namespace Gambit::ExampleBit_A #

[No description available]

Functions #

Attributes #

Functions Documentation #

function some_other_function #

double some_other_function(
    int & input
)

Some other example function.

function logf #

double logf(
    double x,
    double mu,
    double sig
)

Un-normalised gaussian log-likelihood.

function nevents_pred #

void nevents_pred(
    double & result
)

function nevents_like #

void nevents_like(
    double & result
)

function particle_identity #

void particle_identity(
    str & result
)

function nevents_pred_rounded #

void nevents_pred_rounded(
    int & result
)

function test_sigma #

void test_sigma(
    double & result
)

function function_pointer_retriever #

void function_pointer_retriever(
    double(*&)(int &) result
)

function example_damu #

void example_damu(
    double & result
)

Example of interacting with models.

function lnL_gaussian #

void lnL_gaussian(
    double & result
)

Likelihood function for fitting the population parameters of a normal distribution (with hard-coded “observations”) Mainly used for testing scanning algorthims

function eventLoopManager #

void eventLoopManager()

Run a fake ’event loop'.

function exampleEventGen #

void exampleEventGen(
    float & result
)

Produces a random floating-point ’event count’ between 0 and 5.

function exampleCut #

void exampleCut(
    int & result
)

Rounds an event count to the nearest integer.

function eventAccumulator #

void eventAccumulator(
    int & result
)

Adds an integral event count to a total number of accumulated events.

function do_Farray_stuff #

void do_Farray_stuff(
    double & result
)

function local_xsection #

void local_xsection(
    double & result
)

function large_print #

void large_print(
    std::map< std::string, double > & result
)

Scale test for various aspects of the printer buffer system Creates 1000 items to be printed per point

function marg_poisson_test #

void marg_poisson_test(
    double & result
)

Test inline marginalisation of a Poisson likelihood over a log-normally or Gaussianly-distributed nuisance parameter.

function Backend_array_test #

void Backend_array_test(
    double & result
)

Tester for C/C++ backend array interfaces.

function flat_likelihood #

void flat_likelihood(
    double & result
)

Flat test likelihood for checking prior distributions.

Attributes Documentation #

variable callback_pointer #

double(*)(int &, const double &) callback_pointer;

Pointer to some function.

Updated on 2023-06-26 at 21:36:52 +0000