You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: Docs/source/dataanalysis/visualpic.rst
+3-1Lines changed: 3 additions & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -32,9 +32,11 @@ Example: ``vpic3d -s beam -rho -Ez diags/diag1/`` could be used to visualize the
32
32
Example: ``vpic3d -Ex diags/diag1/`` could be used to visualize the transverse focusing field :math:`E_x` in a plasma wake behind a laser pulse (linearly polarized in :math:`E_y`), see below:
:alt:Example view of a 3D rendering with VisualPIC.
35
+
:alt:figure not found
36
36
:width:100%
37
37
38
+
Example view of a 3D rendering with VisualPIC.
39
+
38
40
The **Python script** controlled rendering allows more flexible options, such as selecting and cutting views, rendering directly into an image file, looping for animations, etc.
39
41
As with matplotlib scripts, Python script scenes can also be used to open a GUI and then browse time series interactively.
40
42
The `VisualPIC examples <https://github.com/AngelFP/VisualPIC/tree/dev/examples>`__ provide showcases for scripting.
:alt:Screen capture showing how to access Azure pipeline output on Github.
106
+
:alt:figure not found
107
+
108
+
Screen capture showing how to access Azure pipeline output on Github.
103
109
104
110
From this output, there are two options to reset the benchmarks:
105
111
@@ -108,7 +114,9 @@ From this output, there are two options to reset the benchmarks:
108
114
For instance, if the failing test is ``LaserAcceleration_BTD``, this content can be pasted into the file ``Regression/Checksum/benchmarks_json/LaserAcceleration_BTD.json``.
Copy file name to clipboardExpand all lines: Docs/source/theory/amr.rst
+3-3Lines changed: 3 additions & 3 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -6,7 +6,7 @@ Mesh refinement
6
6
.. _fig_ESAMR:
7
7
8
8
.. figure:: ICNSP_2011_Vay_fig1.png
9
-
:alt: Sketches of the implementation of mesh refinement in WarpX with the electrostatic (left) and electromagnetic (right) solvers. In both cases, the charge/current from particles are deposited at the finest levels first, then interpolated recursively to coarser levels. In the electrostatic case, the potential is calculated first at the coarsest level :math:`L_0`, the solution interpolated to the boundaries of the refined patch :math:`r` at the next level :math:`L_{1}` and the potential calculated at :math:`L_1`. The procedure is repeated iteratively up to the highest level. In the electromagnetic case, the fields are computed independently on each grid and patch without interpolation at boundaries. Patches are terminated by absorbing layers (PML) to prevent the reflection of electromagnetic waves. Additional coarse patch :math:`c` and fine grid :math:`a` are needed so that the full solution is obtained by substitution on :math:`a` as :math:`F_{n+1}(a)=F_{n+1}(r)+I[F_n( s )-F_{n+1}( c )]` where :math:`F` is the field, and :math:`I` is a coarse-to-fine interpolation operator. In both cases, the field solution at a given level :math:`L_n` is unaffected by the solution at higher levels :math:`L_{n+1}` and up, allowing for mitigation of some spurious effects (see text) by providing a transition zone via extension of the patches by a few cells beyond the desired refined area (red & orange rectangles) in which the field is interpolated onto particles from the coarser parent level only.
9
+
:alt:figure not found
10
10
:width:95%
11
11
12
12
Sketches of the implementation of mesh refinement in WarpX with the electrostatic (left) and electromagnetic (right) solvers. In both cases, the charge/current from particles are deposited at the finest levels first, then interpolated recursively to coarser levels. In the electrostatic case, the potential is calculated first at the coarsest level :math:`L_0`, the solution interpolated to the boundaries of the refined patch :math:`r` at the next level :math:`L_{1}` and the potential calculated at :math:`L_1`. The procedure is repeated iteratively up to the highest level. In the electromagnetic case, the fields are computed independently on each grid and patch without interpolation at boundaries. Patches are terminated by absorbing layers (PML) to prevent the reflection of electromagnetic waves. Additional coarse patch :math:`c` and fine grid :math:`a` are needed so that the full solution is obtained by substitution on :math:`a` as :math:`F_{n+1}(a)=F_{n+1}(r)+I[F_n( s )-F_{n+1}( c )]` where :math:`F` is the field, and :math:`I` is a coarse-to-fine interpolation operator. In both cases, the field solution at a given level :math:`L_n` is unaffected by the solution at higher levels :math:`L_{n+1}` and up, allowing for mitigation of some spurious effects (see text) by providing a transition zone via extension of the patches by a few cells beyond the desired refined area (red & orange rectangles) in which the field is interpolated onto particles from the coarser parent level only.
@@ -25,7 +25,7 @@ A sketch of the implementation of mesh refinement in WarpX is given in :numref:`
25
25
.. _fig_ESselfforce:
26
26
27
27
.. figure:: ICNSP_2011_Vay_fig2.png
28
-
:alt:Position history of one charged particle attracted by its image induced by a nearby metallic (dirichlet) boundary. The particle is initialized at rest. Without refinement patch (reference case), the particle is accelerated by its image, is reflected specularly at the wall, then decelerates until it reaches its initial position at rest. If the particle is initialized inside a refinement patch, the particle is initially accelerated toward the wall but is spuriously reflected before it reaches the boundary of the patch whether using the method implemented in WarpX or the MC method. Providing a surrounding transition region 2 or 4 cells wide in which the potential is interpolated from the parent coarse solution reduces significantly the effect of the spurious self-force.
