42 lines
1.5 KiB
Julia
42 lines
1.5 KiB
Julia
include("../EC.jl")
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training_c = [1.1, 0.9, 0.7, 0.5]
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extrapolating_c = 0.0 : 0.2 : 1.2
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training_ref = [1.4750633616275919 - 0.0003021770706749637im
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1.9567078295375822 - 0.0007646829108872369im
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2.4351117758403076 - 0.001281037843108658im
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2.9096543462392357 - 0.002962488527470604im]
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extrapolating_ref = [4.076662025307587-0.012709842443350328im,
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3.613318119833891-0.007335804709990623im,
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3.1453431847006783-0.004030580410326795im,
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2.672967129943755-0.00211498327461944im,
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2.196542557810288-0.0010719835443437104im,
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1.7164583929199813-0.0005455212208182736im,
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1.233088227541505-0.0003070320106485624im]
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include("../p_space_3body_resonance.jl")
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H0 = H
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# Vp = perturbation to make the state artificially bound
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Vp_of_r(r) = -exp(-(r/3)^2)
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Vp_l(j, k, kp) = Vl_mat_elem(Vp_of_r, j, k, kp; atol=atol, maxevals=maxevals, R_cutoff=R_cutoff)
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@time "Vp block diagonal part" begin
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Vpb_blocks = [kron_sum(get_V_matrix((k, kp) -> Vp_l(j1, k, kp), ks, ws), spzeros(length(ks), length(ks))) for (j1, _) in js]
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Vpb = blockdiag(sparse.(Vpb_blocks)...)
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end
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@time "Vp2_HO" Vp2_HO = get_jacobi_V2_matrix(Vp_of_r, basis_ho, μω_global; atol=atol, maxevals=maxevals)
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@time "Vp2" Vp2 = W_left * Vp2_HO * transpose(W_right)
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@time "Vp" Vp = Vpb + Vp2
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weights = repeat(kron(ws, ws), jmax + 1)
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EC = affine_EC(H0, Vp, weights)
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train!(EC, training_c; ref_eval=training_ref, CAEC=false)
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extrapolate!(EC, extrapolating_c; ref_eval=extrapolating_ref)
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exportCSV(EC, "temp/Berggren_R2R.csv")
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plot(EC, "temp/Berggren_R2R.pdf") |