cube centered on Cen A
GCTAEventCube cube(map, ebounds, gti);
// Setup dummy CTA observation
GCTAObservation obs;
obs.ontime(1800.0);
obs.livetime(1600.0);
obs.deadc(1600.0/1800.0);
obs.response(cta_irf, cta_caldb);
obs.events(&cube);
obs.pointing(pnt);
// Load model for IRF computation
GModels models(cta_rsp_xml);
// Reset sum
double sum = 0.0;
// Iterate over all bins in event cube
for (int i = 0; i < obs.events()->size(); ++i) {
// Get event pointer
const GEventBin* bin = (*(static_cast<const GEventCube*>(obs.events())))[i];
// Get model and add to sum
double model = obs.model(models, *bin, NULL) * bin->size();
sum += model;
}
// Test sum
test_value(sum, ref, 1.0e-5, "Diffuse IRF computation");
// Return
return;
}
/***********************************************************************//**
* @brief Simulate event data
*
* This method runs the simulation. Results are not saved by this method.
* Invoke "save" to save the results.
***************************************************************************/
void ctobssim::run(void)
{
// Switch screen logging on in debug mode
if (logDebug()) {
log.cout(true);
}
// Get parameters
get_parameters();
// Write input parameters into logger
if (logTerse()) {
log_parameters();
log << std::endl;
}
// Special mode: if read ahead is specified we know that we called
// the execute() method, hence files are saved immediately and event
// lists are disposed afterwards.
if (read_ahead()) {
m_save_and_dispose = true;
}
// Determine the number of valid CTA observations, set energy dispersion flag
// for all CTA observations and save old values in save_edisp vector
int n_observations = 0;
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);
n_observations++;
}
}
// If more than a single observation has been handled then make sure that
// an XML file will be used for storage
if (n_observations > 1) {
m_use_xml = true;
}
// Write execution mode into logger
if (logTerse()) {
log << std::endl;
log.header1("Execution mode");
log << gammalib::parformat("Event list management");
if (m_save_and_dispose) {
log << "Save and dispose (reduces memory needs)" << std::endl;
}
else {
log << "Keep events in memory" << std::endl;
}
log << gammalib::parformat("Output format");
if (m_use_xml) {
log << "Write Observation Definition XML file" << std::endl;
}
else {
log << "Write single event list FITS file" << std::endl;
}
}
// Write seed values into logger
if (logTerse()) {
log << std::endl;
log.header1("Seed values");
for (int i = 0; i < m_rans.size(); ++i) {
log << gammalib::parformat("Seed "+gammalib::str(i));
log << gammalib::str(m_rans[i].seed()) << std::endl;
}
}
// 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 header
if (logTerse()) {
log << std::endl;
if (m_obs.size() > 1) {
log.header1("Simulate observations");
}
else {
log.header1("Simulate observation");
}
}
// From here on the code can be parallelized if OpenMP support
// is enabled. The code in the following block corresponds to the
// code that will be executed in each thread
#pragma omp parallel
{
// Each thread will have it's own logger to avoid conflicts
GLog wrklog;
if (logDebug()) {
wrklog.cout(true);
}
// Allocate and initialize copies for multi-threading
GModels models(m_obs.models());
// Copy configuration from application logger to thread logger
wrklog.date(log.date());
wrklog.name(log.name());
// Set a big value to avoid flushing
wrklog.max_size(10000000);
// Loop over all observation in the container. If OpenMP support
// is enabled, this loop will be parallelized.
#pragma omp for
for (int i = 0; i < m_obs.size(); ++i) {
// Get pointer on CTA observation
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[i]);
// Continue only if observation is a CTA observation
if (obs != NULL) {
// Write header for observation
if (logTerse()) {
if (obs->name().length() > 1) {
wrklog.header3("Observation "+obs->name());
}
else {
wrklog.header3("Observation");
}
}
// Work on a clone of the CTA observation. This makes sure that
// any memory allocated for computing (for example a response
// cache) is properly de-allocated on exit of this run
GCTAObservation obs_clone = *obs;
// Save number of events before entering simulation
int events_before = obs_clone.events()->size();
// Simulate source events
simulate_source(&obs_clone, models, m_rans[i], &wrklog);
// Simulate source events
simulate_background(&obs_clone, models, m_rans[i], &wrklog);
// Dump simulation results
if (logNormal()) {
wrklog << gammalib::parformat("MC events");
wrklog << obs_clone.events()->size() - events_before;
wrklog << " (all models)";
wrklog << std::endl;
}
// Append the event list to the original observation
obs->events(*(obs_clone.events()));
// If requested, event lists are saved immediately
if (m_save_and_dispose) {
// Set event output file name. If multiple observations are
// handled, build the filename from prefix and observation
// index. Otherwise use the outfile parameter.
