Discrete_Ordinates

Structure used to define the discretization method associated with the transport of a particle.

Mandatory field(s)

• particle::Particle : particle for which the discretization methods is defined
• solver_type::String : type of solver for the transport calculations.
• quadrature_type::String : type of quadrature for the angular domain.
• quadrature_order::Int64 : order of the quadrature for the angular domain.
• legendre_order::Int64 : maximum order of the Legendre expansion for the differential cross-sections.
• scheme_type::Dict{String,String} : type of schemes for the spatial or energy discretization.
• scheme_order::Dict{String,Int64} : order of the expansion for the discretization schemes.

Optional field(s) - with default values

• angular_fokker_planck::String = "finite-difference" : type of discretization for the angular Fokker-Planck operation.
• angular_boltzmann::String = "galerkin-d" : type of discretization for the Boltzmann operation.
• convergence_criterion::Float64 = 1e-7 : convergence criterion of in-group iterations.
• maximum_iteration::Int64 = 300 : maximum number of in-group iterations.
• acceleration::Int64 = "none" : acceleration method for the in-group iterations.

set_particle(this::Discrete_Ordinates,particle::Particle)

To set the particle for which the transport discretization method is for.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• particle::Particle : particle.

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_particle(electron) 

set_solver_type(this::Discrete_Ordinates,solver_type::String)

To set the solver for the particle transport.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• solver_type::String : solver type, which can takes the following values:
  • solver_type = "BTE" : Boltzmann transport equation
  • solver_type = "BFP" : Boltzmann Fokker-Planck equation
  • solver_type = "BCSD" : Boltzmann-CSD equation
  • solver_type = "FP" : Fokker-Planck equation
  • solver_type = "CSD" : Continuous slowing-down only equation
  • solver_type = "BFP-EF" : Boltzmann Fokker-Planck without elastic

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_particle("BFP")

set_quadrature(this::Discrete_Ordinates,type::String,order::Int64)

To set the quadrature properties for the discretization of the angular domain.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• type::String : type of quadrature, which can takes the following values:
  • type = "gauss-legendre" : Gauss-Legendre quadrature (1D Cartesian geometry only)
  • type = "gauss-lobatto" : Gauss-Lobatto quadrature (1D Cartesian geometry only)
  • type = "carlson" : Carlson quadrature (2D or 3D Cartesian geometry only)
  • type = "gauss-legendre-chebychev" : product quadrature between Gauss-Legendre and Chebychev quadratures (2D or 3D Cartesian geometry only)
  • type = "lebedev" : Lebedev quadrature (2D or 3D Cartesian geometry only)
• order::Int64 : order of the quadrature, which is any integer greater than 2.

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_quadrature("gauss-legendre",4)

set_legendre_order(this::Discrete_Ordinates,legendre_order::Int64)

To set the maximum order of the Legendre expansion of the differential cross-sections.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• legendre_order::Int64 : maximum order of the Legendre expansion of the differential cross-sections.

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_legendre_order(7)

set_angular_fokker_planck(this::Discrete_Ordinates,angular_fokker_planck::String)

To set the discretization method for the angular Fokker-Planck term.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• angular_fokker_planck::String : discretization method for the angular Fokker-Planck term, which can takes the following values:
  • angular_fokker_planck = "finite-difference" : finite difference discretization.
  • angular_fokker_planck = "galerkin" : galerkin moment-based discretization.
  • angular_fokker_planck = "differential-quadrature" : finite difference discretization (1D Cartesian geometry only).

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_angular_fokker_planck("differential-quadrature")

set_angular_boltzmann(this::Discrete_Ordinates,angular_boltzmann::String)

To set the angular discretization method for the Boltzmann operator.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• angular_boltzmann::String : angular discretization method for the Boltzmann operator, which can takes the following values:
  • angular_boltzmann = "standard" : standard discrete ordinates (SN) method.
  • angular_boltzmann = "galerkin-m" : Galerkin method by inversion of the discrete-to-moment M matrix.
  • angular_boltzmann = "galerkin-d" : Galerkin method by inversion of the moment-to-discrete D matrix.

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_angular_boltzmann("standard")

set_convergence_criterion(this::Discrete_Ordinates,convergence_criterion::Float64)

To set the convergence criterion for the in-group iterations.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• convergence_criterion::Float64 : convergence criterion.

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_convergence_criterion(1e-5)

set_maximum_iteration(this::Discrete_Ordinates,maximum_iteration::Int64)

To set the maximum number of in-group iterations.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• maximum_iteration::Int64 : maximum number of in-group iterations.

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_maximum_iteration(50)

set_scheme(this::Discrete_Ordinates,axis::String,scheme_type::String,scheme_order::Int64)

To set the type of discretization scheme for derivative along the specified spatial or energy axis.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• axis::String : variable of the derivative for which the scheme is applied, which can takes the following values:
  • axis = "x" : spatial x axis (discretization of the streaming term)
  • axis = "y" : spatial y axis (discretization of the streaming term)
  • axis = "z" : spatial z axis (discretization of the streaming term)
  • axis = "E" : spatial E axis (discretization of the continuous slowing-down term)
• scheme_type::String : type of scheme to be applied, which can takes the following values:
  • scheme_type = "DD" : diamond difference scheme (any order)
  • scheme_type = "DG" : discontinuous Galerkin scheme (any order)
  • scheme_type = "AWD" : adaptive weighted scheme (1st and 2nd order only)
• scheme_order::Int64 : scheme order, which takes values greater than 1.

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_scheme("x","DD",1)
julia> m.set_scheme("E","DG",2)

set_acceleration(this::Discrete_Ordinates,acceleration::String)

To set the acceleration method for the in-group iteration process.

Input Argument(s)

• this::Discrete_Ordinates : discretization method.
• acceleration::String : acceleration method, which takes the following values
  • acceleration = "none" : none
  • acceleration = "livolant" : livolant acceleration method

Output Argument(s)

N/A

Examples

julia> m = Discrete_Ordinates()
julia> m.set_acceleration("livolant")