Fields and densities read off from s::system
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11
mesons.jl
11
mesons.jl
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@ -38,14 +38,13 @@ end
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"Iteratively solve meson equations and return the wave functions u(r)=[Φ0(r), W0(r), B0(r), A0(r)] where
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"Iteratively solve meson equations and return the wave functions u(r)=[Φ0(r), W0(r), B0(r), A0(r)] where
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divs is the number of mesh divisions so the arrays are of length (1+divs),
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divs is the number of mesh divisions so the arrays are of length (1+divs),
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ρ_sp, ρ_vp are the scalar and vector proton densities as arrays,
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ρ_sn, ρ_vn are the scalar and vector neutron densities as arrays,
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Φ0, W0, B0, A0 are the mean-field potentials (couplings included) in MeV as as arrays,
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r is the radius in fm,
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r is the radius in fm,
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An initial guess initial_sol=(Φ0, W0, B0, A0) can be provided to speed up convergence (permuting!).
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the inital solutions are read from s and the final solutions are saved in-place.
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Reference: P. Giuliani, K. Godbey, E. Bonilla, F. Viens, and J. Piekarewicz, Frontiers in Physics 10, (2023)"
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Reference: P. Giuliani, K. Godbey, E. Bonilla, F. Viens, and J. Piekarewicz, Frontiers in Physics 10, (2023)"
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function solveMesonWfs(ρ_sp, ρ_vp, ρ_sn, ρ_vn, s::system, iterations=10; initial_sol=(zeros(1 + divs) for _ in 1:4))
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function solveMesonFields!(s::system, iterations=10)
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(Φ0, W0, B0, A0) = initial_sol
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(Φ0, W0, B0, A0) = (s.Φ0, s.W0, s.B0, s.A0)
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(ρ_sp, ρ_vp, ρ_sn, ρ_vn) = (s.ρ_sp, s.ρ_vp, s.ρ_sn, s.ρ_vn)
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(src_Φ0, src_W0, src_B0, src_A0) = (zero_array(s) for _ in 1:4)
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(src_Φ0, src_W0, src_B0, src_A0) = (zero_array(s) for _ in 1:4)
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# A0 doesn't need iterations
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# A0 doesn't need iterations
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25
nucleons.jl
25
nucleons.jl
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@ -27,7 +27,9 @@ end
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divs is the number of mesh divisions so solution would be returned as a 2×(1+divs) matrix,
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divs is the number of mesh divisions so solution would be returned as a 2×(1+divs) matrix,
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shooting method divides the interval into two partitions at r_max/2, ensuring convergence at both r=0 and r=r_max,
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shooting method divides the interval into two partitions at r_max/2, ensuring convergence at both r=0 and r=r_max,
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the other parameters are the same from dirac!(...)."
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the other parameters are the same from dirac!(...)."
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function solveNucleonWf(κ, p, E, Φ0, W0, B0, A0, s::system; shooting=true, normalize=true)
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function solveNucleonWf(κ, p, E, s::system; shooting=true, normalize=true)
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(Φ0, W0, B0, A0) = fields_interp(s)
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if shooting
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if shooting
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@assert s.divs % 2 == 0 "divs must be an even number when shooting=true"
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@assert s.divs % 2 == 0 "divs must be an even number when shooting=true"
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prob = ODEProblem(dirac!, [0, 1], (s.r_max, s.r_max / 2))
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prob = ODEProblem(dirac!, [0, 1], (s.r_max, s.r_max / 2))
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@ -62,8 +64,9 @@ end
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"Returns a function that solves the Dirac equation and returns g(r=r_max) where
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"Returns a function that solves the Dirac equation and returns g(r=r_max) where
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r_max is the outer boundary in fm,
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r_max is the outer boundary in fm,
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the other parameters are the same from dirac!(...)."
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the other parameters are the same from dirac!(...)."
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function boundaryValueFunc(κ, p, Φ0, W0, B0, A0, s::system; dtype=Float64, algo=Tsit5())
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function boundaryValueFunc(κ, p, s::system; dtype=Float64, algo=Tsit5())
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prob = ODEProblem(dirac!, convert.(dtype, [0, 1]), (0, s.r_max))
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prob = ODEProblem(dirac!, convert.(dtype, [0, 1]), (0, s.r_max))
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(Φ0, W0, B0, A0) = fields_interp(s)
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func(E) = solve(prob, algo, p=(κ, p, E, Φ0, W0, B0, A0), saveat=[s.r_max], save_idxs=[1])[1, 1]
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func(E) = solve(prob, algo, p=(κ, p, E, Φ0, W0, B0, A0), saveat=[s.r_max], save_idxs=[1])[1, 1]
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return func
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return func
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end
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end
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@ -71,21 +74,21 @@ end
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"Find all bound energies between E_min (=0) and E_max (=mass) where
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"Find all bound energies between E_min (=0) and E_max (=mass) where
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tol_digits determines the precision for root finding and the threshold for identifying duplicates,
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tol_digits determines the precision for root finding and the threshold for identifying duplicates,
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the other parameters are the same from dirac!(...)."
