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| author |  Prabhat Kumar <89051199+prkkumar@users.noreply.github.com>
| 2023-01-17 13:28:45 -0800 |
|---|---|---|
| committer |  GitHub <noreply@github.com>
| 2023-01-17 21:28:45 +0000 |
| commit | f085da36d40472c42f0653f87867148ca8cc656d (patch) | |
| tree | 49314d7c0f6c6d2f87b30361e2da1f1c9c71799f /Examples/Physics_applications | |
| parent | 76ef14c14ccdfc1b4ca20875c766d1b6c7725d50 (diff) | |
| download | WarpX-f085da36d40472c42f0653f87867148ca8cc656d.tar.gz WarpX-f085da36d40472c42f0653f87867148ca8cc656d.tar.zst WarpX-f085da36d40472c42f0653f87867148ca8cc656d.zip | |
Modify refined injection CI test for anisotropic ref ratio (#3605)
* Modify refined ijection CI to account for anisotropic ref ratio
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* change n_move based on new dt
* change variable name to be more specific
* Update Regression/WarpX-tests.ini
Co-authored-by: Edoardo Zoni <59625522+EZoni@users.noreply.github.com>
* reset benchmark for RefineInjection because now it uses anisotropic refinement ratio
* add comment to show the formula for n_move
* Reset benchmark of `RefinedInjection`
* Remove wrong benchmark file
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Edoardo Zoni <59625522+EZoni@users.noreply.github.com>
Co-authored-by: Edoardo Zoni <ezoni@lbl.gov>
Diffstat (limited to 'Examples/Physics_applications')
| -rwxr-xr-x | Examples/Physics_applications/laser_acceleration/analysis_refined_injection.py | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/Examples/Physics_applications/laser_acceleration/analysis_refined_injection.py b/Examples/Physics_applications/laser_acceleration/analysis_refined_injection.py index a9527fa1f..e7d26d2cb 100755 --- a/Examples/Physics_applications/laser_acceleration/analysis_refined_injection.py +++ b/Examples/Physics_applications/laser_acceleration/analysis_refined_injection.py @@ -39,13 +39,14 @@ n_fine = 64 # num particles per stream at time 0 n_0 = 15 -# number of times moving window moves -n_move = 99 +# number of times the moving window moves, calculated as n_move = (c*t)/dz where c is speed of light, t is physical time (nsteps*dt). dz is dz on level 0 +n_move = 192 -# ref ratio -rr = 2 +# ref ratio = 2 1 +# Refined only transversly. Longitudinal spacing between particles in each stream is the same in both coarse and fine regions +rr_longitudinal = 1 -np_expected = (n_coarse + n_fine*rr)*(n_0 + n_move) +np_expected = (n_coarse + n_fine*rr_longitudinal)*(n_0 + n_move) assert( np == np_expected ) |