1
0
mirror of https://github.com/TREX-CoE/qmckl.git synced 2024-12-22 20:36:01 +01:00

Added asymp_a

This commit is contained in:
Anthony Scemama 2022-11-17 15:45:22 +01:00
parent ca15c2866d
commit 5a6d064ce0

View File

@ -18,9 +18,10 @@
$J_{\text{eN}}$ contains electron-nucleus terms: $J_{\text{eN}}$ contains electron-nucleus terms:
\[ \[
J_{\text{eN}}(\mathbf{r},\mathbf{R}) = \sum_{i=1}^{N_\text{elec}} \sum_{\alpha=1}^{N_\text{nucl}} J_{\text{eN}}(\mathbf{r},\mathbf{R}) =
\sum_{\alpha=1}^{N_\text{nucl}} \sum_{i=1}^{N_\text{elec}}
\frac{a_{1,\alpha}\, g_\alpha(R_{i\alpha})}{1+a_{2,\alpha}\, g_\alpha(R_{i\alpha})} + \frac{a_{1,\alpha}\, g_\alpha(R_{i\alpha})}{1+a_{2,\alpha}\, g_\alpha(R_{i\alpha})} +
\sum_{p=2}^{N_\text{ord}^a} a_{p+1,\alpha}\, [g_\alpha(R_{i\alpha})]^p - J_{eN}^\infty \sum_{p=2}^{N_\text{ord}^a} a_{p+1,\alpha}\, [g_\alpha(R_{i\alpha})]^p - J_{eN}^{\infty \alpha}
\] \]
$J_{\text{ee}}$ contains electron-electron terms: $J_{\text{ee}}$ contains electron-electron terms:
@ -166,6 +167,8 @@ int main() {
|-------------------------------------+-------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------| |-------------------------------------+-------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------|
| ~dim_c_vector~ | ~int64_t~ | Number of unique C coefficients | | ~dim_c_vector~ | ~int64_t~ | Number of unique C coefficients |
| ~dim_c_vector_date~ | ~uint64_t~ | Number of unique C coefficients | | ~dim_c_vector_date~ | ~uint64_t~ | Number of unique C coefficients |
| ~asymp_jasa~ | ~double[nucl_num]~ | Asymptotic component |
| ~asymp_jasa_date~ | ~uint64_t~ | Ladt modification of the asymptotic component |
| ~asymp_jasb~ | ~double[2]~ | Asymptotic component (up- or down-spin) | | ~asymp_jasb~ | ~double[2]~ | Asymptotic component (up- or down-spin) |
| ~asymp_jasb_date~ | ~uint64_t~ | Ladt modification of the asymptotic component | | ~asymp_jasb_date~ | ~uint64_t~ | Ladt modification of the asymptotic component |
| ~c_vector_full~ | ~double[dim_c_vector][nucl_num]~ | vector of non-zero coefficients | | ~c_vector_full~ | ~double[dim_c_vector][nucl_num]~ | vector of non-zero coefficients |
@ -202,7 +205,7 @@ nucl_coord = np.array([ [0.000000, 0.000000 ],
[0.000000, 0.000000 ], [0.000000, 0.000000 ],
[0.000000, 2.059801 ] ]) [0.000000, 2.059801 ] ])
elec_coord = [[[-0.250655104764153 , 0.503070975550133 , -0.166554344502303], elec_coord = np.array( [[[-0.250655104764153 , 0.503070975550133 , -0.166554344502303],
[-0.587812193472177 , -0.128751981129274 , 0.187773606533075], [-0.587812193472177 , -0.128751981129274 , 0.187773606533075],
[ 1.61335569047166 , -0.615556732874863 , -1.43165470979934 ], [ 1.61335569047166 , -0.615556732874863 , -1.43165470979934 ],
[-4.901239896295210E-003 , -1.120440036458986E-002 , 1.99761909330422 ], [-4.901239896295210E-003 , -1.120440036458986E-002 , 1.99761909330422 ],
@ -211,9 +214,9 @@ elec_coord = [[[-0.250655104764153 , 0.503070975550133 , -0.16655
