Introduction

This page documents the contents of a result NetCDF file.

Dimensions

Dimension Description Code Reference

`maxnsteps`	The max number of reconstruction steps.	v3fit_input::nrstep
`ndparam`	Number of derived parameters.	v3fit_input::n_dp
`nparam`	Number of reconstruction parameters.	v3fit_input::n_rp
`nparamindex`	Number of parameter indices.	data_parameters::data_max_indices
`nsignal`	Number of constructed signals.	v3fit_context::v3fit_context_class::signals
`string_len`	Max lenth of strings.	data_parameters::data_name_length

Equilibrium dimensions change depending on the equilibrium used.

Variable(Dimensions) Description Code Reference

`nsteps`	Actual number of steps taken.	reconstruction::reconstruction_class::current_step
`g2 (maxnsteps)`	g^2 value for each reconstruction step.	reconstruction::reconstruction_get_g2

`derived_param_name (string_len, ndparam)`	Name of the derived parameter.	v3fit_params::param_get_name
`derived_param_index (nparamindex, ndparam)`	Indices of the derived parameter.	v3fit_params::param_class::indices
`derived_param_value (ndparam, maxnsteps)`	Parameter values for each derived step.	v3fit_params::param_get_value
`derived_param_sigma (ndparam, maxnsteps)`	Parameter sigmas for each derived step.	v3fit_params::param_class::sigma
`derived_param_corr (ndparam, ndparam, maxnsteps)`	Correlation matrix of the derived parameters	v3fit_params::param_class::correlation

`param_name (string_len, nparam)`	Name of the reconstruction parameter.	v3fit_params::param_get_name
`param_index (nparamindex, nparam)`	Indices of the reconstruction parameter.	v3fit_params::param_class::indices
`param_value (nparam, maxnsteps)`	Parameter values for each reconstruction step.	v3fit_params::param_get_value
`param_sigma (nparam, maxnsteps)`	Parameter sigmas for each reconstruction step.	v3fit_params::param_class::sigma
`param_corr (nparam, nparam, maxnsteps)`	Correlation matrix of the reconstruction parameters	v3fit_params::param_class::correlation
`signal_eff_matrix (nsignal, nparam, maxnsteps)`	Signal effectiveness for each reconstruction step.	v3fit_params::param_recon_class::sem

`signal_name (string_len, nsignal)`	Short name of the signal.	signal::signal_class::s_name
`signal_type (string_len, nsignal)`	Description of the signal.	signal::signal_get_type
`signal_weight (nsignal)`	Weight value of the signal.	signal::signal_class::weight
`signal_observed_value (nsignal)`	Observed value of the signal.	signal::signal_class::observed
`signal_model_value (nsignal, maxnsteps)`	Modeled value of the signal at each reconstruction step.	signal::signal_get_modeled_signal
`signal_sigma_value (nsignal, maxnsteps)`	Sigma value of the signal at each reconstruction step.	signal::signal_get_g2

Equilibrium variables change depending on the equilibrium used.