ctlike.cpp
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/***************************************************************************
* ctlike - CTA maximum likelihood tool *
* ----------------------------------------------------------------------- *
* copyright (C) 2010-2011 by Jurgen Knodlseder *
* ----------------------------------------------------------------------- *
* *
* 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 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
/**
* @file ctlike.cpp
* @brief CTA maximum likelihood tool implementation
* @author J. Knodlseder
*/
/* __ Includes ___________________________________________________________ */
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
#include <stdio.h>
#include "ctlike.hpp"
#include "GTools.hpp"
/*==========================================================================
= =
= 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 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 Destructor
***************************************************************************/
ctlike::~ctlike(void)
{
// Free members
free_members();
// Return
return;
}
/*==========================================================================
= =
= Operators =
= =
==========================================================================*/
/*==========================================================================
= =
= Public methods =
= =
==========================================================================*/
/***********************************************************************//**
* @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)
* 5. Write results out as XML model
***************************************************************************/
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;
}
// Load observation
if (m_method == "UNBINNED")
unbinned(m_evfile);
else
binned(m_cntmap);
// Write observation into logger
if (logTerse()) {
log << std::endl;
log.header1("Observation");
log << m_obs << std::endl;
}
// Setup models for optimizing.
m_models = GModels(m_srcmdl);
m_obs.models(m_models);
// Optimize
optimize_lm();
// Write results into logger
if (logTerse()) {
log << " Maximum log likelihood ....: " << m_logL << std::endl;
log << " Npred .....................: " << m_obs.npred() << std::endl;
log << m_models << std::endl << std::endl;
}
// Write results out as XML model
if (toupper(m_outmdl) != "NONE")
m_models.save(m_outmdl);
// Return
return;
}
/***********************************************************************//**
* @brief Get application parameters
*
* Get all task parameters from parameter file or (if required) by querying
* the user.
***************************************************************************/
void ctlike::get_parameters(void)
{
// Get standard parameters
m_method = toupper(par("method")->value());
m_stat = toupper(par("stat")->value());
m_refit = par("refit")->boolean();
m_caldb = par("caldb")->value();
m_irf = par("irf")->value();
m_srcmdl = par("srcmdl")->value();
m_outmdl = par("outmdl")->value();
// Get unbinned parameters ...
if (m_method == "UNBINNED") {
m_evfile = par("evfile")->value();
}
// ... or get binned parameters
else if (m_method == "BINNED") {
m_cntmap = par("cntmap")->value();
}
// Return
return;
}
/***********************************************************************//**
* @brief Optimize using Levenberg-Marquardt method
***************************************************************************/
void ctlike::optimize_lm(void)
{
// 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);
// 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(*m_opt);
// Optionally refit
if (m_refit)
m_obs.optimize(*m_opt);
// Get models back
m_models = *(m_obs.models());
// Store maximum log likelihood value
m_logL = -opt->value();
// Write optimization results
log.indent(0);
if (logTerse()) {
log << std::endl;
log.header1("Maximum likelihood optimisation results");
log << *opt << std::endl;
}
// Free optimizer
delete opt;
// Reset optimizer pointer
m_opt = NULL;
// Return
return;
}
/***********************************************************************//**
* @brief Load unbinned observation
*
* @param[in] evfile Events file name.
***************************************************************************/
void ctlike::unbinned(const std::string& evfile)
{
// Declare observations
GCTAObservation run;
run.statistics(m_stat);
// Load data and response and set ROI, energy range and time range
// for analysis
run.load_unbinned(evfile);
run.response(m_irf, m_caldb);
m_obs.append(run);
// Return
return;
}
/***********************************************************************//**
* @brief Load binned observation
*
* @param[in] cntmap Counts map file name.
***************************************************************************/
void ctlike::binned(const std::string& cntmap)
{
// Declare observations
GCTAObservation run;
run.statistics(m_stat);
// Load binned CTA observation
run.load_binned(cntmap);
// Set response
run.response(m_irf, m_caldb);
// Append observation to container
m_obs.append(run);
// Return
return;
}
/*==========================================================================
= =
= Private methods =
= =
==========================================================================*/
/***********************************************************************//**
* @brief Initialise class members
***************************************************************************/
void ctlike::init_members(void)
{
// Initialise members
m_method.clear();
m_caldb.clear();
m_irf.clear();
m_srcmdl.clear();
m_outmdl.clear();
m_models.clear();
m_obs.clear();
m_max_iter = 100;
m_logL = 0.0;
m_opt = NULL;
// Set logger properties
log.date(true);
// Return
return;
}
/***********************************************************************//**
* @brief Delete class members
***************************************************************************/
void ctlike::free_members(void)
{
// Free members
// Return
return;
}