[-0.232271834949124 , -1.059321673434182E-002 , -0.504862241464867], [-0.232271834949124 , -1.059321673434182E-002 , -0.504862241464867],
[ 1.09360863531826 , -2.036103063808752E-003 , -2.702796910818986E-002], [ 1.09360863531826 , -2.036103063808752E-003 , -2.702796910818986E-002],
[-0.108090166832043 , 0.189161729653261 , 2.15398313919894], [-0.108090166832043 , 0.189161729653261 , 2.15398313919894],
[ 0.397978144318712 , -0.254277292595981 , 2.54553335476344]]]; [ 0.397978144318712 , -0.254277292595981 , 2.54553335476344]]])
ee_distance_rescaled = [ ee_distance_rescaled = np.array([
[ 0.000000000000000, 0.000000000000000, 0.000000000000000, [ 0.000000000000000, 0.000000000000000, 0.000000000000000,
0.000000000000000, 0.000000000000000, 0.000000000000000, 0.000000000000000, 0.000000000000000, 0.000000000000000,
0.000000000000000, 0.000000000000000, 0.000000000000000, 0.000000000000000, 0.000000000000000, 0.000000000000000,
@ -253,7 +256,7 @@ ee_distance_rescaled = [
[ 0.944400908070716, 0.922589018494961, 0.984615718580670, [ 0.944400908070716, 0.922589018494961, 0.984615718580670,
0.514328661540623, 0.692362267147064, 0.931894098453677, 0.514328661540623, 0.692362267147064, 0.931894098453677,
0.956034127544344, 0.931221472309472, 0.540903688625053, 0.956034127544344, 0.931221472309472, 0.540903688625053,
0.000000000000000 ]] 0.000000000000000 ]])
en_distance_rescaled = np.transpose(np.array([ en_distance_rescaled = np.transpose(np.array([
[ 0.443570948411811 , 0.467602196999105 , 0.893870160799932 , [ 0.443570948411811 , 0.467602196999105 , 0.893870160799932 ,
@ -276,16 +279,16 @@ bord_num = 5
cord_num = 5 cord_num = 5
dim_c_vector= 23 dim_c_vector= 23
type_nucl_vector = [ 1, 1] type_nucl_vector = [ 1, 1]
a_vector = [ a_vector = np.array([
[0.000000000000000E+000], [0.000000000000000E+000],
[0.000000000000000E+000], [0.000000000000000E+000],
[-0.380512000000000E+000], [-0.380512000000000E+000],
[-0.157996000000000E+000], [-0.157996000000000E+000],
[-3.155800000000000E-002], [-3.155800000000000E-002],
[2.151200000000000E-002]] [2.151200000000000E-002]])
b_vector = [ 0.500000000000000E-000, 0.153660000000000E-000, 6.722620000000000E-002, b_vector =np.array( [ 0.500000000000000E-000, 0.153660000000000E-000, 6.722620000000000E-002,
2.157000000000000E-002, 7.309600000000000E-003, 2.866000000000000E-003] 2.157000000000000E-002, 7.309600000000000E-003, 2.866000000000000E-003])
c_vector = [ 0.571702000000000E-000, -0.514253000000000E-000, -0.513043000000000E-000, c_vector = [ 0.571702000000000E-000, -0.514253000000000E-000, -0.513043000000000E-000,
9.486000000000000E-003, -4.205000000000000E-003, 0.426325800000000E-000, 9.486000000000000E-003, -4.205000000000000E-003, 0.426325800000000E-000,
8.288150000000000E-002, 5.118600000000000E-003, -2.997800000000000E-003, 8.288150000000000E-002, 5.118600000000000E-003, -2.997800000000000E-003,
@ -349,6 +352,7 @@ typedef struct qmckl_jastrow_struct{
int64_t bord_num; int64_t bord_num;
