NcmFitMCResample ()

void
(*NcmFitMCResample) (NcmDataset *dset,
                     NcmMSet *mset,
                     NcmRNG *rng);

ncm_fit_mc_new ()

NcmFitMC *
ncm_fit_mc_new (NcmFit *fit,
                NcmFitMCResampleType rtype,
                NcmFitRunMsgs mtype);

Creates a new NcmFitMC object with the fit object fit , the resample type rtype and the run messages type mtype .

ncm_fit_mc_free ()

void
ncm_fit_mc_free (NcmFitMC *mc);

Decrement the reference count atomically by one. If the reference count reaches zero, all memory allocated by the object is released and the object is freed.

ncm_fit_mc_clear ()

void
ncm_fit_mc_clear (NcmFitMC **mc);

When this function is invoked, it first checks whether *mc is not NULL. If *mc is not NULL, the function reduces the reference count of *mc by one. If the reference count reaches zero, all memory allocated by the object is released, the object is freed, and *mc is set to NULL.

ncm_fit_mc_set_data_file ()

void
ncm_fit_mc_set_data_file (NcmFitMC *mc,
                          const gchar *filename);

Sets the data file to be used by the NcmMSetCatalog object of mc .

ncm_fit_mc_set_mtype ()

void
ncm_fit_mc_set_mtype (NcmFitMC *mc,
                      NcmFitRunMsgs mtype);

Sets the run messages type of mc to mtype .

ncm_fit_mc_set_rtype ()

void
ncm_fit_mc_set_rtype (NcmFitMC *mc,
                      NcmFitMCResampleType rtype);

Sets the resample type of mc to rtype .

ncm_fit_mc_set_nthreads ()

void
ncm_fit_mc_set_nthreads (NcmFitMC *mc,
                         guint nthreads);

Sets the number of threads to be used by mc to nthreads .

ncm_fit_mc_keep_order ()

void
ncm_fit_mc_keep_order (NcmFitMC *mc,
                       gboolean keep_order);

Sets whether keep the catalog in order of sampling. When performing parallel runs, the catalog is not kept in order of sampling. This is done to avoid the overhead of locking the catalog. If you want to keep the catalog in order of sampling, set this property to TRUE.

ncm_fit_mc_set_fiducial ()

void
ncm_fit_mc_set_fiducial (NcmFitMC *mc,
                         NcmMSet *fiduc);

Sets the fiducial model of mc to fiduc . If fiduc is NULL, the fiducial model is set to the model set of the fit object of mc . If fiduc is not NULL, the fiducial model is set to fiduc . If fiduc is not NULL, it must be equal to the model set of the fit object of mc .

Note that in the end of an analysis, the NcmMSet in mc will be equal to the last sampled model set.

ncm_fit_mc_set_rng ()

void
ncm_fit_mc_set_rng (NcmFitMC *mc,
                    NcmRNG *rng);

Sets the RNG object of mc to rng .

ncm_fit_mc_is_running ()

gboolean
ncm_fit_mc_is_running (NcmFitMC *mc);

Checks whether a run is running, that is whether ncm_fit_mc_start_run() was called and ncm_fit_mc_end_run() was not called yet.

ncm_fit_mc_start_run ()

void
ncm_fit_mc_start_run (NcmFitMC *mc);

Starts a Monte Carlo run. This function will start a Monte Carlo run using the NcmFit object and the NcmMSet object of mc .

This method will not compute the any likelihood. It will only start the run. To compute samples, call ncm_fit_mc_run() or ncm_fit_mc_run_lre() after this function.

To finish the run, call ncm_fit_mc_end_run().

ncm_fit_mc_end_run ()

void
ncm_fit_mc_end_run (NcmFitMC *mc);

Ends a Monte Carlo run. This function will end a Monte Carlo run using the NcmFit object and the NcmMSet object of mc .

ncm_fit_mc_reset ()

void
ncm_fit_mc_reset (NcmFitMC *mc);

Resets the Monte Carlo run. This function will reset the Monte Carlo run erase all samples and reset the catalog.

ncm_fit_mc_set_first_sample_id ()

void
ncm_fit_mc_set_first_sample_id (NcmFitMC *mc,
                                gint first_sample_id);

Sets the first sample id of the Monte Carlo run to first_sample_id . This function will skip all samples until it reaches the first_sample_id .

ncm_fit_mc_run ()

void
ncm_fit_mc_run (NcmFitMC *mc,
                guint n);

Runs the Monte Carlo until it reaches the n -th realization. Note that if the first_id is non-zero it will run n - first_id realizations.

ncm_fit_mc_run_lre ()

void
ncm_fit_mc_run_lre (NcmFitMC *mc,
                    guint prerun,
                    gdouble lre);

Runs the Monte Carlo until the largest relative error considering the erros on the parameter means is less than lre .

ncm_fit_mc_mean_covar ()

void
ncm_fit_mc_mean_covar (NcmFitMC *mc);

Computes the mean and covariance of the Monte Carlo run. The mean and covariance are stored in the NcmFit object of mc . The mean is stored in the NcmFitState object of the NcmFit object and in the NcmMSetCatalog object of mc .

ncm_fit_mc_get_catalog ()

NcmMSetCatalog *
ncm_fit_mc_get_catalog (NcmFitMC *mc);

Gets the generated catalog of mc .

ncm_fit_mc_peek_catalog ()

NcmMSetCatalog *
ncm_fit_mc_peek_catalog (NcmFitMC *mc);

Peeks the generated catalog of mc .

NCM_TYPE_FIT_MC

#define NCM_TYPE_FIT_MC (ncm_fit_mc_get_type ())

enum NcmFitMCResampleType

Montecarlo resample options

NCM_FIT_MC_MIN_SYNC_INTERVAL

#define NCM_FIT_MC_MIN_SYNC_INTERVAL (10.0)

NcmFitMC

typedef struct _NcmFitMC NcmFitMC;

The “fiducial” property

  “fiducial”                 NcmMSet *

Fiducial model to sample from.

Owner: NcmFitMC

Flags: Read / Write / Construct

The “fit” property

  “fit”                      NcmFit *

Fit object.

Owner: NcmFitMC

Flags: Read / Write / Construct Only

The “keep-order” property

  “keep-order”               gboolean

Whether keep the catalog in order of sampling.

Owner: NcmFitMC

Flags: Read / Write / Construct

Default value: TRUE

The “mtype” property

  “mtype”                    NcmFitRunMsgs

Run messages type.

Owner: NcmFitMC

Flags: Read / Write

Default value: NCM_FIT_RUN_MSGS_SIMPLE

The “nthreads” property

  “nthreads”                 guint

Number of threads to run.

Owner: NcmFitMC

Flags: Read / Write

Allowed values: <= 100

Default value: 0

The “rtype” property

  “rtype”                    NcmFitMCResampleType

Monte Carlo run type.

Owner: NcmFitMC

Flags: Read / Write / Construct

Default value: NCM_FIT_MC_RESAMPLE_FROM_MODEL