update docs

Author: 0382

README.md

@@ -57,7 +57,7 @@ Exact function only for demonstration, some of them can be `Real` arguments, lik
 - `nineJ(j1, j2, j3, j4, j5, j6, j7, j8, j9)`, Wigner 9j-symbol, `Real` arguments.
 - `norm9J(j2, j3, j4, j5, j5, j6, j7, j8, j9)`, normalized 9j-symbol, `Real` arguments.
 - `lsjj(l1, l2, j1, j2, L, S, J)`, LS-coupling to jj-coupling transform coefficient. It actually equals to a normalized 9j-symbol, but easy to use and faster. `j1, j2` can be `Real`.
-- `Moshinsky(N, L, n, l, n1, l1, n2, l2, Λ)`, Moshinsky brakets, `Integer` arguments.
+- `Moshinsky(N, L, n, l, n1, l1, n2, l2, Λ, D)`, Moshinsky brakets, `Integer` arguments, except `D` is a rational (default is `1`).
 
 #### Float functions
 

README_zh.md

@@ -57,7 +57,7 @@ julia> f6j(6,6,6,6,6,6)
 - `nineJ(j1, j2, j3, j4, j5, j6, j7, j8, j9)`, Wigner 9j系数，参数均为`Real`。
 - `norm9J(j2, j3, j4, j5, j5, j6, j7, j8, j9)`, normalized 9j系数，参数均为`Real`。
 - `lsjj(l1, l2, j1, j2, L, S, J)`, LS耦合到jj耦合的转换系数，它实际上等于一个normalized 9j系数，但更易于使用且更快。`j1, j2`是`Real`，其余必须是整数。
-- `Moshinsky(N, L, n, l, n1, l1, n2, l2, Λ)`, Moshinsky括号，参数均为`Real`。
+- `Moshinsky(N, L, n, l, n1, l1, n2, l2, Λ, D)`, Moshinsky括号，量子数都是整数，`D`是有理数，默认为`1`。
 
 #### 浮点数函数
 
@@ -73,7 +73,7 @@ julia> f6j(6,6,6,6,6,6)
 - `f9j(dj1, dj2, dj3, dj4, dj5, dj6, dj7, dj8, dj9)`, Wigner 9j系数。
 - `fnorm9j(dj1, dj2, dj3, dj4, dj5, dj6, dj7, dj8, dj9)`, normalized 9j系数。
 - `flsjj(l1, l2, dj1, dj2, L, S, J)`, LS耦合到jj耦合的转换系数。
-- `fMoshinsky(N, L, n, l, n1, l1, n2, l2, Λ)`, oshinsky括号
+- `fMoshinsky(N, L, n, l, n1, l1, n2, l2, Λ)`, oshinsky括号。
 - `dfunc(dj, dm1, dm2, β)`, Wigner d 函数。
 
 

src/WignerSymbols.jl

@@ -767,7 +767,7 @@ end
 
 
 @doc raw"""
-    Moshinsky(N::Integer, L::Integer, n::Integer, l::Integer, n1::Integer, l1::Integer, n2::Integer, l2::Integer, Λ::Integer)
+    Moshinsky(N::Integer, L::Integer, n::Integer, l::Integer, n1::Integer, l1::Integer, n2::Integer, l2::Integer, Λ::Integer, D::Union{Rational,Integer}=1)
 Moshinsky bracket，Ref: Buck et al. Nuc. Phys. A 600 (1996) 387-402.
 This function is designed for demonstration the exact result,
 It only calculate the case of ``\tan(\beta) = \sqrt{m_1\omega_1/m_2\omega_2} = 1``.