int64_t cord_num; int64_t cord_num;
int64_t type_nucl_num; int64_t type_nucl_num;
uint64_t asymp_jasa_date;
uint64_t asymp_jasb_date; uint64_t asymp_jasb_date;
uint64_t tmp_c_date; uint64_t tmp_c_date;
uint64_t dtmp_c_date; uint64_t dtmp_c_date;
@ -364,6 +368,7 @@ typedef struct qmckl_jastrow_struct{
double * a_vector; double * a_vector;
double * b_vector; double * b_vector;
double * c_vector; double * c_vector;
double * asymp_jasa;
double * asymp_jasb; double * asymp_jasb;
double * factor_ee; double * factor_ee;
double * factor_en; double * factor_en;
@ -1696,6 +1701,22 @@ qmckl_get_jastrow_asymp_jasb(qmckl_context context,
} }
#+end_src #+end_src
**** Fortran interface
#+begin_src f90 :tangle (eval fh_func) :comments org
interface
integer(qmckl_exit_code) function qmckl_get_jastrow_asymp_jasb(context, &
asymp_jasb, size_max) bind(C)
use, intrinsic :: iso_c_binding
import
implicit none
integer (qmckl_context) , intent(in), value :: context
integer(c_int64_t), intent(in), value :: size_max
double precision, intent(out) :: asymp_jasb(size_max)
end function qmckl_get_jastrow_asymp_jasb
end interface
#+end_src
*** Provide :noexport: *** Provide :noexport:
#+begin_src c :comments org :tangle (eval h_private_func) :noweb yes :exports none #+begin_src c :comments org :tangle (eval h_private_func) :noweb yes :exports none
qmckl_exit_code qmckl_provide_jastrow_asymp_jasb(qmckl_context context); qmckl_exit_code qmckl_provide_jastrow_asymp_jasb(qmckl_context context);
@ -2957,6 +2978,277 @@ assert(fabs(factor_ee_deriv_e[0][2][0]-0.073267755223968 ) < 1.e-12);
assert(fabs(factor_ee_deriv_e[0][3][0]-1.5111672803213185 ) < 1.e-12); assert(fabs(factor_ee_deriv_e[0][3][0]-1.5111672803213185 ) < 1.e-12);
#+end_src #+end_src
** Asymptotic component for \(J_{eN}\)
Calculate the asymptotic component ~asymp_jasa~ to be substracted from the final
electron-nucleus jastrow factor \(J_{\text{eN}}\). The asymptotic component is calculated
via the ~a_vector~ and the electron-nucleus rescale factors ~rescale_factor_en~.
\[
J_{\text{en}}^{\infty \alpha} = \frac{a_1 \kappa_\alpha^{-1}}{1 + a_2 \kappa_\alpha^{-1}}
\]
*** Get
#+begin_src c :comments org :tangle (eval h_func) :noweb yes
qmckl_exit_code
qmckl_get_jastrow_asymp_jasa(qmckl_context context,
double* const asymp_jasa,
const int64_t size_max);
#+end_src
#+begin_src c :comments org :tangle (eval c) :noweb yes :exports none
qmckl_exit_code
qmckl_get_jastrow_asymp_jasa(qmckl_context context,
double* const asymp_jasa,
const int64_t size_max)
{
if (qmckl_context_check(context) == QMCKL_NULL_CONTEXT) {
return qmckl_failwith( context,
QMCKL_INVALID_CONTEXT,
"qmckl_get_jastrow_asymp_jasa",
NULL);
}
qmckl_exit_code rc;
rc = qmckl_provide_jastrow_asymp_jasa(context);
if (rc != QMCKL_SUCCESS) return rc;
qmckl_context_struct* const ctx = (qmckl_context_struct*) context;
assert (ctx != NULL);
int64_t sze = ctx->nucleus.num;
if (size_max < sze) {
return qmckl_failwith( context,
QMCKL_INVALID_ARG_3,
