KaliVeda
Toolkit for HIC analysis
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Tools for estimating impact parameter distributions for experimental data.
Classes | |
class | KVImpactParameters::algebraic_fitting_function |
Algebraic relationship between mean value of observable and centrality. More... | |
class | KVImpactParameters::bayesian_estimator< FittingFunction, FluctuationKernel > |
Impact parameter distribution reconstruction from experimental data. More... | |
class | KVImpactParameters::BD_kernel |
Fluctuation kernel using binomial distribution for use with bayesian_estimator. More... | |
class | KVImpactParameters::cavata_prescription |
Impact parameter estimation neglecting using sharp cut-off approximation. More... | |
class | KVImpactParameters::gamma_kernel |
Fluctuation kernel using gamma distribution for use with bayesian_estimator. More... | |
class | KVImpactParameters::impact_parameter_distribution |
Class implementing parametrizable impact parameter distributions. More... | |
class | KVImpactParameters::NBD_kernel |
Fluctuation kernel using negative binomial distribution for use with bayesian_estimator. More... | |
class | KVImpactParameters::participant_spectator_model |
Formulae for participant-spectator model. More... | |
class | KVImpactParameters::rogly_fitting_function< PolyDegree > |
Exponential function relating mean value of observable to centrality. More... | |