std::string outfile;
if (m_use_xml) {
m_prefix = (*this)["prefix"].string();
outfile = m_prefix + gammalib::str(i) + ".fits";
}
else {
outfile = (*this)["outevents"].filename();
}
// Store output file name in original observation
obs->eventfile(outfile);
// Save observation into FITS file. This is a critical zone
// to avoid multiple threads writing simultaneously
#pragma omp critical
{
obs_clone.save(outfile, clobber());
}
// Dispose events
obs->dispose_events();
}
// ... otherwise append the event list to the original observation
/*
else {
obs->events(*(obs_clone.events()));
}
*/
} // endif: CTA observation found
} // endfor: looped over observations
// At the end, the content of the thread logger is added to
// the application logger
#pragma omp critical (log)
{
log << wrklog;
}
} // end pragma omp parallel
// 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;
}
/***********************************************************************//**
* @brief Simulate event data
*
* This method runs the simulation. Results are not saved by this method.
* Invoke "save" to save the results.
***************************************************************************/
void ctobssim::run(void)
{
// Switch screen logging on in debug mode
if (logDebug()) {
log.cout(true);
}
// Get parameters
get_parameters();
// Write input parameters into logger
if (logTerse()) {
log_parameters();
log << std::endl;
}
// Write seed values into logger
if (logTerse()) {
log << std::endl;
log.header1("Seed values");
for (int i = 0; i < m_rans.size(); ++i) {
log << gammalib::parformat("Seed "+gammalib::str(i));
log << gammalib::str(m_rans[i].seed()) << std::endl;
}
}
// 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 header
if (logTerse()) {
log << std::endl;
if (m_obs.size() > 1) {
log.header1("Simulate observations");
}
else {
log.header1("Simulate observation");
}
}
// Initialise counters
int n_observations = 0;
// From here on the code can be parallelized if OpenMP support
// is enabled. The code in the following block corresponds to the
// code that will be executed in each thread
#pragma omp parallel
{
// Each thread will have it's own logger to avoid conflicts
GLog wrklog;
if (logDebug()) {
wrklog.cout(true);
}
// Copy configuration from application logger to thread logger
wrklog.date(log.date());
wrklog.name(log.name());
// Set a big value to avoid flushing
wrklog.max_size(10000000);
// Loop over all observation in the container. If OpenMP support
// is enabled, this looped will be parallelized.
#pragma omp for
for (int i = 0; i < m_obs.size(); ++i) {
// Get CTA observation
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[i]);
// Continue only if observation is a CTA observation
if (obs != NULL) {
// Write header for observation
if (logTerse()) {
if (obs->name().length() > 1) {
wrklog.header3("Observation "+obs->name());
}
else {
wrklog.header3("Observation");
}
}
// Increment counter
n_observations++;
// Save number of events before entering simulation
int events_before = obs->events()->size();
// Simulate source events
simulate_source(obs, m_obs.models(), m_rans[i], &wrklog);
// Simulate source events
simulate_background(obs, m_obs.models(), m_rans[i], &wrklog);
// Dump simulation results
if (logNormal()) {
wrklog << gammalib::parformat("MC events");
wrklog << obs->events()->size() - events_before;
wrklog << " (all models)";
wrklog << std::endl;
}
} // endif: CTA observation found
} // endfor: looped over observations
// At the end, the content of the thread logger is added to
// the application logger
#pragma omp critical (log)
{
log << wrklog;
}
} // end pragma omp parallel
// If more than a single observation has been handled then make sure that
// an XML file will be used for storage
if (n_observations > 1) {
m_use_xml = true;
}
// Return
return;
}
/***********************************************************************//**
* @brief Setup observation container
*
* @exception GException::no_cube
* No event cube found in CTA observation.
*
* This method sets up the observation container for processing. There are
* two cases:
*
* If there are no observations in the actual observation container, the
* method will check in "infile" parameter. If this parameter is "NONE" or
* empty, the task parameters will be used to construct a model map.
* Otherwise, the method first tries to interpret the "infile" parameter as
* a counts map, and attemps loading of the file in an event cube. If this
* fails, the method tries to interpret the "infile" parameter as an
* observation definition XML file. If this also fails, an exception will
* be thrown.
*
* If observations exist already in the observation container, the method
* will simply keep them.
*
* Test if all CTA observations contain counts maps.
