Models¶
DeerLab provides a wide selection of builtin models. These are instances of the deerlab.Model object class and can be manipulated and expanded as described in the Modeling guide.
These are models particularly oriented towards the modeling of dipolar EPR spectroscopy data.
Experiment models¶
These generator functions model different dipolar EPR experiments, and provide the means to refine the dipolar signal models by introducing experimental information.
Generate a 3pulse DEER dipolar experiment model. 

Generate a 4pulse DEER dipolar experiment model. 

Generate a reverse 5pulse DEER dipolar experiment model. 

Generate a forward 5pulse DEER dipolar experiment model. 

Generate a 4pulse SIFTER dipolar experiment model. 

Generate a 6pulse DQC dipolar experiment model. 

Generate a 5pulse RIDME dipolar experiment model. 
Distance distribution models¶
These models provide parametrizations of the interspin distance distributions.
Basis functions
This group of distribution models is based on functions that can serve as basis functions for modeling more general distributions.
Gaussian distribution model 

Sum of two Gaussian distributions model 

Sum of three Gaussian distributions model 

3DRice distribution model 

Sum of two 3DRice distributions model 

Sum of two 3DRice distributions model 

Generalized Gaussian distribution model 

Skew Gaussian distribution model 

Raisedcosine parametric model 
Disordered physical models
This group of distribution models represents spin labels attached to disordered macromolecular structures.
Wormlike chain model near the rigid limit. 

Wormlike chain model near the rigid limit with Gaussian convolution. 

Randomcoil model for an unfolded peptide/protein 
Sphere/shell models
This group of distribution models represents spin labels in simple partitions of 3D space.
Particles uniformly distributed on a sphere. 

Particles uniformly distributed on a sphere's surface. 

One particle distanced from particles uniformly distributed on a sphere 

Uniform distribution of particles on a spherical shell 

Particles uniformly distributed on a spherical shell and on another concentric spherical shell. 

Particles uniformly distributed on a sphere and on an outer spherical shell. 

Particles uniformly distributed on a spherical shell and on another concentric spherical shell separated by a void. 

Particles uniformly distributed on a sphere and on a concentric outer spherical shell separated by a void. 
Toy models
This group contains distribution models that have absolutely no physical relevance. They are useful for testing numerical algorithms.
Semicircle distribution model 

Triangular distribution model. 

Uniform distribution model. 
Background models¶
These models provide parametrizations of the signal contribution arising from intermolecular dipolar interactions.
Physical models
This category involves models that describe particular distributions of spin labels in space. These models depend on physical parameters such as spin concentration, exclusion distances, and dimensionality.
Background from a homogeneous distribution of spins in a 3D medium 

Background from a homogeneous distribution of spins with excluded volume 

Background from homogeneous spin distribution in a space of fractal dimension 
Additionally, the following models describe the timedependent phaseshifts arising from these particular distributions of spin labels in space.
Phase shift from a homogeneous distribution of spins in a 3D medium 

Phase shift from a homogeneous distribution of spins with excluded volume 

Phase shift from a homogeneous distribution of spins in a fractal medium 
Phenomenological models
This category comprises phenomenological models that represent various mathematical functions that are intended to mimic the background decay, without reference to a particular spatial distribution of spins. The parameters of these models do no have direct physical meaning.
Exponential background model 

Stretched exponential background model 

Sum of two stretched exponentials background model 

Product of two stretched exponentials background model 

Polynomial 1storder background model 

Polynomial 2ndorder background model 

Polynomial 3rdorder background model 