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Author | SHA1 | Date | |
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b71579ab43 | |||
7c285bddf3 | |||
453cfa0b65 | |||
04ca07a540 | |||
f514ba0acd | |||
bd9816d6e3 | |||
6455b281ff | |||
a1c9ec2503 | |||
4a72ca6b12 | |||
ce0a5f4e70 | |||
e53e7585f9 | |||
fedc20dc31 |
@ -81,9 +81,6 @@ end = struct
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;;
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;;
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let write_n_det n =
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let write_n_det n =
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let n_det_old =
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Ezfio.get_determinants_n_det ()
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in
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Det_number.to_int n
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Det_number.to_int n
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|> Ezfio.set_determinants_n_det
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|> Ezfio.set_determinants_n_det
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;;
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;;
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@ -65,7 +65,7 @@ subroutine run_cipsi
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do while ( &
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do while ( &
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(N_det < N_det_max) .and. &
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(N_det < N_det_max) .and. &
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(maxval(abs(pt2(1:N_states))) > pt2_max) .and. &
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(maxval(abs(rpt2(1:N_states))) > pt2_max) .and. &
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(correlation_energy_ratio <= correlation_energy_ratio_max) &
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(correlation_energy_ratio <= correlation_energy_ratio_max) &
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)
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)
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write(*,'(A)') '--------------------------------------------------------------------------------'
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write(*,'(A)') '--------------------------------------------------------------------------------'
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@ -92,7 +92,7 @@ subroutine run_cipsi
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call print_summary(psi_energy_with_nucl_rep(1:N_states),pt2,error,variance,norm,N_det,N_occ_pattern,N_states,psi_s2)
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call print_summary(psi_energy_with_nucl_rep(1:N_states),pt2,error,variance,norm,N_det,N_occ_pattern,N_states,psi_s2)
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do k=1,N_states
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do k=1,N_states
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rpt2(:) = pt2(:)/(1.d0 + norm(k))
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rpt2(k) = pt2(k)/(1.d0 + norm(k))
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enddo
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enddo
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call save_energy(psi_energy_with_nucl_rep, rpt2)
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call save_energy(psi_energy_with_nucl_rep, rpt2)
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@ -103,9 +103,8 @@ subroutine run_cipsi
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if (qp_stop()) exit
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if (qp_stop()) exit
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n_det_before = N_det
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n_det_before = N_det
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to_select = N_det
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to_select = N_det*int(sqrt(dble(N_states)))*selection_factor
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to_select = max(N_states_diag, to_select)
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to_select = max(N_states_diag, to_select)
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! to_select = min(to_select, N_det_max-n_det_before)
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call ZMQ_selection(to_select, pt2, variance, norm)
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call ZMQ_selection(to_select, pt2, variance, norm)
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PROVIDE psi_coef
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PROVIDE psi_coef
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@ -137,7 +136,7 @@ subroutine run_cipsi
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norm,0) ! Stochastic PT2
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norm,0) ! Stochastic PT2
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SOFT_TOUCH threshold_generators
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SOFT_TOUCH threshold_generators
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do k=1,N_states
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do k=1,N_states
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rpt2(:) = pt2(:)/(1.d0 + norm(k))
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rpt2(k) = pt2(k)/(1.d0 + norm(k))
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enddo
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enddo
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call save_energy(psi_energy_with_nucl_rep, pt2)
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call save_energy(psi_energy_with_nucl_rep, pt2)
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endif
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endif
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@ -148,7 +147,7 @@ subroutine run_cipsi
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do k=1,N_states
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do k=1,N_states
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rpt2(:) = pt2(:)/(1.d0 + norm(k))
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rpt2(k) = pt2(k)/(1.d0 + norm(k))
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enddo
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enddo
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call save_energy(psi_energy_with_nucl_rep, rpt2)
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call save_energy(psi_energy_with_nucl_rep, rpt2)
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@ -129,13 +129,13 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm, N_in)
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PROVIDE psi_bilinear_matrix_rows psi_det_sorted_order psi_bilinear_matrix_order
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PROVIDE psi_bilinear_matrix_rows psi_det_sorted_order psi_bilinear_matrix_order
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PROVIDE psi_bilinear_matrix_transp_rows_loc psi_bilinear_matrix_transp_columns
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PROVIDE psi_bilinear_matrix_transp_rows_loc psi_bilinear_matrix_transp_columns
