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Add Madland fission-Q support to F90
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6 changed files with 209 additions and 26 deletions
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@ -62,6 +62,19 @@ class FissionEnergyRelease(object):
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return Sum([self.fragments, self.prompt_neutrons, self.delayed_neutrons,
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self.prompt_photons, self.delayed_photons, self.betas,
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self.neutrinos])
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@property
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def prompt_q(self):
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return Sum([self.fragments, self.prompt_neutrons, self.prompt_photons,
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lambda E: -E])
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@property
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def recoverable_q(self):
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return Sum([self.recoverable, lambda E: -E])
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@property
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def total_q(self):
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return Sum([self.total, lambda E: -E])
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@property
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def form(self):
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@ -272,6 +285,20 @@ class FissionEnergyRelease(object):
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data=self.delayed_photons.coef)
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group.create_dataset('betas', data=self.betas.coef)
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group.create_dataset('neutrinos', data=self.neutrinos.coef)
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q_prompt = (self.fragments + self.prompt_neutrons +
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self.prompt_photons + Polynomial((-1.0, 0.0)))
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group.create_dataset('q_prompt', data=q_prompt.coef)
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q_recoverable = (self.fragments + self.prompt_neutrons +
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self.delayed_neutrons + self.prompt_photons +
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self.delayed_photons + self.betas +
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Polynomial((-1.0, 0.0)))
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group.create_dataset('q_recoverable', data=q_recoverable.coef)
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q_total = (self.fragments + self.prompt_neutrons +
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self.delayed_neutrons + self.prompt_photons +
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self.delayed_photons + self.betas + self.neutrinos +
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Polynomial((-1.0, 0.0)))
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group.create_dataset('q_total', data=q_total.coef)
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elif self.form == 'Sher-Beck':
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group.attrs['format'] = np.string_('Sher-Beck')
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self.fragments.to_hdf5(group, 'fragments')
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@ -289,7 +289,7 @@ module constants
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EVENT_ABSORB = 2
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! Tally score type
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integer, parameter :: N_SCORE_TYPES = 20
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integer, parameter :: N_SCORE_TYPES = 22
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integer, parameter :: &
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SCORE_FLUX = -1, & ! flux
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SCORE_TOTAL = -2, & ! total reaction rate
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@ -310,7 +310,9 @@ module constants
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SCORE_NU_SCATTER_YN = -17, & ! angular flux-weighted nu-scattering moment (0:N)
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SCORE_EVENTS = -18, & ! number of events
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SCORE_DELAYED_NU_FISSION = -19, & ! delayed neutron production rate
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SCORE_INVERSE_VELOCITY = -20 ! flux-weighted inverse velocity
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SCORE_INVERSE_VELOCITY = -20, & ! flux-weighted inverse velocity
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SCORE_FISS_Q_PROMPT = -21, & ! prompt fission Q-value
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SCORE_FISS_Q_RECOV = -22 ! recoverable fission Q-value
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! Maximum scattering order supported
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integer, parameter :: MAX_ANG_ORDER = 10
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@ -3629,6 +3629,10 @@ contains
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t % score_bins(j) = SCORE_KAPPA_FISSION
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case ('inverse-velocity')
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t % score_bins(j) = SCORE_INVERSE_VELOCITY
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case ('fission-q-prompt')
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t % score_bins(j) = SCORE_FISS_Q_PROMPT
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case ('fission-q-recoverable')
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t % score_bins(j) = SCORE_FISS_Q_RECOV
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case ('current')
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t % score_bins(j) = SCORE_CURRENT
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t % type = TALLY_SURFACE_CURRENT
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@ -88,6 +88,10 @@ module nuclide_header
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type(DictIntInt) :: reaction_index ! map MT values to index in reactions
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! array; used at tally-time
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! Fission energy release
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class(Function1D), allocatable :: fission_q_prompt ! prompt neutrons, gammas
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class(Function1D), allocatable :: fission_q_recov ! neutrons, gammas, betas
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contains
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procedure :: clear => nuclide_clear
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procedure :: print => nuclide_print
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@ -192,6 +196,8 @@ module nuclide_header
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integer(HID_T) :: rxs_group
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integer(HID_T) :: rx_group
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integer(HID_T) :: total_nu
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integer(HID_T) :: fer_group ! fission_energy_release group
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integer(HID_T) :: fer_dset
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integer(SIZE_T) :: name_len, name_file_len
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integer(HSIZE_T) :: j
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integer(HSIZE_T) :: dims(1)
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@ -251,8 +257,8 @@ module nuclide_header
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call this % urr_data % from_hdf5(urr_group)
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! if the inelastic competition flag indicates that the inelastic cross
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! section should be determined from a normal reaction cross section, we need
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! to get the index of the reaction
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! section should be determined from a normal reaction cross section, we
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! need to get the index of the reaction
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if (this % urr_data % inelastic_flag > 0) then
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do i = 1, size(this % reactions)
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if (this % reactions(i) % MT == this % urr_data % inelastic_flag) then
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@ -296,6 +302,30 @@ module nuclide_header
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call close_group(nu_group)
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end if
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! Read fission energy release data if present
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call h5ltpath_valid_f(group_id, 'fission_energy_release', .true., exists, &
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hdf5_err)
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if (exists) then