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the other parameters are the same from dirac!(...)."
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function findEs(κ, p, Φ0, W0, B0, A0, s::system, E_min=0, E_max=(p ? M_p : M_n), tol_digits=5)
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function findEs(κ, p, s::system, E_min=0, E_max=(p ? M_p : M_n), tol_digits=5)
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func = boundaryValueFunc(κ, p, Φ0, W0, B0, A0, s)
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func = boundaryValueFunc(κ, p, s)
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Es = find_zeros(func, (E_min, E_max); xatol=1/10^tol_digits)
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Es = find_zeros(func, (E_min, E_max); xatol=1/10^tol_digits)
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return unique(E -> round(E; digits=tol_digits), Es)
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return unique(E -> round(E; digits=tol_digits), Es)
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end
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end
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"Find all orbitals and return two lists containing κ values and corresponding energies for a single species where
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"Find all orbitals and return two lists containing κ values and corresponding energies for a single species where
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the other parameters are defined above"
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the other parameters are defined above"
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function findAllOrbitals(p, Φ0, W0, B0, A0, s::system, E_min=0, E_max=(p ? M_p : M_n))
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function findAllOrbitals(p, s::system, E_min=0, E_max=(p ? M_p : M_n))
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κs = Int[]
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κs = Int[]
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Es = Float64[]
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Es = Float64[]
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# start from κ=-1 and go both up and down
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# start from κ=-1 and go both up and down
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for direction in [-1, 1]
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for direction in [-1, 1]
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for κ in direction * (1:100) # cutoff is 100
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for κ in direction * (1:100) # cutoff is 100
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new_Es = findEs(κ, p, Φ0, W0, B0, A0, s, E_min, E_max)
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new_Es = findEs(κ, p, s, E_min, E_max)
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if isempty(new_Es); break; end
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if isempty(new_Es); break; end
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append!(Es, new_Es)
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append!(Es, new_Es)
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append!(κs, fill(κ, length(new_Es)))
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append!(κs, fill(κ, length(new_Es)))
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@ -120,11 +123,11 @@ l_κ(κ::Int) = abs(κ) - (κ < 0) # since true = 1 and false = 0
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"Calculate scalar and vector densities of a nucleon species on [0,r_max] divided into (divs+1) points and returns them as vectors (ρ_s, ρ_v) where
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"Calculate scalar and vector densities of a nucleon species on [0,r_max] divided into (divs+1) points and returns them as vectors (ρ_s, ρ_v) where
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the arrays κs, Es, occs tabulate the energies and occupation numbers corresponding to each κ,
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the arrays κs, Es, occs tabulate the energies and occupation numbers corresponding to each κ,
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the other parameters are defined above"
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the other parameters are defined above"
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function calculateNucleonDensity(κs, Es, occs, p, Φ0, W0, B0, A0, s::system)
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function calculateNucleonDensity(κs, Es, occs, p, s::system)
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ρr2 = zeros(2, s.divs + 1) # ρ×r² values
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ρr2 = zeros(2, s.divs + 1) # ρ×r² values
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for (κ, E, occ) in zip(κs, Es, occs)
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for (κ, E, occ) in zip(κs, Es, occs)
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wf = solveNucleonWf(κ, p, E, Φ0, W0, B0, A0, s; shooting=true, normalize=true)
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wf = solveNucleonWf(κ, p, E, s; shooting=true, normalize=true)
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wf2 = wf .* wf
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wf2 = wf .* wf
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ρr2 += (occ / (4 * pi)) * wf2 # 2j+1 factor is accounted in the occupancy number
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ρr2 += (occ / (4 * pi)) * wf2 # 2j+1 factor is accounted in the occupancy number
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end
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end
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@ -141,8 +144,8 @@ end
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"Solve the Dirac equation and calculate scalar and vector densities of a nucleon species where
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"Solve the Dirac equation and calculate scalar and vector densities of a nucleon species where
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the other parameters are defined above"
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the other parameters are defined above"
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function solveNucleonDensity(p, Φ0, W0, B0, A0, s::system, E_min=800, E_max=939)
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function solveNucleonDensity(p, s::system, E_min=800, E_max=939)
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κs, Es = findAllOrbitals(p, Φ0, W0, B0, A0, s, E_min, E_max)
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κs, Es = findAllOrbitals(p, s, E_min, E_max)
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occs = fillNucleons(Z_or_N(s, p), κs, Es)
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occs = fillNucleons(Z_or_N(s, p), κs, Es)
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return calculateNucleonDensity(κs, Es, occs, p, Φ0, W0, B0, A0, s)
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return calculateNucleonDensity(κs, Es, occs, p, s)
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end
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end
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17
system.jl
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system.jl
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@ -18,11 +18,11 @@ mutable struct system
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ρ_sn::Vector{Float64}
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ρ_sn::Vector{Float64}
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ρ_vn::Vector{Float64}
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ρ_vn::Vector{Float64}
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"Dummy struct to define the mesh"
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system(r_max, divs) = new(0, 0, r_max, divs, [Float64[] for _ in 1:8]...)
