yapanuwan
/
BergEC-jl
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Hopeless optimization

This commit is contained in:
Nuwan Yapa 2024-02-26 12:28:09 -05:00
parent 31d6086cb0
commit 4bf2872e95
1 changed files with 3 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
ho_basis.jl
View File

@ -4,11 +4,9 @@ using SpecialFunctions
# Gaussian potentials in HO space # Gaussian potentials in HO space
inv_factorial(n) = Iterators.prod(inv.(1:n)) inv_factorial(n) = Iterators.prod(inv.(1:n))
sqrt_factorial(n) = Iterators.prod(sqrt.(n:-1:1)) sqrt_factorial(n) = Iterators.prod(sqrt.(n:-1:1))
sqrt_double_factorial(n) = Iterators.prod(sqrt.(n:-2:1)) N_lnk(l, n, k) = (-1)^(n-k) * inv_factorial(k) * binomial(n+l+1/2, n-k) * sqrt_factorial(n) / sqrt(gamma(n+l+3/2))
N_nl(n, l) = (-1)^n * sqrt_factorial(n) * sqrt(1/sqrt(pi) * 2^(n+l+2)) / sqrt_double_factorial(2*n+2*l+1) Talmi(l, R, k1, k2) = (1 + 1/R^2)^-(3/2 + l + k1 + k2) * gamma(3/2 + l + k1 + k2)
prefactor(n, l, k) = (-1)^k * binomial(n + l + 1/2, n - k) * inv_factorial(k) V_Gaussian(R, l, n1, n2) = sum([N_lnk(l, n1, k1) * N_lnk(l, n2, k2) * Talmi(l, R, k1, k2) for (k1, k2) in Iterators.product(0:n1, 0:n2)])
Talmi(l, R, k1, k2) = (1/2) / (1 + 1/R^2)^(3/2 + l + k1 + k2) * gamma(3/2 + l + k1 + k2)
V_Gaussian(R, l, n1, n2) = N_nl(n1, l) * N_nl(n2, l) * sum([prefactor(n1, l, k1) * prefactor(n2, l, k2) * Talmi(l, R, k1, k2) for (k1, k2) in Iterators.product(0:n1, 0:n2)])
function get_sp_basis(E_max) function get_sp_basis(E_max)
Es = Int[] Es = Int[]