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https://gitlab.rlp.net/mobitar/ReCo.jl.git
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76 lines
No EOL
2.2 KiB
Julia
76 lines
No EOL
2.2 KiB
Julia
module Shape
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export center_of_mass, gyration_tensor_eigvals_ratio
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using StaticArrays: SVector, SMatrix
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using LinearAlgebra: eigvals, Hermitian
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using ..ReCo: Particle, restrict_coordinate, restrict_coordinates
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function project_to_unit_circle(x::Float64, half_box_len::Float64)
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φ = (x + half_box_len) * π / half_box_len
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si, co = sincos(φ)
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return SVector(co, si)
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end
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function project_back_from_unit_circle(θ::T, half_box_len::Float64) where {T<:Real}
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x = θ * half_box_len / π - half_box_len
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return restrict_coordinate(x, half_box_len)
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end
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function center_of_mass(particles::Vector{Particle}, half_box_len::Float64)
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x_proj_sum = SVector(0.0, 0.0)
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y_proj_sum = SVector(0.0, 0.0)
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for p in particles
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x_proj_sum += project_to_unit_circle(p.c[1], half_box_len)
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y_proj_sum += project_to_unit_circle(p.c[2], half_box_len)
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end
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# Prevent for example atan(1e-16, 1e-15) != 0 with rounding
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digits = 5
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# No need for 1/n_particles with atan
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# If proj is (0, 0) then COM is 0 or L or -L. Here, 0 is choosen with θ = π
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if round(x_proj_sum[1]; digits=digits) == round(x_proj_sum[2]; digits=digits) == 0
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x_θ = π
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else
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x_θ = atan(x_proj_sum[2], x_proj_sum[1])
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end
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if round(y_proj_sum[1]; digits=digits) == round(y_proj_sum[2]; digits=digits) == 0
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y_θ = π
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else
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y_θ = atan(y_proj_sum[2], y_proj_sum[1])
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end
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COM_x = project_back_from_unit_circle(x_θ, half_box_len)
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COM_y = project_back_from_unit_circle(y_θ, half_box_len)
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return SVector(COM_x, COM_y)
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end
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function gyration_tensor(particles::Vector{Particle}, half_box_len::Float64)
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COM = center_of_mass(particles, half_box_len)
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S11 = 0.0
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S12 = 0.0
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S22 = 0.0
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for p in particles
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shifted_c = restrict_coordinates(p.c - COM, half_box_len)
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S11 += shifted_c[1]^2
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S12 += shifted_c[1] * shifted_c[2]
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S22 += shifted_c[2]^2
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end
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return Hermitian(SMatrix{2,2}(S11, S12, S12, S22))
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end
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function gyration_tensor_eigvals_ratio(particles::Vector{Particle}, half_box_len::Float64)
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ev = eigvals(gyration_tensor(particles, half_box_len)) # Eigenvalues are sorted
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return ev[1] / ev[2]
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end
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end # module |