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"Initialize an unsolved system"
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"Initialize an unsolved system"
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system(Z, N, r_max, divs) = new(Z, N, r_max, divs, [zeros(1 + divs) for _ in 1:8]...)
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system(Z, N, r_max, divs) = new(Z, N, r_max, divs, [zeros(1 + divs) for _ in 1:8]...)
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"Dummy struct to define the mesh"
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system(r_max, divs) = system(0, 0, r_max, divs)
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end
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end
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"Get mass number of nucleus"
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"Get mass number of nucleus"
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@ -73,18 +73,17 @@ function solve_system(s::system; reinitialize_densities=true, monitor_print=true
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while true
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while true
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# mesons
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# mesons
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@time "Meson fields" solveMesonWfs(s.ρ_sp, s.ρ_vp, s.ρ_sn, s.ρ_vn, s, isnan(E_total_previous) ? 50 : 5; initial_sol = (s.Φ0, s.W0, s.B0, s.A0))
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@time "Meson fields" solveMesonFields!(s, isnan(E_total_previous) ? 50 : 5)
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(S_interp, V_interp, R_interp, A_interp) = fields_interp(s)
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# protons
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# protons
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@time "Proton spectrum" (κs_p, Es_p) = findAllOrbitals(true, S_interp, V_interp, R_interp, A_interp, s)
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@time "Proton spectrum" (κs_p, Es_p) = findAllOrbitals(true, s)
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occs_p = fillNucleons(s.Z, κs_p, Es_p)
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occs_p = fillNucleons(s.Z, κs_p, Es_p)
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@time "Proton densities" (s.ρ_sp, s.ρ_vp) = calculateNucleonDensity(κs_p, Es_p, occs_p, true, S_interp, V_interp, R_interp, A_interp, s)
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@time "Proton densities" (s.ρ_sp, s.ρ_vp) = calculateNucleonDensity(κs_p, Es_p, occs_p, true, s)
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# neutrons
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# neutrons
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@time "Neutron spectrum" (κs_n, Es_n) = findAllOrbitals(false, S_interp, V_interp, R_interp, A_interp, s)
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@time "Neutron spectrum" (κs_n, Es_n) = findAllOrbitals(false, s)
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occs_n = fillNucleons(s.N, κs_n, Es_n)
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occs_n = fillNucleons(s.N, κs_n, Es_n)
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@time "Neutron densities" (s.ρ_sn, s.ρ_vn) = calculateNucleonDensity(κs_n, Es_n, occs_n, false, S_interp, V_interp, R_interp, A_interp, s)
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@time "Neutron densities" (s.ρ_sn, s.ρ_vn) = calculateNucleonDensity(κs_n, Es_n, occs_n, false, s)
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if monitor_plot
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if monitor_plot
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for s in p.series_list
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for s in p.series_list
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@ -16,16 +16,17 @@ plot(xs_bench, hcat(Φ0_bench, W0_bench, B0_bench, A0_bench), layout=4, label=["
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# format: x Rhos(n) Rhov(n) Rhot(n) Rhos(p) Rhov(p) Rhot(p)
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# format: x Rhos(n) Rhov(n) Rhot(n) Rhos(p) Rhov(p) Rhot(p)
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test_data = readdlm("test/Pb208DensFSUGarnet.csv")
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test_data = readdlm("test/Pb208DensFSUGarnet.csv")
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xs = test_data[:, 1]
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xs = test_data[:, 1]
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ρ_sn = test_data[:, 2]
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ρ_vn = test_data[:, 3]
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ρ_sp = test_data[:, 5]
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ρ_vp = test_data[:, 6]
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r_max = maximum(xs)
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r_max = maximum(xs)
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divs = length(xs) - 1
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divs = length(xs) - 1
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s = system(r_max, divs)
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s = system(r_max, divs)
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(Φ0, W0, B0, A0) = solveMesonWfs(ρ_sp, ρ_vp, ρ_sn, ρ_vn, s, 200) # many iterations needed without an initial solution
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s.ρ_sn = test_data[:, 2]
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s.ρ_vn = test_data[:, 3]
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s.ρ_sp = test_data[:, 5]
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s.ρ_vp = test_data[:, 6]
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(Φ0, W0, B0, A0) = solveMesonFields!(s, 200) # many iterations needed without an initial solution
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plot!(xs, hcat(Φ0, W0, B0, A0), layout=4, label=["Φ0" "W0" "B0" "A0"])
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plot!(xs, hcat(Φ0, W0, B0, A0), layout=4, label=["Φ0" "W0" "B0" "A0"])
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xlabel!("r (fm)")
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xlabel!("r (fm)")
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s.B0 = Rs