*
* Finally, if no models exist so far in the observation container, the
* models will be loaded from the model XML file.
***************************************************************************/
void ctmodel::setup_obs(void)
{
// If there are no observations in the container then try to build some
if (m_obs.size() == 0) {
// If no input filename has been specified, then create a model map
// from the task parameters
if ((m_infile == "NONE") || (gammalib::strip_whitespace(m_infile) == "")) {
// Set pointing direction
GCTAPointing pnt;
GSkyDir skydir;
skydir.radec_deg(m_ra, m_dec);
pnt.dir(skydir);
// Setup energy range covered by model
GEnergy emin(m_emin, "TeV");
GEnergy emax(m_emax, "TeV");
GEbounds ebds(m_enumbins, emin, emax);
// Setup time interval covered by model
GGti gti;
GTime tmin(m_tmin);
GTime tmax(m_tmax);
gti.append(tmin, tmax);
// Setup skymap
GSkymap map = GSkymap(m_proj, m_coordsys,
m_xref, m_yref, -m_binsz, m_binsz,
m_nxpix, m_nypix, m_enumbins);
// Create model cube from sky map
GCTAEventCube cube(map, ebds, gti);
// Allocate CTA observation
GCTAObservation obs;
// Set CTA observation attributes
obs.pointing(pnt);
obs.ontime(gti.ontime());
obs.livetime(gti.ontime()*m_deadc);
obs.deadc(m_deadc);
// Set event cube in observation
obs.events(cube);
// Append CTA observation to container
m_obs.append(obs);
// Signal that no XML file should be used for storage
m_use_xml = false;
} // endif: created model map from task parameters
// ... otherwise try to load information from the file
else {
// First try to open the file as a counts map
try {
// Allocate CTA observation
GCTAObservation obs;
// Load counts map in CTA observation
obs.load_binned(m_infile);
// Append CTA observation to container
m_obs.append(obs);
// Signal that no XML file should be used for storage
m_use_xml = false;
}
// ... otherwise try to open as XML file
catch (GException::fits_open_error &e) {
// Load observations from XML file. This will throw
// an exception if it fails.
m_obs.load(m_infile);
// Signal that XML file should be used for storage
m_use_xml = true;
}
} // endelse: loaded information from input file
} // endif: there was no observation in the container
// If there are no models associated with the observations then
// load now the model definition from the XML file
if (m_obs.models().size() == 0) {
m_obs.models(GModels(m_srcmdl));
}
// Check if all CTA observations contain an event cube and setup response
// for all observations
for (int i = 0; i < m_obs.size(); ++i) {
// Is this observation a CTA observation?
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[i]);
// Yes ...
if (obs != NULL) {
// Throw an exception if this observation does not contain
// an event cube
if (dynamic_cast<const GCTAEventCube*>(obs->events()) == NULL) {
throw GException::no_cube(G_SETUP_OBS);
}
// Set response if it isn't set already
if (obs->response().aeff() == NULL) {
// Set calibration database. If specified parameter is a
// directory then use this as the pathname to the calibration
// database. Otherwise interpret this as the instrument name,
// the mission being "cta"
GCaldb caldb;
if (gammalib::dir_exists(m_caldb)) {
caldb.rootdir(m_caldb);
}
else {
caldb.open("cta", m_caldb);
}
// Set reponse
obs->response(m_irf, caldb);
} // endif: observation already has a response
} // endif: observation was a CTA observation
} // endfor: looped over all observations
// Return
return;
}
/***********************************************************************//**
* @brief Create output observation container.
*
* Creates an output observation container that combines all input CTA
* observation into a single cube-style observation. All non CTA observations
* present in the observation container are kept. The method furthermore
* conserves any response information in case that a single CTA observation
* is provided. This supports the original binned analysis.
***************************************************************************/
void ctbin::obs_cube(void)
{
// If we have only a single CTA observation in the container, then
// keep that observation and just attach the event cube to it. Reset
// the filename, otherwise we still will have the old event filename
// in the log file.
if (m_obs.size() == 1) {
// Attach event cube to CTA observation
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[0]);
if (obs != NULL) {
obs->events(this->cube());
obs->eventfile("");
}
}
// ... otherwise put a single CTA observation in container
else {
// Allocate observation container
GObservations container;
// Allocate CTA observation.
