Detailed Description

Calculate score based on fit to EM map.

Inheritance diagram for IMP::em::FitRestraint:

Public Member Functions
	FitRestraint (ParticlesTemp ps, DensityMap *em_map, FloatPair norm_factors=FloatPair(0., 0.), FloatKey weight_key=atom::Mass::get_mass_key(), float scale=1, bool use_rigid_bodies=true, KernelType kt=GAUSSIAN)
	Constructor.
SampledDensityMap *	get_model_dens_map () const
float	get_scale_factor () const
void	set_scale_factor (float scale)
Static Public Member Functions
static FitRestraint *	get_from (IMP::base::Object *o)

Constructor & Destructor Documentation

IMP::em::FitRestraint::FitRestraint	(	ParticlesTemp	ps,
		DensityMap *	em_map,
		FloatPair	norm_factors = `FloatPair(0., 0.)`,
		FloatKey	weight_key = `atom::Mass::get_mass_key()`,
		float	scale = `1`,
		bool	use_rigid_bodies = `true`,
		KernelType	kt = `GAUSSIAN`
	)

Constructor.

Parameters:

[in]	ps	The particles participating in the fitting score
[in]	em_map	The density map used in the fitting score
[in]	norm_factors	if set, they are used as normalization factors for the cross correlation calculations. This is relevant when the cross-correlation score of the entire system is decomposed.
[in]	weight_key	the name of the weight attribute of the particles
[in]	scale	multiply the fitting restraint score and derivatives by this value
[in]	use_rigid_bodies	is some of the particles are part of a rigid body, use the rigid body for faster calculations

Note:: Rigid-bodies are interpolated and not resampled if use_rigid_bodies option is selected. This significantly reduces the running time but is less accurate. If the user prefers to get more accurate results, provide its members as input particles and not the rigid body.

SampledDensityMap* IMP::em::FitRestraint::get_model_dens_map ( ) const

The documentation for this class was generated from the following file: