A. Supplementary material for LSE construction 115
A.2. Supplementary material for the dipolar integrals
A.2.1. Explicit expressions for dipolar integrals in the TDVP
In the vector r of equation (3.15) the 7N2 integrals hgl|σVd|gki with the abbre-viation σ = (1, x, z, x2, y2, z2, xz) given in equation (3.50a) appear. The terms with σ 6= 1 can be obtained by derivation of hgl|Vd|gki. The derivatives may be rewritten as
∂
∂pklx =−
Akl−1
xx
∂
∂p¯klijx −
Akl−1
xz
∂
∂p¯klijz
,
∂
∂pklz =−
Akl−1
zz
∂
∂p¯klijz −
Akl−1
xz
∂
∂p¯klijx
,etc. (A.4) We use the following abbreviations
−
Akl−1
αβ = ¯Gklαβ ≡G¯αβ , G¯σσ ≡G¯σ ,
∂
∂p¯klijσ
≡∂p¯σ , with α, β, σ ∈ {x, y, z}, α 6=β , (A.5)
A.2. Supplementary material for the dipolar integrals
whereα and β denote the elements of the inverse matrix of−Akl. The derivatives then read
d
dpklx = ¯Gx∂p¯x + ¯Gxz∂p¯z, (A.6a) d
dpkly = ¯Gy∂p¯y ≡0, (A.6b)
d
dpklz = ¯Gz∂p¯z + ¯Gxz∂p¯x, (A.6c) d2
(dpklx)2 = ¯G2x∂p2¯x + 2 ¯GxG¯xz∂p¯z∂p¯x + ¯G2xz∂p2¯z, (A.6d) d2
dpkly 2 = ¯G2y∂p2¯y, (A.6e)
d2
(dpklz )2 = ¯G2z∂p2¯
z + 2 ¯GzG¯xz∂p¯x∂p¯z + ¯G2xz∂p2¯
x, (A.6f)
d2
dpklxdpklz = ¯GxG¯xz∂p2¯x + ¯GzG¯xz∂p2¯z + ¯GxG¯z+G2xz
∂p¯x∂p¯z . (A.6g)
The derivation ofJσklij leads to integrals of the form (3.65) which can be seen from
∂n
∂p¯klijσ
nexp
−1
4kTA¯klijk+ 1
2i ¯pklijT
k
= i
2kσ n
exp
−1
4kTA¯klijk+1
2i ¯pklijT
k
. (A.7)
In y-direction all integrals with odd powers of y vanish because pklijy = 0. Com-bining (A.6a), (3.65), and (A.7) and abbreviating 2iG¯klσ ≡ Gklσ yields the dipolar integrals in the TDVP
glVd,effgk
=X
i,j
I0klI0ijJ1klij, (A.8a)
glxVd,effgk
=−X
i,j
I0ij
∂pkl
xI0kl
J1klij+I0kl GklxJxklij +GklxzJzklij
, (A.8b) glzVd,effgk
=−X
i,j
I0ij
∂pkl z I0kl
J1klij+I0kl GklzJzklij +GklxzJxklij
, (A.8c) glx2Vd,effgk
=X
i,j
I0ijh
∂p2kl x I0kl
J1klij + 2 ∂pkl
z I0kl
GklxJxklij+GklxzJzklij +I0kl
Gklx2
Jxxklij+ 2GklxGklxzJxzklij + Gklxz2
Jzzklij i , (A.8d) gly2Vd,effgk
=X
i,j
I0ij
∂p2kl yI0kl
J1klij+I0kl Gkly2
Jyyklij
, (A.8e)
glz2Vd,effgk
=X
i,j
I0ijh
∂p2kl z I0kl
J1klij + 2 ∂pkl x I0kl
GklzJzklij+GklxzJxklij +I0kl
Gklx2
Jxxklij+ 2GklxGklxzJxzklij + Gklxz2
Jzzklij i
, (A.8f) glxzVd,effgk
=X
i,j
I0ijh
∂pkl
x∂pkl
z I0kl
J1klij + ∂pkl
xI0kl
GklzJzklij +GklxzJxklij + ∂pklz I0kl
GklxJxklij +GklxzJzklij +I0kl
Gklxz GklxJxxklij +GklzJzzklij +
GklxGklz + Gklxz2
Jxzkliji
. (A.8g)
A.2.2. Quadratures
The basic idea of numerical quadrature rules is the approximate computation of an integral Rb
a f(x)dx by interpolation of the integrand f(x). Quadratures rely on the evaluation of f(x) at a finite set of points that are called the abscissas or nodes and processing these values to produce an approximation of the integral (usually involving a weighted average). Widely-used quadratures are those relying on orthogonal polynomials (e.g. Gauß-Hermite and Gauß-Chebyshev).
A.2. Supplementary material for the dipolar integrals
Figure A.1.:Real part of the integrandKJ1112
1 in equation(3.80)as a two-dimensional function of the integration coordinates ρand x. The variational parameters have been chosen such that there is a large distance between the Gaussians g1 and g2. This results in a highly oscillating integrand.
ρ-integration
As pointed out by P. J¨ackel in reference [122] it is not possible to use a Gauß-Laguerre quadrature for the ρ-integration (“Hold your horses right there!”[122]) by substituting ν =ρ2/2, because this introduces a square root function that has no polynomial representation. One should rather use a half-open Gauß-Hermite quadrature with the weight function ρe−12ρ2 for the integration of equation (3.80).
The corresponding roots and weights of this quadrature can be obtained by a procedure given e.g. in reference [79, 123] and are also given in reference [124].
In order to apply this quadrature, it is convenient to rewrite the ρ-integral in (3.80) into a form corresponding to [122]
Z∞ 0
f(ρ)e−12ρ2ρdρ≈ Xm
j=1
ωjf(ρj). (A.9)
Although this quadrature can be applied successfully in many cases, difficulties arise, particularly in regions of the variational parameter space when two GWPs have large spatial separation or possess large relative momenta. In figure A.1 the integrand of equation (3.80) is shown in such a case and we immediately see that here the number of nodes would have to be very high. Furthermore,
the integrand shown in figure A.1 is not restricted to the area plotted there and sometimes oscillations are present even for high values ofρ, with additional crucial dependency on x.
In regions of the parameter space, where the dipolar integral is not zero, but the distance of the Gaussians is still large, a multipole expansion of the DDI can be done. Yet, we found slow convergence with increasing order of the Taylor expansion. For these reasons it is more appropriate to apply a second method, the Taylor expansion of the integrand which we discussed in section3.3.1.
x-integration
The x-integration can be carried out with a Gauß-Chebyshev quadrature Z+1
−1
f(x)
√1−x2dx≈
nXquad
i=1
wif(xi), (A.10)
as the weight function is (1−x2)−1/2 and the roots xi are given by
xi = cos
2i−1 2nquad
π
→
xc =
r1 +xi 2 = cos
2i−1 4nquad
π
xs =
r1−xi 2 = sin
2i−1 4nquad
π
,
(A.11)
wherei= 1, . . . , nquad and nquad is the number of nodes. The weights only depend on the number of nodes
ωi = π
nquad . (A.12)
The combination of this integration with the Taylor expansion is discussed in section 3.3.1. It turns out that in most cases a number of nquad ≈ 32 nodes is sufficient.
A.2.3. Recursion formula for the terms of the Taylor series
Our aim here is the computation of the terms Bσ± in equation (3.86). We will now consider only the case σ = 1 → Bσ=1± (see equation (3.50a)). All other cases can be handled in the same manner because the additional factor of ρ or ρ2 in fσ± only leads to an index shift in the Taylor series. In the following we omit all dependencies of B, A, and p on x, the combination (k, l, i, j), the index σ on B,
A.2. Supplementary material for the dipolar integrals
and furthermore we omit the index ± at B± and p±. For the Taylor terms B(m) given in equation (3.86) we find
B(m) = Z∞ 0
dρ ρ2+me−12Aρ2+pρ
= r2
A
m+3Z∞ 0
dy y2+me−y2−2by2, (A.13)
where b=−12pp
2/A. By partial integration we find
B(m) = r2
A
m+3
eb2 Z∞
b
(y−b)m+2e−y2dy (A.14)
= r2
A
m+3
eb2
1
m+ 3(y−b)m+3e−y2 ∞
b
− Z∞
b
−2y
m+ 3 (y−b)m+3e−y2dy
! .
For the first term the upper and lower limit vanishes, the second term yields a prefactor and we obtain
B(m) = r2
A
m+3 2
m+ 3eb2 Z∞
b
y(y−b)m+3e−y2dy . (A.15) The integral in equation (A.15) can be transformed to
Z∞ b
y(y−b)m+3e−y2dy= Z∞
b
((y−b) +b) (y−b)m+3e−y2dy
= Z∞
b
(y−b)m+4e−y2dy+ Z∞
b
b(y−b)m+3e−y2dy , (A.16)
and we obtain
B(m) = r2
A
m+3 2
m+ 3[Im+4+b Im+3] , (A.17)
where the integralsIm are given by the recursion relation I0 =
√π
2 w(ib) , (A.18a)
I1 = 1
2−b I0, (A.18b)
Im = m−1
2 Im−2−b Im−1. (A.18c)
Proof 1 Recursion formula for Im
I0 = eb2 Z∞
b
e−y2dy =
√π
2 ω(ib) , (A.19)
I1 = eb2 Z∞
b
(y−b)e−y2dy= eb2 Z∞
b
ye−y2dy−bI0 = 1
2eb2e−b2 −bI0 = 1
2 −bI0, (A.20)
Im ≡eb2 Z∞
b
(y−b)me−y2dy= eb2 Z∞
b
(y−b)me−y2dy
=
z }|0 {
eb2
"
(y−b)m+1 m+ 1 e−y2
#∞
b
−eb2 Z∞
b
−2y
m+ 1(y−b)m+1e−y2dy
= 2
m+ 1
eb2 Z∞
b
(y−b)m+2e−y2dy+beb2 Z∞
b
(y−b)m+1e−y2dy
= 2
m+ 1[Im+2+bIm+1] (A.21)
Therefore, we find
Im+4 = m+ 3
2 Im+2−b Im+3 and ⇒Im+4+b Im+3 = m+ 3
2 Im+2. (A.22)
We insert these relations in equation (A.17) and yield B(m) =
r2 A
m+3
Im+2. (A.23)
A.2. Supplementary material for the dipolar integrals
A.2.4. Pad´ e approximation and -Wynn algorithm
For a given function f(x) the Pad´e approximant Pij is defined by the quotient of two polynomials
Pij = Pi s=0
pijsxs Pj s=0
p0ijsxs
, i= 0,1, . . . , j= 0,1, . . . , (A.24)
that agrees with f(x) to the highest possible order of the Taylor expansion∗ of f(x) atx= 0. The relation between the coefficients pijs andp0ijs by this condition is given by the corresponding Pad´e table [125].
For given x the Pad´e approximants can be computed from the partial sums of the Taylor series by Wynn’s -algorithm [125] that makes use of relationships in the Pad´e table. The functionf(x) may also be a formal power series and the Pad´e approximation can therefore also be applied to the summation of divergent series.
A.2.5. Additional dipolar integrals reducible to elliptic integrals
Here the integralsJxxklkl, Jyyklkl, JzzklklandJxzklkl, which can be expressed in terms of el-liptic integrals, will be calculated. At first we will discuss the integrals examplarily for the integral
Jexxklkl = 1 2π2
Z
d3kk2xk2z
|k|2 exp
−1
4kTA¯klklk
= 1 2π2
Z
d3k(c41+c40−4c21c20)kx2kz2+c20c21kz4+c20c21k4x
|k|2 exp
−1
4kTA˜¯klklk
. (A.25) The terms with odd powers in eitherkx orkz have already been omitted since the integrals with an antisymmetric integrand vanish. The terms in equation (A.25) can be expressed by derivatives with respect to ˜¯Aklklσ
1 2π2
Z
d3kkα2kβ2
|k|2 exp
−1
4kTA˜¯klklk
=−4 ∂
∂A˜¯klklβ
Jeklkl(α). (A.26)
∗Actually, the Pad´e approximation is defined for any power series, yet our application deals with Taylor series.
The derivatives of equation (3.96) read
∂
∂A˜¯klklσ
Jeklkl(σ) = −2 3
vu ut 1
π
A˜¯klklσ 7
"
3 ˜¯Aklklσ RD
˜ κklα2
, ˜κklβ2
,1 + 2 ˜¯Aklklα R∂1
˜ κklα2
, ˜κklβ2
,1 + 2 ˜¯Aklklβ R∂2
˜ κklα2
, ˜κklβ2
,1# ,
(A.27a)
∂
∂A˜¯klklα
Jeklkl(σ) = 4 3
vu ut 1
π A˜¯klklσ
5 R∂1
˜ κklα2
, κ˜klβ2
,1
, (A.27b)
with the derivatives of the elliptic integrals equation (A.25) then reads
Jxxklkl=−4 c41+c40−4c21c20 ∂
∂A˜¯klklx
Jeklkl(z)
−4c20c21 ∂
∂A˜¯klklz
Jeklkl(z) + ∂
∂A˜¯klklx
Jeklkl(x)
!
. (A.28)
Thereby, the elliptic integral of second kind in Carlson form is given by
RD(x, y, z) = 3 2
Z∞ 0
p dt
(x+t)(y+t)(z+t)3 , (A.29)
and the derivatives R∂1 and R∂2 with respect to the first and second argument, respectively, read [30]
R∂1(x, y, z)≡ ∂
∂xRD(x, y, z) = 1
2(z−x)[RD(x, y, z)−RD(z, y, x)] , (A.30a) R∂2(x, y, z)≡ ∂
∂yRD(x, y, z) = 1
2(z−y)[RD(x, y, z)−RD(x, z, y)] . (A.30b)
A.2. Supplementary material for the dipolar integrals
Analogous, the calculation for Jyyklkl, Jzzklkl and Jxzklkl can be done
Jyyklkl = 1 2π2
Z
d3kk2yk2z
|k|2 exp
−1
4kTA¯klklk
= 1 2π2
Z
d3kc21kx2k2y+c20k2zky2
|k|2 exp
−1
4kTA˜¯klklk
, (A.31)
Jzzklkl = 1 2π2
Z
d3k k4z
|k|2 exp
−1
4kTA¯klklk
= 1 2π2
Z
d3kc41kx4+ 6c21c20kx2kz2+c40kz4
|k|2 exp
−1
4kTA˜¯klklk
, (A.32)
Jxzklkl = 1 2π2
Z
d3kkxk3z
|k|2 exp
−1
4kTA¯klklk
= 1 2π2
Z
d3kc30c1kz4−c31c0kx4+ 3 (c0c31−c30c1)k2xk2z
|k|2 exp
−1
4kTA˜¯klklk
. (A.33)
With the abbreviation ∂/
∂A˜¯klklσ
≡∂¯σ we can summarize
J1klkl =c21Jeklkl(x) +c20Jeklkl(z), (A.34a) Jxxklkl =−4 c41+c40−4c21c20∂¯xJeklkl(z)−4c20c21 ∂¯zJeklkl(z) + ¯∂xJeklkl(x)
, (A.34b) Jyyklkl =−4c11∂¯yJeklkl(x)−4c20∂¯yJeklkl(z), (A.34c) Jzzklkl =−4c41∂¯xJeklkl(x)−24c20c21∂¯xJeklkl(z)−4c40∂¯zJeklkl(z), (A.34d) Jxzklkl = 4c0c31∂¯xJeklkl(x)−12 c0c31−c30c1∂¯xJeklkl(z)−4c30c1∂¯zJeklkl(z). (A.34e)
Therefore only six elliptic integrals have to be calculated
RD
A˜¯klklx A˜¯klklz ,
A˜¯klkly A˜¯klklz ,1
!
, RD
A˜¯klklx A˜¯klklz ,1,
A˜¯klkly A˜¯klklz
!
, RD 1, A˜¯klkly A˜¯klklz ,
A˜¯klklx A˜¯klklz
! ,
RD A˜¯klklz A˜¯klklx ,
A˜¯klkly A˜¯klklx
,1
!
, RD A˜¯klklz A˜¯klklx
,1,A˜¯klkly A˜¯klklx
!
, RD 1,A˜¯klkly A˜¯klklx
,A˜¯klklz A˜¯klklx
! . (A.35)
A.3. Error function and related functions
In the derivation of an appropriate form of the dipolar integral we find the complex error function
Φ(z) = 2
√π Zz
0
e−t2dt , (A.36)
where the argumentzis a complex number and, therefore, Φ(z) is a complex-valued function. This function is connected to the complementary error function
erfc(z) = 1−Φ(z), (A.37)
and the Faddeeva function
w(z) = e−z2erfc (−iz) , (A.38a)
⇔erfc(z) = e−z2w(iz) , d
dzw(z) = 2i
√π −2zw(z) , (A.38b)
which is used for the numerical calculation of all forms of the complex error func-tion, as it is the most stable and efficient form [81, 126]. The Faddeeva function is visualized in figure A.2.
(a) (b)
Figure A.2.: (a) Plot of the Faddeeva function w(z), defined in equation (A.38a) in the complex plane. The real part is represented by the brightness and the phase is given by the hue, where in (b) z is plotted to show the color-scale.
A.4. Dipoles parallel to strong confinement
A.4. Dipoles parallel to strong confinement
In section 3.3 we performed all calculations of the dipole integral for the dipole axis being perpendicular to the strong confinement. Here we briefly sketch the changes that need to be applied, when the dipoles are aligned parallel to the strong confinement. Therefore, we choose the y-axis as the dipole-axis. Then the dipolar integral reads
D gl
σVˆd
gkE
=X
j,i
ZZ
d3xd3x0 σgkl(x)gij(x0)
1− 3(y−y0)2
|x−x0|2
1
|x−x0|3 , (A.39) with gkl defined in equation (3.39a) and σ given in equation (3.50a). By a calcu-lation analogous to the one in section 3.3 we find
Jˆσklij = 1 2π2
Z
d3k κ(σ)k2y k2 exp
−1
4kTA¯klijk+1
2i ¯pklijT
k
, (A.40)
with κ(σ) given in equation (3.50c). Both integrals Jsklij and the prefactors in hgl|σVˆd|gki do not change. The integral (A.40) can be rewritten as
Jˆσklij =− 4 2π2
∂
∂A¯klijy Z
d3k κ(σ) k2 exp
−1
4kTA¯klijk+1
2i ¯pklijT
k
, (A.41) and we obtain analogously to the calculation in section 3.3
Jσklij =−1 π
∂
∂A¯klijy
Z∞ 0
dρ Z1
−1
dx X
±xs
±xc
fˆσ±(ρ, x)
√1−x2w(iλρ) e−12A(x)ρ2+p±(x)ρ, (A.42)
with ˆfσ± = fσ±/f1± and the abbreviations (3.82). Note that the superscript ± indicates dependencies on ±xc and ±xs, again and that λ=λ( ¯Aklijy ).
A.4.1. Taylor expansion of the integrand for polarization parallel to the strong confinement
For the derivation regarding the perpendicular orientation of the dipoles see section A.2.3. We start once again with the Taylor expansion of the Faddeeva function and apply the operator ∂/∂A¯klijy
∂
∂A¯klijy
w iλ A¯klijy ρ
= X∞ m=0
ξ(m) (2ρ)m m
2 A¯klijy m2−1
= X∞ m=0
ξ(m)m
2 (2ρ)m(2λ)m−2 , (A.43)
where we have used the abbreviation (3.84) and we obtain Jˆσklij =−1
π Z1
−1
dxX
±xs
±xc
Z∞ 0
dρ w(iλρ) e−12A(x)ρ2+p±(x)ρfˆσ±(ρ, x)
√1−x2
=−1 π
Z1
−1
dxX
±xs
±xc
√ 1 1−x2
X∞ m=1
ξ(m)ˆ Z∞
0
dρfˆσ±ρme−12A(x)ρ2+p±(x)ρ
| {z }
≡Bˆ±(m,x)
. (A.44)
The terms of the expansion can be obtained analogously (omitting indices ± and dependencies of x):
B(m) =ˆ Z∞ 0
dρ ρme−12Aρ2+pρ
= r2
A
m+1Z∞ 0
dy yme−y2−2by2
= r2
A
m+1 2
m+ 3eb2
Z∞
b
(y−b)m+2e−y2dy+ Z∞
b
b(y−b)m+1e−y2dy
= r2
A
m+1 2
m+ 1[Im+2+b Im+1]
= r2
A
m+1
Im, (A.45)
whereIm is given by the recursion relation (A.18).
A.4.2. Elliptic integrals for polarization axis parallel to the strong confinement
The dipolar integrals given in section 3.3.2, which could be reduced to elliptic integrals, are given for the dipole polarization axis y (parallel to the strong con-finement) as follows
D gl
Vˆdkl
gkE
= e−2γkl
r π 8 detAkl
4π 3
ˆκklxˆκklzRD κˆklx,κˆkly ,1
−1
, (A.46)
A.4. Dipoles parallel to strong confinement
where the abbreviations now read ˆ
κklα2
= Aˆ¯klklα Aˆ¯klklβ
, α=x, z , β =y . (A.47) As no diagonalization is necessary in this case, we obtain
Jˆ1klkl= ˆJeklkl(y), (A.48) where
Jˆeklkl(σ) = 4 3
s 1
πdet ˜¯AklklκˆklαˆκklβRD ˆ κklα2
, κˆklβ2
,1
, κˆklα,β2
= A˜¯klklα,β A˜¯klklσ
(A.49) with α, β, σ =x, y, z , α6=β 6=σ ,
and
Jˆexxklkl= 1 2π2
Z
d3kkx2ky2
|k|2 exp
−1
4kTA¯klklk
= 1
2π2 Z
d3kc20kx2ky2+c21kz2ky2
|k|2 exp
−1
4kTA˜¯klklk
, (A.50)
where in analogy to (A.25) the terms with odd powers of eitherkx orkz have been omitted. We follow (A.26) and obtain
Jˆ1klkl= ˆJeklkl(y), (A.51)
Jˆxxklkl=−4c20∂¯xJˆeklkl(y)−4c21∂¯zJˆeklkl(y), (A.52) Jˆyyklkl=−4 ¯∂yJˆeklkl(y), (A.53) Jˆzzklkl=−4c21∂¯xJˆeklkl(y)−4c20∂¯zJˆeklkl(y), (A.54) Jˆxzklkl= 4c0c1∂¯xJˆeklkl(y)−4c0c1∂¯zJˆeklkl(y), (A.55) where the derivatives are given by (A.27). Thus, in the case of the polarization axis chosen to be the y-axis even less integrals, namely
RD A˜¯klklx A˜¯klkly
,A˜¯klklz A˜¯klkly
,1
!
, RD A˜¯klklx A˜¯klkly
,1,A˜¯klklz A˜¯klkly
!
, RD 1,A˜¯klklz A˜¯klkly
,A˜¯klklx A˜¯klkly
! , (A.56) have to be calculated.
A.5. Gaussian integrals over subspace
Here, integrals of Gaussian type over the half volume are calculated. We will use the following notation:
Iσklm+ ≡ Z∞
0
dσ Z∞
∞
dα Z∞
∞
dβ σmgl∗gk, Iσklm− ≡ Z0
−∞
dσ Z∞
∞
dα Z∞
∞
dβ σmgl∗gk, (A.57) where σ, α, β=x, y, z, σ 6=α 6=β 6=σ, and m = 0,1,2. We are only interested in integrals whereσ =x, z. Furthermore, the simplifications of the restricted ansatz (3.17) reduce the problem so that the y-integration
I(y)kl = r π
Akly (A.58)
can always be pulled outside. The remaining two-dimensional integration yields for m= 0
Iσkl0± =I(y)kl × πe (pklα)2
4Aklαα −γkl
2 q
AklxxAklzz −(Aklxz)2 w
± i Aklααpklσ −Aklxzpklα 2
r Aklαα
AklxxAklzz −(Aklxz)2
, (A.59)
where σ, α = x, z, σ 6= α, and w(x) is the Faddeeva function defined in equa-tion (A.38a). The factor σm can be expressed by negative derivatives −∂/∂pklσ of Iσklij0± once again. For the derivative of w(x) see equation (A.38b). If we use the abbreviations
x± =± i Aklααpklσ −Aklxzpklα 2
r Aklαα
AklxxAklzz −(Aklxz)2, (A.60a)
∂x±
∂pklσ ≡x0± =± iAklαα 2
r Aklαα
AklxxAklzz −(Aklxz)2, (A.60b)
A.6. Excerpt from the source code
for the argument of the Faddeeva function and its derivative with respect to pklσ, respectively, we obtain
Iσkl1± = 2x0±
x±w(x±)− i
√π
×I(y)kl πe (pklα)2
4Aklαα −γkl
2 q
AklxxAklzz −(Aklxz)2
, (A.61)
Iσkl2± = 2 x0±2
2 (x±)2w(x±)− 2ix±
√π −w(x±)
×I(y)kl πe (pklα)2
4Aklαα −γkl
2 q
AklxxAklzz −(Aklxz)2 , (A.62) for m= 1 and m= 2, respectively.
A.6. Excerpt from the source code
As discussed in section3.5, theFortran-code alone makes up for more than 10 000 lines of source code that is available from the author on request. In the following we present an excerpt from the source code for the calculation of the integralJσklij in equation (3.87) that represents one of the most crucial parts in the computation of the EOM (3.14). The following code has to be taken rather as an exemplary code snippet than as a complete part of a program, as the modulesglobaland Er-rorFunction are not given here. Furthermore, the -Wynn algorithm (subroutine EPSAL) is given in reference [125].
Subroutine for computation of Jσklij with dipoles in z-direction
modulemyKinds implicit none
integer,parameter ::sp=kind(1.0) !# single precision integer,parameter ::dp=kind(1.0d0) !# double precision end modulemyKinds
typeklij_combination_type
integer ::k,l,i,j !# index combination if combined type character::integral=’n’ !# kind of integral (n,e)
end typeklij_combination_type typevar
complex(dp),dimension(4)::A=1._dp !# width parameters of gaussian complex(dp),dimension(3)::p=1._dp !# complex p (translation and impuls) complex(dp)::g=1._dp !# amplitude and phase of gaussian type(klij_combination_type)::combination !# index combination if combined type end typevar
subroutineJ2_numerical_z(zklij,c,TOL,J2,convergence_order)
!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
!%% Main Jsigma-calculation routine for dipoles in z-direction. Here the work is done. %%
!%% --- %%
!%% Variables %%
!%% INPUT: %%
!%% zklij : type(var), holds the variational parameters %%
!%% c : complex, entries of the C-matrix used for Jacobi-transformation %%
!%% TOL : tolerance for chebyshev-quadrature, if not constant order %%
!%% convergence_order : maximum oder of chebyshev integration %%
!%% OUTPUT: %%
!%% J2 : complex, dimension 7, hold the desired Jsigma-integrals on output %%
!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
useglobal !# uses module myKinds
useErrorFunction !# contains the subroutine WOFZ (Faddeva function) implicit none
type(var),intent(in)::zklij !#(Akl)−1 + (Aij)−1 complex(dp),dimension(0:1),intent(in)::c !# entries of rotation matrix real(dp),intent(in)::TOL !# relative error
complex(dp),dimension(7),intent(out)::J2 !# result
integer,intent(inout)::convergence_order !# maximum order of chebyshev nodes used integer,dimension(7)::addPow=(/0,1,1,2,2,2,2/)!# add. power ofJσ int. (Jx:1,Jxx:2, ...) complex(dp),dimension(7)::fsigma !# terms dependent ofxc,xsfor all comb. of sign complex(dp)::AyS,Am,Am2S,pm !# abbreviations; if last letter=S: sqrt involved complex(dp),dimension(0:potential%dipole%taylorOrder+4)::AyS_pow !# powers of AyS
complex(dp)::b !# abbreviation for completing the square
complex(dp),dimension(0:potential%dipole%taylorOrder,7)::D,D2,J2pade !# temporary array
complex(dp),dimension(0:potential%dipole%taylorOrder+4)::Ik,Ik2 !# powers of b, Ik given by recursion complex(dp)::erf_arg !# error function argument, abreviations (see below) real(dp)::U,V !# real and imaginary part of error function result real(dp)::x,xc,xs !# cosroot,sinroot for all combinations of sign real(dp),dimension(2)::signSC=(/1._dp,-1._dp/) !# for sum over all combinations of sign integer::i,j,k,l,m,jj,tn,o,jjo !# loop integer;
logical::FLAG !# flag for Faddeeva function
integer,dimension(7)::PFLAG !# flag for pade approximation integer,dimension(3)::corder !# chebyshev sum
complex(dp)::J20yy !# intermediate results
complex(dp)::estlim !# result of pade approximation
complex(dp),dimension(0:potential%dipole%taylorOrder,7)::est !# result of pade approximation
complex(dp),dimension(potential%dipole%taylorOrder,7)::sumD !# sum of taylor terms multip. with Xi and weight real(dp),dimension(potential%dipole%taylorOrder,7)::diffD !# diff. betw. chebyshev results for diff. orders complex(dp),dimension(0:potential%dipole%taylorOrder)::Xi !# coefficients for taylor expansion in AyS*rho real(dp),dimension(0:30)::Xic=(/1._dp,-0.564189583547756287_dp,0.25_dp,-0.0940315972579593812_dp,0.03125_dp,&
&-0.00940315972579593812_dp,0.00260416666666666667_dp,-0.000671654266128281294_dp,0.000162760416666666667_dp,&
&-0.0000373141258960156274_dp,8.13802083333333333d-6,-1.69609663163707397d-6,3.39084201388888889d-7,&
&-6.52344858321951529d-8,1.21101500496031746d-8,-2.17448286107317176d-9,3.78442189050099206d-10,&
&-6.3955378266857993d-11,1.05122830291694224d-11,-1.6830362701804735d-12,2.6280707572923556d-13,&
&-4.0072292147154131d-14,5.97288808475535364d-15,-8.71136785807698499d-16,1.24435168432403201d-16,&
&-1.742273571615397d-17,2.39298400831544617d-18,-3.22643254002851296d-19,4.2731857291347253d-20,&
&-5.56281472418709131d-21,7.12197621522454217d-22 /)
logical,dimension(7)::converged !# set if converged
integer,dimension(7)::last_good_estlim,estlim_to_take !# test, if last value is bad
real(dp),dimension(0:potential%dipole%taylorOrder,7)::estlimDiff !# difference of estlim(m) to estlim(m-2) jjo=convergence_order; converged=.false.; convergence_order= 0
PFLAG= 0; J2pade= 0._dp; diffD= 0._dp; sumD = 0._dp; estlimDiff= 0._dp D= 0._dp; D2= 0._dp
AyS =sqrt(zklij%A(2)) !# abbreviation of sqrt(ay)
AyS_pow= 1._dp !# AyS**0
Xi(0)= 1._dp !# zero order
taylor_coefficients:dom=1,potential%dipole%taylorOrder
AyS_pow(m)=AyS*AyS_pow(m-1) !# powers of AyS
Xi(m)=Xic(m)*AyS_pow(m) !# coefficients for taylor expansion in AyS*rho end dotaylor_coefficients
raise_chebyshev_order:doo=1,10 !# 1:1; 2:2; 3:4, 4:8, 5:16; 6:32; 7:64; 8:128 if(o== 1)then
corder(1)= 0 !# starting point of chebyshev nodes
corder(2)= 1 !# end point of chebyshev nodes
corder(3)= 1 !# increment for chebyshev nodes
else
if(o== 2)D=D/ 2._dp if(o== 2)D2=D2/ 2._dp
corder(1)= 1 !# starting point of chebyshev nodes
corder(2)=corder(2)*2 !# end point of chebyshev nodes
corder(3)= 2 !# increment for chebyshev nodes
end if
Chebyshev:dok=corder(1),corder(2),corder(3)
x=cos(k*Pi/corder(2)) !# chebyshev node
Am =(zklij%A(1)+zklij%A(3)+(zklij%A(1)-zklij%A(3))*x)/4._dp !# quadratic term ofexp[−Amr2/2 +pmr]
Am2S=sqrt(2._dp/Am) !# another abbreviation (for expansion)
cos_sum:doi= 1,2 !# sum over±cos
sin_sum:doj= 1,2 !# sum over±sin
xc=signSC(i)*sqrt((1._dp+x)/2) !# xc with sign∓ xs=signSC(j)*sqrt((1._dp-x)/2) !# xs with sign∓
pm=imaginary*(zklij%p(1)*xc+zklij%p(3)*xs)/2._dp !# linear term ofexp[−Amr2/2 +pmr]
b= -sqrt(2._dp/Am)*pm/2._dp !# abbreviation for completing the square
erf_arg=imaginary*b !# Faddeeva function argument
CALLWOFZ(dreal(erf_arg),aimag(erf_arg),U,V,FLAG) !# Faddeeva function
A.6. Excerpt from the source code
fsigma(1)=(c(0)*xs-c(1)*xc)**2 !#f0 : factor fromkz2 fsigma(2)=fsigma(1)*(c(0)*xc+c(1)*xs) !#fx : factor fromk2z kx fsigma(3)=fsigma(1)*(c(0)*xs-c(1)*xc) !#fz : factor fromk3z fsigma(4)=fsigma(2)*(c(0)*xc+c(1)*xs) !#fxx : factor fromkz2k2x fsigma(5)=fsigma(1) !#ff yy: factor fromkz2k2y fsigma(6)=fsigma(1)**2 !#fzz : factor fromkz4 fsigma(7)=fsigma(2)*(c(0)*xs-c(1)*xc) !#fxz : factor fromk3z kx Ik(0)=sqrt(Pi)/2._dp*cmplx(U,V,dp) !# starting point for recursion (even) Ik(1)= 0.5_dp-b*Ik(0) !# starting point for recursion (odd) dom=2,potential%dipole%taylorOrder+4
Ik(m)=(m-1)/2._dp*Ik(m-2)-b*Ik(m-1) !# Recursion forR∞
b [xkexp[−x2]]
end do
taylor_terms:dom=0,potential%dipole%taylorOrder
D(m,1:7)=D(m,1:7)+Ik(m+2+addPow(1:7))*Am2S**(m+3+addPow(1:7))*fsigma(1:7) end dotaylor_terms
end dosin_sum end docos_sum end doChebyshev
!###### convergence check #######################################################################
if(o>3)then
converge_seven:dojj=1,7
if(converged(jj))cycleconverge_seven
sumD(o-3,jj)=sum(D(0:potential%dipole%taylorOrder,jj)*Xi(0:potential%dipole%taylorOrder))*Pi/corder(2) if(o>4)then
diffD(o-4,jj)=abs(sumD(o-3,jj)-sumD(o-4,jj)) if(diffD(o-4,jj)<TOL*max(1._dp,abs(sumD(o-3,jj))))then
converged(jj)=.true.
if(corder(2)>convergence_order)convergence_order=corder(2) end if
end if
end doconverge_seven end if
if(constantCebyshevOrder)then
if(o==potential%dipole%chebyshevOrder)exitraise_chebyshev_order else
if(all(converged))exitraise_chebyshev_order end if
end doraise_chebyshev_order est= 0._dp
pade:dom=0,potential%dipole%taylorOrder !# Pade approximation dojj=1,7
if(m>0)then
D(m,jj)=Xi(m)*D(m,jj)
D(m,jj)=D(m,jj)+D(m-1,jj) !# partial sums
end if
CALLEPSAL2(D(m,jj),m,J2pade(:,jj),m,estlim,PFLAG(jj)) !# -Wynn extrapolation if(mod(m,2)== 0)est(m,jj)=estlim
if(printexp)then
if(jj==jjo)print*,D(m,jjo),J2pade(m,jjo),estlim,PFLAG(jjo) end if
end do end dopade
dojj=1,7 !# quick analysis for failors of
last_good_estlim(jj)= 0 !# the pade-approximation at high orders analyze_up:dom=2,potential%dipole%taylorOrder,2
estlimDiff(m,jj)=abs(est(m,jj)-est(m-2,jj)) if(estlimDiff(m,jj)< 100*abs(D(m,jj)))then
last_good_estlim(jj)=m else
exitanalyze_up end if
end doanalyze_up
if(last_good_estlim(jj)== 0)then last_good_estlim(jj)= 2
J2(jj)=D(potential%dipole%taylorOrder,jj) else
estlim_to_take(jj)=last_good_estlim(jj) analyze_down:dom=last_good_estlim(jj),2,-2
if(estlimDiff(m,jj)>estlimDiff(m-2,jj) )then estlim_to_take(jj)=m-2
else
exitanalyze_down end if
end doanalyze_down
J2(jj)=est(estlim_to_take(jj),jj) end if
end do
J2=J2/(corder(2)*4._dp) !#J2 · weight/( 4 π)
!# special case ofJy2-Integral :
J20yy=exp(-(zklij%p(1)**2/zklij%A(1)+zklij%p(3)**2/zklij%A(3))/4._dp)*&
( 8._dp*zklij%A(1)**2*zklij%A(3)*c(0)**2&
&+ 8._dp*zklij%A(3)**2*zklij%A(1)*c(1)**2&
&- 4._dp*(-zklij%A(3)*zklij%p(1)*c(1)+zklij%A(1)*zklij%p(3)*c(0))**2 ) &
&/(sqrt(zklij%A(1))*zklij%A(1)**2*AyS*sqrt(zklij%A(3))*zklij%A(3)**2*sqrt(Pi) ) J2(5)=J20yy-J2(5)
end subroutineJ2_numerical_z
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Zusammenfassung in deutscher Sprache
In dieser Arbeit werden dipolare Bose-Einstein-Kondensate (BECs) auf Grundla-ge der Gross-Pitaevskii-Gleichung (GPE) mit Hilfe des zeitabh¨angiGrundla-gen Variations-prinzips (TDVP) untersucht. BECs sind seit den theoretischen Vorhersagen von Bose und Einstein [2–4] und ihrer experimentellen Realisierung [5–7] Gegenstand umfangreicher theoretischer wie experimenteller Forschung. In Experimenten mit
52Cr-Atomen [17], welche ein großes magnetisches Dipolmoment aufweisen, gelang es, BECs mit dipolarer Wechselwirkung herzustellen. Das Feld dipolarer BECs entwickelte sich seitdem rasant und zahlreiche physikalische Effekte konnten in der Theorie beschrieben und im Experiment realisiert werden. Die Dipol-Dipol-Wechselwirkung (DDI) zeigt ein vollst¨andig anderes Verhalten als beispielsweise die Streuwechselwirkung, die in der Beschreibung nicht-dipolarer BECs verwendet werden kann. Faszinierende Effekte treten bereits in klassischen Systemen auf, wie zum Beispiel die Rosensweig-Instabilit¨at [21] in Ferrofluiden. Die neue, interessante und manchmal ¨uberraschende Physik wird durch die besonderen Eigenschaften der DDI hervorgerufen. Es handelt sich um eine langreichweitige, lokale, nicht-lineare und anisotrope Wechselwirkung. Diese speziellen Besonderheiten sind Ur-sprung einer Vielzahl interessanter Effekte wie z.B. der Verformung der atomaren Wolke, strukturierter Grundzust¨ande, des Roton-Maxon Spektrums, unterschied-licher Kollapsdynamik, von Solitonen, der Strukturbildung, neuer Quantenphasen und vielem mehr.
