/usr/include/ThePEG/Handlers/ACDCSampler.h is in libthepeg-dev 1.8.0-3build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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//
// ACDCSampler.h is a part of ThePEG - Toolkit for HEP Event Generation
// Copyright (C) 1999-2011 Leif Lonnblad
//
// ThePEG is licenced under version 2 of the GPL, see COPYING for details.
// Please respect the MCnet academic guidelines, see GUIDELINES for details.
//
#ifndef ThePEG_ACDCSampler_H
#define ThePEG_ACDCSampler_H
// This is the declaration of the ACDCSampler class.
#include "ThePEG/Handlers/SamplerBase.h"
#include "ThePEG/ACDC/ACDCGen.h"
#include "ThePEG/Handlers/StandardEventHandler.h"
#include "ThePEG/Repository/RandomGenerator.h"
#include "ThePEG/Repository/UseRandom.h"
#include "ThePEG/Utilities/SimplePhaseSpace.xh"
// #include "ACDCSampler.fh"
// #include "ACDCSampler.xh"
namespace ThePEG {
/**
* This class inherits from SampleBase and implements
* the Auto Compensating Divide-and-Conquer phase space generator,
* ACDCGen.
*
* @see \ref ACDCSamplerInterfaces "The interfaces"
* defined for ACDCSampler.
* @see ACDCGen
*/
class ACDCSampler: public SamplerBase {
public:
/** Typedef the underlying ACDCGen class. */
typedef ACDCGenerator::ACDCGen<UseRandom,tStdEHPtr> SamplerType;
/** @name Standard constructors and destructors. */
//@{
/**
* The default constructor.
*/
ACDCSampler() : theEps(100*Constants::epsilon), theMargin(1.1), theNTry(1000) {}
/**
* The copy constructor. We don't copy theSampler.
*/
ACDCSampler(const ACDCSampler & x)
: SamplerBase(x), theSampler(),
theEps(x.theEps), theMargin(x.theMargin),
theNTry(x.theNTry) {}
/**
* The destructor.
*/
virtual ~ACDCSampler();
//@}
public:
/** @name Virtual functions needed for SamplerBase */
//@{
/**
* Initialize the the sampler, possibly doing presampling of the
* phase space.
*/
virtual void initialize();
/**
* Generarate a new phase space point and return a weight associated
* with it. This weight should preferably be 1.
*/
virtual double generate();
/**
* ACDCSampler is able to sample several different functions
* separately. This function returns the last chosen
* function.
*/
virtual int lastBin() const;
/**
* Reject the last chosen phase space point.
*/
virtual void rejectLast();
/**
* Return the total integrated cross section determined from the
* Monte Carlo sampling so far.
*/
virtual CrossSection integratedXSec() const;
/**
* Return the error on the total integrated cross section determined
* from the Monte Carlo sampling so far.
*/
virtual CrossSection integratedXSecErr() const;
/**
* Return the overestimated integrated cross section.
*/
virtual CrossSection maxXSec() const;
/**
* Return the sum of the weights returned by generate() so far (of
* the events that were not rejeted).
*/
virtual double sumWeights() const;
//@}
public:
/** @name Functions used by the persistent I/O system. */
//@{
/**
* Function used to write out object persistently.
* @param os the persistent output stream written to.
*/
void persistentOutput(PersistentOStream & os) const;
/**
* Function used to read in object persistently.
* @param is the persistent input stream read from.
* @param version the version number of the object when written.
*/
void persistentInput(PersistentIStream & is, int version);
//@}
/**
* The standard Init function used to initialize the interfaces.
* Called exactly once for each class by the class description system
* before the main function starts or
* when this class is dynamically loaded.
*/
static void Init();
protected:
/** @name Clone Methods. */
//@{
/**
* Make a simple clone of this object.
* @return a pointer to the new object.
*/
virtual IBPtr clone() const;
/** Make a clone of this object, possibly modifying the cloned object
* to make it sane.
* @return a pointer to the new object.
*/
virtual IBPtr fullclone() const;
//@}
protected:
/** @name Standard Interfaced functions. */
//@{
/**
* Initialize this object. Called in the run phase just before
* a run begins.
*/
virtual void doinitrun();
/**
* Finalize this object. Called in the run phase just after a
* run has ended. Used eg. to write out statistics.
*/
virtual void dofinish();
//@}
private:
/**
* The actual sampler object.
*/
SamplerType theSampler;
/**
* The smallest possible division allowed.
*/
double theEps;
/**
* The factor controlling the loss of efficiency when compensating.
*/
double theMargin;
/**
* The number of points to use to find initial average.