"qmckl_get_jastrow_asymp_jasa",
"Array too small. Expected nucleus.num");
}
memcpy(asymp_jasa, ctx->jastrow.asymp_jasa, sze * sizeof(double));
return QMCKL_SUCCESS;
}
#+end_src
**** Fortran interface
#+begin_src f90 :tangle (eval fh_func) :comments org
interface
integer(qmckl_exit_code) function qmckl_get_jastrow_asymp_jasa(context, &
asymp_jasa, size_max) bind(C)
use, intrinsic :: iso_c_binding
import
implicit none
integer (qmckl_context) , intent(in), value :: context
integer(c_int64_t), intent(in), value :: size_max
double precision, intent(out) :: asymp_jasa(size_max)
end function qmckl_get_jastrow_asymp_jasa
end interface
#+end_src
*** Provide :noexport:
#+begin_src c :comments org :tangle (eval h_private_func) :noweb yes :exports none
qmckl_exit_code qmckl_provide_jastrow_asymp_jasa(qmckl_context context);
#+end_src
#+begin_src c :comments org :tangle (eval c) :noweb yes :exports none
qmckl_exit_code qmckl_provide_jastrow_asymp_jasa(qmckl_context context)
{
qmckl_exit_code rc;
if (qmckl_context_check(context) == QMCKL_NULL_CONTEXT) {
return qmckl_failwith( context,
QMCKL_INVALID_CONTEXT,
"qmckl_provide_jastrow_asymp_jasa",
NULL);
}
qmckl_context_struct* const ctx = (qmckl_context_struct*) context;
assert (ctx != NULL);
if (!ctx->jastrow.provided) {
return qmckl_failwith( context,
QMCKL_NOT_PROVIDED,
"qmckl_provide_jastrow_asymp_jasa",
NULL);
}
/* Compute if necessary */
if (ctx->date > ctx->jastrow.asymp_jasa_date) {
/* Allocate array */
if (ctx->jastrow.asymp_jasa == NULL) {
qmckl_memory_info_struct mem_info = qmckl_memory_info_struct_zero;
mem_info.size = ctx->nucleus.num * sizeof(double);
double* asymp_jasa = (double*) qmckl_malloc(context, mem_info);
if (asymp_jasa == NULL) {
return qmckl_failwith( context,
QMCKL_ALLOCATION_FAILED,
"qmckl_asymp_jasa",
NULL);
}
ctx->jastrow.asymp_jasa = asymp_jasa;
}
rc = qmckl_compute_jastrow_asymp_jasa(context,
ctx->jastrow.aord_num,
ctx->jastrow.a_vector,
ctx->jastrow.rescale_factor_en,
ctx->nucleus.num,
ctx->jastrow.asymp_jasa);
if (rc != QMCKL_SUCCESS) {
return rc;
}
ctx->jastrow.asymp_jasa_date = ctx->date;
}
return QMCKL_SUCCESS;
}
#+end_src
*** Compute
:PROPERTIES:
:Name: qmckl_compute_jastrow_asymp_jasa
:CRetType: qmckl_exit_code
:FRetType: qmckl_exit_code
:END:
#+NAME: qmckl_asymp_jasa_args
| Variable | Type | In/Out | Description |
|---------------------+----------------------+--------+----------------------------|
| ~context~ | ~qmckl_context~ | in | Global state |
| ~aord_num~ | ~int64_t~ | in | Order of the polynomial |
| ~a_vector~ | ~double[aord_num+1]~ | in | Values of a |
| ~rescale_factor_en~ | ~double~ | in | Electron nucleus distances |
| ~nucl_num~ | ~int64_t~ | in | Number of nuclei |
| ~asymp_jasa~ | ~double[nucl_num]~ | out | Asymptotic value |
#+begin_src f90 :comments org :tangle (eval f) :noweb yes
integer function qmckl_compute_jastrow_asymp_jasa_f(context, aord_num, a_vector, &
rescale_factor_en, nucl_num, asymp_jasa) &
result(info)