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PROVIDE psi_bilinear_matrix_transp_order psi_selectors_coef_transp psi_det_sorted
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PROVIDE psi_bilinear_matrix_transp_order psi_selectors_coef_transp psi_det_sorted
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PROVIDE psi_det_hii N_generators_bitmask
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PROVIDE psi_det_hii N_generators_bitmask selection_weight pseudo_sym
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if (h0_type == 'SOP') then
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if (h0_type == 'SOP') then
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PROVIDE psi_occ_pattern_hii det_to_occ_pattern
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PROVIDE psi_occ_pattern_hii det_to_occ_pattern
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endif
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endif
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if (N_det < max(1000,N_states)) then
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if (N_det < max(4,N_states)) then
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pt2=0.d0
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pt2=0.d0
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variance=0.d0
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variance=0.d0
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norm=0.d0
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norm=0.d0
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@ -333,13 +333,7 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm, N_in)
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pt2(k) = 0.d0
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pt2(k) = 0.d0
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enddo
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enddo
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! Adjust PT2 weights for next selection
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call update_pt2_and_variance_weights(pt2, variance, norm, N_states)
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double precision :: pt2_avg
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pt2_avg = sum(pt2) / dble(N_states)
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do k=1,N_states
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pt2_match_weight(k) *= (pt2(k)/pt2_avg)**2
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enddo
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SOFT_TOUCH pt2_match_weight
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end subroutine
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end subroutine
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@ -25,8 +25,8 @@ subroutine run_selection_slave(thread,iproc,energy)
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PROVIDE psi_bilinear_matrix_columns_loc psi_det_alpha_unique psi_det_beta_unique
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PROVIDE psi_bilinear_matrix_columns_loc psi_det_alpha_unique psi_det_beta_unique
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PROVIDE psi_bilinear_matrix_rows psi_det_sorted_order psi_bilinear_matrix_order
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PROVIDE psi_bilinear_matrix_rows psi_det_sorted_order psi_bilinear_matrix_order
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PROVIDE psi_bilinear_matrix_transp_rows_loc psi_bilinear_matrix_transp_columns
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PROVIDE psi_bilinear_matrix_transp_rows_loc psi_bilinear_matrix_transp_columns
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PROVIDE psi_bilinear_matrix_transp_order N_int pt2_F
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PROVIDE psi_bilinear_matrix_transp_order N_int pt2_F pseudo_sym
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PROVIDE psi_selectors_coef_transp psi_det_sorted
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PROVIDE psi_selectors_coef_transp psi_det_sorted weight_selection
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zmq_to_qp_run_socket = new_zmq_to_qp_run_socket()
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zmq_to_qp_run_socket = new_zmq_to_qp_run_socket()
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@ -230,6 +230,8 @@ subroutine pull_selection_results(zmq_socket_pull, pt2, variance, norm, val, det
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endif
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endif
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else
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else
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pt2(:) = 0.d0
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pt2(:) = 0.d0
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variance(:) = 0.d0
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norm(:) = 0.d0
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endif
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endif
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rc = f77_zmq_recv( zmq_socket_pull, ntask, 4, 0)
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rc = f77_zmq_recv( zmq_socket_pull, ntask, 4, 0)
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@ -6,15 +6,88 @@ BEGIN_PROVIDER [ double precision, pt2_match_weight, (N_states) ]
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! Weights adjusted along the selection to make the PT2 contributions
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! Weights adjusted along the selection to make the PT2 contributions
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! of each state coincide.
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! of each state coincide.
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END_DOC
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END_DOC
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pt2_match_weight = 1.d0
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pt2_match_weight(:) = 1.d0
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END_PROVIDER
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END_PROVIDER
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BEGIN_PROVIDER [ double precision, variance_match_weight, (N_states) ]
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implicit none
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BEGIN_DOC
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! Weights adjusted along the selection to make the variances
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! of each state coincide.
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END_DOC
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variance_match_weight(:) = 1.d0
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END_PROVIDER
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subroutine update_pt2_and_variance_weights(pt2, variance, norm, N_st)
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implicit none
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BEGIN_DOC
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! Updates the rPT2- and Variance- matching weights.
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END_DOC
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integer, intent(in) :: N_st
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double precision, intent(in) :: pt2(N_st)
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double precision, intent(in) :: variance(N_st)
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double precision, intent(in) :: norm(N_st)
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double precision :: avg, rpt2(N_st), element, dt, x
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integer :: k
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dt = n_iter * selection_factor
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do k=1,N_st
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rpt2(k) = pt2(k)/(1.d0 + norm(k))
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enddo
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avg = sum(rpt2(1:N_st)) / dble(N_st)
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do k=1,N_st
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element = exp(dt*(rpt2(k)/avg -1.d0))
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element = min(1.2d0 , element)
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pt2_match_weight(k) *= element
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enddo
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avg = sum(variance(1:N_st)) / dble(N_st)
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do k=1,N_st
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element = exp(dt*(variance(k)/avg -1.d0))
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element = min(1.2d0 , element)
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variance_match_weight(k) *= element
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enddo
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SOFT_TOUCH pt2_match_weight variance_match_weight
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end
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BEGIN_PROVIDER [ double precision, selection_weight, (N_states) ]
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BEGIN_PROVIDER [ double precision, selection_weight, (N_states) ]
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implicit none
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implicit none
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BEGIN_DOC
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BEGIN_DOC
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! Weights used in the selection criterion
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! Weights used in the selection criterion
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END_DOC
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END_DOC
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selection_weight(1:N_states) = c0_weight(1:N_states) * pt2_match_weight(1:N_states)
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select case (weight_selection)
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case (0)
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print *, 'Using input weights in selection'
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selection_weight(1:N_states) = state_average_weight(1:N_states)
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case (1)
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print *, 'Using 1/c_max^2 weight in selection'
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selection_weight(1:N_states) = c0_weight(1:N_states)
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case (2)
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print *, 'Using pt2-matching weight in selection'
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selection_weight(1:N_states) = c0_weight(1:N_states) * pt2_match_weight(1:N_states)
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case (3)
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print *, 'Using variance-matching weight in selection'
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selection_weight(1:N_states) = c0_weight(1:N_states) * variance_match_weight(1:N_states)
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case (4)
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print *, 'Using variance- and pt2-matching weights in selection'
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selection_weight(1:N_states) = c0_weight(1:N_states) * variance_match_weight(1:N_states) * pt2_match_weight(1:N_states)
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case (5)
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print *, 'Using variance-matching weight in selection'
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selection_weight(1:N_states) = c0_weight(1:N_states) * variance_match_weight(1:N_states)
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end select
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END_PROVIDER
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END_PROVIDER
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@ -621,11 +694,13 @@ subroutine fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_d
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variance(istate) = variance(istate) + alpha_h_psi * alpha_h_psi
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variance(istate) = variance(istate) + alpha_h_psi * alpha_h_psi
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norm(istate) = norm(istate) + coef * coef
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norm(istate) = norm(istate) + coef * coef
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! if (h0_type == "Variance") then
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if (weight_selection /= 5) then
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! sum_e_pert = sum_e_pert - alpha_h_psi * alpha_h_psi * selection_weight(istate)
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! Energy selection
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! else
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sum_e_pert = sum_e_pert + e_pert * selection_weight(istate)
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sum_e_pert = sum_e_pert + e_pert * selection_weight(istate)
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! endif
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else
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! Variance selection
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sum_e_pert = sum_e_pert - alpha_h_psi * alpha_h_psi * selection_weight(istate)
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endif
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end do
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end do
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if(pseudo_sym)then
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if(pseudo_sym)then
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if(dabs(mat(1, p1, p2)).lt.thresh_sym)then
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if(dabs(mat(1, p1, p2)).lt.thresh_sym)then
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@ -17,7 +17,7 @@ subroutine provide_everything
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PROVIDE H_apply_buffer_allocated mo_two_e_integrals_in_map psi_det_generators psi_coef_generators psi_det_sorted_bit psi_selectors n_det_generators n_states generators_bitmask zmq_context N_states_diag
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PROVIDE H_apply_buffer_allocated mo_two_e_integrals_in_map psi_det_generators psi_coef_generators psi_det_sorted_bit psi_selectors n_det_generators n_states generators_bitmask zmq_context N_states_diag
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PROVIDE pt2_e0_denominator mo_num N_int ci_energy mpi_master zmq_state zmq_context
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PROVIDE pt2_e0_denominator mo_num N_int ci_energy mpi_master zmq_state zmq_context
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PROVIDE psi_det psi_coef threshold_generators state_average_weight
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PROVIDE psi_det psi_coef threshold_generators state_average_weight
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PROVIDE N_det_selectors pt2_stoch_istate N_det
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PROVIDE N_det_selectors pt2_stoch_istate N_det selection_weight pseudo_sym
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end
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end
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subroutine run_slave_main
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subroutine run_slave_main
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@ -70,7 +70,7 @@ subroutine run_stochastic_cipsi
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write(*,'(A)') '--------------------------------------------------------------------------------'
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write(*,'(A)') '--------------------------------------------------------------------------------'
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to_select = N_det*int(sqrt(dble(N_states)))
