diag_module Module Reference

Collaboration diagram for diag_module:

Data Types
type	poin_type
	Data structure for Poincare diagnostic. More...

Public Attributes
integer, parameter	diag_max_sp_num =2
integer	diag_tracer_period = 100
integer	diag_tracer_n = 1
integer	diag_tracer_sp = 1
integer, parameter	diag_1d_npv1 =19
logical	diag_1d_on = .true.
integer	diag_1d_period = 10
real(8)	diag_1d_dp
real(8)	diag_1d_dp_inv
integer	diag_1d_isp
integer	diag_1d_nsp
logical	diag_3d_on = .true.
integer	diag_3d_period
integer	diag_f3d_period = 1
	Period in time steps for 3D distribution function diagnostic —> needs to be a multiple of sml_f_source_period. More...
logical	diag_3d_more = .false.
integer, parameter	diag_3d_nvar =3
integer, parameter	diag_f3d_ndiag =17
	Number of diagnostics in 3D-f diagnostic. More...
real(8), dimension(:,:,:), allocatable, target	diag_3d_add
logical	diag_weight_stats = .false.
	switches particle weight diagnostics on and off (marker density, mean weight, weight variance) More...
integer	diag_f0_period = 100
logical	diag_f0_g =.false.
	writing f0_g output in restart_dir/xgc.f0.xxx.bp More...
logical	diag_f0_n =.false.
	writing f0_n output in restart_dir/xgc.f0.xxx.bp More...
integer	diag_neutral_period = 100
	The number of discrete timesteps between writing the neutral output files. Should generally be equal to neu_background_period. More...
integer	diag_poin_nrec = 1000
	Size of data buffer (number of time slices) for Poincare diagnostic (sml_special==4) More...
integer	diag_poin_isp = 1
	Species for which a Poincare plot is recorded (sml_special==4) More...
type(poin_type)	diag_poin
real(8), dimension(:,:), allocatable, target	diag_marker_den
	For the marker particle density. More...
real(8), dimension(:,:), allocatable, target	diag_weight_mean
	The mean marker weight. More...
real(8), dimension(:,:), allocatable, target	diag_weight_variance
	The variance of the marker particle weights. More...
integer	diag_ps_reset_period =10
real(8)	diag_ps_pin =0.8
real(8)	diag_ps_pout =0.81

Member Data Documentation

real (8) diag_module::diag_1d_dp

real (8) diag_module::diag_1d_dp_inv

integer diag_module::diag_1d_isp

integer, parameter diag_module::diag_1d_npv1 =19

integer diag_module::diag_1d_nsp

logical diag_module::diag_1d_on = .true.

integer diag_module::diag_1d_period = 10

real (8), dimension(:,:,:), allocatable, target diag_module::diag_3d_add

logical diag_module::diag_3d_more = .false.

integer, parameter diag_module::diag_3d_nvar =3

logical diag_module::diag_3d_on = .true.

integer diag_module::diag_3d_period

logical diag_module::diag_f0_g =.false.

writing f0_g output in restart_dir/xgc.f0.xxx.bp

logical diag_module::diag_f0_n =.false.

writing f0_n output in restart_dir/xgc.f0.xxx.bp

integer diag_module::diag_f0_period = 100

integer, parameter diag_module::diag_f3d_ndiag =17

Number of diagnostics in 3D-f diagnostic.

integer diag_module::diag_f3d_period = 1

Period in time steps for 3D distribution function diagnostic —> needs to be a multiple of sml_f_source_period.

real (8), dimension(:,:), allocatable, target diag_module::diag_marker_den

For the marker particle density.

integer, parameter diag_module::diag_max_sp_num =2

integer diag_module::diag_neutral_period = 100

The number of discrete timesteps between writing the neutral output files. Should generally be equal to neu_background_period.

type(poin_type) diag_module::diag_poin

integer diag_module::diag_poin_isp = 1

Species for which a Poincare plot is recorded (sml_special==4)

integer diag_module::diag_poin_nrec = 1000

Size of data buffer (number of time slices) for Poincare diagnostic (sml_special==4)

real (8) diag_module::diag_ps_pin =0.8

real (8) diag_module::diag_ps_pout =0.81

integer diag_module::diag_ps_reset_period =10

integer diag_module::diag_tracer_n = 1

integer diag_module::diag_tracer_period = 100

integer diag_module::diag_tracer_sp = 1

real (8), dimension(:,:), allocatable, target diag_module::diag_weight_mean

The mean marker weight.

logical diag_module::diag_weight_stats = .false.

switches particle weight diagnostics on and off (marker density, mean weight, weight variance)

real (8), dimension(:,:), allocatable, target diag_module::diag_weight_variance

The variance of the marker particle weights.

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The documentation for this module was generated from the following file:

• /u/gitlab-xgc/builds/YGMz2TJ8/0/xgc/XGC-Devel/XGC_core/module.F90