Skip to content

Commit 83c546a

Browse files
committed
Merge branch 'main' of github.com:MALAPA-Collab/cheetah-tutorial-2025
2 parents 0b077e9 + a95833a commit 83c546a

File tree

2 files changed

+2
-0
lines changed

2 files changed

+2
-0
lines changed

tutorial.ipynb

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -379,6 +379,7 @@
379379
"### Papers\n",
380380
"\n",
381381
"- 2022 first paper on Cheetah developments at IPAC'22: [Accelerating Linear Beam Dynamics Simulations for Machine Learning Applications](https://accelconf.web.cern.ch/ipac2022/doi/JACoW-IPAC2022-WEPOMS036.html)\n",
382+
"- 2023 paper on Bmad-X differentiable simulations at IPAC'23: [Towards Fully Differentiable Accelerator Modeling](https://accelconf.web.cern.ch/ipac2023/doi/jacow-ipac2023-wepa065/)\n",
382383
"- 2024 main Cheetah paper in PRAB: [Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations](https://doi.org/10.1103/PhysRevAccelBeams.27.054601)\n",
383384
"- 2024 paper on advancements in differentiable simulations at LINAC2024: [Advancements in Backwards Differentiable Beam Dynamics Simulations for Accelerator Design, Model Calibration, and Machine Learning](https://meow.elettra.eu/71/doi/jacow-linac2024-thpb068/index.html)\n"
384385
]

tutorial.slides.html

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -7821,6 +7821,7 @@ <h3 id="Cheetah-in-numbers">Cheetah in numbers<a class="anchor-link" href="#Chee
78217821
</ul>
78227822
<h3 id="Papers">Papers<a class="anchor-link" href="#Papers">¶</a></h3><ul>
78237823
<li>2022 first paper on Cheetah developments at IPAC'22: <a href="https://accelconf.web.cern.ch/ipac2022/doi/JACoW-IPAC2022-WEPOMS036.html">Accelerating Linear Beam Dynamics Simulations for Machine Learning Applications</a></li>
7824+
<li>2023 paper on Bmad-X differentiable simulations at IPAC'23: <a href="https://accelconf.web.cern.ch/ipac2023/doi/jacow-ipac2023-wepa065/">Towards Fully Differentiable Accelerator Modeling</a></li>
78247825
<li>2024 main Cheetah paper in PRAB: <a href="https://doi.org/10.1103/PhysRevAccelBeams.27.054601">Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations</a></li>
78257826
<li>2024 paper on advancements in differentiable simulations at LINAC2024: <a href="https://meow.elettra.eu/71/doi/jacow-linac2024-thpb068/index.html">Advancements in Backwards Differentiable Beam Dynamics Simulations for Accelerator Design, Model Calibration, and Machine Learning</a></li>
78267827
</ul>

0 commit comments

Comments
 (0)