class Gambit::PolyChord_1_18_2::LogLikeWrapper #

Class to connect PolyChord log-likelihood function and ScannerBit likelihood function.

#include <polychord.hpp>

Public Functions #

Public Attributes #

Public Functions Documentation #

function LogLikeWrapper #

LogLikeWrapper(
    scanPtr loglike,
    printer_interface & printer
)

Constructor.

LogLikeWrapper Constructor.

function LogLike #

double LogLike(
    double * Cube,
    int ndim,
    double * phi,
    int nderived
)

Main interface function from PolyChord to ScannerBit-supplied loglikelihood function.

Main interface function from PolyChord to ScannerBit-supplied loglikelihood function This is the function that will be passed to PolyChord as the loglike callback routine

Input arguments ndim = dimensionality (total number of free parameters) of the problem nderived = total number of derived parameters Cube[ndim] = ndim parameters

Output arguments phi[nderived] = nderived devired parameters lnew = loglikelihood

function dumper #

void dumper(
    int ndead,
    int nlive,
    int npars,
    double * live,
    double * dead,
    double * logweights,
    double ,
    double 
)

Main interface to PolyChord dumper routine

Main interface to PolyChord dumper routine The dumper routine will be called every time the live points compress by a factor compression_factor PolyChord does not need to the user to do anything. User can use the arguments in whichever way they want

Arguments:

ndead = total number of discarded points for posterior usage nlive = total number of live points nPar = total number of parameters + 2 (free + derived + 2) live[nlivenpars] = 2D array containing the last set of live points (physical parameters plus derived parameters + birth contour + death contour) dead[ndeadnpars] = posterior distribution containing nSamples points. Each sample has nPar parameters (physical + derived) along with the their loglike value & posterior probability logweights[ndead] = log of posterior weighting of dead points. Use this to turn them into posterior weighted samples logZ = log evidence value logZerr = error on log evidence value

Public Attributes Documentation #

variable index_map #

std::unordered_map< std::string, int > index_map;

variable derived_index_map #

std::unordered_map< std::string, int > derived_index_map;

variable boundSettings #

Settings boundSettings;

copy of the settings in use.

variable printer_speed_threshold #

int printer_speed_threshold = -1;

Disable printing for speeds greater and equal than Speeds start at 0 A value of -1 means that all evaluations are printed

Updated on 2024-07-18 at 13:53:31 +0000