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to_select = N_det*int(sqrt(dble(N_states)))*selection_factor
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to_select = max(N_states_diag, to_select)
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to_select = max(N_states_diag, to_select)
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pt2 = 0.d0
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pt2 = 0.d0
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@ -88,7 +88,7 @@ subroutine run_stochastic_cipsi
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call print_summary(psi_energy_with_nucl_rep,pt2,error,variance,norm,N_det,N_occ_pattern,N_states,psi_s2)
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call print_summary(psi_energy_with_nucl_rep,pt2,error,variance,norm,N_det,N_occ_pattern,N_states,psi_s2)
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do k=1,N_states
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do k=1,N_states
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rpt2(:) = pt2(:)/(1.d0 + norm(k))
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rpt2(k) = pt2(k)/(1.d0 + norm(k))
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enddo
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enddo
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call save_energy(psi_energy_with_nucl_rep, rpt2)
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call save_energy(psi_energy_with_nucl_rep, rpt2)
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@ -128,7 +128,7 @@ subroutine run_stochastic_cipsi
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norm,0) ! Stochastic PT2
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norm,0) ! Stochastic PT2
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|
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do k=1,N_states
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do k=1,N_states
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rpt2(:) = pt2(:)/(1.d0 + norm(k))
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rpt2(k) = pt2(k)/(1.d0 + norm(k))
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enddo
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enddo
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call save_energy(psi_energy_with_nucl_rep, rpt2)
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call save_energy(psi_energy_with_nucl_rep, rpt2)
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@ -21,7 +21,8 @@ subroutine ZMQ_selection(N_in, pt2, variance, norm)
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PROVIDE psi_bilinear_matrix_columns_loc psi_det_alpha_unique psi_det_beta_unique
|
PROVIDE psi_bilinear_matrix_columns_loc psi_det_alpha_unique psi_det_beta_unique
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PROVIDE psi_bilinear_matrix_rows psi_det_sorted_order psi_bilinear_matrix_order
|
PROVIDE psi_bilinear_matrix_rows psi_det_sorted_order psi_bilinear_matrix_order
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||||||
PROVIDE psi_bilinear_matrix_transp_rows_loc psi_bilinear_matrix_transp_columns
|
PROVIDE psi_bilinear_matrix_transp_rows_loc psi_bilinear_matrix_transp_columns
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PROVIDE psi_bilinear_matrix_transp_order
|
PROVIDE psi_bilinear_matrix_transp_order selection_weight pseudo_sym
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||||||
|
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||||||
|
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call new_parallel_job(zmq_to_qp_run_socket,zmq_socket_pull,'selection')
|
call new_parallel_job(zmq_to_qp_run_socket,zmq_socket_pull,'selection')
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|
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@ -85,7 +86,11 @@ subroutine ZMQ_selection(N_in, pt2, variance, norm)
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endif
|
endif
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|
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integer :: nproc_target
|
integer :: nproc_target
|
||||||
nproc_target = nproc
|
if (N_det < 3*nproc) then
|
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|
nproc_target = N_det/4
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|
else
|
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|
nproc_target = nproc
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||||||
|
endif
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double precision :: mem
|
double precision :: mem
|
||||||
mem = 8.d0 * N_det * (N_int * 2.d0 * 3.d0 + 3.d0 + 5.d0) / (1024.d0**3)
|
mem = 8.d0 * N_det * (N_int * 2.d0 * 3.d0 + 3.d0 + 5.d0) / (1024.d0**3)
|
||||||