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fer_group = open_group(group_id, 'fission_energy_release')
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call read_attribute(temp, fer_group, 'format')
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if (temp == 'Madland') then
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! The data uses the Madland format, i.e. polynomials
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! Read the prompt Q-value
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allocate(Polynomial :: this % fission_q_prompt)
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fer_dset = open_dataset(fer_group, 'q_prompt')
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call this % fission_q_prompt % from_hdf5(fer_dset)
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call close_dataset(fer_dset)
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! Read the recoverable energy Q-value
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allocate(Polynomial :: this % fission_q_recov)
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fer_dset = open_dataset(fer_group, 'q_recoverable')
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call this % fission_q_recov % from_hdf5(fer_dset)
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call close_dataset(fer_dset)
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end if
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call close_group(fer_group)
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end if
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! Create derived cross section data
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call this % create_derived()
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@ -791,6 +791,8 @@ contains
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score_names(abs(SCORE_NU_SCATTER_YN)) = "Scattering Prod. Rate Moment"
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score_names(abs(SCORE_DELAYED_NU_FISSION)) = "Delayed-Nu-Fission Rate"
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score_names(abs(SCORE_INVERSE_VELOCITY)) = "Flux-Weighted Inverse Velocity"
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score_names(abs(SCORE_FISS_Q_PROMPT)) = "Prompt fission power"
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score_names(abs(SCORE_FISS_Q_RECOV)) = "Recoverable fission power"
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! Create filename for tally output
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filename = trim(path_output) // "tallies.out"
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162
src/tally.F90
162
src/tally.F90
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@ -625,14 +625,14 @@ contains
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if (survival_biasing) then
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! No fission events occur if survival biasing is on -- need to
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! calculate fraction of absorptions that would have resulted in
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! fission scale by kappa-fission
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associate (nuc => nuclides(p%event_nuclide))
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if (micro_xs(p%event_nuclide)%absorption > ZERO .and. &
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nuc%fissionable) then
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score = p%absorb_wgt * &
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nuc%reactions(nuc%index_fission(1))%Q_value * &
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micro_xs(p%event_nuclide)%fission / &
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micro_xs(p%event_nuclide)%absorption
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! fission scaled by kappa-fission
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associate (nuc => nuclides(p % event_nuclide))
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if (micro_xs(p % event_nuclide) % absorption > ZERO .and. &
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nuc % fissionable) then
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score = p % absorb_wgt * &
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nuc % reactions(nuc % index_fission(1)) % Q_value * &
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micro_xs(p % event_nuclide) % fission / &
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micro_xs(p % event_nuclide) % absorption
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end if
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end associate
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else
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@ -641,12 +641,12 @@ contains
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! All fission events will contribute, so again we can use
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! particle's weight entering the collision as the estimate for
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! the fission energy production rate
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associate (nuc => nuclides(p%event_nuclide))
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if (nuc%fissionable) then
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score = p%last_wgt * &
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nuc%reactions(nuc%index_fission(1))%Q_value * &
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micro_xs(p%event_nuclide)%fission / &
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micro_xs(p%event_nuclide)%absorption
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associate (nuc => nuclides(p % event_nuclide))
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if (nuc % fissionable) then
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score = p % last_wgt * &
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nuc % reactions(nuc % index_fission(1)) % Q_value * &
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micro_xs(p % event_nuclide) % fission / &
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micro_xs(p % event_nuclide) % absorption
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end if
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end associate
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end if
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@ -654,22 +654,23 @@ contains
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else
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if (i_nuclide > 0) then
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associate (nuc => nuclides(i_nuclide))
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if (nuc%fissionable) then
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score = nuc%reactions(nuc%index_fission(1))%Q_value * &
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micro_xs(i_nuclide)%fission * atom_density * flux
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if (nuc % fissionable) then
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score = nuc % reactions(nuc % index_fission(1)) % Q_value * &
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micro_xs(i_nuclide) % fission * atom_density * flux
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end if
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end associate
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else
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do l = 1, materials(p%material)%n_nuclides
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do l = 1, materials(p % material) % n_nuclides
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! Determine atom density and index of nuclide
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atom_density_ = materials(p%material)%atom_density(l)
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i_nuc = materials(p%material)%nuclide(l)
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atom_density_ = materials(p % material) % atom_density(l)
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i_nuc = materials(p % material) % nuclide(l)
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! If nuclide is fissionable, accumulate kappa fission
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associate(nuc => nuclides(i_nuc))
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if (nuc % fissionable) then
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score = score + nuc%reactions(nuc%index_fission(1))%Q_value * &
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micro_xs(i_nuc)%fission * atom_density_ * flux
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score = score + &
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nuc % reactions(nuc % index_fission(1)) % Q_value * &
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micro_xs(i_nuc) % fission * atom_density_ * flux
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end if
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end associate
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end do
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@ -694,6 +695,123 @@ contains
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end if
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end if
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case (SCORE_FISS_Q_PROMPT)
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if (t % estimator == ESTIMATOR_ANALOG) then
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if (survival_biasing) then