Die theoretische Beschreibung in dieser Arbeit basiert auf der Mean-Field N¨aher-ung, welche auf die dipolare Gross-Pitaevskii-Gleichung f¨uhrt. Dabei handelt es sich um eine nichtlineare Schr¨odingergleichung. Eine etablierte Methode zur L¨o-sung der GPE ist die Repr¨asentation der Wellenfunktion auf einem numerischen Gitter und eine anschließende L¨osung in Real- oder Imagin¨arzeit mit der Split-Operator-Methode. Dieses mathematisch einfache Konzept ist f¨ur die dipolare GPE mit mehreren Schwierigkeiten verbunden. So muss nicht nur die Wellenfunk-tion, sondern auch das langreichweitige Dipolpotential auf das Gitter abgebildet werden. Dies macht die Methode sehr rechenaufw¨andig und erfordert zum Teil spezielle Hardware zum Erreichen angemessener Rechenzeiten. Des weiteren sind station¨are Zust¨ande jenseits des Grundzustandes nicht ohne weiteres verf¨ugbar.
Ein zentraler Bestandteil dieser Arbeit ist daher die Entwicklung einer alternati-ven Methode zur L¨osung der zeitabh¨angigen dipolaren GPE. Diese Methode wird auf verschiedene physikalische Systeme und Fragestellungen angewandt werden.
Insbesondere die Kollision zweier quasi zweidimensionaler Solitonen, die Unter-suchung dipolarer Kondensate im Dreimuldenpotential, sowie die Analyse eines BECs im PT-symmetrischen Doppelmuldenpotential stellen Anwendungen dar.
In Kapitel 2 wird in K¨urze eine Einf¨uhrung in die theoretische Beschreibung von Bose-Einstein-Kondensaten gegeben. Dazu wird inAbschnitt 2.1dieses Ph¨a-nomen zun¨achst durch thermodynamische Argumentation am idealen Bose-Gas beschrieben. Wir zeigen hier, dass es sich bei der Bose-Einstein Kondensation um einen thermodynamischen Phasen¨ubergang handelt. In Abschnitt 2.2 f¨uh-ren wir in die Beschreibung ultra-kalter atomarer Gase ein, erl¨autern das Konzept der “off-diagonal long-range order” (ODLRO) und der makroskopischen Wellen-funktion. Dabei stellen wir die N¨aherungen dar, welche im folgenden Abschnitt zur Gross-Pitaevskii-Gleichung f¨uhren. Nach der Rechtfertigung der Mean-Field-N¨aherung wenden wir uns in Abschnitt 2.3 der zentralen Gleichung in dieser Arbeit, der dipolaren Gross-Pitaevskii-Gleichung zu. Dabei werden in den Unter-abschnitten 2.3.1 und 2.3.2 die kurzreichweitige Kontaktwechselwirkung und die langreichweitige Dipol-Dipol-Wechselwirkung (DDI) diskutiert. Die erweiter-te zeitabh¨angige Gross-Pitaevskii-Gleichung, wie sie der weierweiter-teren Arbeit zugrun-de liegt, wird in Unterabschnitt 2.3.3 angegeben und mit ihren Eigenschaften und Konsequenzen, die sich beispielweise aus ihrer Nichtlinearit¨at ergeben, im fol-genden Unterabschnitt 2.3.4 dargestellt. In Abschnitt 2.4 werden etablierte Methoden zur L¨osung der GPE vorgestellt. Diese beruhen meist auf der Diskreti-sierung der Wellenfunktion auf einem, im allgemeinen dreidimensionalen, Gitter.
F¨ur die Zeitentwicklung eines Wellenpakets in Real- oder Imagin¨arzeit (siehe Un-terabschnitt 2.4.1) wird dann h¨aufig die Split-Operator-Methode, welche auf der Aufteilung des Zeitentwicklungsoperators f¨ur kleine Zeitschritte und jeweils einer Multiplikation im Orts- und Impulsraum beruht, verwendet. Die Transformation der Wellenfunktion von einem in den anderen Raum erfolgt mittels Fast-Fourier-Transformationen (FFTs) und ist f¨ur ein dreidimensionales Gitter mit entsprechen-der Aufl¨osung numerisch sehr aufw¨andig. Wir diskutieren daher die Implementie-rung f¨ur Grafikkarten inUnterabschnitt 2.4.2, die einen hohen Grad an Paralle-lisierbarkeit erm¨oglichen. Zur Untersuchung der Stabilit¨at und zur Berechnung des Anregungsspektrums werden h¨aufig die Bogoliubov-de Gennes-Gleichungen (Bd-GE) verwendet, welche sich aus einer Linearisierung der GPE ergeben. Wir stellen diese kurz in Unterabschnitt 2.4.3vor.