/***************************************************************************
* ctlike - CTA maximum likelihood tool *
* ----------------------------------------------------------------------- *
* copyright (C) 2010-2013 by Juergen Knoedlseder *
* ----------------------------------------------------------------------- *
* *
* This program is free software: you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation, either version 3 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program. If not, see . *
* *
***************************************************************************/
/**
* @file ctlike.cpp
* @brief CTA maximum likelihood tool implementation
* @author Juergen Knoedlseder
*/
/* __ Includes ___________________________________________________________ */
#ifdef HAVE_CONFIG_H
#include
#endif
#include
#include "ctlike.hpp"
#include "GTools.hpp"
/* __ Method name definitions ____________________________________________ */
#define G_GET_PARAMETERS "ctlike::get_parameters()"
/* __ Debug definitions __________________________________________________ */
/* __ Coding definitions _________________________________________________ */
/*==========================================================================
= =
= Constructors/destructors =
= =
==========================================================================*/
/***********************************************************************//**
* @brief Void constructor
***************************************************************************/
ctlike::ctlike(void) : GApplication(CTLIKE_NAME, CTLIKE_VERSION)
{
// Initialise members
init_members();
// Write header into logger
log_header();
// Return
return;
}
/***********************************************************************//**
* @brief Observations constructor
*
* This method creates an instance of the class by copying an existing
* observations container.
***************************************************************************/
ctlike::ctlike(GObservations obs) : GApplication(CTLIKE_NAME, CTLIKE_VERSION)
{
// Initialise members
init_members();
// Set observations
m_obs = obs;
// Write header into logger
log_header();
// Return
return;
}
/***********************************************************************//**
* @brief Command line constructor
*
* @param[in] argc Number of arguments in command line.
* @param[in] argv Array of command line arguments.
***************************************************************************/
ctlike::ctlike(int argc, char *argv[]) :
GApplication(CTLIKE_NAME, CTLIKE_VERSION, argc, argv)
{
// Initialise members
init_members();
// Write header into logger
log_header();
// Return
return;
}
/***********************************************************************//**
* @brief Copy constructor
*
* @param[in] app Application.
***************************************************************************/
ctlike::ctlike(const ctlike& app) : GApplication(app)
{
// Initialise members
init_members();
// Copy members
copy_members(app);
// Return
return;
}
/***********************************************************************//**
* @brief Destructor
***************************************************************************/
ctlike::~ctlike(void)
{
// Free members
free_members();
// Return
return;
}
/*==========================================================================
= =
= Operators =
= =
==========================================================================*/
/***********************************************************************//**
* @brief Assignment operator
*
* @param[in] app Application.
***************************************************************************/
ctlike& ctlike::operator= (const ctlike& app)
{
// Execute only if object is not identical
if (this != &app) {
// Copy base class members
this->GApplication::operator=(app);
// Free members
free_members();
// Initialise members
init_members();
// Copy members
copy_members(app);
} // endif: object was not identical
// Return this object
return *this;
}
/*==========================================================================
= =
= Public methods =
= =
==========================================================================*/
/***********************************************************************//**
* @brief Clear instance
***************************************************************************/
void ctlike::clear(void)
{
// Free members
free_members();
this->GApplication::free_members();
// Initialise members
this->GApplication::init_members();
init_members();
// Return
return;
}
/***********************************************************************//**
* @brief Execute application
*
* This method performs a maximum likelihood analysis of a observation given
* in an observation container and saves the results in an XML file.
***************************************************************************/
void ctlike::execute(void)
{
// Signal that some parameters should be read ahead
m_read_ahead = true;
// Bin the event data
run();
// Save the results into XML file
save();
// Return
return;
}
/***********************************************************************//**
* @brief Run maximum likelihood analysis
*
* The following analysis steps are performed:
* 1. Read the parameters (and write them into logger)
* 2. Load observation
* 3. Setup models for optimizing
* 4. Optimize model (and write result into logger)
***************************************************************************/
void ctlike::run(void)
{
// Switch screen logging on in debug mode
if (logDebug()) {
log.cout(true);
}
// Get parameters
get_parameters();
// Write parameters into logger
if (logTerse()) {
log_parameters();
log << 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;
}
// Optimize model parameters using LM optimizer
optimize_lm();
// Compute number of observed events in all observations
double num_events = 0.0;
for (int i = 0; i < m_obs.size(); ++i) {
num_events += m_obs[i]->events()->number();
}
// Write results into logger
if (logTerse()) {
log << parformat("Maximum log likelihood") << m_logL << std::endl;
log << parformat("Observed events (Nobs)") << num_events << std::endl;
log << parformat("Predicted events (Npred)") << m_obs.npred();
log << " (Nobs - Npred = " << num_events-m_obs.npred();
log << ")" << std::endl;
log << m_obs.models() << std::endl;
}
// Return
return;
}
/***********************************************************************//**
* @brief Save results
*
* This method saves the fit results in a XML file.