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! No fission events occur if survival biasing is on -- need to
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! calculate fraction of absorptions that would have resulted in
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! fission scaled by Q-value
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associate (nuc => nuclides(p % event_nuclide))
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if (micro_xs(p % event_nuclide) % absorption > ZERO .and. &
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allocated(nuc % fission_q_prompt)) then
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score = p % absorb_wgt &
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* nuc % fission_q_prompt % evaluate(p % last_E) &
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* micro_xs(p % event_nuclide) % fission &
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/ micro_xs(p % event_nuclide) % absorption
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end if
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end associate
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else
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! Skip any non-absorption events
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if (p % event == EVENT_SCATTER) cycle SCORE_LOOP
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! All fission events will contribute, so again we can use
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! particle's weight entering the collision as the estimate for
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! the fission energy production rate
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associate (nuc => nuclides(p % event_nuclide))
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if (allocated(nuc % fission_q_prompt)) then
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score = p % last_wgt &
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* nuc % fission_q_prompt % evaluate(p % last_E) &
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* micro_xs(p % event_nuclide) % fission &
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/ micro_xs(p % event_nuclide) % absorption
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end if
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end associate
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end if
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else
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if (t % estimator == ESTIMATOR_COLLISION) then
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E = p % last_E
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else
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E = p % E
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end if
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if (i_nuclide > 0) then
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if (allocated(nuclides(i_nuclide) % fission_q_prompt)) then
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score = micro_xs(i_nuclide) % fission * atom_density * flux &
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* nuclides(i_nuclide) % fission_q_prompt % evaluate(E)
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else
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score = ZERO
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end if
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else
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score = ZERO
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do l = 1, materials(p % material) % n_nuclides
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atom_density_ = materials(p % material) % atom_density(l)
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i_nuc = materials(p % material) % nuclide(l)
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if (allocated(nuclides(i_nuc) % fission_q_prompt)) then
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score = score + micro_xs(i_nuc) % fission * atom_density_ &
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* flux &
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* nuclides(i_nuc) % fission_q_prompt % evaluate(E)
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end if
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end do
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end if
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end if
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case (SCORE_FISS_Q_RECOV)
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if (t % estimator == ESTIMATOR_ANALOG) then
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if (survival_biasing) then
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! No fission events occur if survival biasing is on -- need to
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! calculate fraction of absorptions that would have resulted in
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! fission scaled by Q-value
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associate (nuc => nuclides(p % event_nuclide))
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if (micro_xs(p % event_nuclide) % absorption > ZERO .and. &
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allocated(nuc % fission_q_recov)) then
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score = p % absorb_wgt &
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* nuc % fission_q_recov % evaluate(p % last_E) &
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* micro_xs(p % event_nuclide) % fission &
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/ micro_xs(p % event_nuclide) % absorption
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end if
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end associate
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else
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! Skip any non-absorption events
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if (p % event == EVENT_SCATTER) cycle SCORE_LOOP
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! All fission events will contribute, so again we can use
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! particle's weight entering the collision as the estimate for
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! the fission energy production rate
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associate (nuc => nuclides(p % event_nuclide))
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if (allocated(nuc % fission_q_recov)) then
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score = p % last_wgt &
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* nuc % fission_q_recov % evaluate(p % last_E) &
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* micro_xs(p % event_nuclide) % fission &
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/ micro_xs(p % event_nuclide) % absorption
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end if
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end associate
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end if
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else
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if (t % estimator == ESTIMATOR_COLLISION) then
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E = p % last_E
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else
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E = p % E
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end if
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if (i_nuclide > 0) then
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if (allocated(nuclides(i_nuclide) % fission_q_recov)) then
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score = micro_xs(i_nuclide) % fission * atom_density * flux &
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* nuclides(i_nuclide) % fission_q_recov % evaluate(E)
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else
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score = ZERO
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end if
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else
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score = ZERO
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do l = 1, materials(p % material) % n_nuclides
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atom_density_ = materials(p % material) % atom_density(l)
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i_nuc = materials(p % material) % nuclide(l)
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if (allocated(nuclides(i_nuc) % fission_q_recov)) then
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score = score + micro_xs(i_nuc) % fission * atom_density_ &
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* flux * nuclides(i_nuc) % fission_q_recov % evaluate(E)
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end if
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end do
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end if
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end if
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case default
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if (t % estimator == ESTIMATOR_ANALOG) then
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! Any other score is assumed to be a MT number. Thus, we just need
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