ML surrogate example #482
Merged
ML surrogate example #482
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
RTSandberg
force-pushed
the
example-machine-learning
branch
from
b599504 to
c1f1fdb
Compare
for more information, see https://pre-commit.ci
![github-advanced-security[bot]](https://avatars.githubusercontent.com/in/57789?s=60&v=4){kind=small}
ax3l
reviewed
Dec 9, 2023
ax3l
reviewed
Dec 12, 2023
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
| Sigmoid = 4 | ||
|
|
||
|
|
||
| def get_enum_type(type_to_test, EnumClass): |
Check notice
Code scanning / CodeQL
Explicit returns mixed with implicit (fall through) returns Note
| def download_and_unzip(url, data_dir): | ||
| request.urlretrieve(url, data_dir) | ||
| with tarfile.open(data_dir) as tar_dataset: | ||
| tar_dataset.extractall() |
Check failure
Code scanning / CodeQL
Arbitrary file write during tarfile extraction High
ax3l
reviewed
Dec 13, 2023
ax3l
reviewed
Dec 13, 2023
ax3l
reviewed
Dec 13, 2023
ax3l
reviewed
Dec 13, 2023
ax3l
reviewed
Dec 13, 2023
ax3l
reviewed
Dec 13, 2023
ax3l
reviewed
Dec 13, 2023
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
An example using PyTorch neural network surrogates in ImpactX. The neural networks are trained on data from WarpX simulations.
This is an example of 9 stages of Laser-plasma accelerator elements coupled with simple 3 cm beam transport between stages using idealized plasma lenses as illustrated in the below schematic.
Some initial phase space projections are as shown:
At the end of the 9 stages, the beam evolves to this:
The beam moments evolve as shown:
Actions