call write_double(6,mem,'Estimated memory/thread (Gb)')
|
call write_double(6,mem,'Estimated memory/thread (Gb)')
|
||||||
@ -131,13 +136,7 @@ subroutine ZMQ_selection(N_in, pt2, variance, norm)
|
|||||||
norm(k) = norm(k) * f(k)
|
norm(k) = norm(k) * f(k)
|
||||||
enddo
|
enddo
|
||||||
|
|
||||||
! Adjust PT2 weights for next selection
|
call update_pt2_and_variance_weights(pt2, variance, norm, N_states)
|
||||||
double precision :: pt2_avg
|
|
||||||
pt2_avg = sum(pt2) / dble(N_states)
|
|
||||||
do k=1,N_states
|
|
||||||
pt2_match_weight(k) *= (pt2(k)/pt2_avg)**2
|
|
||||||
enddo
|
|
||||||
SOFT_TOUCH pt2_match_weight
|
|
||||||
|
|
||||||
end subroutine
|
end subroutine
|
||||||
|
|
||||||
@ -159,9 +158,9 @@ subroutine selection_collector(zmq_socket_pull, b, N, pt2, variance, norm)
|
|||||||
integer(ZMQ_PTR), intent(in) :: zmq_socket_pull
|
integer(ZMQ_PTR), intent(in) :: zmq_socket_pull
|
||||||
type(selection_buffer), intent(inout) :: b
|
type(selection_buffer), intent(inout) :: b
|
||||||
integer, intent(in) :: N
|
integer, intent(in) :: N
|
||||||
double precision, intent(inout) :: pt2(N_states)
|
double precision, intent(out) :: pt2(N_states)
|
||||||
double precision, intent(inout) :: variance(N_states)
|
double precision, intent(out) :: variance(N_states)
|
||||||
double precision, intent(inout) :: norm(N_states)
|
double precision, intent(out) :: norm(N_states)
|
||||||
double precision :: pt2_mwen(N_states)
|
double precision :: pt2_mwen(N_states)
|
||||||
double precision :: variance_mwen(N_states)
|
double precision :: variance_mwen(N_states)
|
||||||
double precision :: norm_mwen(N_states)
|
double precision :: norm_mwen(N_states)
|
||||||
|
54
src/davidson/print_e_components.irp.f
Normal file
54
src/davidson/print_e_components.irp.f
Normal file
@ -0,0 +1,54 @@
|
|||||||
|
subroutine print_energy_components()
|
||||||
|
implicit none
|
||||||
|
BEGIN_DOC
|
||||||
|
! Prints the different components of the energy.
|
||||||
|
END_DOC
|
||||||
|
integer, save :: ifirst = 0
|
||||||
|
double precision :: Vee, Ven, Vnn, Vecp, T, f
|
||||||
|
integer :: i,j,k
|
||||||
|
|
||||||
|
Vnn = nuclear_repulsion
|
||||||
|
|
||||||
|
print *, 'Energy components'
|
||||||
|
print *, '================='
|
||||||
|
print *, ''
|
||||||
|
do k=1,N_states
|
||||||
|
|
||||||
|
Ven = 0.d0
|
||||||
|
Vecp = 0.d0
|
||||||
|
T = 0.d0
|
||||||
|
|
||||||
|
do j=1,mo_num
|
||||||
|
do i=1,mo_num
|
||||||
|
f = one_e_dm_mo_alpha(i,j,k) + one_e_dm_mo_beta(i,j,k)
|
||||||
|
Ven = Ven + f * mo_integrals_n_e(i,j)
|
||||||
|
Vecp = Vecp + f * mo_pseudo_integrals(i,j)
|
||||||
|
T = T + f * mo_kinetic_integrals(i,j)
|
||||||
|
enddo
|
||||||
|
enddo
|
||||||
|
Vee = psi_energy(k) - Ven - Vecp - T
|
||||||
|
|
||||||
|
if (ifirst == 0) then
|
||||||
|
ifirst = 1
|
||||||
|
print *, 'Vnn : Nucleus-Nucleus potential energy'
|
||||||
|
print *, 'Ven : Electron-Nucleus potential energy'
|
||||||
|
print *, 'Vee : Electron-Electron potential energy'
|
||||||
|
print *, 'Vecp : Potential energy of the pseudo-potentials'
|
||||||
|
print *, 'T : Electronic kinetic energy'
|
||||||
|
print *, ''
|
||||||
|
endif
|
||||||
|
|
||||||
|
print *, 'State ', k
|
||||||
|
print *, '---------'
|
||||||
|
print *, ''
|
||||||
|
print *, 'Vnn = ', Vnn
|
||||||
|
print *, 'Ven = ', Ven
|
||||||
|
print *, 'Vee = ', Vee
|
||||||
|
print *, 'Vecp = ', Vecp
|
||||||
|
print *, 'T = ', T
|
||||||
|
print *, ''
|
||||||
|
enddo
|
||||||
|
|
||||||
|
print *, ''
|
||||||
|
|
||||||
|
end
|
@ -28,12 +28,18 @@ doc: Force the wave function to be an eigenfunction of |S^2|
|
|||||||
interface: ezfio,provider,ocaml
|
interface: ezfio,provider,ocaml
|
||||||
default: True
|
default: True
|
||||||
|
|
||||||
[used_weight]
|
[weight_one_e_dm]
|
||||||
type: integer
|
type: integer
|
||||||
doc: Weight used in the calculation of the one-electron density matrix. 0: 1./(c_0^2), 1: 1/N_states, 2: input state-average weight, 3: 1/(Norm_L3(Psi))
|
doc: Weight used in the calculation of the one-electron density matrix. 0: 1./(c_0^2), 1: 1/N_states, 2: input state-average weight, 3: 1/(Norm_L3(Psi))
|
||||||
interface: ezfio,provider,ocaml
|
interface: ezfio,provider,ocaml
|
||||||
default: 1
|
default: 1
|
||||||
|
|
||||||
|
[weight_selection]
|
||||||
|
type: integer
|
||||||
|
doc: Weight used in the selection. 0: input state-average weight, 1: 1./(c_0^2), 2: rPT2 matching, 3: variance matching, 4: variance and rPT2 matching, 5: variance minimization and matching
|
||||||
|
interface: ezfio,provider,ocaml
|
||||||
|
default: 2
|
||||||
|
|
||||||
[threshold_generators]
|
[threshold_generators]
|
||||||
type: Threshold
|