*/
int theNTry;
protected:
/** @cond EXCEPTIONCLASSES */
/** Exception class used by ACDCSampler if the undelying ACDCGen was
still in a compensating mode when the run was finished */
struct ACDCStillCompensating: public Exception {};
/** Exception class used by ACDCSampler if a StandardEventHandler
was not able to produce a non-zero cross section. */
struct EventInitNoXSec: public InitException {};
/** Exception class used if ACDCSampler was not able to produce a
phase space point within the maximum allowed number of
attempts. */
struct EventLoopException: public Exception {};
/** @endcond */
private:
/**
* Describe a concrete class with persistent data.
*/
static ClassDescription<ACDCSampler> initACDCSampler;
/**
* Private and non-existent assignment operator.
*/
ACDCSampler & operator=(const ACDCSampler &);
};
}
namespace ThePEG {
/** @cond TRAITSPECIALIZATIONS */
/**
* The following template specialization informs ThePEG about the
* base class of ACDCSampler.
*/
template <>
struct BaseClassTrait<ACDCSampler,1>: public ClassTraitsType {
/** Typedef of the first base class of ACDCSampler. */
typedef SamplerBase NthBase;
};
/**
* The following template specialization informs ThePEG about the
* name of this class and the shared object where it is defined.
*/
template <>
struct ClassTraits<ACDCSampler>: public ClassTraitsBase<ACDCSampler> {
/**
* Return the class name.
*/
static string className() { return "ThePEG::ACDCSampler"; }
/** Return the name of the shared library to be loaded to get
* access to this class and every other class it uses
* (except the base class).
*/
static string library() { return "ACDCSampler.so"; }
};
/** @endcond */
}
namespace ACDCGenerator {
/** @cond TRAITSPECIALIZATIONS */
/** Specialized Traits class to define the interface to the
* StandardEventHandler object to be sampled by ACDCGen.
*/
template <>
struct ACDCFncTraits<ThePEG::tStdEHPtr>: public ACDCTraitsType {
/** Convenient typdef. */
typedef ThePEG::tStdEHPtr tStdEHPtr;
/**
* Call a function to be sampled by ACDCGen.
* @return <code>(*f)(x)</code>.
*/
static inline double value(const tStdEHPtr & eh, const DVector & x) {
using namespace ThePEG::Units;
try {
return eh->dSigDR(x)/nanobarn;
}
catch ( ThePEG::ImpossibleKinematics & v ) {
breakThePEG();
}
catch ( std::exception & e ) {
breakThePEG();
}
catch ( ... ) {
breakThePEG();
}
return 0.0;
}
};
/** Specialized Traits class to inform ACDCGen how to use the
static UseRandom class. */
template <>
struct ACDCRandomTraits<ThePEG::UseRandom>: public ACDCTraitsType {
/** Convenient typedef. */
typedef ThePEG::UseRandom UseRandom;
/**
* Return a flat random number in the interval ]0,1[.
*/
static inline double rnd(UseRandom *) { return UseRandom::rnd(); }
/**
* Return a flat random number in the interval ]\a xl,\a xu[.
*/
static inline double rnd(UseRandom * r, double xl, double xu) {
return xl + (xu - xl)*rnd(r);
}
/**
* Generate a set of random numbers.
* @param r the random generator.
* @param l an input iterator giving the lower limit of the interval
* of the first requested random number.
* @param lend an input iterator marking the end of the range of
* requested random numbers.
* @param u an input iterator giving the upper limit of the interval
* of the first requested random number.
* @param res the ouput iterator used to output the random numbers.
*/
template <typename InputIterator, typename OutputIterator>
static inline void rnd(UseRandom * r,
InputIterator l, InputIterator lend,
InputIterator u, OutputIterator res) {
for ( ; l != lend; ++l ) *res++ = *l + (*u++ - *l)*rnd(r);
}
/**
* Generate \a D random numbers. The numbers are put into the
* OutputIterator \a res.
*/
template <typename OutputIterator>
static inline void rnd(UseRandom * r, int D, OutputIterator res) {
for ( int d = 0; d < D; ++d ) *res++ = rnd(r);
}
/**
* Return true with probability \a x.
*/
static inline bool rndBool(UseRandom, double x) {
return UseRandom::rndbool(x);
}
/**
* Return true with probability \a x(\a x + \a y).
*/
static inline bool rndBool(UseRandom *, double x, double y) {
return UseRandom::rndbool(x, y);
}
/**
* Return a random integer in the interval [0,\a x[.
*/
static inline long rndInt(UseRandom *, long x) {
return UseRandom::irnd(x);
}
};
/** @endcond */
}
#endif /* ThePEG_ACDCSampler_H */
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