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s.B0 = Rs
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s.A0 = As
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s.A0 = As
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(S_interp, V_interp, R_interp, A_interp) = fields_interp(s)
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E_min = 850
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E_min = 850
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E_max = 939
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E_max = 939
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boundEs = findEs(κ, p, S_interp, V_interp, R_interp, A_interp, s, E_min, E_max)
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boundEs = findEs(κ, p, s, E_min, E_max)
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binding_Es = (p ? M_p : M_n) .- boundEs
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binding_Es = (p ? M_p : M_n) .- boundEs
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println("binding energies = $binding_Es")
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println("binding energies = $binding_Es")
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func = boundaryValueFunc(κ, p, S_interp, V_interp, R_interp, A_interp, s)
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func = boundaryValueFunc(κ, p, s)
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Es = collect(E_min:0.5:E_max)
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Es = collect(E_min:0.5:E_max)
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boundaryVals = [func(E)^2 for E in Es]
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boundaryVals = [func(E)^2 for E in Es]
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s.B0 = Rs
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s.B0 = Rs
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s.A0 = As
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s.A0 = As
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(S_interp, V_interp, R_interp, A_interp) = fields_interp(s)
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(ρ_sp, ρ_vp) = solveNucleonDensity(true, s)
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(ρ_sp, ρ_vp) = solveNucleonDensity(true, S_interp, V_interp, R_interp, A_interp, s)
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p_sp = plot(rs(s), ρ_sp, xlabel="r (fm)", label="ρₛₚ(r) calculated")
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p_sp = plot(rs(s), ρ_sp, xlabel="r (fm)", label="ρₛₚ(r) calculated")
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p_vp = plot(rs(s), ρ_vp, xlabel="r (fm)", label="ρᵥₚ(r) calculated")
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p_vp = plot(rs(s), ρ_vp, xlabel="r (fm)", label="ρᵥₚ(r) calculated")
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(ρ_sn, ρ_vn) = solveNucleonDensity(false, S_interp, V_interp, R_interp, A_interp, s)
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(ρ_sn, ρ_vn) = solveNucleonDensity(false, s)
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p_sn = plot(rs(s), ρ_sn, xlabel="r (fm)", label="ρₛₙ(r) calculated")
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p_sn = plot(rs(s), ρ_sn, xlabel="r (fm)", label="ρₛₙ(r) calculated")
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p_vn = plot(rs(s), ρ_vn, xlabel="r (fm)", label="ρᵥₙ(r) calculated")
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p_vn = plot(rs(s), ρ_vn, xlabel="r (fm)", label="ρᵥₙ(r) calculated")
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s.B0 = Rs
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s.B0 = Rs
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s.A0 = As
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s.A0 = As
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(S_interp, V_interp, R_interp, A_interp) = fields_interp(s)
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E_min = 800
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E_min = 800
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E_max = 939
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E_max = 939
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κs, Es = findAllOrbitals(p, S_interp, V_interp, R_interp, A_interp, s, E_min, E_max)
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κs, Es = findAllOrbitals(p, s, E_min, E_max)
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Ebinds = (p ? M_p : M_n) .- Es
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Ebinds = (p ? M_p : M_n) .- Es
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occ = fillNucleons(Z_or_N(s, p), κs, Es)
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occ = fillNucleons(Z_or_N(s, p), κs, Es)
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s.B0 = Rs
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s.B0 = Rs
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s.A0 = As
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s.A0 = As
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(S_interp, V_interp, R_interp, A_interp) = fields_interp(s)
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E_min = 800
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E_min = 800
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E_max = 939
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E_max = 939
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groundE = findEs(κ, p, S_interp, V_interp, R_interp, A_interp, s, E_min, E_max) |> minimum
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groundE = findEs(κ, p, s, E_min, E_max) |> minimum
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println("ground state E = $groundE")
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println("ground state E = $groundE")
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wf = solveNucleonWf(κ, p, groundE, S_interp, V_interp, R_interp, A_interp, s)
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wf = solveNucleonWf(κ, p, groundE, s)
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gs = wf[1, :]
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gs = wf[1, :]
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fs = wf[2, :]
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fs = wf[2, :]
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|
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Loading…
Reference in New Issue