GCTAObservation obs;
// Attach event cube to CTA observation
obs.events(this->cube());
// Set map centre as pointing
GSkyPixel pixel(0.5*double(m_cube.nx()), 0.5*double(m_cube.ny()));
GSkyDir centre = m_cube.pix2dir(pixel);
GCTAPointing pointing(centre);
// Compute deadtime correction
double deadc = (m_ontime > 0.0) ? m_livetime / m_ontime : 0.0;
// Set CTA observation attributes
obs.pointing(pointing);
obs.obs_id(0);
obs.ra_obj(centre.ra_deg()); //!< Dummy
obs.dec_obj(centre.dec_deg()); //!< Dummy
obs.ontime(m_ontime);
obs.livetime(m_livetime);
obs.deadc(deadc);
// Set models in observation container
container.models(m_obs.models());
// Append CTA observation
container.append(obs);
// Copy over all remaining non-CTA observations
for (int i = 0; i < m_obs.size(); ++i) {
GCTAObservation* obs = dynamic_cast<GCTAObservation*>(m_obs[i]);
if (obs == NULL) {
container.append(*m_obs[i]);
}
}
// Set observation container
m_obs = container;
} // endelse: there was not a single CTA observation
// Return
return;
}
/***********************************************************************//**
* @brief Get observation container
*
* Get an observation container according to the user parameters. The method
* supports loading of a individual FITS file or an observation definition
* file in XML format.
*
* If the input filename is empty, the method checks for the existence of the
* "expcube", "psfcube" and "bkgcube" parameters. If file names have been
* specified, the method loads the files and creates a dummy events cube that
* is appended to the observation container.
*
* If no file names are specified for the "expcube", "psfcube" or "bkgcube"
* parameters, the method reads the necessary parameters to build a CTA
* observation from scratch.
*
* The method sets m_append_cube = true and m_binned = true in case that
* a stacked observation is requested (as detected by the presence of the
* "expcube", "psfcube", and "bkgcube" parameters). In that case, it appended
* a dummy event cube to the observation.
***************************************************************************/
void ctmodel::get_obs(void)
{
// Get the filename from the input parameters
std::string filename = (*this)["inobs"].filename();
// If no observation definition file has been specified then read all
// parameters that are necessary to create an observation from scratch
if ((filename == "NONE") || (gammalib::strip_whitespace(filename) == "")) {
// Get response cube filenames
std::string expcube = (*this)["expcube"].filename();
std::string psfcube = (*this)["psfcube"].filename();
std::string bkgcube = (*this)["bkgcube"].filename();
// If the filenames are valid then build an observation from cube
// response information
if ((expcube != "NONE") && (psfcube != "NONE") && (bkgcube != "NONE") &&
(gammalib::strip_whitespace(expcube) != "") &&
(gammalib::strip_whitespace(psfcube) != "") &&
(gammalib::strip_whitespace(bkgcube) != "")) {
// Get exposure, PSF and background cubes
GCTACubeExposure exposure(expcube);
GCTACubePsf psf(psfcube);
GCTACubeBackground background(bkgcube);
// Create energy boundaries
GEbounds ebounds = create_ebounds();
// Create dummy sky map cube
GSkyMap map("CAR","GAL",0.0,0.0,1.0,1.0,1,1,ebounds.size());
// Create event cube
GCTAEventCube cube(map, ebounds, exposure.gti());
// Create CTA observation
GCTAObservation cta;
cta.events(cube);
cta.response(exposure, psf, background);
// Append observation to container
m_obs.append(cta);
// Signal that we are in binned mode
m_binned = true;
// Signal that we appended a cube
m_append_cube = true;
} // endif: cube response information was available
// ... otherwise build an observation from IRF response information
else {
// Create CTA observation
GCTAObservation cta = create_cta_obs();
// Set response
set_obs_response(&cta);
// Append observation to container
m_obs.append(cta);
}
} // endif: filename was "NONE" or ""
// ... otherwise we have a file name
else {
// If file is a FITS file then create an empty CTA observation
// and load file into observation
if (gammalib::is_fits(filename)) {
// Allocate empty CTA observation
GCTAObservation cta;
// Load data
cta.load(filename);
// Set response
set_obs_response(&cta);
// Append observation to container
m_obs.append(cta);
// Signal that no XML file should be used for storage
m_use_xml = false;
}
// ... otherwise load file into observation container
else {
// Load observations from XML file
m_obs.load(filename);
// For all observations that have no response, set the response
// from the task parameters
set_response(m_obs);
// Set observation boundary parameters (emin, emax, rad)
set_obs_bounds(m_obs);
// Signal that XML file should be used for storage
m_use_xml = true;
} // endelse: file was an XML file
}
// Return
return;
}
/***********************************************************************//**
* @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;
}