28
+
:alt:figure not found
29
29
:width:95%
30
30
31
31
Position history of one charged particle attracted by its image induced by a nearby metallic (dirichlet) boundary. The particle is initialized at rest. Without refinement patch (reference case), the particle is accelerated by its image, is reflected specularly at the wall, then decelerates until it reaches its initial position at rest. If the particle is initialized inside a refinement patch, the particle is initially accelerated toward the wall but is spuriously reflected before it reaches the boundary of the patch whether using the method implemented in WarpX or the MC method. Providing a surrounding transition region 2 or 4 cells wide in which the potential is interpolated from the parent coarse solution reduces significantly the effect of the spurious self-force.
@@ -35,7 +35,7 @@ The presence of the self-force is illustrated on a simple test case that was int
35
35
.. _fig_ESselfforcemap:
36
36
37
37
.. figure:: ICNSP_2011_Vay_fig3.png
38
-
:alt:(left) Maps of the magnitude of the spurious self-force :math:`\epsilon` in arbitrary units within one quarter of the refined patch, defined as :math:`\epsilon=\sqrt{(E_x-E_x^{ref})^2+(E_y-E_y^{ref})^2}`, where :math:`E_x` and :math:`E_y` are the electric field components within the patch experienced by one particle at a given location and :math:`E_x^{ref}` and :math:`E_y^{ref}` are the electric field from a reference solution. The map is given for the WarpX and the MC mesh refinement algorithms and for linear and quadratic interpolation at the patch refinement boundary. (right) Lineouts of the maximum (taken over neighboring cells) of the spurious self-force. Close to the interface boundary (x=0), the spurious self-force decreases at a rate close to one order of magnitude per cell (red line), then at about one order of magnitude per six cells (green line).
38
+
:alt:figure not found
39
39
:width:95%
40
40
41
41
(left) Maps of the magnitude of the spurious self-force :math:`\epsilon` in arbitrary units within one quarter of the refined patch, defined as :math:`\epsilon=\sqrt{(E_x-E_x^{ref})^2+(E_y-E_y^{ref})^2}`, where :math:`E_x` and :math:`E_y` are the electric field components within the patch experienced by one particle at a given location and :math:`E_x^{ref}` and :math:`E_y^{ref}` are the electric field from a reference solution. The map is given for the WarpX and the MC mesh refinement algorithms and for linear and quadratic interpolation at the patch refinement boundary. (right) Lineouts of the maximum (taken over neighboring cells) of the spurious self-force. Close to the interface boundary (x=0), the spurious self-force decreases at a rate close to one order of magnitude per cell (red line), then at about one order of magnitude per six cells (green line).
Copy file name to clipboardExpand all lines: Docs/source/theory/boosted_frame.rst
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -8,7 +8,7 @@ The simulations of plasma accelerators from first principles are extremely compu
8
8
.. _fig_Boosted_frame:
9
9
10
10
.. figure:: Boosted_frame.png
11
-
:alt:[fig:Boosted-frame] A first principle simulation of a short driver beam (laser or charged particles) propagating through a plasma that is orders of magnitude longer necessitates a very large number of time steps. Recasting the simulation in a frame of reference that is moving close to the speed of light in the direction of the driver beam leads to simulating a driver beam that appears longer propagating through a plasma that appears shorter than in the laboratory. Thus, this relativistic transformation of space and time reduces the disparity of scales, and thereby the number of time steps to complete the simulation, by orders of magnitude.
11
+
:alt:figure not found
12
12
13
13
A first principle simulation of a short driver beam (laser or charged particles) propagating through a plasma that is orders of magnitude longer necessitates a very large number of time steps. Recasting the simulation in a frame of reference that is moving close to the speed of light in the direction of the driver beam leads to simulating a driver beam that appears longer propagating through a plasma that appears shorter than in the laboratory. Thus, this relativistic transformation of space and time reduces the disparity of scales, and thereby the number of time steps to complete the simulation, by orders of magnitude.
Copy file name to clipboardExpand all lines: Docs/source/theory/boosted_frame/input_output.rst
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -15,7 +15,7 @@ Inputs and outputs in a boosted frame simulation
15
15
.. _fig_inputoutput:
16
16
17
17
.. figure:: Input_output.png
18
-
:alt:(top) Snapshot of a particle beam showing “frozen" (grey spheres) and “active" (colored spheres) macroparticles traversing the injection plane (red rectangle). (bottom) Snapshot of the beam macroparticles (colored spheres) passing through the background of electrons (dark brown streamlines) and the diagnostic stations (red rectangles). The electrons, the injection plane and the diagnostic stations are fixed in the laboratory plane, and are thus counter-propagating to the beam in a boosted frame.
18
+
:alt:figure not found
19
19
:width:100%
20
20
21
21
(top) Snapshot of a particle beam showing “frozen" (grey spheres) and “active" (colored spheres) macroparticles traversing the injection plane (red rectangle). (bottom) Snapshot of the beam macroparticles (colored spheres) passing through the background of electrons (dark brown streamlines) and the diagnostic stations (red rectangles). The electrons, the injection plane and the diagnostic stations are fixed in the laboratory plane, and are thus counter-propagating to the beam in a boosted frame.
0 commit comments