Fixed unstability of wave functions
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dirac.jl
19
dirac.jl
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@ -26,18 +26,18 @@ end
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"Solve the Dirac equation and return the wave function u(r)=[g(r), f(r)] where
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divs is the number of mesh divisions if the solution should be discretized as a 2×(1+divs) matrix (keep divs=0 to obtain an interpolating function),
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the other parameters are the same from dirac!(...)."
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function solveWf(κ, p, E, Φ0, W0, B0, A0, r_max, divs::Int=0)
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prob = ODEProblem(dirac!, [0, 1], (0, r_max))
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sol = solve(prob, RK4(), p=(κ, p, E, Φ0, W0, B0, A0), saveat=(divs == 0 ? [] : r_max/divs))
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function solveWf(κ, p, E, Φ0, W0, B0, A0, r_max, divs::Int=0; dtype=BigFloat, algo=Feagin12())
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prob = ODEProblem(dirac!, convert.(dtype, [0, 1]), (0, r_max))
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sol = solve(prob, algo, p=(κ, p, E, Φ0, W0, B0, A0), saveat=(divs == 0 ? [] : r_max/divs))
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return divs == 0 ? sol : hcat(sol.u...)
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end
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"Solve the Dirac equation and return g(r=r_max) where
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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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function boundaryValue(κ, p, E, Φ0, W0, B0, A0, r_max)
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prob = ODEProblem(dirac!, [0, 1], (0, r_max))
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sol = solve(prob, RK4(), p=(κ, p, E, Φ0, W0, B0, A0), saveat=[r_max], save_idxs=[1])
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function boundaryValue(κ, p, E, Φ0, W0, B0, A0, r_max; dtype=Float64, algo=RK4())
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prob = ODEProblem(dirac!, convert.(dtype, [0, 1]), (0, r_max))
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sol = solve(prob, algo, p=(κ, p, E, Φ0, W0, B0, A0), saveat=[r_max], save_idxs=[1])
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return sol[1, 1]
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end
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@ -48,6 +48,13 @@ function findEs(κ, p, Φ0, W0, B0, A0, r_max, E_min=0, E_max=(p ? M_p : M_n))
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return find_zeros(f, (E_min, E_max))
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end
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"Find more precise bound energies for a given list of Es where
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the other parameters are the same from dirac!(...)."
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function refineEs(κ, p, Φ0, W0, B0, A0, r_max, Es)
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f(E) = boundaryValue(κ, p, E, Φ0, W0, B0, A0, r_max; dtype=BigFloat, algo=Feagin12())
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return [find_zero(f, E) for E in Es]
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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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the other parameters are defined above"
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function findAllOrbitals(p, Φ0, W0, B0, A0, r_max, E_min=0, E_max=(p ? M_p : M_n))
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@ -21,14 +21,14 @@ r_max = maximum(xs)
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E_min = 880
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E_max = 939
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boundEs = findEs(κ, p, S_interp, V_interp, R_interp, A_interp, r_max, E_min, E_max)
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groundE = minimum(boundEs)
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approxE = findEs(κ, p, S_interp, V_interp, R_interp, A_interp, r_max, E_min, E_max) |> minimum
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groundE = refineEs(κ, p, S_interp, V_interp, R_interp, A_interp, r_max, [approxE])[1]
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println("ground state E = $groundE")
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plot_r_max = r_max * 0.75
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divs = 50
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wf = solveWf(κ, p, groundE, S_interp, V_interp, R_interp, A_interp, plot_r_max, divs)
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rs = collect(0: plot_r_max/divs : plot_r_max)
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wf = solveWf(κ, p, groundE, S_interp, V_interp, R_interp, A_interp, r_max, divs)
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rs = range(0, r_max, length=divs+1)
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gs = wf[1, :]
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fs = wf[2, :]
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