type: Threshold
|
||||||
doc: Thresholds on generators (fraction of the square of the norm)
|
doc: Thresholds on generators (fraction of the square of the norm)
|
||||||
@ -89,6 +95,11 @@ doc: Weight of the states in state-average calculations.
|
|||||||
interface: ezfio
|
interface: ezfio
|
||||||
size: (determinants.n_states)
|
size: (determinants.n_states)
|
||||||
|
|
||||||
|
[selection_factor]
|
||||||
|
type: double precision
|
||||||
|
doc: f such that the number of determinants to add is f * N_det * sqrt(N_states)
|
||||||
|
interface: ezfio,provider,ocaml
|
||||||
|
default: 1.
|
||||||
|
|
||||||
[thresh_sym]
|
[thresh_sym]
|
||||||
type: Threshold
|
type: Threshold
|
||||||
|
@ -305,9 +305,9 @@ BEGIN_PROVIDER [ double precision, state_average_weight, (N_states) ]
|
|||||||
logical :: exists
|
logical :: exists
|
||||||
|
|
||||||
state_average_weight(:) = 1.d0
|
state_average_weight(:) = 1.d0
|
||||||
if (used_weight == 0) then
|
if (weight_one_e_dm == 0) then
|
||||||
state_average_weight(:) = c0_weight(:)
|
state_average_weight(:) = c0_weight(:)
|
||||||
else if (used_weight == 1) then
|
else if (weight_one_e_dm == 1) then
|
||||||
state_average_weight(:) = 1./N_states
|
state_average_weight(:) = 1./N_states
|
||||||
else
|
else
|
||||||
call ezfio_has_determinants_state_average_weight(exists)
|
call ezfio_has_determinants_state_average_weight(exists)
|
||||||
|
@ -43,4 +43,3 @@ BEGIN_PROVIDER [ double precision, S2_matrix_all_dets,(N_det,N_det) ]
|
|||||||
!$OMP END PARALLEL DO
|
!$OMP END PARALLEL DO
|
||||||
END_PROVIDER
|
END_PROVIDER
|
||||||
|
|
||||||
|
|
||||||
|
@ -46,7 +46,7 @@ subroutine run
|
|||||||
call ZMQ_pt2(psi_energy_with_nucl_rep,pt2,relative_error,error, variance, &
|
call ZMQ_pt2(psi_energy_with_nucl_rep,pt2,relative_error,error, variance, &
|
||||||
norm,0) ! Stochastic PT2
|
norm,0) ! Stochastic PT2
|
||||||
do k=1,N_states
|
do k=1,N_states
|
||||||
rpt2(:) = pt2(:)/(1.d0 + norm(k))
|
rpt2(k) = pt2(k)/(1.d0 + norm(k))
|
||||||
enddo
|
enddo
|
||||||
|
|
||||||
call print_summary(psi_energy_with_nucl_rep(1:N_states),pt2,error,variance,norm,N_det,N_occ_pattern,N_states,psi_s2)
|
call print_summary(psi_energy_with_nucl_rep(1:N_states),pt2,error,variance,norm,N_det,N_occ_pattern,N_states,psi_s2)
|
||||||
|
@ -31,18 +31,19 @@ subroutine print_summary(e_,pt2_,error_,variance_,norm_,n_det_,n_occ_pattern_,n_
|
|||||||
|
|
||||||
write(fmt,*) '(''# ============'',', N_states_p, '(1X,''=============================''))'
|
write(fmt,*) '(''# ============'',', N_states_p, '(1X,''=============================''))'
|
||||||
write(*,fmt)
|
write(*,fmt)
|
||||||
write(fmt,*) '(12X,', N_states_p, '(6X,A7,1X,I6,10X))'
|
write(fmt,*) '(13X,', N_states_p, '(6X,A7,1X,I6,10X))'
|
||||||
write(*,fmt) ('State',k, k=1,N_states_p)
|
write(*,fmt) ('State',k, k=1,N_states_p)
|
||||||
write(fmt,*) '(''# ============'',', N_states_p, '(1X,''=============================''))'
|
write(fmt,*) '(''# ============'',', N_states_p, '(1X,''=============================''))'
|
||||||
write(*,fmt)
|
write(*,fmt)
|
||||||
write(fmt,*) '(A12,', N_states_p, '(1X,F14.8,15X))'
|
write(fmt,*) '(A13,', N_states_p, '(1X,F14.8,15X))'
|
||||||
write(*,fmt) '# E ', e_(1:N_states_p)
|
write(*,fmt) '# E ', e_(1:N_states_p)
|
||||||
if (N_states_p > 1) then
|
if (N_states_p > 1) then
|
||||||
write(*,fmt) '# Excit. (au)', e_(1:N_states_p)-e_(1)
|
write(*,fmt) '# Excit. (au)', e_(1:N_states_p)-e_(1)
|
||||||
write(*,fmt) '# Excit. (eV)', (e_(1:N_states_p)-e_(1))*27.211396641308d0
|
write(*,fmt) '# Excit. (eV)', (e_(1:N_states_p)-e_(1))*27.211396641308d0
|
||||||
endif
|
endif
|
||||||
write(fmt,*) '(A13,', 2*N_states_p, '(1X,F14.8))'
|
write(fmt,*) '(A13,', 2*N_states_p, '(1X,F14.8))'
|
||||||
write(*,fmt) '# PT2'//pt2_string, (pt2_(k), error_(k), k=1,N_states_p)
|
write(*,fmt) '# PT2 '//pt2_string, (pt2_(k), error_(k), k=1,N_states_p)
|
||||||
|
write(*,fmt) '# rPT2'//pt2_string, (pt2_(k)*f(k), error_(k)*f(k), k=1,N_states_p)
|
||||||
write(*,'(A)') '#'
|
write(*,'(A)') '#'
|
||||||
write(*,fmt) '# E+PT2 ', (e_(k)+pt2_(k),error_(k), k=1,N_states_p)
|
write(*,fmt) '# E+PT2 ', (e_(k)+pt2_(k),error_(k), k=1,N_states_p)
|
||||||
write(*,fmt) '# E+rPT2 ', (e_(k)+pt2_(k)*f(k),error_(k)*f(k), k=1,N_states_p)
|
write(*,fmt) '# E+rPT2 ', (e_(k)+pt2_(k)*f(k),error_(k)*f(k), k=1,N_states_p)
|
||||||
@ -97,5 +98,7 @@ subroutine print_summary(e_,pt2_,error_,variance_,norm_,n_det_,n_occ_pattern_,n_
|
|||||||
enddo
|
enddo
|
||||||
endif
|
endif
|
||||||
|
|
||||||
|
call print_energy_components()
|
||||||
|
|
||||||
end subroutine
|
end subroutine
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user