use qmckl
implicit none
integer(qmckl_context), intent(in) :: context
integer*8 , intent(in) :: aord_num
double precision , intent(in) :: a_vector(aord_num + 1)
integer*8 , intent(in) :: nucl_num
double precision , intent(in) :: rescale_factor_en(nucl_num)
double precision , intent(out) :: asymp_jasa(nucl_num)
integer*8 :: i, j, p
double precision :: kappa_inv, x, asym_one
info = QMCKL_SUCCESS
if (context == QMCKL_NULL_CONTEXT) then
info = QMCKL_INVALID_CONTEXT
return
endif
if (aord_num < 0) then
info = QMCKL_INVALID_ARG_2
return
endif
do i=1,nucl_num
kappa_inv = 1.0d0 / rescale_factor_en(i)
asymp_jasa(i) = a_vector(1) * kappa_inv / (1.0d0 + a_vector(2) * kappa_inv)
x = kappa_inv
do p = 1, aord_num
x = x * kappa_inv
asymp_jasa(i) = asymp_jasa(i) + a_vector(p + 1) * x
end do
end do
end function qmckl_compute_jastrow_asymp_jasa_f
#+end_src
#+begin_src c :comments org :tangle (eval c) :noweb yes
qmckl_exit_code qmckl_compute_jastrow_asymp_jasa (
const qmckl_context context,
const int64_t aord_num,
const double* a_vector,
double* const rescale_factor_en,
const int64_t nucl_num,
double* const asymp_jasa ) {
if (context == QMCKL_NULL_CONTEXT){
return QMCKL_INVALID_CONTEXT;
}
if (aord_num < 0) {
return QMCKL_INVALID_ARG_2;
}
for (int i = 0 ; i <= nucl_num; ++i) {
const double kappa_inv = 1.0 / rescale_factor_en[i];
asymp_jasa[i] = a_vector[0] * kappa_inv / (1.0 + a_vector[1] * kappa_inv);
double x = kappa_inv;
for (int p = 1; p < aord_num; ++p){
x *= kappa_inv;
asymp_jasa[i] = asymp_jasa[i] + a_vector[p + 1] * x;
}
}
return QMCKL_SUCCESS;
}
#+end_src
# #+CALL: generate_c_header(table=qmckl_asymp_jasa_args,rettyp=get_value("CRetType"),fname=get_value("Name"))
#+begin_src c :comments org :tangle (eval h_private_func) :noweb yes :exports none
qmckl_exit_code qmckl_compute_jastrow_asymp_jasa (
const qmckl_context context,
const int64_t aord_num,
const double* a_vector,
double* const rescale_factor_en,
const int64_t nucl_num,
double* const asymp_jasa );
#+end_src
*** Test
#+name: asymp_jasa
#+begin_src python :results output :exports none :noweb yes
import numpy as np
<<jastrow_data>>
asymp_jasa = a_vector[0] * kappa_inv / (1.0 + a_vector[1]*kappa_inv)
x = kappa_inv
for p in range(1,aord_num):
x = x * kappa_inv
asymp_jasa += a_vector[p + 1] * x
print("asymp_jasa[i] : ", asymp_jasa)
#+end_src
#+RESULTS: asymp_jasa
: asymp_jasa[i] : [-0.548554]
#+begin_src c :tangle (eval c_test)
double asymp_jasa[2];
rc = qmckl_get_jastrow_asymp_jasa(context, asymp_jasa, nucl_num);
// calculate asymp_jasb
printf("%e %e\n", asymp_jasa[0], -0.548554);
printf("%e %e\n", asymp_jasa[1], -0.548554);
assert(fabs(-0.548554 - asymp_jasa[0]) < 1.e-12);
assert(fabs(-0.548554 - asymp_jasa[1]) < 1.e-12);
#+end_src
** Electron-nucleus component \(f_{en}\) ** Electron-nucleus component \(f_{en}\)
Calculate the electron-electron jastrow component ~factor_en~ using the ~a_vector~ Calculate the electron-electron jastrow component ~factor_en~ using the ~a_vector~