***************************************************************************/
void ctlike::save(void)
{
// Write header
if (logTerse()) {
log << std::endl;
log.header1("Save results");
}
// Get output filename
m_outmdl = (*this)["outmdl"].filename();
// Write results out as XML model
if (toupper(m_outmdl) != "NONE") {
m_obs.models().save(m_outmdl);
}
// Return
return;
}
/***********************************************************************//**
* @brief Get application parameters
*
* Get all required task parameters from the parameter file or (if specified)
* by querying the user. Observation dependent parameters will only be read
* if the observation container is actually empty. Observation dependent
* parameters are:
* "stat" (statistics to be used for observation),
* "caldb" (calibration database),
* "irf" (instrument response function), and
* "infile" (input file name).
* The model will only be loaded if no model components exist in the
* observation container.
*
* This method handles both loading of FITS files and of handling XML
* observation definition files.
***************************************************************************/
void ctlike::get_parameters(void)
{
// If there are no observations in container then add a single CTA
// observation using the parameters from the parameter file
if (m_obs.size() == 0) {
// Allocate CTA observation
GCTAObservation obs;
// Get event file name
std::string filename = (*this)["infile"].filename();
// Try first to open as unbinned FITS file
try {
// Determine whether FITS file has EVENTS extension
GFits file(filename);
bool is_unbinned = file.hashdu("EVENTS");
file.close();
// If FITS file has an events header then load as unbinned
if (is_unbinned) {
obs.load_unbinned(filename);
}
// ... otherwise load as binned
else {
obs.load_binned(filename);
}
// Get task parameters for event file loading
m_stat = toupper((*this)["stat"].string());
m_caldb = (*this)["caldb"].string();
m_irf = (*this)["irf"].string();
// Set statistics
obs.statistics(m_stat);
// Set reponse
obs.response(m_irf, m_caldb);
// Append observation to container
m_obs.append(obs);
}
// ... otherwise try to open as XML file
catch (GException::fits_open_error &e) {
// Load observations from XML file
m_obs.load(filename);
}
} // endif: there was no observation in the container
// If there is are no models associated with the observations then
// load now the model definition
if (m_obs.models().size() == 0) {
// Get models XML filename
std::string filename = (*this)["srcmdl"].filename();
// Setup models for optimizing.
m_obs.models(GModels(filename));
} // endif: no models were associated with observations
// Get standard parameters
m_refit = (*this)["refit"].boolean();
// Optionally read ahead parameters so that they get correctly
// dumped into the log file
if (m_read_ahead) {
m_outmdl = (*this)["outmdl"].filename();
}
// Return
return;
}
/***********************************************************************//**
* @brief Optimize model parameters using Levenberg-Marquardt method
***************************************************************************/
void ctlike::optimize_lm(void)
{
// Free any existing optimizer
if (m_opt != NULL) delete m_opt;
m_opt = NULL;
// Allocate optimizer. The logger is only passed to the optimizer
// constructor if optimizer logging is requested.
GOptimizerLM* opt = (logTerse()) ? new GOptimizerLM(log)
: new GOptimizerLM();
// Assign optimizer
m_opt = opt;
// Set optimizer parameters
opt->max_iter(m_max_iter);
opt->max_stalls(m_max_stall);
// Write Header for optimization and indent for optimizer logging
if (logTerse()) {
log << std::endl;
log.header1("Maximum likelihood optimisation");
log.indent(1);
}
// Perform LM optimization
m_obs.optimize(*opt);
// Optionally refit
if (m_refit) {
m_obs.optimize(*opt);
}
// Store maximum log likelihood value
m_logL = -(opt->value());
// Write optimization results
log.indent(0);
if (logTerse()) {
log << std::endl;
log.header1("Maximum likelihood optimization results");
log << *opt << std::endl;
}
// Return
return;
}
/*==========================================================================
= =
= Private methods =
= =
==========================================================================*/
/***********************************************************************//**
* @brief Initialise class members
***************************************************************************/
void ctlike::init_members(void)
{
// Initialise members
m_stat.clear();
m_caldb.clear();
m_irf.clear();
m_outmdl.clear();
m_obs.clear();
m_refit = false;
m_max_iter = 100; // Set maximum number of iterations
m_max_stall = 10; // Set maximum number of stalls
m_logL = 0.0;
m_opt = NULL;
m_read_ahead = false;
// Set logger properties
log.date(true);
// Return
return;
}
/***********************************************************************//**
* @brief Copy class members
*
* @param[in] app Application.
***************************************************************************/
void ctlike::copy_members(const ctlike& app)
{
// Copy attributes
m_stat = app.m_stat;
m_refit = app.m_refit;
m_caldb = app.m_caldb;
m_irf = app.m_irf;
m_outmdl = app.m_outmdl;
m_obs = app.m_obs;
m_max_iter = app.m_max_iter;
m_max_stall = app.m_max_stall;
m_logL = app.m_logL;
m_opt = app.m_opt->clone();
m_read_ahead = app.m_read_ahead;
// Return
return;
}
/***********************************************************************//**
* @brief Delete class members
***************************************************************************/
void ctlike::free_members(void)
{
// Free members
if (m_opt != NULL) delete m_opt;
// Mark pointers as free
m_opt = NULL;
// Write separator into logger
if (logTerse()) {
log << std::endl;
}
// Return
return;
}